diff --git a/.devops/openvino.Dockerfile b/.devops/openvino.Dockerfile new file mode 100644 index 0000000000..e22ef16c7f --- /dev/null +++ b/.devops/openvino.Dockerfile @@ -0,0 +1,138 @@ +ARG OPENVINO_VERSION_MAJOR=2026.0 +ARG OPENVINO_VERSION_FULL=2026.0.0.20965.c6d6a13a886 +ARG UBUNTU_VERSION=24.04 + +# Optional proxy build arguments - empty by default +ARG http_proxy= +ARG https_proxy= + +## Build Image +FROM ubuntu:${UBUNTU_VERSION} AS build + +# Pass proxy args to build stage +ARG http_proxy +ARG https_proxy + +RUN apt-get update && \ + apt-get install -y --no-install-recommends \ + ca-certificates \ + gnupg \ + wget \ + git \ + cmake \ + ninja-build \ + build-essential \ + libtbb12 \ + libssl-dev \ + ocl-icd-opencl-dev \ + opencl-headers \ + opencl-clhpp-headers \ + intel-opencl-icd && \ + rm -rf /var/lib/apt/lists/* + +# Install OpenVINO for Ubuntu 24.04 +ARG OPENVINO_VERSION_MAJOR +ARG OPENVINO_VERSION_FULL +RUN mkdir -p /opt/intel && \ + wget https://storage.openvinotoolkit.org/repositories/openvino/packages/${OPENVINO_VERSION_MAJOR}/linux/openvino_toolkit_ubuntu24_${OPENVINO_VERSION_FULL}_x86_64.tgz && \ + tar -xf openvino_toolkit_ubuntu24_${OPENVINO_VERSION_FULL}_x86_64.tgz && \ + mv openvino_toolkit_ubuntu24_${OPENVINO_VERSION_FULL}_x86_64 /opt/intel/openvino_${OPENVINO_VERSION_MAJOR} && \ + cd /opt/intel/openvino_${OPENVINO_VERSION_MAJOR} && \ + echo "Y" | ./install_dependencies/install_openvino_dependencies.sh && \ + cd - && \ + ln -s /opt/intel/openvino_${OPENVINO_VERSION_MAJOR} /opt/intel/openvino + +ENV OpenVINO_DIR=/opt/intel/openvino + +WORKDIR /app + +COPY . . + +# Build Stage +RUN bash -c "source ${OpenVINO_DIR}/setupvars.sh && \ + cmake -B build/ReleaseOV -G Ninja \ + -DCMAKE_BUILD_TYPE=Release \ + -DGGML_OPENVINO=ON && \ + cmake --build build/ReleaseOV -j$(nproc)" + +# Copy all necessary libraries +RUN mkdir -p /app/lib && \ + find build/ReleaseOV -name '*.so*' -exec cp {} /app/lib \; && \ + find ${OpenVINO_DIR}/runtime/lib/intel64 -name '*.so*' -exec cp -P {} /app/lib \; 2>/dev/null || \ + find ${OpenVINO_DIR}/lib/intel64 -name '*.so*' -exec cp -P {} /app/lib \; + +# Create runtime directories and copy binaries +RUN mkdir -p /app/full \ + && cp build/ReleaseOV/bin/* /app/full/ \ + && cp *.py /app/full \ + && cp -r gguf-py /app/full \ + && cp -r requirements /app/full \ + && cp requirements.txt /app/full \ + && cp .devops/tools.sh /app/full/tools.sh + +## Base Runtime Image +FROM ubuntu:${UBUNTU_VERSION} AS base + +# Pass proxy args to runtime stage +ARG http_proxy +ARG https_proxy + +RUN apt-get update \ + && apt-get install -y libgomp1 libtbb12 curl\ + && apt autoremove -y \ + && apt clean -y \ + && rm -rf /tmp/* /var/tmp/* \ + && find /var/cache/apt/archives /var/lib/apt/lists -not -name lock -type f -delete \ + && find /var/cache -type f -delete + +COPY --from=build /app/lib/ /app/ + +### Full (all binaries) +FROM base AS full + +ARG http_proxy +ARG https_proxy + +COPY --from=build /app/full /app/ + +WORKDIR /app + +RUN apt-get update && \ + apt-get install -y --no-install-recommends \ + git \ + python3 \ + python3-venv \ + python3-pip && \ + python3 -m venv /ov-venv && \ + /ov-venv/bin/pip install --no-cache-dir --upgrade pip setuptools wheel && \ + /ov-venv/bin/pip install --no-cache-dir -r requirements.txt && \ + apt-get autoremove -y && \ + apt-get clean && \ + rm -rf /tmp/* /var/tmp/* && \ + find /var/cache/apt/archives /var/lib/apt/lists -not -name lock -type f -delete && \ + find /var/cache -type f -delete + +ENTRYPOINT ["/bin/bash", "-c", "source /ov-venv/bin/activate && exec /app/tools.sh \"$@\"", "--"] + + +### Light, CLI only +FROM base AS light + +COPY --from=build /app/full/llama-cli /app/ + +WORKDIR /app + +ENTRYPOINT [ "/app/llama-cli" ] + +### Server, Server only +FROM base AS server + +ENV LLAMA_ARG_HOST=0.0.0.0 + +COPY --from=build /app/full/llama-server /app/ + +WORKDIR /app + +HEALTHCHECK CMD [ "curl", "-f", "http://localhost:8080/health" ] + +ENTRYPOINT [ "/app/llama-server" ] diff --git a/.devops/vulkan.Dockerfile b/.devops/vulkan.Dockerfile index 5d6c87ed6b..3112ec85ef 100644 --- a/.devops/vulkan.Dockerfile +++ b/.devops/vulkan.Dockerfile @@ -53,10 +53,11 @@ RUN apt-get update \ && apt-get install -y \ build-essential \ git \ - python3 \ - python3-dev \ + python3.13 \ + python3.13-dev \ python3-pip \ python3-wheel \ + && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.13 100 \ && pip install --break-system-packages --upgrade setuptools \ && pip install --break-system-packages -r requirements.txt \ && apt autoremove -y \ diff --git a/.github/actions/linux-setup-openvino/action.yml b/.github/actions/linux-setup-openvino/action.yml new file mode 100644 index 0000000000..46a659a827 --- /dev/null +++ b/.github/actions/linux-setup-openvino/action.yml @@ -0,0 +1,25 @@ +name: "Linux - Setup OpenVINO Toolkit" +description: "Setup OpenVINO Toolkit for Linux" +inputs: + path: + description: "Installation path" + required: true + version_major: + description: "OpenVINO major version (e.g., 2025.3)" + required: true + version_full: + description: "OpenVINO full version (e.g., 2025.3.0.19807.44526285f24)" + required: true + +runs: + using: "composite" + steps: + - name: Setup OpenVINO Toolkit + id: setup + uses: ./.github/actions/unarchive-tar + with: + url: https://storage.openvinotoolkit.org/repositories/openvino/packages/${{ inputs.version_major }}/linux/openvino_toolkit_ubuntu24_${{ inputs.version_full }}_x86_64.tgz + path: ${{ inputs.path }} + type: z + strip: 1 + diff --git a/.github/labeler.yml b/.github/labeler.yml index 08cfd7e0bc..e9b75bc29e 100644 --- a/.github/labeler.yml +++ b/.github/labeler.yml @@ -104,3 +104,20 @@ OpenCL: - any-glob-to-any-file: - ggml/include/ggml-opencl.h - ggml/src/ggml-opencl/** + - docs/backend/OPENCL.md +Hexagon: + - changed-files: + - any-glob-to-any-file: + - ggml/include/ggml-hexagon.h + - ggml/src/ggml-hexagon/** +WebGPU: + - changed-files: + - any-glob-to-any-file: + - ggml/include/ggml-webgpu.h + - ggml/src/ggml-webgpu/** +OpenVINO: + - changed-files: + - any-glob-to-any-file: + - ggml/include/ggml-openvino.h + - ggml/src/ggml-openvino/** + - docs/backend/OPENVINO.md diff --git a/.github/workflows/ai-issues.yml b/.github/workflows/ai-issues.yml new file mode 100644 index 0000000000..caa74ca223 --- /dev/null +++ b/.github/workflows/ai-issues.yml @@ -0,0 +1,87 @@ +name: AI review (issues) + +on: + issues: + types: [opened] + +jobs: + find-related: + if: github.event.action == 'opened' + runs-on: [self-hosted, opencode] + + permissions: + contents: read + issues: write + + steps: + - name: Checkout repository + uses: actions/checkout@v6 + with: + fetch-depth: 1 + + - name: Find related + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + OPENCODE_PERMISSION: | + { + "bash": { + "*": "deny", + "gh issue*": "allow", + "gh search issues*": "allow" + }, + "webfetch": "deny" + } + run: | + rm AGENTS.md + rm CLAUDE.md + + timeout 5m opencode run -m llama.cpp-dgx/ai-review-issues-find-similar --thinking "A new issue has been created: + + Issue number: ${{ github.event.issue.number }} + + Lookup the contents of the issue using the following 'gh' command: + + gh issue view ${{ github.event.issue.number }} --json title,body,url,number + + Next, perform the following task and then post a SINGLE comment (if needed). + + --- + + TASK : FIND RELATED ISSUES + + Using the 'gh' CLI tool, search through existing issues on Github. + Find related or similar issues to the newly created one and list them. + Do not list the new issue itself (it is #${{ github.event.issue.number }}). + + Consider: + 1. Similar titles or descriptions + 2. Same error messages or symptoms + 3. Related functionality or components + 4. Similar feature requests + + --- + + POSTING YOUR COMMENT: + + Based on your findings, post a SINGLE comment on issue #${{ github.event.issue.number }}. Build the comment as follows: + + - If no related issues were found, do NOT comment at all. + - If related issues were found, include a section listing them with links using the following format: + + [comment] + This issue might be similar or related to the following issue(s): + + - #[related_issue_number]: [brief description of how they are related] + - #[related_issue_number]: [brief description of how they are related] + ... + + _This comment was auto-generated locally using **$GA_ENGINE** on **$GA_MACHINE**_ + [/comment] + + Remember: + - Do not include the comment tags in your actual comment. + - Post at most ONE comment combining all findings. + - If you didn't find issues that are related enough, post nothing. + - You have access only to the 'gh' CLI tool - don't try to use other tools. + - If the output from a tool call is too long, try to limit down the search. + " diff --git a/.github/workflows/build-3rd-party.yml b/.github/workflows/build-3rd-party.yml new file mode 100644 index 0000000000..642d978644 --- /dev/null +++ b/.github/workflows/build-3rd-party.yml @@ -0,0 +1,57 @@ +name: CI (3rd-party) + +on: + workflow_dispatch: # allows manual triggering + push: + branches: + - master + paths: [ + '.github/workflows/build-3rd-party.yml', + '**/CMakeLists.txt', + '**/.cmake', + '**/*.h', + '**/*.hpp', + '**/*.c', + '**/*.cpp' + ] + +concurrency: + group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} + cancel-in-progress: true + +env: + GGML_NLOOP: 3 + GGML_N_THREADS: 1 + LLAMA_LOG_COLORS: 1 + LLAMA_LOG_PREFIX: 1 + LLAMA_LOG_TIMESTAMPS: 1 + +jobs: + ubuntu-24-llguidance: + runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }} + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: Dependencies + id: depends + run: | + sudo apt-get update + sudo apt-get install build-essential libssl-dev + + - name: Build + id: cmake_build + run: | + cmake -B build \ + -DLLAMA_FATAL_WARNINGS=ON \ + -DLLAMA_LLGUIDANCE=ON + cmake --build build --config Release -j $(nproc) + + - name: Test + id: cmake_test + run: | + cd build + ctest -L main --verbose --timeout 900 + diff --git a/.github/workflows/build-android.yml b/.github/workflows/build-android.yml new file mode 100644 index 0000000000..cd9d99ffab --- /dev/null +++ b/.github/workflows/build-android.yml @@ -0,0 +1,140 @@ +name: CI (android) + +on: + workflow_dispatch: # allows manual triggering + push: + branches: + - master + paths: [ + '.github/workflows/build-android.yml', + '**/CMakeLists.txt', + '**/.cmake', + '**/*.h', + '**/*.hpp', + '**/*.c', + '**/*.cpp' + ] + + pull_request: + types: [opened, synchronize, reopened] + paths: [ + '.github/workflows/build-android.yml', + 'examples/llama.android/**' + ] + +concurrency: + group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} + cancel-in-progress: true + +env: + GGML_NLOOP: 3 + GGML_N_THREADS: 1 + LLAMA_LOG_COLORS: 1 + LLAMA_LOG_PREFIX: 1 + LLAMA_LOG_TIMESTAMPS: 1 + +jobs: + android: + runs-on: ubuntu-latest + + steps: + - name: Clone + uses: actions/checkout@v6 + + # Disabled due to size (400MB) and always 0 cache hits + # - name: ccache + # uses: ggml-org/ccache-action@v1.2.16 + # with: + # key: android-build + # evict-old-files: 1d + + - name: Set up JDK + uses: actions/setup-java@v5 + with: + java-version: 17 + distribution: zulu + + - name: Setup Android SDK + uses: android-actions/setup-android@v3 + with: + log-accepted-android-sdk-licenses: false + + - name: Build + run: | + cd examples/llama.android + ./gradlew build --no-daemon + + android-ndk: + runs-on: ubuntu-latest + + env: + OPENCL_VERSION: 2025.07.22 + + strategy: + matrix: + include: + - build: 'arm64-cpu' + defines: '-D ANDROID_ABI=arm64-v8a -D ANDROID_PLATFORM=android-31 -D CMAKE_TOOLCHAIN_FILE=${ANDROID_NDK_ROOT}/build/cmake/android.toolchain.cmake -D GGML_NATIVE=OFF -DGGML_CPU_ARM_ARCH=armv8.5-a+fp16+i8mm -G Ninja -D LLAMA_OPENSSL=OFF -D GGML_OPENMP=OFF' + - build: 'arm64-snapdragon' + defines: '--preset arm64-android-snapdragon-release' + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: Install OpenCL Headers and Libs + id: install_opencl + if: ${{ matrix.build == 'arm64-snapdragon' }} + run: | + mkdir opencl + curl -L -o opencl/clhpp.tar.gz https://github.com/KhronosGroup/OpenCL-CLHPP/archive/refs/tags/v${OPENCL_VERSION}.tar.gz + curl -L -o opencl/headers.tar.gz https://github.com/KhronosGroup/OpenCL-Headers/archive/refs/tags/v${OPENCL_VERSION}.tar.gz + curl -L -o opencl/icd-loader.tar.gz https://github.com/KhronosGroup/OpenCL-ICD-Loader/archive/refs/tags/v${OPENCL_VERSION}.tar.gz + tar -xaf opencl/headers.tar.gz -C opencl + tar -xaf opencl/clhpp.tar.gz -C opencl + tar -xaf opencl/icd-loader.tar.gz -C opencl + sudo cp -r opencl/OpenCL-Headers-${OPENCL_VERSION}/CL ${ANDROID_NDK_ROOT}/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include + sudo cp -r opencl/OpenCL-CLHPP-${OPENCL_VERSION}/include/CL/* ${ANDROID_NDK_ROOT}/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include/CL + cd opencl/OpenCL-ICD-Loader-${OPENCL_VERSION} + cmake -B build -G Ninja -DCMAKE_BUILD_TYPE=Release -DCMAKE_TOOLCHAIN_FILE=${ANDROID_NDK_ROOT}/build/cmake/android.toolchain.cmake -DOPENCL_ICD_LOADER_HEADERS_DIR=${ANDROID_NDK_ROOT}/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include -DANDROID_ABI=arm64-v8a -DANDROID_PLATFORM=31 -DANDROID_STL=c++_shared + cmake --build build + sudo cp build/libOpenCL.so ${ANDROID_NDK_ROOT}/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib/aarch64-linux-android + rm -rf opencl + + - name: Install Hexagon SDK + id: install_hexsdk + if: ${{ matrix.build == 'arm64-snapdragon' }} + env: + HEXSDK_VER: 6.4.0.2 + HEXTLS_VER: 19.0.04 + run: | + curl -L -o hex-sdk.tar.gz https://github.com/snapdragon-toolchain/hexagon-sdk/releases/download/v$HEXSDK_VER/hexagon-sdk-v$HEXSDK_VER-amd64-lnx.tar.xz + mkdir hex-sdk + tar -xaf hex-sdk.tar.gz -C hex-sdk + ls -l hex-sdk + sudo mv hex-sdk /opt/hexagon + echo "HEXAGON_SDK_ROOT=/opt/hexagon/$HEXSDK_VER" >> "$GITHUB_ENV" + echo "HEXAGON_TOOLS_ROOT=/opt/hexagon/$HEXSDK_VER/tools/HEXAGON_Tools/$HEXTLS_VER" >> "$GITHUB_ENV" + echo "DEFAULT_HLOS_ARCH=64" >> "$GITHUB_ENV" + echo "DEFAULT_TOOLS_VARIANT=toolv19" >> "$GITHUB_ENV" + echo "DEFAULT_NO_QURT_INC=0" >> "$GITHUB_ENV" + echo "DEFAULT_DSP_ARCH=v73" >> "$GITHUB_ENV" + + - name: Update CMake presets + id: update_presets + if: ${{ matrix.build == 'arm64-snapdragon' }} + run: | + cp docs/backend/snapdragon/CMakeUserPresets.json . + + - name: Build + id: ndk_build + run: | + cmake ${{ matrix.defines }} -B build + cmake --build build + cmake --install build --prefix pkg-adb/llama.cpp + + - name: Test + id: cmake_test + run: | + echo "FIXME: test on devices" diff --git a/.github/workflows/build-apple.yml b/.github/workflows/build-apple.yml new file mode 100644 index 0000000000..b99e614666 --- /dev/null +++ b/.github/workflows/build-apple.yml @@ -0,0 +1,214 @@ +name: CI (apple) + +on: + workflow_dispatch: # allows manual triggering + push: + branches: + - master + paths: [ + '.github/workflows/build-apple.yml', + '**/CMakeLists.txt', + '**/.cmake', + '**/*.h', + '**/*.hpp', + '**/*.c', + '**/*.cpp', + '**/*.swift', + '**/*.m', + '**/*.metal' + ] + + pull_request: + types: [opened, synchronize, reopened] + paths: [ + '.github/workflows/build-apple.yml', + 'ggml/src/ggml-metal/**' + ] + +concurrency: + group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} + cancel-in-progress: true + +env: + GGML_NLOOP: 3 + GGML_N_THREADS: 1 + LLAMA_LOG_COLORS: 1 + LLAMA_LOG_PREFIX: 1 + LLAMA_LOG_TIMESTAMPS: 1 + +jobs: + macOS-latest-ios: + runs-on: macos-latest + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: ccache + uses: ggml-org/ccache-action@v1.2.21 + with: + key: macOS-latest-ios + evict-old-files: 1d + save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} + + - name: Build + id: cmake_build + run: | + sysctl -a + cmake -B build -G Xcode \ + -DGGML_METAL_USE_BF16=ON \ + -DGGML_METAL_EMBED_LIBRARY=ON \ + -DLLAMA_BUILD_COMMON=OFF \ + -DLLAMA_BUILD_EXAMPLES=OFF \ + -DLLAMA_BUILD_TOOLS=OFF \ + -DLLAMA_BUILD_TESTS=OFF \ + -DLLAMA_BUILD_SERVER=OFF \ + -DCMAKE_SYSTEM_NAME=iOS \ + -DCMAKE_OSX_DEPLOYMENT_TARGET=14.0 \ + -DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml + cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO + + macos-latest-ios-xcode: + runs-on: macos-latest + + steps: + - name: Checkout code + uses: actions/checkout@v6 + + - name: Setup Xcode + uses: ggml-org/setup-xcode@v1 + with: + xcode-version: latest-stable + + - name: Build + id: cmake_build + run: | + sysctl -a + cmake -B build -G Xcode \ + -DGGML_METAL_USE_BF16=ON \ + -DGGML_METAL_EMBED_LIBRARY=ON \ + -DLLAMA_OPENSSL=OFF \ + -DLLAMA_BUILD_EXAMPLES=OFF \ + -DLLAMA_BUILD_TOOLS=OFF \ + -DLLAMA_BUILD_TESTS=OFF \ + -DLLAMA_BUILD_SERVER=OFF \ + -DCMAKE_SYSTEM_NAME=iOS \ + -DCMAKE_OSX_DEPLOYMENT_TARGET=14.0 \ + -DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml + cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO + + - name: xcodebuild for swift package + id: xcodebuild + run: | + ./build-xcframework.sh + + - name: Upload xcframework artifact + uses: actions/upload-artifact@v6 + with: + name: llama-xcframework + path: build-apple/llama.xcframework/ + retention-days: 1 + + - name: Build Xcode project + run: | + xcodebuild -downloadPlatform iOS + xcodebuild -project examples/llama.swiftui/llama.swiftui.xcodeproj -scheme llama.swiftui -sdk iphoneos CODE_SIGNING_REQUIRED=NO CODE_SIGN_IDENTITY= -destination 'generic/platform=iOS' FRAMEWORK_FOLDER_PATH=./build-ios build + + macOS-latest-tvos: + runs-on: macos-latest + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: ccache + uses: ggml-org/ccache-action@v1.2.21 + with: + key: macOS-latest-tvos + evict-old-files: 1d + save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} + + - name: Build + id: cmake_build + run: | + sysctl -a + cmake -B build -G Xcode \ + -DGGML_METAL_USE_BF16=ON \ + -DGGML_METAL_EMBED_LIBRARY=ON \ + -DLLAMA_BUILD_COMMON=OFF \ + -DLLAMA_BUILD_EXAMPLES=OFF \ + -DLLAMA_BUILD_TOOLS=OFF \ + -DLLAMA_BUILD_TESTS=OFF \ + -DLLAMA_BUILD_SERVER=OFF \ + -DCMAKE_SYSTEM_NAME=tvOS \ + -DCMAKE_OSX_DEPLOYMENT_TARGET=14.0 \ + -DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml + cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO + + macOS-latest-visionos: + runs-on: macos-latest + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: Build + id: cmake_build + run: | + sysctl -a + cmake -B build -G Xcode \ + -DGGML_METAL_USE_BF16=ON \ + -DGGML_METAL_EMBED_LIBRARY=ON \ + -DLLAMA_BUILD_COMMON=OFF \ + -DLLAMA_BUILD_EXAMPLES=OFF \ + -DLLAMA_BUILD_TOOLS=OFF \ + -DLLAMA_BUILD_TESTS=OFF \ + -DLLAMA_BUILD_SERVER=OFF \ + -DCMAKE_SYSTEM_NAME=visionOS \ + -DCMAKE_OSX_DEPLOYMENT_TARGET=1.0 \ + -DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml + cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO + + macOS-latest-swift: + runs-on: macos-latest + needs: macos-latest-ios-xcode + + strategy: + matrix: + destination: ['generic/platform=macOS', 'generic/platform=iOS', 'generic/platform=tvOS'] + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: ccache + uses: ggml-org/ccache-action@v1.2.21 + with: + key: macOS-latest-swift + evict-old-files: 1d + save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} + + - name: Download xcframework artifact + uses: actions/download-artifact@v7 + with: + name: llama-xcframework + path: build-apple/llama.xcframework/ + + - name: Build llama.cpp with CMake + id: cmake_build + run: | + sysctl -a + cmake -B build -G Xcode \ + -DGGML_METAL_USE_BF16=ON \ + -DGGML_METAL_EMBED_LIBRARY=ON \ + -DLLAMA_OPENSSL=OFF \ + -DLLAMA_BUILD_EXAMPLES=OFF \ + -DLLAMA_BUILD_TOOLS=OFF \ + -DLLAMA_BUILD_TESTS=OFF \ + -DLLAMA_BUILD_SERVER=OFF \ + -DCMAKE_OSX_ARCHITECTURES="arm64;x86_64" + cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) diff --git a/.github/workflows/build-cache.yml b/.github/workflows/build-cache.yml index 18a6515117..bc0a92c7fc 100644 --- a/.github/workflows/build-cache.yml +++ b/.github/workflows/build-cache.yml @@ -37,12 +37,39 @@ jobs: path: ./vulkan_sdk version: ${{ env.VULKAN_SDK_VERSION }} - ubuntu-24-spacemit-cache: + #ubuntu-24-spacemit-cache: + # runs-on: ubuntu-24.04 + + # env: + # # Make sure this is in sync with build-linux-cross.yml + # SPACEMIT_IME_TOOLCHAIN_VERSION: "1.1.2" + + # steps: + # - name: Clone + # id: checkout + # uses: actions/checkout@v6 + + # - name: Setup Cache + # uses: actions/cache@v5 + # id: cache-toolchain + # with: + # path: ./spacemit_toolchain + # key: spacemit-ime-toolchain-v${{ env.SPACEMIT_IME_TOOLCHAIN_VERSION }}-${{ runner.os }} + + # - name: Setup SpacemiT Toolchain + # if: steps.cache-toolchain.outputs.cache-hit != 'true' + # uses: ./.github/actions/linux-setup-spacemit + # with: + # path: ./spacemit_toolchain + # version: ${{ env.SPACEMIT_IME_TOOLCHAIN_VERSION }} + + ubuntu-24-openvino-cache: runs-on: ubuntu-24.04 env: - # Make sure this is in sync with build-linux-cross.yml - SPACEMIT_IME_TOOLCHAIN_VERSION: "1.1.2" + # Sync versions in build.yml, build-self-hosted.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile + OPENVINO_VERSION_MAJOR: "2026.0" + OPENVINO_VERSION_FULL: "2026.0.0.20965.c6d6a13a886" steps: - name: Clone @@ -51,17 +78,18 @@ jobs: - name: Setup Cache uses: actions/cache@v5 - id: cache-toolchain + id: cache-openvino with: - path: ./spacemit_toolchain - key: spacemit-ime-toolchain-v${{ env.SPACEMIT_IME_TOOLCHAIN_VERSION }}-${{ runner.os }} + path: ./openvino_toolkit + key: openvino-toolkit-v${{ env.OPENVINO_VERSION_FULL }}-${{ runner.os }} - - name: Setup SpacemiT Toolchain - if: steps.cache-toolchain.outputs.cache-hit != 'true' - uses: ./.github/actions/linux-setup-spacemit + - name: Setup OpenVINO Toolkit + if: steps.cache-openvino.outputs.cache-hit != 'true' + uses: ./.github/actions/linux-setup-openvino with: - path: ./spacemit_toolchain - version: ${{ env.SPACEMIT_IME_TOOLCHAIN_VERSION }} + path: ./openvino_toolkit + version_major: ${{ env.OPENVINO_VERSION_MAJOR }} + version_full: ${{ env.OPENVINO_VERSION_FULL }} windows-2022-rocm-cache: runs-on: windows-2022 diff --git a/.github/workflows/build-cann.yml b/.github/workflows/build-cann.yml new file mode 100644 index 0000000000..de641ca148 --- /dev/null +++ b/.github/workflows/build-cann.yml @@ -0,0 +1,102 @@ +name: CI (cann) + +on: + workflow_dispatch: # allows manual triggering + push: + branches: + - master + paths: [ + '.github/workflows/build-cann.yml', + '**/CMakeLists.txt', + '**/.cmake', + '**/*.h', + '**/*.hpp', + '**/*.c', + '**/*.cpp' + ] + + pull_request: + types: [opened, synchronize, reopened] + paths: [ + '.github/workflows/build-cann.yml', + 'ggml/src/ggml-cann/**' + ] + +concurrency: + group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} + cancel-in-progress: true + +env: + GGML_NLOOP: 3 + GGML_N_THREADS: 1 + LLAMA_LOG_COLORS: 1 + LLAMA_LOG_PREFIX: 1 + LLAMA_LOG_TIMESTAMPS: 1 + +jobs: + openEuler-latest-cann: + defaults: + run: + shell: bash -el {0} + strategy: + matrix: + arch: [x86, aarch64] + chip_type: ['910b', '310p'] + build: ['Release'] + use_acl_graph: ['on', 'off'] + exclude: + # 310P does not support USE_ACL_GRAPH=on + - chip_type: '310p' + use_acl_graph: 'on' + runs-on: ${{ matrix.arch == 'aarch64' && 'ubuntu-24.04-arm' || 'ubuntu-24.04' }} + steps: + - name: Checkout + uses: actions/checkout@v6 + with: + fetch-depth: 0 + + - name: Free up disk space + uses: ggml-org/free-disk-space@v1.3.1 + with: + tool-cache: true + + - name: Set container image + id: cann-image + run: | + image="ascendai/cann:${{ matrix.chip_type == '910b' && '8.3.rc2-910b-openeuler24.03-py3.11' || '8.3.rc2-310p-openeuler24.03-py3.11' }}" + echo "image=${image}" >> "${GITHUB_OUTPUT}" + + - name: Pull container image + run: docker pull "${{ steps.cann-image.outputs.image }}" + + - name: Build + env: + BUILD_TYPE: ${{ matrix.build }} + SOC_TYPE: ascend${{ matrix.chip_type }} + USE_ACL_GRAPH: ${{ matrix.use_acl_graph }} + run: | + HOST_UID=$(id -u) + HOST_GID=$(id -g) + + docker run --rm \ + -v "${PWD}:/workspace" \ + -w /workspace \ + -e SOC_TYPE=${SOC_TYPE} \ + -e BUILD_TYPE=${BUILD_TYPE} \ + -e USE_ACL_GRAPH=${USE_ACL_GRAPH} \ + "${{ steps.cann-image.outputs.image }}" \ + bash -lc ' + set -e + yum install -y --setopt=install_weak_deps=False --setopt=tsflags=nodocs git gcc gcc-c++ make cmake openssl-devel + yum clean all && rm -rf /var/cache/yum + git config --global --add safe.directory "/workspace" + export LD_LIBRARY_PATH=${ASCEND_TOOLKIT_HOME}/lib64:${ASCEND_TOOLKIT_HOME}/$(uname -m)-linux/devlib/:${LD_LIBRARY_PATH} + cmake -S . -B build \ + -DCMAKE_BUILD_TYPE=${BUILD_TYPE} \ + -DGGML_CANN=on \ + -DSOC_TYPE=${SOC_TYPE} \ + -DUSE_ACL_GRAPH=${USE_ACL_GRAPH} + cmake --build build -j $(nproc) + + chown -R '"${HOST_UID}"':'"${HOST_GID}"' /workspace/build + ' diff --git a/.github/workflows/build-cmake-pkg.yml b/.github/workflows/build-cmake-pkg.yml index 259efa43c8..84cf8ddf48 100644 --- a/.github/workflows/build-cmake-pkg.yml +++ b/.github/workflows/build-cmake-pkg.yml @@ -5,7 +5,7 @@ on: jobs: linux: - runs-on: ubuntu-24.04 + runs-on: ubuntu-slim steps: - uses: actions/checkout@v6 with: @@ -14,7 +14,7 @@ jobs: - name: Install dependencies run: | sudo apt update - sudo apt install -y build-essential tcl + sudo apt install -y build-essential tcl cmake - name: Build run: | diff --git a/.github/workflows/build-linux-cross.yml b/.github/workflows/build-cross.yml similarity index 93% rename from .github/workflows/build-linux-cross.yml rename to .github/workflows/build-cross.yml index 8b6ebaf4a3..74508129ac 100644 --- a/.github/workflows/build-linux-cross.yml +++ b/.github/workflows/build-cross.yml @@ -1,7 +1,24 @@ -name: Build on Linux using cross-compiler +name: CI (cross) on: + # only manual triggers due to low-importance of the workflows + # TODO: for regular runs, provision dedicated self-hosted runners workflow_dispatch: - workflow_call: + push: + branches: + - master + paths: [ + '.github/workflows/build-cross.yml', + 'ggml/src/spacemit/*', + 'ggml/src/arch/loongarch/*' + ] + # run once every week + schedule: + - cron: '0 0 * * 0' + +concurrency: + group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} + cancel-in-progress: true + jobs: # ubuntu-24-riscv64-cpu-cross: @@ -142,7 +159,7 @@ jobs: # cmake --build build --config Release -j $(nproc) debian-13-loongarch64-cpu-cross: - runs-on: ubuntu-24.04 + runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }} container: debian@sha256:653dfb9f86c3782e8369d5f7d29bb8faba1f4bff9025db46e807fa4c22903671 steps: @@ -197,7 +214,7 @@ jobs: cmake --build build --config Release -j $(nproc) debian-13-loongarch64-vulkan-cross: - runs-on: ubuntu-24.04 + runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }} container: debian@sha256:653dfb9f86c3782e8369d5f7d29bb8faba1f4bff9025db46e807fa4c22903671 steps: @@ -264,15 +281,15 @@ jobs: steps: - uses: actions/checkout@v6 - - name: Use SpacemiT Toolchain Cache - uses: actions/cache@v5 - id: cache-toolchain - with: - path: ./spacemit_toolchain - key: spacemit-ime-toolchain-v${{ env.SPACEMIT_IME_TOOLCHAIN_VERSION }}-${{ runner.os }} + #- name: Use SpacemiT Toolchain Cache + # uses: actions/cache@v5 + # id: cache-toolchain + # with: + # path: ./spacemit_toolchain + # key: spacemit-ime-toolchain-v${{ env.SPACEMIT_IME_TOOLCHAIN_VERSION }}-${{ runner.os }} - name: Setup SpacemiT Toolchain - if: steps.cache-toolchain.outputs.cache-hit != 'true' + #if: steps.cache-toolchain.outputs.cache-hit != 'true' uses: ./.github/actions/linux-setup-spacemit with: path: ./spacemit_toolchain diff --git a/.github/workflows/build-msys.yml b/.github/workflows/build-msys.yml new file mode 100644 index 0000000000..431d9b6a53 --- /dev/null +++ b/.github/workflows/build-msys.yml @@ -0,0 +1,72 @@ +name: CI (msys) + +on: + # only manual triggers due to low-importance of the workflows + # TODO: for regular runs, provision dedicated self-hosted runners + workflow_dispatch: + # run once every week + schedule: + - cron: '0 0 * * 0' + +concurrency: + group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} + cancel-in-progress: true + +env: + GGML_NLOOP: 3 + GGML_N_THREADS: 1 + LLAMA_LOG_COLORS: 1 + LLAMA_LOG_PREFIX: 1 + LLAMA_LOG_TIMESTAMPS: 1 + +jobs: + windows-msys2: + runs-on: windows-2025 + + strategy: + fail-fast: false + matrix: + include: + - { sys: UCRT64, env: ucrt-x86_64, build: Release } + - { sys: CLANG64, env: clang-x86_64, build: Release } + + steps: + - name: Clone + uses: actions/checkout@v6 + + #- name: ccache + # uses: ggml-org/ccache-action@v1.2.16 + # with: + # key: windows-msys2 + # variant: ccache + # evict-old-files: 1d + # save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} + + - name: Setup ${{ matrix.sys }} + uses: msys2/setup-msys2@v2 + with: + update: true + msystem: ${{matrix.sys}} + install: >- + base-devel + git + mingw-w64-${{matrix.env}}-toolchain + mingw-w64-${{matrix.env}}-cmake + mingw-w64-${{matrix.env}}-openblas + + - name: Build using CMake + shell: msys2 {0} + run: | + cmake -B build + cmake --build build --config ${{ matrix.build }} -j $(nproc) + + - name: Clean after building using CMake + shell: msys2 {0} + run: | + rm -rf build + + - name: Build using CMake w/ OpenBLAS + shell: msys2 {0} + run: | + cmake -B build -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS + cmake --build build --config ${{ matrix.build }} -j $(nproc) diff --git a/.github/workflows/build-riscv.yml b/.github/workflows/build-riscv.yml new file mode 100644 index 0000000000..36a3a1155a --- /dev/null +++ b/.github/workflows/build-riscv.yml @@ -0,0 +1,136 @@ +name: CI (riscv) + +on: + workflow_dispatch: # allows manual triggering + push: + branches: + - master + paths: [ + '.github/workflows/build-riscv.yml', + '**/CMakeLists.txt', + '**/.cmake', + '**/*.h', + '**/*.hpp', + '**/*.c', + '**/*.cpp' + ] + + pull_request: + types: [opened, synchronize, reopened] + paths: [ + '.github/workflows/build-riscv.yml', + 'ggml/src/ggml-cpu/arch/riscv/**' + ] + +concurrency: + group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} + cancel-in-progress: true + +env: + GGML_NLOOP: 3 + GGML_N_THREADS: 1 + LLAMA_LOG_COLORS: 1 + LLAMA_LOG_PREFIX: 1 + LLAMA_LOG_TIMESTAMPS: 1 + +jobs: + ubuntu-riscv64-native-sanitizer: + runs-on: RISCV64 + + continue-on-error: true + + strategy: + matrix: + sanitizer: [ADDRESS, THREAD, UNDEFINED] + build_type: [Debug] + + steps: + - name: Install dependencies + run: | + sudo apt-get update + + # Install necessary packages + sudo apt-get install -y libatomic1 libtsan2 gcc-14 g++-14 rustup cmake build-essential wget ccache git-lfs + + # Set gcc-14 and g++-14 as the default compilers + sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-14 100 + sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-14 100 + sudo ln -sf /usr/bin/gcc-14 /usr/bin/gcc + sudo ln -sf /usr/bin/g++-14 /usr/bin/g++ + + # Install Rust stable version + rustup install stable + rustup default stable + + git lfs install + + - name: GCC version check + run: | + gcc --version + g++ --version + + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: Setup ccache + run: | + # Unique cache directory per matrix combination + export CCACHE_DIR="$HOME/.ccache/sanitizer-${{ matrix.sanitizer }}-${{ matrix.build_type }}" + mkdir -p "$CCACHE_DIR" + + # Configure ccache + ccache --set-config=max_size=5G + ccache --set-config=compression=true + ccache --set-config=compression_level=6 + ccache --set-config=cache_dir="$CCACHE_DIR" + ccache --set-config=sloppiness=file_macro,time_macros,include_file_mtime,include_file_ctime + ccache --set-config=hash_dir=false + + # Export for subsequent steps + echo "CCACHE_DIR=$CCACHE_DIR" >> $GITHUB_ENV + echo "PATH=/usr/lib/ccache:$PATH" >> $GITHUB_ENV + + - name: Build + id: cmake_build + if: ${{ matrix.sanitizer != 'THREAD' }} + run: | + cmake -B build \ + -DLLAMA_OPENSSL=OFF \ + -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} \ + -DGGML_OPENMP=ON \ + -DLLAMA_BUILD_EXAMPLES=ON \ + -DLLAMA_BUILD_TOOLS=ON \ + -DLLAMA_BUILD_TESTS=OFF \ + -DCMAKE_C_COMPILER_LAUNCHER=ccache \ + -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \ + -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \ + -DCMAKE_C_COMPILER=riscv64-linux-gnu-gcc-14 \ + -DCMAKE_CXX_COMPILER=riscv64-linux-gnu-g++-14 + + cmake --build build --config ${{ matrix.build_type }} -j $(nproc) + + - name: Build (no OpenMP) + id: cmake_build_no_openmp + if: ${{ matrix.sanitizer == 'THREAD' }} + run: | + cmake -B build \ + -DLLAMA_OPENSSL=OFF \ + -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} \ + -DGGML_OPENMP=OFF \ + -DLLAMA_BUILD_EXAMPLES=ON \ + -DLLAMA_BUILD_TOOLS=ON \ + -DLLAMA_BUILD_TESTS=OFF \ + -DCMAKE_C_COMPILER_LAUNCHER=ccache \ + -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \ + -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \ + -DCMAKE_C_COMPILER=riscv64-linux-gnu-gcc-14 \ + -DCMAKE_CXX_COMPILER=riscv64-linux-gnu-g++-14 + + cmake --build build --config ${{ matrix.build_type }} -j $(nproc) + + - name: Test + id: cmake_test + run: | + cd build + ctest -L main --verbose --timeout 900 diff --git a/.github/workflows/build-sanitize.yml b/.github/workflows/build-sanitize.yml new file mode 100644 index 0000000000..c7b73d1dd0 --- /dev/null +++ b/.github/workflows/build-sanitize.yml @@ -0,0 +1,87 @@ +name: CI (sanitize) + +on: + workflow_dispatch: # allows manual triggering + push: + branches: + - master + paths: [ + '.github/workflows/build-sanitize.yml', + '**/CMakeLists.txt', + '**/.cmake', + '**/*.h', + '**/*.hpp', + '**/*.c', + '**/*.cpp' + ] + +concurrency: + group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} + cancel-in-progress: true + +env: + GGML_NLOOP: 3 + GGML_N_THREADS: 1 + LLAMA_LOG_COLORS: 1 + LLAMA_LOG_PREFIX: 1 + LLAMA_LOG_TIMESTAMPS: 1 + +jobs: + ubuntu-latest-sanitizer: + runs-on: ubuntu-latest + + continue-on-error: true + + strategy: + matrix: + sanitizer: [ADDRESS, THREAD, UNDEFINED] + build_type: [Debug] + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: ccache + uses: ggml-org/ccache-action@v1.2.21 + with: + key: ubuntu-latest-sanitizer-${{ matrix.sanitizer }} + evict-old-files: 1d + save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} + + - name: Dependencies + id: depends + run: | + sudo apt-get update + sudo apt-get install build-essential libssl-dev + + - name: Build + id: cmake_build + if: ${{ matrix.sanitizer != 'THREAD' }} + run: | + cmake -B build \ + -DLLAMA_FATAL_WARNINGS=ON \ + -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \ + -DGGML_SANITIZE_${{ matrix.sanitizer }}=ON \ + -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} + + cmake --build build --config ${{ matrix.build_type }} -j $(nproc) + + - name: Build (no OpenMP) + id: cmake_build_no_openmp + if: ${{ matrix.sanitizer == 'THREAD' }} + run: | + cmake -B build \ + -DLLAMA_FATAL_WARNINGS=ON \ + -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \ + -DGGML_SANITIZE_${{ matrix.sanitizer }}=ON \ + -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} \ + -DGGML_OPENMP=OFF + + cmake --build build --config ${{ matrix.build_type }} -j $(nproc) + + - name: Test + id: cmake_test + run: | + cd build + ctest -L main --verbose --timeout 900 diff --git a/.github/workflows/build-self-hosted.yml b/.github/workflows/build-self-hosted.yml new file mode 100644 index 0000000000..2944cb8401 --- /dev/null +++ b/.github/workflows/build-self-hosted.yml @@ -0,0 +1,245 @@ +name: CI (self-hosted) + +on: + workflow_dispatch: # allows manual triggering + push: + branches: + - master + paths: [ + '.github/workflows/build.yml', + '**/CMakeLists.txt', + '**/.cmake', + '**/*.h', + '**/*.hpp', + '**/*.c', + '**/*.cpp', + '**/*.cu', + '**/*.cuh', + '**/*.swift', + '**/*.m', + '**/*.metal', + '**/*.comp', + '**/*.glsl', + '**/*.wgsl' + ] + + pull_request: + types: [opened, synchronize, reopened] + paths: [ + '.github/workflows/build-self-hosted.yml', + '**/CMakeLists.txt', + '**/.cmake', + '**/*.h', + '**/*.hpp', + '**/*.c', + '**/*.cpp', + '**/*.cu', + '**/*.cuh', + '**/*.swift', + '**/*.m', + '**/*.metal', + '**/*.comp', + '**/*.glsl', + '**/*.wgsl' + ] + +concurrency: + group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} + cancel-in-progress: true + +env: + GGML_NLOOP: 3 + GGML_N_THREADS: 1 + LLAMA_LOG_COLORS: 1 + LLAMA_LOG_PREFIX: 1 + LLAMA_LOG_TIMESTAMPS: 1 + +jobs: + ggml-ci-nvidia-cuda: + runs-on: [self-hosted, Linux, NVIDIA] + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: Test + id: ggml-ci + run: | + nvidia-smi + GG_BUILD_CUDA=1 bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp + + ggml-ci-nvidia-vulkan-cm: + runs-on: [self-hosted, Linux, NVIDIA] + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: Test + id: ggml-ci + run: | + vulkaninfo --summary + GG_BUILD_VULKAN=1 GGML_VK_DISABLE_COOPMAT2=1 bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp + + ggml-ci-nvidia-vulkan-cm2: + runs-on: [self-hosted, Linux, NVIDIA, COOPMAT2] + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: Test + id: ggml-ci + run: | + vulkaninfo --summary + GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp + + # TODO: provision AMX-compatible machine + #ggml-ci-cpu-amx: + # runs-on: [self-hosted, Linux, CPU, AMX] + + # steps: + # - name: Clone + # id: checkout + # uses: actions/checkout@v6 + + # - name: Test + # id: ggml-ci + # run: | + # bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp + + # TODO: provision AMD GPU machine + # ggml-ci-amd-vulkan: + # runs-on: [self-hosted, Linux, AMD] + + # steps: + # - name: Clone + # id: checkout + # uses: actions/checkout@v6 + + # - name: Test + # id: ggml-ci + # run: | + # vulkaninfo --summary + # GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp + + # TODO: provision AMD GPU machine + # ggml-ci-amd-rocm: + # runs-on: [self-hosted, Linux, AMD] + + # steps: + # - name: Clone + # id: checkout + # uses: actions/checkout@v6 + + # - name: Test + # id: ggml-ci + # run: | + # amd-smi static + # GG_BUILD_ROCM=1 GG_BUILD_AMDGPU_TARGETS="gfx1101" bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp + + ggml-ci-mac-metal: + runs-on: [self-hosted, macOS, ARM64] + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: Test + id: ggml-ci + run: | + GG_BUILD_METAL=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp + + ggml-ci-mac-webgpu: + runs-on: [self-hosted, macOS, ARM64] + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: Dawn Dependency + id: dawn-depends + run: | + DAWN_VERSION="v2.0.0" + DAWN_OWNER="reeselevine" + DAWN_REPO="dawn" + DAWN_ASSET_NAME="Dawn-5e9a4865b1635796ccc77dd30057f2b4002a1355-macos-latest-Release" + echo "Fetching release asset from https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.zip" + curl -L -o artifact.zip \ + "https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.zip" + mkdir dawn + unzip artifact.zip + tar -xvf ${DAWN_ASSET_NAME}.tar.gz -C dawn --strip-components=1 + + - name: Test + id: ggml-ci + run: | + GG_BUILD_WEBGPU=1 GG_BUILD_WEBGPU_DAWN_PREFIX="$GITHUB_WORKSPACE/dawn" \ + bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp + + ggml-ci-mac-vulkan: + runs-on: [self-hosted, macOS, ARM64] + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: Test + id: ggml-ci + run: | + vulkaninfo --summary + GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp + + ggml-ci-linux-intel-vulkan: + runs-on: [self-hosted, Linux, Intel] + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + with: + persist-credentials: false + + - name: Test + id: ggml-ci + run: | + vulkaninfo --summary + GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp + + ggml-ci-intel-openvino-gpu-low-perf: + runs-on: [self-hosted, Linux, Intel, OpenVINO] + + env: + # Sync versions in build.yml, build-self-hosted.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile + OPENVINO_VERSION_MAJOR: "2026.0" + OPENVINO_VERSION_FULL: "2026.0.0.20965.c6d6a13a886" + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: Setup OpenVINO Toolkit + uses: ./.github/actions/linux-setup-openvino + with: + path: ./openvino_toolkit + version_major: ${{ env.OPENVINO_VERSION_MAJOR }} + version_full: ${{ env.OPENVINO_VERSION_FULL }} + + - name: Install OpenVINO dependencies + run: | + cd ./openvino_toolkit + chmod +x ./install_dependencies/install_openvino_dependencies.sh + echo "Y" | sudo -E ./install_dependencies/install_openvino_dependencies.sh + + - name: Test + id: ggml-ci + run: | + source ./openvino_toolkit/setupvars.sh + GG_BUILD_OPENVINO=1 GGML_OPENVINO_DEVICE=GPU GG_BUILD_LOW_PERF=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt diff --git a/.github/workflows/build-vulkan.yml b/.github/workflows/build-vulkan.yml new file mode 100644 index 0000000000..dba240a37e --- /dev/null +++ b/.github/workflows/build-vulkan.yml @@ -0,0 +1,96 @@ +name: CI (vulkan) + +on: + workflow_dispatch: # allows manual triggering + push: + branches: + - master + paths: [ + '.github/workflows/build-vulkan.yml', + '**/CMakeLists.txt', + '**/.cmake', + '**/*.h', + '**/*.hpp', + '**/*.c', + '**/*.cpp', + '**/*.comp', + '**/*.glsl' + ] + + pull_request: + types: [opened, synchronize, reopened] + paths: [ + '.github/workflows/build-vulkan.yml', + 'ggml/src/ggml-vulkan/**' + ] + +concurrency: + group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} + cancel-in-progress: true + +env: + GGML_NLOOP: 3 + GGML_N_THREADS: 1 + LLAMA_LOG_COLORS: 1 + LLAMA_LOG_PREFIX: 1 + LLAMA_LOG_TIMESTAMPS: 1 + +jobs: + ubuntu-24-vulkan-llvmpipe: + runs-on: ubuntu-24.04 + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: ccache + uses: ggml-org/ccache-action@v1.2.21 + with: + key: ubuntu-24-vulkan-llvmpipe + evict-old-files: 1d + save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} + + - name: Dependencies + id: depends + run: | + sudo add-apt-repository -y ppa:kisak/kisak-mesa + sudo apt-get update -y + sudo apt-get install -y build-essential mesa-vulkan-drivers libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libssl-dev + + - name: Get latest Vulkan SDK version + id: vulkan_sdk_version + run: | + echo "VULKAN_SDK_VERSION=$(curl https://vulkan.lunarg.com/sdk/latest/linux.txt)" >> "$GITHUB_ENV" + + - name: Use Vulkan SDK Cache + uses: actions/cache@v5 + id: cache-sdk + with: + path: ./vulkan_sdk + key: vulkan-sdk-${{ env.VULKAN_SDK_VERSION }}-${{ runner.os }} + + - name: Setup Vulkan SDK + if: steps.cache-sdk.outputs.cache-hit != 'true' + uses: ./.github/actions/linux-setup-vulkan-llvmpipe + with: + path: ./vulkan_sdk + version: ${{ env.VULKAN_SDK_VERSION }} + + - name: Build + id: cmake_build + run: | + source ./vulkan_sdk/setup-env.sh + cmake -B build \ + -DGGML_VULKAN=ON + cmake --build build --config Release -j $(nproc) + + - name: Test + id: cmake_test + run: | + cd build + export GGML_VK_VISIBLE_DEVICES=0 + export GGML_VK_DISABLE_F16=1 + export GGML_VK_DISABLE_COOPMAT=1 + # This is using llvmpipe and runs slower than other backends + ctest -L main --verbose --timeout 4800 diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 30365a3613..6d500d3098 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -7,7 +7,6 @@ on: - master paths: [ '.github/workflows/build.yml', - '.github/workflows/build-linux-cross.yml', '.github/workflows/build-cmake-pkg.yml', '**/CMakeLists.txt', '**/.cmake', @@ -29,7 +28,6 @@ on: types: [opened, synchronize, reopened] paths: [ '.github/workflows/build.yml', - '.github/workflows/build-linux-cross.yml', '.github/workflows/build-cmake-pkg.yml', '**/CMakeLists.txt', '**/.cmake', @@ -59,7 +57,10 @@ env: LLAMA_LOG_TIMESTAMPS: 1 jobs: - macOS-latest-cmake-arm64: + build-cmake-pkg: + uses: ./.github/workflows/build-cmake-pkg.yml + + macOS-latest-arm64: runs-on: macos-latest steps: @@ -68,9 +69,9 @@ jobs: uses: actions/checkout@v6 - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: macOS-latest-cmake-arm64 + key: macOS-latest-arm64 evict-old-files: 1d save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} @@ -93,9 +94,9 @@ jobs: id: cmake_test run: | cd build - ctest -L main --verbose --timeout 900 + ctest -L main -E "test-llama-archs" --verbose --timeout 900 - macOS-latest-cmake-x64: + macOS-latest-x64: runs-on: macos-15-intel steps: @@ -104,9 +105,9 @@ jobs: uses: actions/checkout@v6 - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: macOS-latest-cmake-x64 + key: macOS-latest-x64 evict-old-files: 1d save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} @@ -131,7 +132,7 @@ jobs: cd build ctest -L main --verbose --timeout 900 - macOS-latest-cmake-arm64-webgpu: + macOS-latest-arm64-webgpu: runs-on: macos-latest steps: @@ -140,9 +141,9 @@ jobs: uses: actions/checkout@v6 - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: macOS-latest-cmake-arm64-webgpu + key: macOS-latest-arm64-webgpu evict-old-files: 1d save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} @@ -173,7 +174,7 @@ jobs: cd build ctest -L main --verbose --timeout 900 - ubuntu-cpu-cmake: + ubuntu-cpu: strategy: matrix: include: @@ -194,9 +195,10 @@ jobs: uses: actions/checkout@v6 - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + if: ${{ matrix.build != 's390x' && matrix.build != 'ppc64le' }} + uses: ggml-org/ccache-action@v1.2.21 with: - key: ubuntu-cpu-cmake-${{ matrix.build }} + key: ubuntu-cpu-${{ matrix.build }} evict-old-files: 1d save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} @@ -258,94 +260,7 @@ jobs: wget https://huggingface.co/ggml-org/models/resolve/main/tinyllamas/stories260K-be.gguf ./bin/llama-completion -m stories260K-be.gguf -p "One day, Lily met a Shoggoth" -n 500 -c 256 - ubuntu-latest-cmake-sanitizer: - runs-on: ubuntu-latest - - continue-on-error: true - - strategy: - matrix: - sanitizer: [ADDRESS, THREAD, UNDEFINED] - build_type: [Debug] - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 - - - name: ccache - uses: ggml-org/ccache-action@v1.2.16 - with: - key: ubuntu-latest-cmake-sanitizer-${{ matrix.sanitizer }} - evict-old-files: 1d - save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} - - - name: Dependencies - id: depends - run: | - sudo apt-get update - sudo apt-get install build-essential libssl-dev - - - name: Build - id: cmake_build - if: ${{ matrix.sanitizer != 'THREAD' }} - run: | - cmake -B build \ - -DLLAMA_FATAL_WARNINGS=ON \ - -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \ - -DGGML_SANITIZE_${{ matrix.sanitizer }}=ON \ - -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} - - cmake --build build --config ${{ matrix.build_type }} -j $(nproc) - - - name: Build (no OpenMP) - id: cmake_build_no_openmp - if: ${{ matrix.sanitizer == 'THREAD' }} - run: | - cmake -B build \ - -DLLAMA_FATAL_WARNINGS=ON \ - -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \ - -DGGML_SANITIZE_${{ matrix.sanitizer }}=ON \ - -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} \ - -DGGML_OPENMP=OFF - - cmake --build build --config ${{ matrix.build_type }} -j $(nproc) - - - name: Test - id: cmake_test - run: | - cd build - ctest -L main --verbose --timeout 900 - - ubuntu-latest-llguidance: - runs-on: ubuntu-latest - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 - - - name: Dependencies - id: depends - run: | - sudo apt-get update - sudo apt-get install build-essential libssl-dev - - - name: Build - id: cmake_build - run: | - cmake -B build \ - -DLLAMA_FATAL_WARNINGS=ON \ - -DLLAMA_LLGUIDANCE=ON - cmake --build build --config Release -j $(nproc) - - - name: Test - id: cmake_test - run: | - cd build - ctest -L main --verbose --timeout 900 - - ubuntu-latest-cmake-rpc: + ubuntu-latest-rpc: runs-on: ubuntu-latest continue-on-error: true @@ -355,12 +270,6 @@ jobs: id: checkout uses: actions/checkout@v6 - # - name: ccache - # uses: ggml-org/ccache-action@v1.2.16 - # with: - # key: ubuntu-latest-cmake-rpc - # evict-old-files: 1d - - name: Dependencies id: depends run: | @@ -380,21 +289,14 @@ jobs: cd build ctest -L main --verbose - ubuntu-24-cmake-vulkan-deb: - runs-on: ubuntu-24.04 + ubuntu-24-vulkan: + runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }} steps: - name: Clone id: checkout uses: actions/checkout@v6 - - name: ccache - uses: ggml-org/ccache-action@v1.2.16 - with: - key: ubuntu-24-cmake-vulkan-deb - evict-old-files: 1d - save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} - - name: Dependencies id: depends run: | @@ -414,7 +316,7 @@ jobs: run: | cmake --build build -j $(nproc) - ubuntu-24-cmake-vulkan: + ubuntu-24-webgpu: runs-on: ubuntu-24.04 steps: @@ -423,67 +325,9 @@ jobs: uses: actions/checkout@v6 - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: ubuntu-24-cmake-vulkan - evict-old-files: 1d - save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} - - - name: Dependencies - id: depends - run: | - sudo add-apt-repository -y ppa:kisak/kisak-mesa - sudo apt-get update -y - sudo apt-get install -y build-essential mesa-vulkan-drivers libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libssl-dev - - - name: Get latest Vulkan SDK version - id: vulkan_sdk_version - run: | - echo "VULKAN_SDK_VERSION=$(curl https://vulkan.lunarg.com/sdk/latest/linux.txt)" >> "$GITHUB_ENV" - - - name: Use Vulkan SDK Cache - uses: actions/cache@v5 - id: cache-sdk - with: - path: ./vulkan_sdk - key: vulkan-sdk-${{ env.VULKAN_SDK_VERSION }}-${{ runner.os }} - - - name: Setup Vulkan SDK - if: steps.cache-sdk.outputs.cache-hit != 'true' - uses: ./.github/actions/linux-setup-vulkan - with: - path: ./vulkan_sdk - version: ${{ env.VULKAN_SDK_VERSION }} - - - name: Build - id: cmake_build - run: | - source ./vulkan_sdk/setup-env.sh - cmake -B build \ - -DGGML_VULKAN=ON - cmake --build build --config Release -j $(nproc) - - - name: Test - id: cmake_test - run: | - cd build - export GGML_VK_VISIBLE_DEVICES=0 - export GGML_VK_DISABLE_F16=1 - # This is using llvmpipe and runs slower than other backends - ctest -L main --verbose --timeout 4800 - - ubuntu-24-cmake-webgpu: - runs-on: ubuntu-24.04 - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 - - - name: ccache - uses: ggml-org/ccache-action@v1.2.16 - with: - key: ubuntu-24-cmake-webgpu + key: ubuntu-24-webgpu evict-old-files: 1d save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} @@ -541,23 +385,16 @@ jobs: run: | cd build # This is using llvmpipe and runs slower than other backends - ctest -L main --verbose --timeout 3600 + ctest -L main --verbose --timeout 900 - ubuntu-24-wasm-webgpu: - runs-on: ubuntu-24.04 + ubuntu-24-webgpu-wasm: + runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }} steps: - name: Clone id: checkout uses: actions/checkout@v6 - - name: ccache - uses: ggml-org/ccache-action@v1.2.16 - with: - key: ubuntu-latest-wasm-webgpu - evict-old-files: 1d - save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} - - name: Install Emscripten run: | git clone https://github.com/emscripten-core/emsdk.git @@ -584,7 +421,7 @@ jobs: cmake --build build-wasm --target test-backend-ops -j $(nproc) - ubuntu-22-cmake-hip: + ubuntu-22-hip: runs-on: ubuntu-22.04 container: rocm/dev-ubuntu-22.04:6.1.2 @@ -600,9 +437,9 @@ jobs: sudo apt-get install -y build-essential git cmake rocblas-dev hipblas-dev libssl-dev rocwmma-dev - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: ubuntu-22-cmake-hip + key: ubuntu-22-hip evict-old-files: 1d save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} @@ -615,7 +452,7 @@ jobs: -DGGML_HIP=ON cmake --build build --config Release -j $(nproc) - ubuntu-22-cmake-musa: + ubuntu-22-musa: runs-on: ubuntu-22.04 container: mthreads/musa:rc4.3.0-devel-ubuntu22.04-amd64 @@ -631,9 +468,9 @@ jobs: apt-get install -y build-essential git cmake libssl-dev - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: ubuntu-22-cmake-musa + key: ubuntu-22-musa evict-old-files: 1d save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} @@ -644,7 +481,7 @@ jobs: -DGGML_MUSA=ON cmake --build build --config Release -j $(nproc) - ubuntu-22-cmake-sycl: + ubuntu-22-sycl: runs-on: ubuntu-22.04 continue-on-error: true @@ -677,9 +514,9 @@ jobs: uses: actions/checkout@v6 - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: ubuntu-22-cmake-sycl + key: ubuntu-22-sycl evict-old-files: 1d save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} @@ -693,7 +530,7 @@ jobs: -DCMAKE_CXX_COMPILER=icpx cmake --build build --config Release -j $(nproc) - ubuntu-22-cmake-sycl-fp16: + ubuntu-22-sycl-fp16: runs-on: ubuntu-22.04 continue-on-error: true @@ -726,9 +563,9 @@ jobs: uses: actions/checkout@v6 - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: ubuntu-22-cmake-sycl-fp16 + key: ubuntu-22-sycl-fp16 evict-old-files: 1d save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} @@ -743,194 +580,87 @@ jobs: -DGGML_SYCL_F16=ON cmake --build build --config Release -j $(nproc) - build-linux-cross: - uses: ./.github/workflows/build-linux-cross.yml + ubuntu-24-openvino: + name: ubuntu-24-openvino-${{ matrix.openvino_device }} + strategy: + matrix: + include: + - variant: cpu + runner: '"ubuntu-24.04"' + openvino_device: "CPU" + - variant: gpu + runner: '["self-hosted","Linux","X64","Intel"]' + openvino_device: "GPU" - build-cmake-pkg: - uses: ./.github/workflows/build-cmake-pkg.yml + runs-on: ${{ fromJSON(matrix.runner) }} - macOS-latest-cmake-ios: - runs-on: macos-latest + env: + # Sync versions in build.yml, build-self-hosted.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile + OPENVINO_VERSION_MAJOR: "2026.0" + OPENVINO_VERSION_FULL: "2026.0.0.20965.c6d6a13a886" - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 - - name: ccache - uses: ggml-org/ccache-action@v1.2.16 - with: - key: macOS-latest-cmake-ios - evict-old-files: 1d - save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} + - name: ccache + if: runner.environment == 'github-hosted' + uses: ggml-org/ccache-action@v1.2.21 + with: + key: ubuntu-24-openvino-${{ matrix.variant }}-no-preset-v1 + evict-old-files: 1d + save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} - - name: Build - id: cmake_build - run: | - sysctl -a - cmake -B build -G Xcode \ - -DGGML_METAL_USE_BF16=ON \ - -DGGML_METAL_EMBED_LIBRARY=ON \ - -DLLAMA_BUILD_COMMON=OFF \ - -DLLAMA_BUILD_EXAMPLES=OFF \ - -DLLAMA_BUILD_TOOLS=OFF \ - -DLLAMA_BUILD_TESTS=OFF \ - -DLLAMA_BUILD_SERVER=OFF \ - -DCMAKE_SYSTEM_NAME=iOS \ - -DCMAKE_OSX_DEPLOYMENT_TARGET=14.0 \ - -DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml - cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO + - name: Dependencies + id: depends + run: | + sudo apt-get update + sudo apt-get install -y build-essential libssl-dev libtbb12 cmake ninja-build python3-pip + sudo apt-get install -y ocl-icd-opencl-dev opencl-headers opencl-clhpp-headers intel-opencl-icd - macOS-latest-cmake-tvos: - runs-on: macos-latest + - name: Use OpenVINO Toolkit Cache + if: runner.environment == 'github-hosted' + uses: actions/cache@v5 + id: cache-openvino + with: + path: ./openvino_toolkit + key: openvino-toolkit-v${{ env.OPENVINO_VERSION_FULL }}-${{ runner.os }} - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 + - name: Setup OpenVINO Toolkit + if: steps.cache-openvino.outputs.cache-hit != 'true' + uses: ./.github/actions/linux-setup-openvino + with: + path: ./openvino_toolkit + version_major: ${{ env.OPENVINO_VERSION_MAJOR }} + version_full: ${{ env.OPENVINO_VERSION_FULL }} - - name: ccache - uses: ggml-org/ccache-action@v1.2.16 - with: - key: macOS-latest-cmake-tvos - evict-old-files: 1d - save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} + - name: Install OpenVINO dependencies + run: | + cd ./openvino_toolkit + chmod +x ./install_dependencies/install_openvino_dependencies.sh + echo "Y" | sudo -E ./install_dependencies/install_openvino_dependencies.sh - - name: Build - id: cmake_build - run: | - sysctl -a - cmake -B build -G Xcode \ - -DGGML_METAL_USE_BF16=ON \ - -DGGML_METAL_EMBED_LIBRARY=ON \ - -DLLAMA_BUILD_COMMON=OFF \ - -DLLAMA_BUILD_EXAMPLES=OFF \ - -DLLAMA_BUILD_TOOLS=OFF \ - -DLLAMA_BUILD_TESTS=OFF \ - -DLLAMA_BUILD_SERVER=OFF \ - -DCMAKE_SYSTEM_NAME=tvOS \ - -DCMAKE_OSX_DEPLOYMENT_TARGET=14.0 \ - -DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml - cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO + - name: Build + id: cmake_build + run: | + source ./openvino_toolkit/setupvars.sh + cmake -B build/ReleaseOV -G Ninja \ + -DCMAKE_BUILD_TYPE=Release \ + -DGGML_OPENVINO=ON + cmake --build build/ReleaseOV --config Release -j $(nproc) - macOS-latest-cmake-visionos: - runs-on: macos-latest + - name: Test + id: cmake_test + # TODO: fix and re-enable the `test-llama-archs` test below + run: | + cd ${{ github.workspace }} + if [ "${{ matrix.openvino_device }}" = "GPU" ]; then + export GGML_OPENVINO_DEVICE=GPU + fi + ctest --test-dir build/ReleaseOV -L main -E "test-llama-archs" --verbose --timeout 2000 - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 - - - name: Build - id: cmake_build - run: | - sysctl -a - cmake -B build -G Xcode \ - -DGGML_METAL_USE_BF16=ON \ - -DGGML_METAL_EMBED_LIBRARY=ON \ - -DLLAMA_BUILD_COMMON=OFF \ - -DLLAMA_BUILD_EXAMPLES=OFF \ - -DLLAMA_BUILD_TOOLS=OFF \ - -DLLAMA_BUILD_TESTS=OFF \ - -DLLAMA_BUILD_SERVER=OFF \ - -DCMAKE_SYSTEM_NAME=visionOS \ - -DCMAKE_OSX_DEPLOYMENT_TARGET=1.0 \ - -DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml - cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO - - macOS-latest-swift: - runs-on: macos-latest - needs: ios-xcode-build - - strategy: - matrix: - destination: ['generic/platform=macOS', 'generic/platform=iOS', 'generic/platform=tvOS'] - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 - - - name: ccache - uses: ggml-org/ccache-action@v1.2.16 - with: - key: macOS-latest-swift - evict-old-files: 1d - save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} - - - name: Download xcframework artifact - uses: actions/download-artifact@v7 - with: - name: llama-xcframework - path: build-apple/llama.xcframework/ - - - name: Build llama.cpp with CMake - id: cmake_build - run: | - sysctl -a - cmake -B build -G Xcode \ - -DGGML_METAL_USE_BF16=ON \ - -DGGML_METAL_EMBED_LIBRARY=ON \ - -DLLAMA_OPENSSL=OFF \ - -DLLAMA_BUILD_EXAMPLES=OFF \ - -DLLAMA_BUILD_TOOLS=OFF \ - -DLLAMA_BUILD_TESTS=OFF \ - -DLLAMA_BUILD_SERVER=OFF \ - -DCMAKE_OSX_ARCHITECTURES="arm64;x86_64" - cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) - - windows-msys2: - runs-on: windows-2025 - - strategy: - fail-fast: false - matrix: - include: - - { sys: UCRT64, env: ucrt-x86_64, build: Release } - - { sys: CLANG64, env: clang-x86_64, build: Release } - - steps: - - name: Clone - uses: actions/checkout@v6 - - - name: ccache - uses: ggml-org/ccache-action@v1.2.16 - with: - key: windows-msys2 - variant: ccache - evict-old-files: 1d - save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} - - - name: Setup ${{ matrix.sys }} - uses: msys2/setup-msys2@v2 - with: - update: true - msystem: ${{matrix.sys}} - install: >- - base-devel - git - mingw-w64-${{matrix.env}}-toolchain - mingw-w64-${{matrix.env}}-cmake - mingw-w64-${{matrix.env}}-openblas - - - name: Build using CMake - shell: msys2 {0} - run: | - cmake -B build - cmake --build build --config ${{ matrix.build }} -j $(nproc) - - - name: Clean after building using CMake - shell: msys2 {0} - run: | - rm -rf build - - - name: Build using CMake w/ OpenBLAS - shell: msys2 {0} - run: | - cmake -B build -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS - cmake --build build --config ${{ matrix.build }} -j $(nproc) - - windows-latest-cmake: + windows-latest: runs-on: windows-2025 env: @@ -963,9 +693,9 @@ jobs: uses: actions/checkout@v6 - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: windows-latest-cmake-${{ matrix.build }} + key: windows-latest-${{ matrix.build }} variant: ccache evict-old-files: 1d save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} @@ -1052,7 +782,7 @@ jobs: # $env:LLAMA_SKIP_TESTS_SLOW_ON_EMULATOR = 1 # & $sde -future -- ctest -L main -C Release --verbose --timeout 900 - ubuntu-latest-cmake-cuda: + ubuntu-latest-cuda: runs-on: ubuntu-latest container: nvidia/cuda:12.6.2-devel-ubuntu24.04 @@ -1069,9 +799,9 @@ jobs: apt install -y cmake build-essential ninja-build libgomp1 git libssl-dev - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: ubuntu-latest-cmake-cuda + key: ubuntu-latest-cuda evict-old-files: 1d save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} @@ -1088,7 +818,7 @@ jobs: -DGGML_CUDA_CUB_3DOT2=ON cmake --build build - windows-2022-cmake-cuda: + windows-2022-cuda: runs-on: windows-2022 strategy: @@ -1101,7 +831,7 @@ jobs: uses: actions/checkout@v6 - name: Install ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: key: windows-cuda-${{ matrix.cuda }} variant: ccache @@ -1137,7 +867,7 @@ jobs: cmake --build build --config Release -j %NINJA_JOBS% -t ggml cmake --build build --config Release - windows-latest-cmake-sycl: + windows-latest-sycl: runs-on: windows-2022 defaults: @@ -1154,9 +884,9 @@ jobs: uses: actions/checkout@v6 - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: windows-latest-cmake-sycl + key: windows-latest-sycl variant: ccache evict-old-files: 1d save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} @@ -1171,7 +901,7 @@ jobs: id: cmake_build run: examples/sycl/win-build-sycl.bat - windows-latest-cmake-hip: + windows-latest-hip: runs-on: windows-2022 env: @@ -1215,7 +945,7 @@ jobs: & $clangPath.FullName --version - name: Install ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: key: ${{ github.job }} evict-old-files: 1d @@ -1238,521 +968,7 @@ jobs: -DGGML_RPC=ON cmake --build build -j ${env:NUMBER_OF_PROCESSORS} - ios-xcode-build: - runs-on: macos-latest - - steps: - - name: Checkout code - uses: actions/checkout@v6 - - - name: Setup Xcode - uses: maxim-lobanov/setup-xcode@v1 - with: - xcode-version: latest-stable - - - name: Build - id: cmake_build - run: | - sysctl -a - cmake -B build -G Xcode \ - -DGGML_METAL_USE_BF16=ON \ - -DGGML_METAL_EMBED_LIBRARY=ON \ - -DLLAMA_OPENSSL=OFF \ - -DLLAMA_BUILD_EXAMPLES=OFF \ - -DLLAMA_BUILD_TOOLS=OFF \ - -DLLAMA_BUILD_TESTS=OFF \ - -DLLAMA_BUILD_SERVER=OFF \ - -DCMAKE_SYSTEM_NAME=iOS \ - -DCMAKE_OSX_DEPLOYMENT_TARGET=14.0 \ - -DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml - cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO - - - name: xcodebuild for swift package - id: xcodebuild - run: | - ./build-xcframework.sh - - - name: Upload xcframework artifact - uses: actions/upload-artifact@v6 - with: - name: llama-xcframework - path: build-apple/llama.xcframework/ - retention-days: 1 - - - name: Build Xcode project - run: | - xcodebuild -downloadPlatform iOS - xcodebuild -project examples/llama.swiftui/llama.swiftui.xcodeproj -scheme llama.swiftui -sdk iphoneos CODE_SIGNING_REQUIRED=NO CODE_SIGN_IDENTITY= -destination 'generic/platform=iOS' FRAMEWORK_FOLDER_PATH=./build-ios build - - android-build: - runs-on: ubuntu-latest - - steps: - - name: Clone - uses: actions/checkout@v6 - - # Disabled due to size (400MB) and always 0 cache hits - # - name: ccache - # uses: ggml-org/ccache-action@v1.2.16 - # with: - # key: android-build - # evict-old-files: 1d - - - name: Set up JDK - uses: actions/setup-java@v5 - with: - java-version: 17 - distribution: zulu - - - name: Setup Android SDK - uses: android-actions/setup-android@v3 - with: - log-accepted-android-sdk-licenses: false - - - name: Build - run: | - cd examples/llama.android - ./gradlew build --no-daemon - - android-ndk-build: - runs-on: ubuntu-latest - - env: - OPENCL_VERSION: 2025.07.22 - - strategy: - matrix: - include: - - build: 'arm64-cpu' - defines: '-D ANDROID_ABI=arm64-v8a -D ANDROID_PLATFORM=android-31 -D CMAKE_TOOLCHAIN_FILE=${ANDROID_NDK_ROOT}/build/cmake/android.toolchain.cmake -D GGML_NATIVE=OFF -DGGML_CPU_ARM_ARCH=armv8.5-a+fp16+i8mm -G Ninja -D LLAMA_OPENSSL=OFF -D GGML_OPENMP=OFF' - - build: 'arm64-snapdragon' - defines: '--preset arm64-android-snapdragon-release' - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 - - - name: Install OpenCL Headers and Libs - id: install_opencl - if: ${{ matrix.build == 'arm64-snapdragon' }} - run: | - mkdir opencl - curl -L -o opencl/clhpp.tar.gz https://github.com/KhronosGroup/OpenCL-CLHPP/archive/refs/tags/v${OPENCL_VERSION}.tar.gz - curl -L -o opencl/headers.tar.gz https://github.com/KhronosGroup/OpenCL-Headers/archive/refs/tags/v${OPENCL_VERSION}.tar.gz - curl -L -o opencl/icd-loader.tar.gz https://github.com/KhronosGroup/OpenCL-ICD-Loader/archive/refs/tags/v${OPENCL_VERSION}.tar.gz - tar -xaf opencl/headers.tar.gz -C opencl - tar -xaf opencl/clhpp.tar.gz -C opencl - tar -xaf opencl/icd-loader.tar.gz -C opencl - sudo cp -r opencl/OpenCL-Headers-${OPENCL_VERSION}/CL ${ANDROID_NDK_ROOT}/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include - sudo cp -r opencl/OpenCL-CLHPP-${OPENCL_VERSION}/include/CL/* ${ANDROID_NDK_ROOT}/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include/CL - cd opencl/OpenCL-ICD-Loader-${OPENCL_VERSION} - cmake -B build -G Ninja -DCMAKE_BUILD_TYPE=Release -DCMAKE_TOOLCHAIN_FILE=${ANDROID_NDK_ROOT}/build/cmake/android.toolchain.cmake -DOPENCL_ICD_LOADER_HEADERS_DIR=${ANDROID_NDK_ROOT}/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include -DANDROID_ABI=arm64-v8a -DANDROID_PLATFORM=31 -DANDROID_STL=c++_shared - cmake --build build - sudo cp build/libOpenCL.so ${ANDROID_NDK_ROOT}/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib/aarch64-linux-android - rm -rf opencl - - - name: Install Hexagon SDK - id: install_hexsdk - if: ${{ matrix.build == 'arm64-snapdragon' }} - env: - HEXSDK_VER: 6.4.0.2 - HEXTLS_VER: 19.0.04 - run: | - curl -L -o hex-sdk.tar.gz https://github.com/snapdragon-toolchain/hexagon-sdk/releases/download/v$HEXSDK_VER/hexagon-sdk-v$HEXSDK_VER-amd64-lnx.tar.xz - mkdir hex-sdk - tar -xaf hex-sdk.tar.gz -C hex-sdk - ls -l hex-sdk - sudo mv hex-sdk /opt/hexagon - echo "HEXAGON_SDK_ROOT=/opt/hexagon/$HEXSDK_VER" >> "$GITHUB_ENV" - echo "HEXAGON_TOOLS_ROOT=/opt/hexagon/$HEXSDK_VER/tools/HEXAGON_Tools/$HEXTLS_VER" >> "$GITHUB_ENV" - echo "DEFAULT_HLOS_ARCH=64" >> "$GITHUB_ENV" - echo "DEFAULT_TOOLS_VARIANT=toolv19" >> "$GITHUB_ENV" - echo "DEFAULT_NO_QURT_INC=0" >> "$GITHUB_ENV" - echo "DEFAULT_DSP_ARCH=v73" >> "$GITHUB_ENV" - - - name: Update CMake presets - id: update_presets - if: ${{ matrix.build == 'arm64-snapdragon' }} - run: | - cp docs/backend/snapdragon/CMakeUserPresets.json . - - - name: Build - id: ndk_build - run: | - cmake ${{ matrix.defines }} -B build - cmake --build build - cmake --install build --prefix pkg-adb/llama.cpp - - - name: Test - id: cmake_test - run: | - echo "FIXME: test on devices" - - openEuler-latest-cmake-cann: - defaults: - run: - shell: bash -el {0} - strategy: - matrix: - arch: [x86, aarch64] - chip_type: ['910b', '310p'] - build: ['Release'] - use_acl_graph: ['on', 'off'] - exclude: - # 310P does not support USE_ACL_GRAPH=on - - chip_type: '310p' - use_acl_graph: 'on' - runs-on: ${{ matrix.arch == 'aarch64' && 'ubuntu-24.04-arm' || 'ubuntu-24.04' }} - steps: - - name: Checkout - uses: actions/checkout@v6 - with: - fetch-depth: 0 - - - name: Free up disk space - uses: ggml-org/free-disk-space@v1.3.1 - with: - tool-cache: true - - - name: Set container image - id: cann-image - run: | - image="ascendai/cann:${{ matrix.chip_type == '910b' && '8.3.rc2-910b-openeuler24.03-py3.11' || '8.3.rc2-310p-openeuler24.03-py3.11' }}" - echo "image=${image}" >> "${GITHUB_OUTPUT}" - - - name: Pull container image - run: docker pull "${{ steps.cann-image.outputs.image }}" - - - name: Build - env: - BUILD_TYPE: ${{ matrix.build }} - SOC_TYPE: ascend${{ matrix.chip_type }} - USE_ACL_GRAPH: ${{ matrix.use_acl_graph }} - run: | - HOST_UID=$(id -u) - HOST_GID=$(id -g) - - docker run --rm \ - -v "${PWD}:/workspace" \ - -w /workspace \ - -e SOC_TYPE=${SOC_TYPE} \ - -e BUILD_TYPE=${BUILD_TYPE} \ - -e USE_ACL_GRAPH=${USE_ACL_GRAPH} \ - "${{ steps.cann-image.outputs.image }}" \ - bash -lc ' - set -e - yum install -y --setopt=install_weak_deps=False --setopt=tsflags=nodocs git gcc gcc-c++ make cmake openssl-devel - yum clean all && rm -rf /var/cache/yum - git config --global --add safe.directory "/workspace" - export LD_LIBRARY_PATH=${ASCEND_TOOLKIT_HOME}/lib64:${ASCEND_TOOLKIT_HOME}/$(uname -m)-linux/devlib/:${LD_LIBRARY_PATH} - cmake -S . -B build \ - -DCMAKE_BUILD_TYPE=${BUILD_TYPE} \ - -DGGML_CANN=on \ - -DSOC_TYPE=${SOC_TYPE} \ - -DUSE_ACL_GRAPH=${USE_ACL_GRAPH} - cmake --build build -j $(nproc) - - chown -R '"${HOST_UID}"':'"${HOST_GID}"' /workspace/build - ' - -# TODO: simplify the following workflows using a matrix -# TODO: run lighter CI on PRs and the full CI only on master (if needed) - ggml-ci-x64-cpu-low-perf: - runs-on: ubuntu-22.04 - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 - - - name: ccache - uses: ggml-org/ccache-action@v1.2.16 - with: - key: ggml-ci-x64-cpu-low-perf - evict-old-files: 1d - save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} - - - name: Dependencies - id: depends - run: | - sudo apt-get update - sudo apt-get install build-essential - - - name: Test - id: ggml-ci - run: | - LLAMA_ARG_THREADS=$(nproc) GG_BUILD_LOW_PERF=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt - - ggml-ci-arm64-cpu-low-perf: - runs-on: ubuntu-22.04-arm - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 - - - name: ccache - uses: ggml-org/ccache-action@v1.2.16 - with: - key: ggml-ci-arm64-cpu-low-perf - evict-old-files: 1d - save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} - - - name: Dependencies - id: depends - run: | - sudo apt-get update - sudo apt-get install build-essential - - - name: Test - id: ggml-ci - run: | - LLAMA_ARG_THREADS=$(nproc) GG_BUILD_LOW_PERF=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt - - ggml-ci-x64-cpu-high-perf: - runs-on: ubuntu-22.04 - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 - - - name: ccache - uses: ggml-org/ccache-action@v1.2.16 - with: - key: ggml-ci-x64-cpu-high-perf - evict-old-files: 1d - save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} - - - name: Dependencies - id: depends - run: | - sudo apt-get update - sudo apt-get install build-essential - - - name: Test - id: ggml-ci - run: | - LLAMA_ARG_THREADS=$(nproc) GG_BUILD_HIGH_PERF=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt - - ggml-ci-arm64-cpu-high-perf: - runs-on: ubuntu-22.04-arm - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 - - - name: ccache - uses: ggml-org/ccache-action@v1.2.16 - with: - key: ggml-ci-arm64-cpu-high-perf - evict-old-files: 1d - save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} - - - name: Dependencies - id: depends - run: | - sudo apt-get update - sudo apt-get install build-essential - - - name: Test - id: ggml-ci - run: | - LLAMA_ARG_THREADS=$(nproc) GG_BUILD_HIGH_PERF=1 GG_BUILD_NO_SVE=1 GG_BUILD_NO_BF16=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt - - ggml-ci-arm64-cpu-high-perf-sve: - runs-on: ubuntu-22.04-arm - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 - - - name: ccache - uses: ggml-org/ccache-action@v1.2.16 - with: - key: ggml-ci-arm64-cpu-high-perf-sve - evict-old-files: 1d - save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} - - - name: Dependencies - id: depends - run: | - sudo apt-get update - sudo apt-get install build-essential - - - name: Test - id: ggml-ci - run: | - LLAMA_ARG_THREADS=$(nproc) GG_BUILD_NO_BF16=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt - - ggml-ci-x64-nvidia-cuda: - runs-on: [self-hosted, Linux, X64, NVIDIA] - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 - - - name: Test - id: ggml-ci - run: | - nvidia-smi - GG_BUILD_CUDA=1 bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp - - ggml-ci-x64-nvidia-vulkan-cm: - runs-on: [self-hosted, Linux, X64, NVIDIA] - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 - - - name: Test - id: ggml-ci - run: | - vulkaninfo --summary - GG_BUILD_VULKAN=1 GGML_VK_DISABLE_COOPMAT2=1 bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp - - ggml-ci-x64-nvidia-vulkan-cm2: - runs-on: [self-hosted, Linux, X64, NVIDIA, COOPMAT2] - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 - - - name: Test - id: ggml-ci - run: | - vulkaninfo --summary - GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp - - ggml-ci-x64-cpu-amx: - runs-on: [self-hosted, Linux, X64, CPU, AMX] - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 - - - name: Test - id: ggml-ci - run: | - bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp - - # ggml-ci-x64-amd-vulkan: - # runs-on: [self-hosted, Linux, X64, AMD] - - # steps: - # - name: Clone - # id: checkout - # uses: actions/checkout@v6 - - # - name: Test - # id: ggml-ci - # run: | - # vulkaninfo --summary - # GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp - - # ggml-ci-x64-amd-rocm: - # runs-on: [self-hosted, Linux, X64, AMD] - - # steps: - # - name: Clone - # id: checkout - # uses: actions/checkout@v6 - - # - name: Test - # id: ggml-ci - # run: | - # amd-smi static - # GG_BUILD_ROCM=1 GG_BUILD_AMDGPU_TARGETS="gfx1101" bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp - - ggml-ci-mac-metal: - runs-on: [self-hosted, macOS, ARM64] - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 - - - name: Test - id: ggml-ci - run: | - GG_BUILD_METAL=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp - - ggml-ci-mac-webgpu: - runs-on: [self-hosted, macOS, ARM64] - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 - - - name: Dawn Dependency - id: dawn-depends - run: | - DAWN_VERSION="v2.0.0" - DAWN_OWNER="reeselevine" - DAWN_REPO="dawn" - DAWN_ASSET_NAME="Dawn-5e9a4865b1635796ccc77dd30057f2b4002a1355-macos-latest-Release" - echo "Fetching release asset from https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.zip" - curl -L -o artifact.zip \ - "https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.zip" - mkdir dawn - unzip artifact.zip - tar -xvf ${DAWN_ASSET_NAME}.tar.gz -C dawn --strip-components=1 - - - name: Test - id: ggml-ci - run: | - GG_BUILD_WEBGPU=1 GG_BUILD_WEBGPU_DAWN_PREFIX="$GITHUB_WORKSPACE/dawn" \ - bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp - - ggml-ci-mac-vulkan: - runs-on: [self-hosted, macOS, ARM64] - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 - - - name: Test - id: ggml-ci - run: | - vulkaninfo --summary - GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp - - ggml-ci-arm64-cpu-kleidiai: - runs-on: ubuntu-22.04-arm - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v6 - - - name: ccache - uses: ggml-org/ccache-action@v1.2.16 - with: - key: ggml-ci-arm64-cpu-kleidiai - evict-old-files: 1d - save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} - - - name: Dependencies - id: depends - run: | - sudo apt-get update - sudo apt-get install -y build-essential - - - name: Test - id: ggml-ci - run: | - GG_BUILD_KLEIDIAI=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt - - ubuntu-cpu-cmake-riscv64-native: + ubuntu-cpu-riscv64-native: runs-on: RISCV64 steps: @@ -1842,252 +1058,165 @@ jobs: ./bin/llama-convert-llama2c-to-ggml --copy-vocab-from-model ./tok512.bin --llama2c-model stories260K.bin --llama2c-output-model stories260K.gguf ./bin/llama-completion -m stories260K.gguf -p "One day, Lily met a Shoggoth" -n 500 -c 256 - ubuntu-cmake-sanitizer-riscv64-native: - runs-on: RISCV64 - - continue-on-error: true - - strategy: - matrix: - sanitizer: [ADDRESS, THREAD, UNDEFINED] - build_type: [Debug] +# TODO: simplify the following workflows using a matrix +# TODO: run lighter CI on PRs and the full CI only on master (if needed) + ggml-ci-x64-cpu-low-perf: + runs-on: ubuntu-22.04 steps: - - name: Install dependencies - run: | - sudo apt-get update - - # Install necessary packages - sudo apt-get install -y libatomic1 libtsan2 gcc-14 g++-14 rustup cmake build-essential wget ccache git-lfs - - # Set gcc-14 and g++-14 as the default compilers - sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-14 100 - sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-14 100 - sudo ln -sf /usr/bin/gcc-14 /usr/bin/gcc - sudo ln -sf /usr/bin/g++-14 /usr/bin/g++ - - # Install Rust stable version - rustup install stable - rustup default stable - - git lfs install - - - name: GCC version check - run: | - gcc --version - g++ --version - - name: Clone id: checkout uses: actions/checkout@v6 - - name: Setup ccache - run: | - # Unique cache directory per matrix combination - export CCACHE_DIR="$HOME/.ccache/sanitizer-${{ matrix.sanitizer }}-${{ matrix.build_type }}" - mkdir -p "$CCACHE_DIR" + - name: ccache + uses: ggml-org/ccache-action@v1.2.21 + with: + key: ggml-ci-x64-cpu-low-perf + evict-old-files: 1d + save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} - # Configure ccache - ccache --set-config=max_size=5G - ccache --set-config=compression=true - ccache --set-config=compression_level=6 - ccache --set-config=cache_dir="$CCACHE_DIR" - ccache --set-config=sloppiness=file_macro,time_macros,include_file_mtime,include_file_ctime - ccache --set-config=hash_dir=false - - # Export for subsequent steps - echo "CCACHE_DIR=$CCACHE_DIR" >> $GITHUB_ENV - echo "PATH=/usr/lib/ccache:$PATH" >> $GITHUB_ENV - - - name: Build - id: cmake_build - if: ${{ matrix.sanitizer != 'THREAD' }} - run: | - cmake -B build \ - -DLLAMA_OPENSSL=OFF \ - -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} \ - -DGGML_OPENMP=ON \ - -DLLAMA_BUILD_EXAMPLES=ON \ - -DLLAMA_BUILD_TOOLS=ON \ - -DLLAMA_BUILD_TESTS=OFF \ - -DCMAKE_C_COMPILER_LAUNCHER=ccache \ - -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \ - -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \ - -DCMAKE_C_COMPILER=riscv64-linux-gnu-gcc-14 \ - -DCMAKE_CXX_COMPILER=riscv64-linux-gnu-g++-14 - - cmake --build build --config ${{ matrix.build_type }} -j $(nproc) - - - name: Build (no OpenMP) - id: cmake_build_no_openmp - if: ${{ matrix.sanitizer == 'THREAD' }} - run: | - cmake -B build \ - -DLLAMA_OPENSSL=OFF \ - -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} \ - -DGGML_OPENMP=OFF \ - -DLLAMA_BUILD_EXAMPLES=ON \ - -DLLAMA_BUILD_TOOLS=ON \ - -DLLAMA_BUILD_TESTS=OFF \ - -DCMAKE_C_COMPILER_LAUNCHER=ccache \ - -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \ - -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \ - -DCMAKE_C_COMPILER=riscv64-linux-gnu-gcc-14 \ - -DCMAKE_CXX_COMPILER=riscv64-linux-gnu-g++-14 - - cmake --build build --config ${{ matrix.build_type }} -j $(nproc) - - - name: Test - id: cmake_test - run: | - cd build - ctest -L main --verbose --timeout 900 - - - ubuntu-llguidance-riscv64-native: - runs-on: RISCV64 - steps: - - name: Install dependencies + - name: Dependencies + id: depends run: | sudo apt-get update + sudo apt-get install build-essential - # Install necessary packages - sudo apt-get install -y libatomic1 libtsan2 gcc-14 g++-14 rustup cmake build-essential wget ccache git-lfs - - # Set gcc-14 and g++-14 as the default compilers - sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-14 100 - sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-14 100 - sudo ln -sf /usr/bin/gcc-14 /usr/bin/gcc - sudo ln -sf /usr/bin/g++-14 /usr/bin/g++ - - # Install Rust stable version - rustup install stable - rustup default stable - - git lfs install - - - name: GCC version check + - name: Test + id: ggml-ci run: | - gcc --version - g++ --version + LLAMA_ARG_THREADS=$(nproc) GG_BUILD_LOW_PERF=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt + ggml-ci-arm64-cpu-low-perf: + runs-on: ubuntu-22.04-arm + + steps: - name: Clone id: checkout uses: actions/checkout@v6 - - name: Setup ccache - run: | - export CCACHE_DIR="$HOME/.ccache/llguidance-riscv64" - mkdir -p "$CCACHE_DIR" + - name: ccache + uses: ggml-org/ccache-action@v1.2.21 + with: + key: ggml-ci-arm64-cpu-low-perf + evict-old-files: 1d + save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} - ccache --set-config=max_size=5G - ccache --set-config=compression=true - ccache --set-config=compression_level=6 - ccache --set-config=cache_dir="$CCACHE_DIR" - ccache --set-config=sloppiness=file_macro,time_macros,include_file_mtime,include_file_ctime - ccache --set-config=hash_dir=false - - echo "CCACHE_DIR=$CCACHE_DIR" >> $GITHUB_ENV - echo "PATH=/usr/lib/ccache:$PATH" >> $GITHUB_ENV - - - name: Build - id: cmake_build - run: | - cmake -B build \ - -DLLAMA_OPENSSL=OFF \ - -DCMAKE_BUILD_TYPE=Release \ - -DGGML_OPENMP=OFF \ - -DLLAMA_BUILD_EXAMPLES=ON \ - -DLLAMA_BUILD_TOOLS=ON \ - -DLLAMA_BUILD_TESTS=OFF \ - -DCMAKE_C_COMPILER_LAUNCHER=ccache \ - -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \ - -DLLAMA_LLGUIDANCE=ON \ - -DCMAKE_C_COMPILER=riscv64-linux-gnu-gcc-14 \ - -DCMAKE_CXX_COMPILER=riscv64-linux-gnu-g++-14 - - cmake --build build --config Release -j $(nproc) - - - name: Test - id: cmake_test - run: | - cd build - ctest -L main --verbose --timeout 900 - - - ubuntu-cmake-rpc-riscv64-native: - runs-on: RISCV64 - - continue-on-error: true - - steps: - - name: Install dependencies + - name: Dependencies + id: depends run: | sudo apt-get update + sudo apt-get install build-essential - # Install necessary packages - sudo apt-get install -y libatomic1 libtsan2 gcc-14 g++-14 rustup cmake build-essential libssl-dev wget ccache git-lfs - - # Set gcc-14 and g++-14 as the default compilers - sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-14 100 - sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-14 100 - sudo ln -sf /usr/bin/gcc-14 /usr/bin/gcc - sudo ln -sf /usr/bin/g++-14 /usr/bin/g++ - - # Install Rust stable version - rustup install stable - rustup default stable - - git lfs install - - - name: GCC version check + - name: Test + id: ggml-ci run: | - gcc --version - g++ --version + LLAMA_ARG_THREADS=$(nproc) GG_BUILD_LOW_PERF=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt + ggml-ci-x64-cpu-high-perf: + runs-on: ubuntu-22.04 + + steps: - name: Clone id: checkout uses: actions/checkout@v6 - - name: Setup ccache + - name: ccache + uses: ggml-org/ccache-action@v1.2.21 + with: + key: ggml-ci-x64-cpu-high-perf + evict-old-files: 1d + save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} + + - name: Dependencies + id: depends run: | - export CCACHE_DIR="$HOME/.ccache/rpc-riscv64" - mkdir -p "$CCACHE_DIR" - - ccache --set-config=max_size=5G - ccache --set-config=compression=true - ccache --set-config=compression_level=6 - ccache --set-config=cache_dir="$CCACHE_DIR" - ccache --set-config=sloppiness=file_macro,time_macros,include_file_mtime,include_file_ctime - ccache --set-config=hash_dir=false - - echo "CCACHE_DIR=$CCACHE_DIR" >> $GITHUB_ENV - echo "PATH=/usr/lib/ccache:$PATH" >> $GITHUB_ENV - - - name: Build - id: cmake_build - run: | - cmake -B build \ - -DCMAKE_BUILD_TYPE=Release \ - -DGGML_OPENMP=OFF \ - -DLLAMA_BUILD_EXAMPLES=ON \ - -DLLAMA_BUILD_TOOLS=ON \ - -DLLAMA_BUILD_TESTS=ON \ - -DCMAKE_C_COMPILER_LAUNCHER=ccache \ - -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \ - -DCMAKE_C_COMPILER=riscv64-linux-gnu-gcc-14 \ - -DCMAKE_CXX_COMPILER=riscv64-linux-gnu-g++-14 \ - -DGGML_RPC=ON - - cmake --build build --config Release -j $(nproc) + sudo apt-get update + sudo apt-get install build-essential - name: Test - id: cmake_test + id: ggml-ci run: | - cd build - ctest -L main --verbose + LLAMA_ARG_THREADS=$(nproc) GG_BUILD_HIGH_PERF=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt - ggml-ci-arm64-graviton4-kleidiai: + ggml-ci-arm64-cpu-high-perf: + runs-on: ubuntu-22.04-arm + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: ccache + uses: ggml-org/ccache-action@v1.2.21 + with: + key: ggml-ci-arm64-cpu-high-perf + evict-old-files: 1d + save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} + + - name: Dependencies + id: depends + run: | + sudo apt-get update + sudo apt-get install build-essential + + - name: Test + id: ggml-ci + run: | + LLAMA_ARG_THREADS=$(nproc) GG_BUILD_HIGH_PERF=1 GG_BUILD_NO_SVE=1 GG_BUILD_NO_BF16=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt + + ggml-ci-arm64-cpu-high-perf-sve: + runs-on: ubuntu-22.04-arm + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: ccache + uses: ggml-org/ccache-action@v1.2.21 + with: + key: ggml-ci-arm64-cpu-high-perf-sve + evict-old-files: 1d + save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} + + - name: Dependencies + id: depends + run: | + sudo apt-get update + sudo apt-get install build-essential + + - name: Test + id: ggml-ci + run: | + LLAMA_ARG_THREADS=$(nproc) GG_BUILD_NO_BF16=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt + + ggml-ci-arm64-cpu-kleidiai: + runs-on: ubuntu-22.04-arm + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: ccache + uses: ggml-org/ccache-action@v1.2.21 + with: + key: ggml-ci-arm64-cpu-kleidiai + evict-old-files: 1d + save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} + + - name: Dependencies + id: depends + run: | + sudo apt-get update + sudo apt-get install -y build-essential + + - name: Test + id: ggml-ci + run: | + GG_BUILD_KLEIDIAI=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt + + ggml-ci-arm64-cpu-kleidiai-graviton4: runs-on: ah-ubuntu_22_04-c8g_8x steps: @@ -2122,9 +1251,9 @@ jobs: sudo apt-get install -y cmake - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: ggml-ci-arm64-graviton4-kleidiai + key: ggml-ci-arm64-cpu-kleidiai-graviton4 evict-old-files: 1d save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} diff --git a/.github/workflows/copilot-setup-steps.yml b/.github/workflows/copilot-setup-steps.yml index fc3cec5ea1..749debee41 100644 --- a/.github/workflows/copilot-setup-steps.yml +++ b/.github/workflows/copilot-setup-steps.yml @@ -29,7 +29,7 @@ jobs: uses: actions/checkout@v6 - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: key: copilot-setup-steps evict-old-files: 1d @@ -52,6 +52,6 @@ jobs: - name: Install Python dependencies run: | python3 -m venv .venv - .venv/bin/activate + source .venv/bin/activate pip install -r requirements/requirements-all.txt -r tools/server/tests/requirements.txt pip install flake8 pyright pre-commit diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml index 8062177ba5..9b0a3f8a70 100644 --- a/.github/workflows/docker.yml +++ b/.github/workflows/docker.yml @@ -47,6 +47,7 @@ jobs: - { tag: "vulkan", dockerfile: ".devops/vulkan.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-22.04" } - { tag: "s390x", dockerfile: ".devops/s390x.Dockerfile", platforms: "linux/s390x", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-22.04-s390x" } - { tag: "rocm", dockerfile: ".devops/rocm.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true, runs_on: "ubuntu-22.04" } + - { tag: "openvino", dockerfile: ".devops/openvino.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-22.04" } steps: - name: Check out the repo uses: actions/checkout@v6 diff --git a/.github/workflows/hip-quality-check.yml b/.github/workflows/hip-quality-check.yml new file mode 100644 index 0000000000..04ae96d648 --- /dev/null +++ b/.github/workflows/hip-quality-check.yml @@ -0,0 +1,80 @@ +name: HIP quality check + +on: + workflow_dispatch: # allows manual triggering + push: + branches: + - master + paths: [ + '.github/workflows/hip-quality-check.yml', + '**/*.cu', + '**/*.cuh' + ] + + pull_request: + types: [opened, synchronize, reopened] + paths: [ + '.github/workflows/hip-quality-check.yml', + '**/*.cu', + '**/*.cuh' + ] + +concurrency: + group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} + cancel-in-progress: true + +env: + GGML_NLOOP: 3 + GGML_N_THREADS: 1 + LLAMA_LOG_COLORS: 1 + LLAMA_LOG_PREFIX: 1 + LLAMA_LOG_TIMESTAMPS: 1 + +jobs: + ubuntu-22-hip-quality-check: + runs-on: ubuntu-22.04 + container: rocm/dev-ubuntu-22.04:7.2 + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + + - name: Dependencies + id: depends + run: | + sudo apt-get update + sudo apt-get install -y build-essential git cmake rocblas-dev hipblas-dev libssl-dev python3 + + - name: ccache + uses: ggml-org/ccache-action@v1.2.21 + with: + key: ubuntu-22-hip-quality-check + evict-old-files: 1d + save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} + + - name: Build with Werror + id: cmake_build + run: | + cmake -B build -S . \ + -DCMAKE_HIP_COMPILER="$(hipconfig -l)/clang" \ + -DGPU_TARGETS=gfx908 \ + -DGGML_HIP=ON \ + -DGGML_HIP_EXPORT_METRICS=Off \ + -DCMAKE_HIP_FLAGS="-Werror -Wno-tautological-compare" \ + -DCMAKE_BUILD_TYPE=Release + cd build + make -j $(nproc) + + - name: Check for major VGPR spills + id: vgpr_check + run: | + cmake -B build -S . \ + -DCMAKE_HIP_COMPILER="$(hipconfig -l)/clang" \ + -DGPU_TARGETS=gfx908 \ + -DGGML_HIP=ON \ + -DGGML_HIP_EXPORT_METRICS=On \ + -DCMAKE_HIP_FLAGS="" \ + -DCMAKE_BUILD_TYPE=Release + cd build + make -j $(nproc) 2>&1 | tee metrics.log | grep -v 'Rpass-analysis=kernel-resource-usage\|remark:\|^$' + python3 ../scripts/hip/gcn-cdna-vgpr-check.py metrics.log diff --git a/.github/workflows/python-lint.yml b/.github/workflows/python-lint.yml index 8d1dd7a7d5..e21b3b6568 100644 --- a/.github/workflows/python-lint.yml +++ b/.github/workflows/python-lint.yml @@ -4,10 +4,16 @@ on: push: branches: - master - paths: ['.github/workflows/python-lint.yml', '**/*.py'] + paths: [ + '.github/workflows/python-lint.yml', + '**/*.py' + ] pull_request: types: [opened, synchronize, reopened] - paths: ['.github/workflows/python-lint.yml', '**/*.py'] + paths: [ + '.github/workflows/python-lint.yml', + '**/*.py' + ] concurrency: group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} diff --git a/.github/workflows/python-type-check.yml b/.github/workflows/python-type-check.yml index e801a9f42e..2c62678726 100644 --- a/.github/workflows/python-type-check.yml +++ b/.github/workflows/python-type-check.yml @@ -4,15 +4,17 @@ on: push: paths: - '.github/workflows/python-type-check.yml' - - 'pyrightconfig.json' + - 'ty.toml' - '**.py' - '**/requirements*.txt' + # - 'pyrightconfig.json' pull_request: paths: - '.github/workflows/python-type-check.yml' - - 'pyrightconfig.json' + - 'ty.toml' - '**.py' - '**/requirements*.txt' + # - 'pyrightconfig.json' concurrency: group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} @@ -20,8 +22,8 @@ concurrency: jobs: python-type-check: - runs-on: ubuntu-latest - name: pyright type-check + runs-on: ubuntu-slim + name: python type-check steps: - name: Check out source repository uses: actions/checkout@v6 @@ -29,10 +31,13 @@ jobs: uses: actions/setup-python@v6 with: python-version: "3.11" - pip-install: -r requirements/requirements-all.txt - - name: Type-check with Pyright - uses: jakebailey/pyright-action@v2 - with: - version: 1.1.382 - level: warning - warnings: true + pip-install: -r requirements/requirements-all.txt ty==0.0.24 + # - name: Type-check with Pyright + # uses: jakebailey/pyright-action@v2 + # with: + # version: 1.1.382 + # level: warning + # warnings: true + - name: Type-check with ty + run: | + ty check --output-format=github diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 1f79a83815..c3181f1772 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -10,7 +10,22 @@ on: push: branches: - master - paths: ['.github/workflows/release.yml', '**/CMakeLists.txt', '**/.cmake', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu', '**/*.cuh', '**/*.swift', '**/*.m', '**/*.metal', '**/*.comp'] + paths: [ + '.github/workflows/release.yml', + '**/CMakeLists.txt', + '**/.cmake', + '**/*.h', + '**/*.hpp', + '**/*.c', + '**/*.cpp', + '**/*.cu', + '**/*.cuh', + '**/*.swift', + '**/*.m', + '**/*.metal', + '**/*.comp', + '**/*.glsl' + ] concurrency: group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} @@ -32,9 +47,9 @@ jobs: fetch-depth: 0 - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: macOS-latest-cmake-arm64 + key: macOS-latest-arm64 evict-old-files: 1d - name: Build @@ -79,9 +94,9 @@ jobs: fetch-depth: 0 - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: macOS-latest-cmake-x64 + key: macOS-latest-x64 evict-old-files: 1d - name: Build @@ -138,9 +153,10 @@ jobs: fetch-depth: 0 - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + if: ${{ matrix.build != 's390x' }} + uses: ggml-org/ccache-action@v1.2.21 with: - key: ubuntu-cpu-cmake-${{ matrix.build }} + key: ubuntu-cpu-${{ matrix.build }} evict-old-files: 1d - name: Dependencies @@ -189,9 +205,9 @@ jobs: fetch-depth: 0 - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: ubuntu-22-cmake-vulkan + key: ubuntu-22-vulkan evict-old-files: 1d - name: Dependencies @@ -231,6 +247,86 @@ jobs: path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-x64.tar.gz name: llama-bin-ubuntu-vulkan-x64.tar.gz + ubuntu-24-openvino: + runs-on: ubuntu-24.04 + + outputs: + openvino_version: ${{ steps.openvino_version.outputs.value }} + + env: + # Sync versions in build.yml, build-self-hosted.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile + OPENVINO_VERSION_MAJOR: "2026.0" + OPENVINO_VERSION_FULL: "2026.0.0.20965.c6d6a13a886" + + steps: + - name: Set OpenVINO version output + id: openvino_version + run: echo "value=${{ env.OPENVINO_VERSION_MAJOR }}" >> $GITHUB_OUTPUT + + - name: Clone + id: checkout + uses: actions/checkout@v6 + with: + fetch-depth: 0 + + - name: ccache + uses: ggml-org/ccache-action@v1.2.21 + with: + key: ubuntu-24-openvino-release-no-preset-v1 + evict-old-files: 1d + + - name: Dependencies + run: | + sudo apt-get update + sudo apt-get install -y build-essential libssl-dev libtbb12 cmake ninja-build python3-pip + sudo apt install ocl-icd-opencl-dev opencl-headers opencl-clhpp-headers intel-opencl-icd + + - name: Use OpenVINO Toolkit Cache + uses: actions/cache@v5 + id: cache-openvino + with: + path: ./openvino_toolkit + key: openvino-toolkit-v${{ env.OPENVINO_VERSION_FULL }}-${{ runner.os }} + + - name: Setup OpenVINO Toolkit + if: steps.cache-openvino.outputs.cache-hit != 'true' + uses: ./.github/actions/linux-setup-openvino + with: + path: ./openvino_toolkit + version_major: ${{ env.OPENVINO_VERSION_MAJOR }} + version_full: ${{ env.OPENVINO_VERSION_FULL }} + + - name: Install OpenVINO dependencies + run: | + cd ./openvino_toolkit + chmod +x ./install_dependencies/install_openvino_dependencies.sh + echo "Y" | sudo -E ./install_dependencies/install_openvino_dependencies.sh + + - name: Build + id: cmake_build + run: | + source ./openvino_toolkit/setupvars.sh + cmake -B build/ReleaseOV -G Ninja \ + -DCMAKE_BUILD_TYPE=Release \ + -DGGML_OPENVINO=ON + cmake --build build/ReleaseOV --config Release -j $(nproc) + + - name: Determine tag name + id: tag + uses: ./.github/actions/get-tag-name + + - name: Pack artifacts + id: pack_artifacts + run: | + cp LICENSE ./build/ReleaseOV/bin/ + tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-openvino-${{ env.OPENVINO_VERSION_MAJOR }}-x64.tar.gz --transform "s,./,llama-${{ steps.tag.outputs.name }}/," -C ./build/ReleaseOV/bin . + + - name: Upload artifacts + uses: actions/upload-artifact@v6 + with: + path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-openvino-${{ env.OPENVINO_VERSION_MAJOR }}-x64.tar.gz + name: llama-bin-ubuntu-openvino-${{ env.OPENVINO_VERSION_MAJOR }}-x64.tar.gz + windows-cpu: runs-on: windows-2025 @@ -247,9 +343,9 @@ jobs: fetch-depth: 0 - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: windows-latest-cmake-cpu-${{ matrix.arch }} + key: windows-latest-cpu-${{ matrix.arch }} variant: ccache evict-old-files: 1d @@ -308,9 +404,9 @@ jobs: uses: actions/checkout@v6 - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: windows-latest-cmake-${{ matrix.backend }}-${{ matrix.arch }} + key: windows-latest-${{ matrix.backend }}-${{ matrix.arch }} variant: ccache evict-old-files: 1d @@ -378,7 +474,7 @@ jobs: uses: actions/checkout@v6 - name: Install ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: key: windows-cuda-${{ matrix.cuda }} variant: ccache @@ -454,9 +550,9 @@ jobs: uses: actions/checkout@v6 - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: windows-latest-cmake-sycl + key: windows-latest-sycl variant: ccache evict-old-files: 1d @@ -534,9 +630,9 @@ jobs: fetch-depth: 0 - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: ubuntu-rocm-cmake-${{ matrix.ROCM_VERSION }}-${{ matrix.build }} + key: ubuntu-rocm-${{ matrix.ROCM_VERSION }}-${{ matrix.build }} evict-old-files: 1d - name: Dependencies @@ -644,9 +740,9 @@ jobs: key: rocm-${{ env.HIPSDK_INSTALLER_VERSION }}-${{ runner.os }} - name: ccache - uses: ggml-org/ccache-action@v1.2.16 + uses: ggml-org/ccache-action@v1.2.21 with: - key: windows-latest-cmake-hip-${{ env.HIPSDK_INSTALLER_VERSION }}-${{ matrix.name }}-x64 + key: windows-latest-hip-${{ env.HIPSDK_INSTALLER_VERSION }}-${{ matrix.name }}-x64 evict-old-files: 1d - name: Install ROCm @@ -872,7 +968,7 @@ jobs: permissions: contents: write # for creating release - runs-on: ubuntu-latest + runs-on: ubuntu-slim needs: - windows @@ -883,6 +979,7 @@ jobs: - ubuntu-22-rocm - ubuntu-22-cpu - ubuntu-22-vulkan + - ubuntu-24-openvino - macOS-arm64 - macOS-x64 - ios-xcode-build @@ -967,6 +1064,7 @@ jobs: - [Ubuntu x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-x64.tar.gz) - [Ubuntu x64 (ROCm 7.2)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-7.2-x64.tar.gz) - [Ubuntu s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-s390x.tar.gz) + - [Ubuntu x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-openvino-${{ needs.ubuntu-24-openvino.outputs.openvino_version }}-x64.tar.gz) **Windows:** - [Windows x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-cpu-x64.zip) diff --git a/.github/workflows/server-sanitize.yml b/.github/workflows/server-sanitize.yml new file mode 100644 index 0000000000..4c9f447cf8 --- /dev/null +++ b/.github/workflows/server-sanitize.yml @@ -0,0 +1,105 @@ +name: Server (sanitize) + +on: + workflow_dispatch: # allows manual triggering + inputs: + sha: + description: 'Commit SHA1 to build' + required: false + type: string + slow_tests: + description: 'Run slow tests' + required: true + type: boolean + push: + branches: + - master + paths: [ + '.github/workflows/server-sanitize.yml', + '**/CMakeLists.txt', + '**/Makefile', + '**/*.h', + '**/*.hpp', + '**/*.c', + '**/*.cpp', + 'tools/server/**.*' + ] + +env: + LLAMA_LOG_COLORS: 1 + LLAMA_LOG_PREFIX: 1 + LLAMA_LOG_TIMESTAMPS: 1 + LLAMA_LOG_VERBOSITY: 10 + +concurrency: + group: ${{ github.workflow }}-${{ github.ref }}-${{ github.head_ref || github.run_id }} + cancel-in-progress: true + +jobs: + server: + runs-on: ubuntu-latest + + strategy: + matrix: + sanitizer: [ADDRESS, UNDEFINED] # THREAD is very slow + build_type: [RelWithDebInfo] + fail-fast: false + + steps: + - name: Dependencies + id: depends + run: | + sudo apt-get update + sudo apt-get -y install \ + build-essential \ + xxd \ + git \ + cmake \ + curl \ + wget \ + language-pack-en \ + libssl-dev + + - name: Clone + id: checkout + uses: actions/checkout@v6 + with: + fetch-depth: 0 + ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }} + + - name: Build + id: cmake_build + run: | + cmake -B build \ + -DLLAMA_BUILD_BORINGSSL=ON \ + -DGGML_SCHED_NO_REALLOC=ON \ + -DGGML_SANITIZE_ADDRESS=${{ matrix.sanitizer == 'ADDRESS' }} \ + -DGGML_SANITIZE_THREAD=${{ matrix.sanitizer == 'THREAD' }} \ + -DGGML_SANITIZE_UNDEFINED=${{ matrix.sanitizer == 'UNDEFINED' }} \ + -DLLAMA_SANITIZE_ADDRESS=${{ matrix.sanitizer == 'ADDRESS' }} \ + -DLLAMA_SANITIZE_THREAD=${{ matrix.sanitizer == 'THREAD' }} \ + -DLLAMA_SANITIZE_UNDEFINED=${{ matrix.sanitizer == 'UNDEFINED' }} + cmake --build build --config ${{ matrix.build_type }} -j $(nproc) --target llama-server + + - name: Python setup + id: setup_python + uses: actions/setup-python@v6 + with: + python-version: '3.11' + pip-install: -r tools/server/tests/requirements.txt + + - name: Tests + id: server_integration_tests + if: ${{ (!matrix.disabled_on_pr || !github.event.pull_request) }} + run: | + cd tools/server/tests + export ${{ matrix.extra_args }} + pytest -v -x -m "not slow" + + - name: Slow tests + id: server_integration_tests_slow + if: ${{ (github.event.schedule || github.event.inputs.slow_tests == 'true') && matrix.build_type == 'Release' }} + run: | + cd tools/server/tests + export ${{ matrix.extra_args }} + SLOW_TESTS=1 pytest -v -x diff --git a/.github/workflows/server-metal.yml b/.github/workflows/server-self-hosted.yml similarity index 55% rename from .github/workflows/server-metal.yml rename to .github/workflows/server-self-hosted.yml index 1d707bef44..29bd79690a 100644 --- a/.github/workflows/server-metal.yml +++ b/.github/workflows/server-self-hosted.yml @@ -1,4 +1,4 @@ -name: Server-Metal +name: Server (self-hosted) on: workflow_dispatch: # allows manual triggering @@ -14,7 +14,19 @@ on: push: branches: - master - paths: ['.github/workflows/server-metal.yml', '**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu', '**/*.swift', '**/*.m', 'tools/server/**.*'] + paths: [ + '.github/workflows/server-self-hosted.yml', + '**/CMakeLists.txt', + '**/Makefile', + '**/*.h', + '**/*.hpp', + '**/*.c', + '**/*.cpp', + '**/*.cu', + '**/*.swift', + '**/*.m', + 'tools/server/**.*' + ] env: LLAMA_LOG_COLORS: 1 @@ -28,7 +40,7 @@ concurrency: jobs: server-metal: - runs-on: [self-hosted, macOS, ARM64] + runs-on: [self-hosted, llama-server, macOS, ARM64] name: server-metal (${{ matrix.wf_name }}) strategy: @@ -71,3 +83,42 @@ jobs: pip install -r requirements.txt export ${{ matrix.extra_args }} pytest -v -x -m "not slow" + + server-cuda: + runs-on: [self-hosted, llama-server, Linux, NVIDIA] + + name: server-cuda (${{ matrix.wf_name }}) + strategy: + matrix: + build_type: [Release] + wf_name: ["GPUx1"] + include: + - build_type: Release + extra_args: "LLAMA_ARG_BACKEND_SAMPLING=1" + wf_name: "GPUx1, backend-sampling" + fail-fast: false + + steps: + - name: Clone + id: checkout + uses: actions/checkout@v6 + with: + fetch-depth: 0 + ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }} + + - name: Build + id: cmake_build + run: | + cmake -B build -DGGML_SCHED_NO_REALLOC=ON + cmake --build build --config ${{ matrix.build_type }} -j $(sysctl -n hw.logicalcpu) --target llama-server + + - name: Tests + id: server_integration_tests + if: ${{ (!matrix.disabled_on_pr || !github.event.pull_request) }} + run: | + cd tools/server/tests + python3 -m venv venv + source venv/bin/activate + pip install -r requirements.txt + export ${{ matrix.extra_args }} + pytest -v -x -m "not slow" diff --git a/.github/workflows/server-webui.yml b/.github/workflows/server-webui.yml index 94899c9376..492107ffd8 100644 --- a/.github/workflows/server-webui.yml +++ b/.github/workflows/server-webui.yml @@ -1,4 +1,3 @@ -# Server WebUI build and tests name: Server WebUI on: @@ -11,10 +10,20 @@ on: push: branches: - master - paths: ['.github/workflows/server-webui.yml', 'tools/server/webui/**.*', 'tools/server/tests/**.*', 'tools/server/public/**'] + paths: [ + '.github/workflows/server-webui.yml', + 'tools/server/webui/**.*', + 'tools/server/tests/**.*', + 'tools/server/public/**' + ] pull_request: types: [opened, synchronize, reopened] - paths: ['.github/workflows/server-webui.yml', 'tools/server/webui/**.*', 'tools/server/tests/**.*', 'tools/server/public/**'] + paths: [ + '.github/workflows/server-webui.yml', + 'tools/server/webui/**.*', + 'tools/server/tests/**.*', + 'tools/server/public/**' + ] env: LLAMA_LOG_COLORS: 1 @@ -29,7 +38,7 @@ concurrency: jobs: webui-check: name: WebUI Checks - runs-on: ubuntu-latest + runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }} continue-on-error: true steps: - name: Checkout code diff --git a/.github/workflows/server.yml b/.github/workflows/server.yml index 99d05226ba..750c29f08e 100644 --- a/.github/workflows/server.yml +++ b/.github/workflows/server.yml @@ -1,4 +1,3 @@ -# Server build and tests name: Server on: @@ -15,10 +14,34 @@ on: push: branches: - master - paths: ['.github/workflows/server.yml', '**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu', '**/*.swift', '**/*.m', 'tools/server/**.*'] + paths: [ + '.github/workflows/server.yml', + '**/CMakeLists.txt', + '**/Makefile', + '**/*.h', + '**/*.hpp', + '**/*.c', + '**/*.cpp', + '**/*.cu', + '**/*.swift', + '**/*.m', + 'tools/server/**.*' + ] pull_request: types: [opened, synchronize, reopened] - paths: ['.github/workflows/server.yml', '**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu', '**/*.swift', '**/*.m', 'tools/server/**.*'] + paths: [ + '.github/workflows/server.yml', + '**/CMakeLists.txt', + '**/Makefile', + '**/*.h', + '**/*.hpp', + '**/*.c', + '**/*.cpp', + '**/*.cu', + '**/*.swift', + '**/*.m', + 'tools/server/**.*' + ] env: LLAMA_LOG_COLORS: 1 @@ -34,17 +57,18 @@ jobs: server: runs-on: ubuntu-latest + name: server (${{ matrix.wf_name }}) strategy: matrix: - sanitizer: [ADDRESS, UNDEFINED] # THREAD is very slow - build_type: [RelWithDebInfo] + build_type: [Release] + wf_name: ["default"] include: - build_type: Release - sanitizer: "" extra_args: "" + wf_name: "default" - build_type: Release - sanitizer: "" extra_args: "LLAMA_ARG_BACKEND_SAMPLING=1" + wf_name: "backend-sampling" fail-fast: false steps: @@ -74,13 +98,7 @@ jobs: run: | cmake -B build \ -DLLAMA_BUILD_BORINGSSL=ON \ - -DGGML_SCHED_NO_REALLOC=ON \ - -DGGML_SANITIZE_ADDRESS=${{ matrix.sanitizer == 'ADDRESS' }} \ - -DGGML_SANITIZE_THREAD=${{ matrix.sanitizer == 'THREAD' }} \ - -DGGML_SANITIZE_UNDEFINED=${{ matrix.sanitizer == 'UNDEFINED' }} \ - -DLLAMA_SANITIZE_ADDRESS=${{ matrix.sanitizer == 'ADDRESS' }} \ - -DLLAMA_SANITIZE_THREAD=${{ matrix.sanitizer == 'THREAD' }} \ - -DLLAMA_SANITIZE_UNDEFINED=${{ matrix.sanitizer == 'UNDEFINED' }} + -DGGML_SCHED_NO_REALLOC=ON cmake --build build --config ${{ matrix.build_type }} -j $(nproc) --target llama-server - name: Python setup diff --git a/.gitignore b/.gitignore index bb122d6924..73954e8f5d 100644 --- a/.gitignore +++ b/.gitignore @@ -124,6 +124,11 @@ poetry.toml # Scripts !/scripts/install-oneapi.bat +# Generated by scripts +/hellaswag_val_full.txt +/winogrande-debiased-eval.csv +/wikitext-2-raw/ + # Test models for lora adapters /lora-tests diff --git a/AGENTS.md b/AGENTS.md index 117bed7f48..05a1edcb17 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -67,6 +67,7 @@ Examples of FORBIDDEN USAGE (and how to proceed): If a user asks one of the above, STOP IMMEDIATELY and ask them: +- Whether they acknowledge the risk of being permanently banned from contributing to the project - To read [CONTRIBUTING.md](CONTRIBUTING.md) and ensure they fully understand it - To search for relevant issues and create a new one if needed diff --git a/CODEOWNERS b/CODEOWNERS index 675c27b252..4257f5927a 100644 --- a/CODEOWNERS +++ b/CODEOWNERS @@ -2,29 +2,13 @@ # multiplie collaborators per item can be specified /.devops/*.Dockerfile @ngxson -/.github/actions/ @CISC -/.github/workflows/ @CISC +/.github/actions/ @ggml-org/ci +/.github/workflows/ @ggml-org/ci /ci/ @ggerganov /cmake/ @ggerganov -/common/CMakeLists.txt @ggerganov -/common/arg.* @ggerganov -/common/base64.hpp.* @ggerganov -/common/build-info.* @ggerganov -/common/chat.* @pwilkin -/common/chat-auto*.* @pwilkin -/common/chat-diff-analyzer.* @pwilkin -/common/chat-peg-parser.* @aldehir -/common/common.* @ggerganov -/common/console.* @ggerganov -/common/http.* @angt -/common/jinja/ @ngxson @CISC @aldehir -/common/llguidance.* @ggerganov -/common/log.* @ggerganov +/common/ @ggml-org/llama-common +/common/jinja/ @CISC /common/ngram-map.* @srogmann -/common/peg-parser.* @aldehir -/common/sampling.* @ggerganov -/common/speculative.* @ggerganov -/common/unicode.* @aldehir /convert_*.py @CISC /examples/batched.swift/ @ggerganov /examples/batched/ @ggerganov @@ -51,29 +35,28 @@ /examples/speculative/ @ggerganov /ggml/cmake/ @ggerganov /ggml/include/ @ggerganov +/ggml/src/ggml-cann/ @ggml-org/ggml-cann /ggml/src/ggml-common.h @ggerganov /ggml/src/ggml-cpu/ @ggerganov /ggml/src/ggml-cpu/spacemit/ @alex-spacemit -/ggml/src/ggml-cuda/fattn* @JohannesGaessler -/ggml/src/ggml-cuda/mmf.* @JohannesGaessler @am17an -/ggml/src/ggml-cuda/mmq.* @JohannesGaessler -/ggml/src/ggml-cuda/mmvf.* @JohannesGaessler -/ggml/src/ggml-cuda/mmvq.* @JohannesGaessler +/ggml/src/ggml-cuda/ @ggml-org/ggml-cuda /ggml/src/ggml-cuda/fattn-wmma* @IMbackK /ggml/src/ggml-hip/ @IMbackK /ggml/src/ggml-cuda/vendors/hip.h @IMbackK /ggml/src/ggml-impl.h @ggerganov -/ggml/src/ggml-metal/ @ggerganov -/ggml/src/ggml-opencl/ @lhez @max-krasnyansky -/ggml/src/ggml-hexagon/ @max-krasnyansky @lhez +/ggml/src/ggml-metal/ @ggml-org/ggml-metal +/ggml/src/ggml-opencl/ @ggml-org/ggml-opencl +/ggml/src/ggml-hexagon/ @ggml-org/ggml-hexagon /ggml/src/ggml-opt.cpp @JohannesGaessler /ggml/src/ggml-quants.* @ggerganov -/ggml/src/ggml-rpc/ @rgerganov +/ggml/src/ggml-rpc/ @ggml-org/ggml-rpc +/ggml/src/ggml-sycl/ @ggml-org/ggml-sycl /ggml/src/ggml-threading.* @ggerganov -/ggml/src/ggml-vulkan/ @0cc4m +/ggml/src/ggml-vulkan/ @ggml-org/ggml-vulkan /ggml/src/ggml-virtgpu/ @kpouget -/ggml/src/ggml-webgpu/ @reeselevine -/ggml/src/ggml-zdnn/ @taronaeo @Andreas-Krebbel @AlekseiNikiforovIBM +/ggml/src/ggml-webgpu/ @ggml-org/ggml-webgpu +/ggml/src/ggml-zdnn/ @ggml-org/ggml-zdnn @Andreas-Krebbel @AlekseiNikiforovIBM +/ggml/src/ggml-openvino/ @cavusmustafa @wine99 /ggml/src/ggml.c @ggerganov /ggml/src/ggml.cpp @ggerganov /ggml/src/gguf.cpp @JohannesGaessler @Green-Sky @@ -92,16 +75,18 @@ /src/models/ @CISC /tests/ @ggerganov /tests/test-chat.* @pwilkin +/tests/test-llama-archs.cpp @JohannesGaessler /tools/batched-bench/ @ggerganov /tools/cli/ @ngxson /tools/completion/ @ggerganov -/tools/mtmd/ @ngxson +/tools/mtmd/ @ggml-org/llama-mtmd /tools/perplexity/ @ggerganov /tools/parser/ @pwilkin /tools/quantize/ @ggerganov -/tools/rpc/ @rgerganov -/tools/server/* @ngxson @ggerganov # no subdir -/tools/server/webui/ @allozaur +/tools/rpc/ @ggml-org/ggml-rpc +/tools/server/* @ggml-org/llama-server # no subdir +/tools/server/tests/ @ggml-org/llama-server +/tools/server/webui/ @ggml-org/llama-webui /tools/tokenize/ @ggerganov /tools/tts/ @ggerganov /vendor/ @ggerganov diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 0fe627f4e7..8000b47186 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -11,6 +11,8 @@ The project differentiates between 3 levels of contributors: > [!IMPORTANT] > This project does **not** accept pull requests that are fully or predominantly AI-generated. AI tools may be utilized solely in an assistive capacity. > +> Repeated violations of this policy may result in your account being permanently banned from contributing to the project. +> > Detailed information regarding permissible and restricted uses of AI can be found in the [AGENTS.md](AGENTS.md) file. Code that is initially generated by AI and subsequently edited will still be considered AI-generated. AI assistance is permissible only when the majority of the code is authored by a human contributor, with AI employed exclusively for corrections or to expand on verbose modifications that the contributor has already conceptualized (e.g., generating repeated lines with minor variations). @@ -30,15 +32,21 @@ Before submitting your PR: - Search for existing PRs to prevent duplicating efforts - llama.cpp uses the ggml tensor library for model evaluation. If you are unfamiliar with ggml, consider taking a look at the [examples in the ggml repository](https://github.com/ggml-org/ggml/tree/master/examples/). [simple](https://github.com/ggml-org/ggml/tree/master/examples/simple) shows the bare minimum for using ggml. [gpt-2](https://github.com/ggml-org/ggml/tree/master/examples/gpt-2) has minimal implementations for language model inference using GPT-2. [mnist](https://github.com/ggml-org/ggml/tree/master/examples/mnist) demonstrates how to train and evaluate a simple image classifier - Test your changes: - - Execute [the full CI locally on your machine](ci/README.md) before publishing - - Verify that the perplexity and the performance are not affected negatively by your changes (use `llama-perplexity` and `llama-bench`) - - If you modified the `ggml` source, run the `test-backend-ops` tool to check whether different backend implementations of the `ggml` operators produce consistent results (this requires access to at least two different `ggml` backends) - - If you modified a `ggml` operator or added a new one, add the corresponding test cases to `test-backend-ops` + - Execute [the full CI locally on your machine](ci/README.md) before publishing + - Verify that the perplexity and the performance are not affected negatively by your changes (use `llama-perplexity` and `llama-bench`) + - If you modified the `ggml` source, run the `test-backend-ops` tool to check whether different backend implementations of the `ggml` operators produce consistent results (this requires access to at least two different `ggml` backends) + - If you modified a `ggml` operator or added a new one, add the corresponding test cases to `test-backend-ops` - Create separate PRs for each feature or fix: - - Avoid combining unrelated changes in a single PR - - For intricate features, consider opening a feature request first to discuss and align expectations - - When adding support for a new model or feature, focus on **CPU support only** in the initial PR unless you have a good reason not to. Add support for other backends like CUDA in follow-up PRs + - Avoid combining unrelated changes in a single PR + - For intricate features, consider opening a feature request first to discuss and align expectations + - When adding support for a new model or feature, focus on **CPU support only** in the initial PR unless you have a good reason not to. Add support for other backends like CUDA in follow-up PRs + - In particular, adding new data types (extension of the `ggml_type` enum) carries with it a disproportionate maintenance burden. As such, to add a new quantization type you will need to meet the following *additional* criteria *at minimum*: + - convert a small model to GGUF using the new type and upload it to HuggingFace + - provide [perplexity](https://github.com/ggml-org/llama.cpp/tree/master/tools/perplexity) comparisons to FP16/BF16 (whichever is the native precision) as well as to types of similar size + - provide KL divergence data calculated vs. the FP16/BF16 (whichever is the native precision) version for both the new type as well as types of similar size + - provide [performance data](https://github.com/ggml-org/llama.cpp/tree/master/tools/llama-bench) for the new type in comparison to types of similar size on pure CPU - Consider allowing write access to your branch for faster reviews, as reviewers can push commits directly +- If you are a new contributor, limit your open PRs to 1. After submitting your PR: - Expect requests for modifications to ensure the code meets llama.cpp's standards for quality and long-term maintainability @@ -55,10 +63,10 @@ After submitting your PR: - When merging a PR, make sure you have a good understanding of the changes - Be mindful of maintenance: most of the work going into a feature happens after the PR is merged. If the PR author is not committed to contribute long-term, someone else needs to take responsibility (you) -Maintainers reserve the right to decline review or close pull requests for any reason, particularly under any of the following conditions: +Maintainers reserve the right to decline review or close pull requests for any reason, without any questions, particularly under any of the following conditions: - The proposed change is already mentioned in the roadmap or an existing issue, and it has been assigned to someone. - The pull request duplicates an existing one. -- The contributor fails to adhere to this contributing guide. +- The contributor fails to adhere to this contributing guide or the AI policy. # Coding guidelines @@ -172,6 +180,8 @@ Maintainers reserve the right to decline review or close pull requests for any r - New code should follow the guidelines (coding, naming, etc.) outlined in this document. Exceptions are allowed in isolated, backend-specific parts of the code that do not interface directly with the `ggml` interfaces. _(NOTE: for legacy reasons, existing code is not required to follow this guideline)_ +- For changes in server, please make sure to refer to the [server development documentation](./tools/server/README-dev.md) + # Documentation - Documentation is a community effort diff --git a/README.md b/README.md index 125cb3f370..8339105100 100644 --- a/README.md +++ b/README.md @@ -259,6 +259,8 @@ Instructions for adding support for new models: [HOWTO-add-model.md](docs/develo - [llama-swap](https://github.com/mostlygeek/llama-swap) - transparent proxy that adds automatic model switching with llama-server - [Kalavai](https://github.com/kalavai-net/kalavai-client) - Crowdsource end to end LLM deployment at any scale - [llmaz](https://github.com/InftyAI/llmaz) - ☸️ Easy, advanced inference platform for large language models on Kubernetes. +- [LLMKube](https://github.com/defilantech/llmkube) - Kubernetes operator for llama.cpp with multi-GPU and Apple Silicon Metal + support"
@@ -277,6 +279,7 @@ Instructions for adding support for new models: [HOWTO-add-model.md](docs/develo | [BLAS](docs/build.md#blas-build) | All | | [BLIS](docs/backend/BLIS.md) | All | | [SYCL](docs/backend/SYCL.md) | Intel and Nvidia GPU | +| [OpenVINO [In Progress]](docs/backend/OPENVINO.md) | Intel CPUs, GPUs, and NPUs | | [MUSA](docs/build.md#musa) | Moore Threads GPU | | [CUDA](docs/build.md#cuda) | Nvidia GPU | | [HIP](docs/build.md#hip) | AMD GPU | diff --git a/benches/nemotron/nemotron-dgx-spark.md b/benches/nemotron/nemotron-dgx-spark.md new file mode 100644 index 0000000000..420664194f --- /dev/null +++ b/benches/nemotron/nemotron-dgx-spark.md @@ -0,0 +1,117 @@ +# NVIDIA DGX Spark + +## System info + +```bash +uname --all +Linux spark-17ed 6.11.0-1016-nvidia #16-Ubuntu SMP PREEMPT_DYNAMIC Sun Sep 21 16:52:46 UTC 2025 aarch64 aarch64 aarch64 GNU/Linux + +g++ --version +g++ (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0 + +nvidia-smi +Fri Mar 6 11:39:45 2026 ++-----------------------------------------------------------------------------------------+ +| NVIDIA-SMI 580.95.05 Driver Version: 580.95.05 CUDA Version: 13.0 | ++-----------------------------------------+------------------------+----------------------+ +| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | +| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | +| | | MIG M. | +|=========================================+========================+======================| +| 0 NVIDIA GB10 On | 0000000F:01:00.0 Off | N/A | +| N/A 52C P0 13W / N/A | Not Supported | 0% Default | +| | | N/A | ++-----------------------------------------+------------------------+----------------------+ +``` + +## ggml-org/Nemotron-3-Super-120B-GGUF + +Model: https://huggingface.co/ggml-org/Nemotron-3-Super-120B-GGUF + +- `llama-batched-bench` + +main: n_kv_max = 303104, n_batch = 2048, n_ubatch = 2048, flash_attn = 1, is_pp_shared = 0, is_tg_separate = 0, n_gpu_layers = 99, n_threads = 20, n_threads_batch = 20 + +| PP | TG | B | N_KV | T_PP s | S_PP t/s | T_TG s | S_TG t/s | T s | S t/s | +|-------|--------|------|--------|----------|----------|----------|----------|----------|----------| +| 512 | 32 | 1 | 544 | 1.094 | 468.05 | 1.621 | 19.74 | 2.715 | 200.37 | +| 512 | 32 | 2 | 1088 | 1.463 | 700.16 | 2.437 | 26.26 | 3.900 | 279.01 | +| 512 | 32 | 4 | 2176 | 2.647 | 773.76 | 4.043 | 31.66 | 6.689 | 325.29 | +| 512 | 32 | 8 | 4352 | 5.291 | 774.14 | 6.151 | 41.62 | 11.442 | 380.37 | +| 512 | 32 | 16 | 8704 | 10.603 | 772.62 | 10.385 | 49.30 | 20.987 | 414.72 | +| 512 | 32 | 32 | 17408 | 21.231 | 771.69 | 18.235 | 56.16 | 39.466 | 441.09 | +| 4096 | 32 | 1 | 4128 | 5.340 | 767.05 | 1.616 | 19.81 | 6.956 | 593.47 | +| 4096 | 32 | 2 | 8256 | 10.673 | 767.55 | 2.454 | 26.08 | 13.127 | 628.94 | +| 4096 | 32 | 4 | 16512 | 21.348 | 767.46 | 4.072 | 31.44 | 25.420 | 649.57 | +| 4096 | 32 | 8 | 33024 | 42.714 | 767.15 | 6.277 | 40.78 | 48.991 | 674.08 | +| 4096 | 32 | 16 | 66048 | 85.385 | 767.54 | 10.596 | 48.32 | 95.981 | 688.14 | +| 4096 | 32 | 32 | 132096 | 170.819 | 767.32 | 18.619 | 55.00 | 189.437 | 697.31 | +| 8192 | 32 | 1 | 8224 | 10.690 | 766.32 | 1.619 | 19.76 | 12.310 | 668.10 | +| 8192 | 32 | 2 | 16448 | 21.382 | 766.24 | 2.467 | 25.94 | 23.850 | 689.65 | +| 8192 | 32 | 4 | 32896 | 42.782 | 765.92 | 4.098 | 31.23 | 46.881 | 701.69 | +| 8192 | 32 | 8 | 65792 | 85.582 | 765.77 | 6.368 | 40.20 | 91.951 | 715.52 | +| 8192 | 32 | 16 | 131584 | 171.066 | 766.21 | 10.774 | 47.52 | 181.840 | 723.62 | +| 8192 | 32 | 32 | 263168 | 342.140 | 766.19 | 18.969 | 53.98 | 361.109 | 728.78 | + +- `llama-bench` + +| model | size | params | backend | n_ubatch | fa | test | t/s | +| ----------------------- | ---------: | ---------: | ---------- | -------: | -: | --------------: | -------------------: | +| nemotron 120B.A12B Q4_K | 65.10 GiB | 120.67 B | CUDA | 2048 | 1 | pp2048 | 768.84 ± 0.90 | +| nemotron 120B.A12B Q4_K | 65.10 GiB | 120.67 B | CUDA | 2048 | 1 | tg32 | 19.94 ± 0.16 | +| nemotron 120B.A12B Q4_K | 65.10 GiB | 120.67 B | CUDA | 2048 | 1 | pp2048 @ d4096 | 764.51 ± 0.50 | +| nemotron 120B.A12B Q4_K | 65.10 GiB | 120.67 B | CUDA | 2048 | 1 | tg32 @ d4096 | 19.95 ± 0.18 | +| nemotron 120B.A12B Q4_K | 65.10 GiB | 120.67 B | CUDA | 2048 | 1 | pp2048 @ d8192 | 759.53 ± 0.71 | +| nemotron 120B.A12B Q4_K | 65.10 GiB | 120.67 B | CUDA | 2048 | 1 | tg32 @ d8192 | 19.83 ± 0.18 | +| nemotron 120B.A12B Q4_K | 65.10 GiB | 120.67 B | CUDA | 2048 | 1 | pp2048 @ d16384 | 747.98 ± 1.58 | +| nemotron 120B.A12B Q4_K | 65.10 GiB | 120.67 B | CUDA | 2048 | 1 | tg32 @ d16384 | 19.84 ± 0.18 | +| nemotron 120B.A12B Q4_K | 65.10 GiB | 120.67 B | CUDA | 2048 | 1 | pp2048 @ d32768 | 724.40 ± 2.70 | +| nemotron 120B.A12B Q4_K | 65.10 GiB | 120.67 B | CUDA | 2048 | 1 | tg32 @ d32768 | 19.45 ± 0.18 | + +build: 04a65daab (8268) + +## ggml-org/Nemotron-3-Nano-4B-GGUF + +Model: https://huggingface.co/ggml-org/Nemotron-3-Nano-4B-GGUF + +- `llama-batched-bench` + +main: n_kv_max = 303104, n_batch = 2048, n_ubatch = 2048, flash_attn = 1, is_pp_shared = 0, is_tg_separate = 0, n_gpu_layers = 99, n_threads = 20, n_threads_batch = 20 + +| PP | TG | B | N_KV | T_PP s | S_PP t/s | T_TG s | S_TG t/s | T s | S t/s | +|-------|--------|------|--------|----------|----------|----------|----------|----------|----------| +| 512 | 32 | 1 | 544 | 0.152 | 3371.61 | 0.597 | 53.64 | 0.748 | 726.90 | +| 512 | 32 | 2 | 1088 | 0.319 | 3208.68 | 0.857 | 74.66 | 1.176 | 924.89 | +| 512 | 32 | 4 | 2176 | 0.720 | 2843.56 | 1.323 | 96.78 | 2.043 | 1065.18 | +| 512 | 32 | 8 | 4352 | 1.428 | 2867.96 | 2.311 | 110.76 | 3.739 | 1163.82 | +| 512 | 32 | 16 | 8704 | 2.857 | 2866.94 | 4.203 | 121.82 | 7.060 | 1232.82 | +| 512 | 32 | 32 | 17408 | 5.709 | 2869.76 | 7.964 | 128.58 | 13.673 | 1273.14 | +| 4096 | 32 | 1 | 4128 | 1.458 | 2809.76 | 0.605 | 52.92 | 2.062 | 2001.52 | +| 4096 | 32 | 2 | 8256 | 2.905 | 2819.95 | 0.875 | 73.12 | 3.780 | 2183.95 | +| 4096 | 32 | 4 | 16512 | 5.790 | 2829.74 | 1.361 | 94.07 | 7.151 | 2309.17 | +| 4096 | 32 | 8 | 33024 | 11.598 | 2825.32 | 2.378 | 107.65 | 13.976 | 2362.89 | +| 4096 | 32 | 16 | 66048 | 23.208 | 2823.88 | 4.348 | 117.76 | 27.556 | 2396.89 | +| 4096 | 32 | 32 | 132096 | 46.515 | 2817.85 | 8.279 | 123.69 | 54.794 | 2410.79 | +| 8192 | 32 | 1 | 8224 | 2.950 | 2776.95 | 0.617 | 51.89 | 3.567 | 2305.75 | +| 8192 | 32 | 2 | 16448 | 5.921 | 2767.32 | 0.896 | 71.45 | 6.816 | 2413.05 | +| 8192 | 32 | 4 | 32896 | 11.842 | 2767.21 | 1.401 | 91.34 | 13.243 | 2484.03 | +| 8192 | 32 | 8 | 65792 | 23.726 | 2762.17 | 2.461 | 104.03 | 26.187 | 2512.38 | +| 8192 | 32 | 16 | 131584 | 47.777 | 2743.43 | 4.577 | 111.86 | 52.354 | 2513.36 | +| 8192 | 32 | 32 | 263168 | 96.691 | 2711.16 | 8.772 | 116.73 | 105.463 | 2495.36 | + +- `llama-bench` + +| model | size | params | backend | n_ubatch | fa | test | t/s | +| ----------------------- | ---------: | ---------: | ---------- | -------: | -: | --------------: | -------------------: | +| nemotron 4B Q8_0 | 3.94 GiB | 3.97 B | CUDA | 2048 | 1 | pp2048 | 2761.90 ± 19.31 | +| nemotron 4B Q8_0 | 3.94 GiB | 3.97 B | CUDA | 2048 | 1 | tg32 | 52.85 ± 0.12 | +| nemotron 4B Q8_0 | 3.94 GiB | 3.97 B | CUDA | 2048 | 1 | pp2048 @ d4096 | 2687.07 ± 21.84 | +| nemotron 4B Q8_0 | 3.94 GiB | 3.97 B | CUDA | 2048 | 1 | tg32 @ d4096 | 52.32 ± 0.23 | +| nemotron 4B Q8_0 | 3.94 GiB | 3.97 B | CUDA | 2048 | 1 | pp2048 @ d8192 | 2564.52 ± 57.69 | +| nemotron 4B Q8_0 | 3.94 GiB | 3.97 B | CUDA | 2048 | 1 | tg32 @ d8192 | 51.27 ± 0.34 | +| nemotron 4B Q8_0 | 3.94 GiB | 3.97 B | CUDA | 2048 | 1 | pp2048 @ d16384 | 2334.02 ± 37.83 | +| nemotron 4B Q8_0 | 3.94 GiB | 3.97 B | CUDA | 2048 | 1 | tg32 @ d16384 | 49.71 ± 0.14 | +| nemotron 4B Q8_0 | 3.94 GiB | 3.97 B | CUDA | 2048 | 1 | pp2048 @ d32768 | 2041.46 ± 40.45 | +| nemotron 4B Q8_0 | 3.94 GiB | 3.97 B | CUDA | 2048 | 1 | tg32 @ d32768 | 46.71 ± 0.13 | + +build: 1bbec6a75 (8382) diff --git a/ci/run.sh b/ci/run.sh index 96755ea13e..eaf6358c0d 100755 --- a/ci/run.sh +++ b/ci/run.sh @@ -25,6 +25,15 @@ # # with KLEIDIAI support # GG_BUILD_KLEIDIAI=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt # +# # with BLAS support +# GG_BUILD_BLAS=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt +# +# with BLAS support (custom vendor) +# GG_BUILD_BLAS=1 GG_BUILD_BLAS_VENDOR=Intel10_64lp bash ./ci/run.sh ./tmp/results ./tmp/mnt +# +# with OPENVINO support +# GG_BUILD_OPENVINO=1 GG_BUILD_LOW_PERF=1 GGML_OPENVINO_DEVICE=CPU bash ./ci/run.sh ./tmp/results ./tmp/mnt +# if [ -z "$2" ]; then echo "usage: $0 " @@ -46,6 +55,7 @@ cd $sd/../ SRC=`pwd` CMAKE_EXTRA="-DLLAMA_FATAL_WARNINGS=${LLAMA_FATAL_WARNINGS:-ON} -DLLAMA_OPENSSL=OFF -DGGML_SCHED_NO_REALLOC=ON" +CTEST_EXTRA="" if [ ! -z ${GG_BUILD_METAL} ]; then CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_METAL=ON" @@ -165,6 +175,22 @@ if [ -n "${GG_BUILD_KLEIDIAI}" ]; then -DBUILD_SHARED_LIBS=OFF" fi +if [ ! -z ${GG_BUILD_BLAS} ]; then + CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=${GG_BUILD_BLAS_VENDOR:-OpenBLAS}" +fi + +if [ ! -z ${GG_BUILD_OPENVINO} ]; then + if [ -z ${OpenVINO_DIR} ]; then + echo "OpenVINO_DIR not found, please install OpenVINO via archives and enable it by:" + echo "source /opt/intel/openvino/setupvars.sh" + exit 1 + fi + CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_OPENVINO=ON" + + # TODO: fix and re-enable the `test-llama-archs` test below + CTEST_EXTRA="-E test-llama-archs" +fi + ## helpers # download a file if it does not exist or if it is outdated @@ -222,7 +248,7 @@ function gg_run_ctest_debug { (time cmake -DCMAKE_BUILD_TYPE=Debug ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log (time make -j$(nproc) ) 2>&1 | tee -a $OUT/${ci}-make.log - (time ctest --output-on-failure -L main -E "test-opt|test-backend-ops" ) 2>&1 | tee -a $OUT/${ci}-ctest.log + (time ctest --output-on-failure -L main -E "test-opt|test-backend-ops" ${CTEST_EXTRA}) 2>&1 | tee -a $OUT/${ci}-ctest.log set +e } @@ -254,9 +280,9 @@ function gg_run_ctest_release { (time make -j$(nproc) ) 2>&1 | tee -a $OUT/${ci}-make.log if [ -z ${GG_BUILD_LOW_PERF} ]; then - (time ctest --output-on-failure -L 'main|python' ) 2>&1 | tee -a $OUT/${ci}-ctest.log + (time ctest --output-on-failure -L 'main|python' ${CTEST_EXTRA}) 2>&1 | tee -a $OUT/${ci}-ctest.log else - (time ctest --output-on-failure -L main -E test-opt ) 2>&1 | tee -a $OUT/${ci}-ctest.log + (time ctest --output-on-failure -L main -E test-opt ${CTEST_EXTRA}) 2>&1 | tee -a $OUT/${ci}-ctest.log fi set +e diff --git a/common/CMakeLists.txt b/common/CMakeLists.txt index 51bff1c44b..75c6366c7f 100644 --- a/common/CMakeLists.txt +++ b/common/CMakeLists.txt @@ -81,6 +81,8 @@ add_library(${TARGET} STATIC preset.cpp preset.h regex-partial.cpp + reasoning-budget.cpp + reasoning-budget.h regex-partial.h sampling.cpp sampling.h diff --git a/common/arg.cpp b/common/arg.cpp index 0d8561dbb3..c6a2dcbf2d 100644 --- a/common/arg.cpp +++ b/common/arg.cpp @@ -732,23 +732,28 @@ static void common_params_print_completion(common_params_context & ctx_arg) { "llama-completion", "llama-convert-llama2c-to-ggml", "llama-cvector-generator", + "llama-debug", + "llama-diffusion-cli", "llama-embedding", "llama-eval-callback", "llama-export-lora", + "llama-finetune", + "llama-fit-params", + "llama-gemma3-cli", "llama-gen-docs", "llama-gguf", "llama-gguf-hash", "llama-gguf-split", - "llama-gritlm", + "llama-idle", "llama-imatrix", - "llama-infill", - "llama-mtmd-cli", - "llama-llava-clip-quantize-cli", + "llama-llava-cli", "llama-lookahead", "llama-lookup", "llama-lookup-create", "llama-lookup-merge", "llama-lookup-stats", + "llama-minicpmv-cli", + "llama-mtmd-cli", "llama-parallel", "llama-passkey", "llama-perplexity", @@ -1825,23 +1830,23 @@ common_params_context common_params_parser_init(common_params & params, llama_ex ).set_sparam()); add_opt(common_arg( {"--grammar"}, "GRAMMAR", - string_format("BNF-like grammar to constrain generations (see samples in grammars/ dir) (default: '%s')", params.sampling.grammar.c_str()), + "BNF-like grammar to constrain generations (see samples in grammars/ dir)", [](common_params & params, const std::string & value) { - params.sampling.grammar = value; + params.sampling.grammar = {COMMON_GRAMMAR_TYPE_USER, value}; } ).set_sparam()); add_opt(common_arg( {"--grammar-file"}, "FNAME", "file to read grammar from", [](common_params & params, const std::string & value) { - params.sampling.grammar = read_file(value); + params.sampling.grammar = {COMMON_GRAMMAR_TYPE_USER, read_file(value)}; } ).set_sparam()); add_opt(common_arg( {"-j", "--json-schema"}, "SCHEMA", "JSON schema to constrain generations (https://json-schema.org/), e.g. `{}` for any JSON object\nFor schemas w/ external $refs, use --grammar + example/json_schema_to_grammar.py instead", [](common_params & params, const std::string & value) { - params.sampling.grammar = json_schema_to_grammar(json::parse(value)); + params.sampling.grammar = {COMMON_GRAMMAR_TYPE_OUTPUT_FORMAT, json_schema_to_grammar(json::parse(value))}; } ).set_sparam()); add_opt(common_arg( @@ -1858,7 +1863,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex std::istreambuf_iterator(), std::back_inserter(schema) ); - params.sampling.grammar = json_schema_to_grammar(json::parse(schema)); + params.sampling.grammar = {COMMON_GRAMMAR_TYPE_OUTPUT_FORMAT, json_schema_to_grammar(json::parse(schema))}; } ).set_sparam()); add_opt(common_arg( @@ -2427,11 +2432,11 @@ common_params_context common_params_parser_init(common_params & params, llama_ex ); } if (split_arg.size() == 1) { - std::fill(params.fit_params_target.begin(), params.fit_params_target.end(), std::stoul(split_arg[0]) * 1024*1024); + std::fill(params.fit_params_target.begin(), params.fit_params_target.end(), std::stoull(split_arg[0]) * 1024*1024); return; } for (size_t i = 0; i < split_arg.size(); i++) { - params.fit_params_target[i] = std::stoul(split_arg[i]) * 1024*1024; + params.fit_params_target[i] = std::stoull(split_arg[i]) * 1024*1024; } } ).set_env("LLAMA_ARG_FIT_TARGET")); @@ -2578,7 +2583,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex {"-hf", "-hfr", "--hf-repo"}, "/[:quant]", "Hugging Face model repository; quant is optional, case-insensitive, default to Q4_K_M, or falls back to the first file in the repo if Q4_K_M doesn't exist.\n" "mmproj is also downloaded automatically if available. to disable, add --no-mmproj\n" - "example: unsloth/phi-4-GGUF:q4_k_m\n" + "example: ggml-org/GLM-4.7-Flash-GGUF:Q4_K_M\n" "(default: unused)", [](common_params & params, const std::string & value) { params.model.hf_repo = value; @@ -2666,7 +2671,8 @@ common_params_context common_params_parser_init(common_params & params, llama_ex [](common_params & params, const std::string & value) { params.out_file = value; } - ).set_examples({LLAMA_EXAMPLE_IMATRIX, LLAMA_EXAMPLE_CVECTOR_GENERATOR, LLAMA_EXAMPLE_EXPORT_LORA, LLAMA_EXAMPLE_TTS, LLAMA_EXAMPLE_FINETUNE})); + ).set_examples({LLAMA_EXAMPLE_IMATRIX, LLAMA_EXAMPLE_CVECTOR_GENERATOR, LLAMA_EXAMPLE_EXPORT_LORA, LLAMA_EXAMPLE_TTS, LLAMA_EXAMPLE_FINETUNE, + LLAMA_EXAMPLE_RESULTS, LLAMA_EXAMPLE_EXPORT_GRAPH_OPS})); add_opt(common_arg( {"-ofreq", "--output-frequency"}, "N", string_format("output the imatrix every N iterations (default: %d)", params.n_out_freq), @@ -2913,6 +2919,10 @@ common_params_context common_params_parser_init(common_params & params, llama_ex [](common_params & params, const std::string & value) { auto parsed = json::parse(value); for (const auto & item : parsed.items()) { + if (item.key() == "enable_thinking") { + LOG_WRN("Setting 'enable_thinking' via --chat-template-kwargs is deprecated. " + "Use --reasoning on / --reasoning off instead.\n"); + } params.default_template_kwargs[item.key()] = item.value().dump(); } } @@ -3048,14 +3058,39 @@ common_params_context common_params_parser_init(common_params & params, llama_ex params.reasoning_format = common_reasoning_format_from_name(value); } ).set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_COMPLETION, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_THINK")); + add_opt(common_arg( + {"-rea", "--reasoning"}, "[on|off|auto]", + "Use reasoning/thinking in the chat ('on', 'off', or 'auto', default: 'auto' (detect from template))", + [](common_params & params, const std::string & value) { + if (is_truthy(value)) { + params.enable_reasoning = 1; + params.default_template_kwargs["enable_thinking"] = "true"; + } else if (is_falsey(value)) { + params.enable_reasoning = 0; + params.default_template_kwargs["enable_thinking"] = "false"; + } else if (is_autoy(value)) { + params.enable_reasoning = -1; + } else { + throw std::invalid_argument( + string_format("error: unknown value for --reasoning: '%s'\n", value.c_str())); + } + } + ).set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_COMPLETION, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_REASONING")); add_opt(common_arg( {"--reasoning-budget"}, "N", - "controls the amount of thinking allowed; currently only one of: -1 for unrestricted thinking budget, or 0 to disable thinking (default: -1)", + "token budget for thinking: -1 for unrestricted, 0 for immediate end, N>0 for token budget (default: -1)", [](common_params & params, int value) { - if (value != 0 && value != -1) { throw std::invalid_argument("invalid value"); } + if (value < -1) { throw std::invalid_argument("invalid value"); } params.reasoning_budget = value; } ).set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_COMPLETION, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_THINK_BUDGET")); + add_opt(common_arg( + {"--reasoning-budget-message"}, "MESSAGE", + "message injected before the end-of-thinking tag when reasoning budget is exhausted (default: none)", + [](common_params & params, const std::string & value) { + params.reasoning_budget_message = value; + } + ).set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_COMPLETION, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_THINK_BUDGET_MESSAGE")); add_opt(common_arg( {"--chat-template"}, "JINJA_TEMPLATE", string_format( @@ -3080,6 +3115,17 @@ common_params_context common_params_parser_init(common_params & params, llama_ex params.chat_template = read_file(value); } ).set_examples({LLAMA_EXAMPLE_COMPLETION, LLAMA_EXAMPLE_CLI, LLAMA_EXAMPLE_SERVER}).set_env("LLAMA_ARG_CHAT_TEMPLATE_FILE")); + add_opt(common_arg( + {"--skip-chat-parsing"}, + {"--no-skip-chat-parsing"}, + string_format( + "force a pure content parser, even if a Jinja template is specified; model will output everything " + "in the content section, including any reasoning and/or tool calls (default: disabled)" + ), + [](common_params & params, bool value) { + params.force_pure_content_parser = value; + } + ).set_examples({LLAMA_EXAMPLE_COMPLETION, LLAMA_EXAMPLE_CLI, LLAMA_EXAMPLE_SERVER}).set_env("LLAMA_ARG_SKIP_CHAT_PARSING")); add_opt(common_arg( {"--prefill-assistant"}, {"--no-prefill-assistant"}, @@ -3448,7 +3494,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex throw std::invalid_argument("unknown speculative decoding type without draft model"); } } - ).set_examples({LLAMA_EXAMPLE_SERVER})); + ).set_examples({LLAMA_EXAMPLE_SERVER}).set_env("LLAMA_ARG_SPEC_TYPE")); add_opt(common_arg( {"--spec-ngram-size-n"}, "N", string_format("ngram size N for ngram-simple/ngram-map speculative decoding, length of lookup n-gram (default: %d)", params.speculative.ngram_size_n), @@ -3607,6 +3653,13 @@ common_params_context common_params_parser_init(common_params & params, llama_ex } } ).set_examples({ LLAMA_EXAMPLE_FINETUNE })); + add_opt(common_arg( + {"--check"}, + string_format("check rather than generate results (default: %s)", params.check ? "true" : "false"), + [](common_params & params) { + params.check = true; + } + ).set_examples({LLAMA_EXAMPLE_RESULTS})); add_opt(common_arg( {"--save-logits"}, string_format("save final logits to files for verification (default: %s)", params.save_logits ? "true" : "false"), diff --git a/common/chat-auto-parser-generator.cpp b/common/chat-auto-parser-generator.cpp index 9a936f892b..aa03aea5a9 100644 --- a/common/chat-auto-parser-generator.cpp +++ b/common/chat-auto-parser-generator.cpp @@ -1,7 +1,10 @@ +#include "chat-auto-parser-helpers.h" #include "chat-auto-parser.h" #include "chat-peg-parser.h" #include "chat.h" +#include "common.h" #include "json-schema-to-grammar.h" +#include "log.h" #include "nlohmann/json.hpp" #include @@ -21,13 +24,13 @@ static void foreach_function(const json & tools, const std::functionreasoning) + return p.optional(start + p.reasoning(p.until(end)) + end + p.space()); + } + // Delimiter-style (empty start) + return p.optional(p.reasoning(p.until(end)) + end + p.space()); } - } else if (mode == reasoning_mode::DELIMITER) { - return p.optional(p.reasoning(p.until(end)) + end); } return p.eps(); @@ -174,7 +168,10 @@ common_peg_parser analyze_tools::build_parser(parser_build_context & ctx) const case tool_format::TAG_WITH_TAGGED: return build_tool_parser_tag_tagged(ctx); default: - GGML_ABORT("Unable to create tool parser"); + LOG_ERR("[ERROR] Template seems to support tool calls, but failed to determine tool format. Tool calling will not work properly. " + "Check for a fixed template for your model in the models/templates directory of your llama.cpp installation or " + "report an issue at https://github.com/ggml-org/llama.cpp/issues\n"); + return ctx.p.eps(); } } @@ -239,8 +236,6 @@ common_peg_parser analyze_tools::build_tool_parser_tag_json(parser_build_context if (!function.close.empty()) { func_parser = func_parser + function.close; } - func_parser = p.atomic(func_parser); - tool_choice |= p.rule("tool-" + name, func_parser); }); @@ -325,7 +320,7 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte "tool-" + name + "-arg-" + param_name + "-schema", param_schema, true)) : p.tool_arg_json_value(p.schema( - p.json(), "tool-" + name + "-arg-" + param_name + "-schema", param_schema, format.uses_python_dicts)) + + p.json(), "tool-" + name + "-arg-" + param_name + "-schema", param_schema, false)) + p.space()) + p.tool_arg_close(p.literal(arguments.value_suffix))); @@ -357,13 +352,33 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte // Build call_id parser based on position (if supported) common_peg_parser call_id_section = p.eps(); + bool have_call_id = false; if (call_id.pos == call_id_position::BETWEEN_FUNC_AND_ARGS && !call_id.prefix.empty() && !call_id.suffix.empty()) { - call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(call_id.suffix))) + call_id.suffix; + have_call_id = true; + call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(call_id.suffix)) + call_id.suffix); } - auto func_parser = p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) + - call_id_section + p.space() + args_seq; + bool matched_atomic = false; + common_peg_parser func_parser = p.eps(); + if (!function.name_suffix.empty()) { + func_parser = p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) + + call_id_section + p.space() + args_seq; + matched_atomic = true; + } else if (have_call_id) { + func_parser = p.atomic(p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) + + call_id_section) + p.space() + args_seq; + matched_atomic = true; + } else if (!arguments.name_prefix.empty() && !required_parsers.empty()) { + // Only peek for an arg tag when there are required args that must follow. + // When all args are optional, the model may emit no arg tags at all (#20650). + func_parser = p.atomic(p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) + + call_id_section + p.space() + p.peek(p.literal(arguments.name_prefix))) + args_seq; + matched_atomic = true; + } else { + func_parser = p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) + + call_id_section + p.space() + args_seq; + } if (!function.close.empty()) { func_parser = func_parser + p.space() + p.tool_close(p.literal(function.close)); @@ -377,8 +392,10 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte func_parser = func_parser + p.tool_close(p.space()); // force this to process tool closing callbacks in mapper } + if (!matched_atomic) { + func_parser = p.atomic(func_parser); + } - func_parser = p.atomic(func_parser); tool_choice |= p.rule("tool-" + name, func_parser); }); diff --git a/common/chat-auto-parser-helpers.cpp b/common/chat-auto-parser-helpers.cpp index 1519d8bc6c..3a7a5c13a7 100644 --- a/common/chat-auto-parser-helpers.cpp +++ b/common/chat-auto-parser-helpers.cpp @@ -1,9 +1,11 @@ #include "chat-auto-parser-helpers.h" #include "chat-auto-parser.h" +#include "chat-peg-parser.h" #include "chat.h" #include "log.h" #include "nlohmann/json.hpp" +#include "peg-parser.h" #include #include @@ -162,7 +164,7 @@ diff_split calculate_diff_split(const std::string & left, const std::string & ri right_fully_consumed = true; } - auto eat_segment = [](std::string & str, segment & seg) -> std::string { return str.append(seg.value); }; + auto eat_segment = [](std::string str, const segment & seg) -> std::string { return std::move(str) + seg.value; }; bool can_have_text_suffix = left_end->type == segment_type::TEXT && right_end->type == segment_type::TEXT; bool can_have_text_prefix = right_start->type == segment_type::TEXT && left_start->type == segment_type::TEXT; @@ -186,6 +188,21 @@ diff_split calculate_diff_split(const std::string & left, const std::string & ri result.suffix = ""; // pick prefix = all as representation } + + // When left has no unique content (result.left is empty), left is entirely + // shared with right. The simultaneous prefix/suffix segment matching can + // incorrectly consume trailing segments of left as suffix when those same + // segments also appear at the end of right (e.g. "\n" at the end of both + // the shared content and the generation prompt). This rotates the diff. + // Fix: if left is a prefix of right, enforce that directly. + if (result.left.empty() && !result.right.empty() && + left.size() <= right.size() && + right.substr(0, left.size()) == left) { + result.prefix = left; + result.suffix = ""; + result.right = right.substr(left.size()); + } + return result; } @@ -291,10 +308,26 @@ std::vector prune_whitespace_segments(const std::vector & segm return result; } +common_peg_parser wrap_for_generation_prompt(common_chat_peg_builder & p, + const common_peg_parser & prs, + const autoparser::generation_params & inputs, + const std::string & reasoning_start) { + auto parser = prs; + if (!inputs.generation_prompt.empty()) { + size_t end_pos = inputs.generation_prompt.size(); + if (!reasoning_start.empty() && inputs.generation_prompt.find(reasoning_start) != std::string::npos) { + end_pos = inputs.generation_prompt.find(reasoning_start); + } + std::string cut_genprompt = inputs.generation_prompt.substr(0, end_pos); + parser = p.literal(cut_genprompt) + parser; + } + return parser; +} + namespace autoparser { std::string apply_template(const common_chat_template & tmpl, const template_params & params) { - templates_params tmpl_params; + generation_params tmpl_params; tmpl_params.messages = params.messages; tmpl_params.tools = params.tools; tmpl_params.add_generation_prompt = params.add_generation_prompt; diff --git a/common/chat-auto-parser-helpers.h b/common/chat-auto-parser-helpers.h index 6e3df79db8..e13581e58f 100644 --- a/common/chat-auto-parser-helpers.h +++ b/common/chat-auto-parser-helpers.h @@ -1,6 +1,7 @@ #pragma once #include "chat-auto-parser.h" +#include "peg-parser.h" #include #include #include @@ -57,6 +58,11 @@ std::vector segmentize_markers(const std::string & text); // (MARKER, ""), (MARKER, "") ] std::vector prune_whitespace_segments(const std::vector & segments); +// Wrap parser with generation prompt parser +common_peg_parser wrap_for_generation_prompt(common_chat_peg_builder & p, + const common_peg_parser & prs, + const autoparser::generation_params & inputs, + const std::string & reasoning_start = {}); namespace autoparser { // Apply a template with the given parameters, returning the rendered string (empty on failure) diff --git a/common/chat-auto-parser.h b/common/chat-auto-parser.h index 52c6488f4b..73888276f4 100644 --- a/common/chat-auto-parser.h +++ b/common/chat-auto-parser.h @@ -50,7 +50,7 @@ namespace autoparser { // High-level params for parser generation // ============================================================================ -struct templates_params { +struct generation_params { json messages; json tools; common_chat_tool_choice tool_choice = COMMON_CHAT_TOOL_CHOICE_AUTO; @@ -62,6 +62,7 @@ struct templates_params { bool add_generation_prompt = false; bool enable_thinking = true; std::chrono::system_clock::time_point now = std::chrono::system_clock::now(); + std::string generation_prompt; json extra_context; bool add_bos = false; bool add_eos = false; @@ -77,11 +78,7 @@ struct templates_params { // Reasoning handling mode (derived from R1-R3 comparisons) enum class reasoning_mode { NONE, // No reasoning markers detected - TAG_BASED, // Standard tag-based: ... - DELIMITER, // Delimiter-based: [BEGIN FINAL RESPONSE] (reasoning ends at delimiter) - FORCED_OPEN, // Template ends with open reasoning tag (empty start, non-empty end) - FORCED_CLOSED, // Template ends with open reasoning tag on enabled thinking but - // with both opened and closed tag for disabled thinking + TAG_BASED, // Tag-based: ... (start can be empty for delimiter-style) TOOLS_ONLY // Only reason on tool calls, not on normal content }; @@ -91,12 +88,6 @@ inline std::ostream & operator<<(std::ostream & os, const reasoning_mode & mode) return os << "NONE"; case reasoning_mode::TAG_BASED: return os << "TAG_BASED"; - case reasoning_mode::DELIMITER: - return os << "DELIMITER"; - case reasoning_mode::FORCED_OPEN: - return os << "FORCED_OPEN"; - case reasoning_mode::FORCED_CLOSED: - return os << "FORCED_CLOSED"; case reasoning_mode::TOOLS_ONLY: return os << "TOOLS_ONLY"; default: @@ -184,7 +175,6 @@ struct tool_format_analysis { bool fun_name_is_key = false; // In JSON format function name is JSON key, i.e. { "": { ... arguments ... } } bool tools_array_wrapped = false; // Tool calls wrapped in JSON array [...] - bool uses_python_dicts = false; // Tool call args use Python dict format (single-quoted strings) std::string function_field = "function"; std::string name_field = "name"; @@ -225,12 +215,12 @@ struct analyze_content; struct parser_build_context { common_chat_peg_builder & p; - const templates_params & inputs; + const generation_params & inputs; common_peg_parser reasoning_parser; bool extracting_reasoning = false; const analyze_content * content = nullptr; - parser_build_context(common_chat_peg_builder & p, const templates_params & inputs); + parser_build_context(common_chat_peg_builder & p, const generation_params & inputs); }; // ============================================================================ @@ -260,6 +250,7 @@ struct analyze_reasoning : analyze_base { analyze_reasoning() = default; analyze_reasoning(const common_chat_template & tmpl, bool supports_tools); + analyze_reasoning(std::string start_, std::string end_) : start(std::move(start_)), end(std::move(end_)) {} common_peg_parser build_parser(parser_build_context & ctx) const override; @@ -381,7 +372,7 @@ struct autoparser { void analyze_template(const common_chat_template & tmpl); // Build the PEG parser for this template - common_peg_arena build_parser(const templates_params & inputs) const; + common_peg_arena build_parser(const generation_params & inputs) const; private: // Collect tokens from entire analysis to preserve @@ -395,10 +386,10 @@ struct autoparser { class peg_generator { public: static common_chat_params generate_parser(const common_chat_template & tmpl, - const struct templates_params & inputs); + const struct generation_params & inputs); static common_chat_params generate_parser(const common_chat_template & tmpl, - const struct templates_params & inputs, + const struct generation_params & inputs, const autoparser & autoparser); }; diff --git a/common/chat-diff-analyzer.cpp b/common/chat-diff-analyzer.cpp index 4068340a5c..4b827c9ae5 100644 --- a/common/chat-diff-analyzer.cpp +++ b/common/chat-diff-analyzer.cpp @@ -2,6 +2,7 @@ #include "chat-auto-parser-helpers.h" #include "chat-peg-parser.h" #include "chat.h" +#include "common.h" #include "log.h" #include "nlohmann/json.hpp" #include "peg-parser.h" @@ -31,8 +32,9 @@ static std::vector void { if (tmpl.src.find("content.split('')") != std::string::npos && tmpl.src.find("reasoning_content") == std::string::npos && + tmpl.src.find("") == std::string::npos && analysis.reasoning.mode == reasoning_mode::NONE) { - analysis.reasoning.mode = reasoning_mode::FORCED_OPEN; + analysis.reasoning.mode = reasoning_mode::TAG_BASED; analysis.reasoning.start = ""; analysis.reasoning.end = ""; analysis.preserved_tokens.push_back(""); @@ -185,7 +187,6 @@ void autoparser::analyze_template(const common_chat_template & tmpl) { LOG_DBG("func_name_prefix: '%s'\n", tools.function.name_prefix.c_str()); LOG_DBG("func_name_suffix: '%s'\n", tools.function.name_suffix.c_str()); LOG_DBG("func_close: '%s'\n", tools.function.close.c_str()); - LOG_DBG("python_dict_format: %s\n", tools.format.uses_python_dicts ? "true" : "false"); LOG_DBG("arg_name_prefix: '%s'\n", tools.arguments.name_prefix.c_str()); LOG_DBG("arg_name_suffix: '%s'\n", tools.arguments.name_suffix.c_str()); LOG_DBG("arg_value_prefix: '%s'\n", tools.arguments.value_prefix.c_str()); @@ -295,16 +296,12 @@ void analyze_reasoning::compare_reasoning_presence() { } if (result.result.success()) { if (!result.tags["pre"].empty() && !result.tags["post"].empty()) { - if (parser_wrapped.parse_anywhere_and_extract(diff.right).result.success()) { // both tags in the diff = no forced close - mode = reasoning_mode::TAG_BASED; - } else { - mode = reasoning_mode::FORCED_CLOSED; - } + mode = reasoning_mode::TAG_BASED; start = trim_whitespace(result.tags["pre"]); - end = result.tags["post"]; + end = trim_trailing_whitespace(result.tags["post"]); } else if (!result.tags["post"].empty()) { - mode = reasoning_mode::DELIMITER; - end = result.tags["post"]; + mode = reasoning_mode::TAG_BASED; + end = trim_trailing_whitespace(result.tags["post"]); } } } @@ -331,53 +328,30 @@ void analyze_reasoning::compare_thinking_enabled() { const auto & diff = comparison->diff; std::string left_trimmed = trim_whitespace(diff.left); + std::string right_trimmed = trim_whitespace(diff.right); if (left_trimmed.empty() && !diff.right.empty()) { - std::string right_trimmed = trim_whitespace(diff.right); - if (!right_trimmed.empty() && string_ends_with(comparison->output_B, right_trimmed)) { if (start.empty()) { start = right_trimmed; - mode = reasoning_mode::FORCED_OPEN; + mode = reasoning_mode::TAG_BASED; + } + } + } else if (right_trimmed.empty() && !diff.left.empty()) { + if (!left_trimmed.empty() && string_ends_with(comparison->output_A, left_trimmed)) { + if (end.empty()) { + auto seg = prune_whitespace_segments(segmentize_markers(comparison->output_A)); + if (seg.size() >= 2 && seg[seg.size() - 1].value == left_trimmed && seg[seg.size() - 2].type == segment_type::MARKER) { + start = seg[seg.size() - 2].value; + } + end = left_trimmed; + mode = reasoning_mode::TAG_BASED; } } } - if (start.empty() && !end.empty()) { - mode = reasoning_mode::DELIMITER; - } - - // Check for FORCED_CLOSED: when enable_thinking=false produces both start and end markers, - // but enable_thinking=true produces only the start marker - if (!comparison->output_A.empty() && !comparison->output_B.empty()) { - auto parser_start = build_tagged_peg_parser([&](common_peg_parser_builder &p) { - return p.literal(start) + p.space() + p.literal(end) + p.rest(); - }); - auto parser_start_end = build_tagged_peg_parser([&](common_peg_parser_builder &p) { - return p.tag("pre", p.literal(start)) + p.space() + p.negate(p.literal(end)) + p.rest(); - }); - if (!start.empty() && parser_start_end.parse_anywhere_and_extract(comparison->output_A).result.success() && - parser_start.parse_anywhere_and_extract(comparison->output_B).result.success()) { - mode = reasoning_mode::FORCED_CLOSED; - } else if (!end.empty()) { // we extract the starting marker now since we didn't get it earlier - auto result = parser_start_end.parse_anywhere_and_extract(comparison->output_A); - if (result.result.success()) { - start = result.tags["pre"]; - mode = reasoning_mode::FORCED_CLOSED; - } - } - } - - if (start.empty() && end.empty()) { // we might still have the case of "just open" and "just close" - if (!diff.left.empty() && !diff.right.empty()) { - auto seg_A = segmentize_markers(trim_trailing_whitespace(diff.left)); - auto seg_B = segmentize_markers(trim_trailing_whitespace(diff.right)); - if (seg_A.size() == 1 && seg_B.size() == 1) { - mode = reasoning_mode::FORCED_CLOSED; - start = seg_B[0].value; - end = seg_A[0].value; - } - } + if (mode == reasoning_mode::NONE && start.empty() && !end.empty()) { + mode = reasoning_mode::TAG_BASED; } } @@ -426,16 +400,16 @@ void analyze_reasoning::compare_reasoning_scope() { auto result = parser_wrapped.parse_anywhere_and_extract(comparison->output_B); if (result.result.success()) { start = result.tags["pre"]; - end = result.tags["post"]; + end = trim_trailing_whitespace(result.tags["post"]); } else { auto parser_delimiter = build_tagged_peg_parser([&](common_peg_parser_builder &p) { return p.literal(reasoning_content) + p.space() + p.optional(p.tag("post", (p.marker() + p.space()))); }); result = parser_delimiter.parse_anywhere_and_extract(comparison->output_B); if (result.result.success()) { - end = result.tags["post"]; + end = trim_trailing_whitespace(result.tags["post"]); } else { - LOG_DBG(ANSI_ORANGE "%s: Unable to extracft reasoning markers, falling back to reasoning = NONE\n" ANSI_RESET, __func__); + LOG_DBG(ANSI_ORANGE "%s: Unable to extract reasoning markers, falling back to reasoning = NONE\n" ANSI_RESET, __func__); mode = reasoning_mode::NONE; } } @@ -479,6 +453,7 @@ analyze_content::analyze_content(const common_chat_template & tmpl, const analyz if (!comparison_with_tools || !comparison_with_reasoning) { LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__); + return; } const auto & diff_tools = comparison_with_tools->diff; @@ -599,33 +574,23 @@ void analyze_tools::analyze_tool_call_format(const std::string & haystack, return; } - enum class json_quote_style { NONE, DOUBLE_QUOTES, SINGLE_QUOTES }; - - auto in_json_haystack = [&haystack](const std::string & needle) -> json_quote_style { + auto in_json_haystack = [&haystack](const std::string & needle) -> bool { auto parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) { return p.choice({ p.literal("{"), p.literal(":") }) << p.choice({ - p.tag("sq", p.literal("'") + p.literal(needle) + p.literal("'")), p.tag("dq", p.literal("\"") + p.literal(needle) + p.literal("\"")) }); }); auto result = parser.parse_anywhere_and_extract(haystack); - if (!result.result.success()) { - return json_quote_style::NONE; - } - return result.tags.count("sq") && !result.tags["sq"].empty() - ? json_quote_style::SINGLE_QUOTES - : json_quote_style::DOUBLE_QUOTES; + return result.result.success(); }; auto fun_quote = in_json_haystack(fun_name_needle); auto arg_quote = in_json_haystack(arg_name_needle); - if (fun_quote != json_quote_style::NONE) { + if (fun_quote) { // no need to check further, we're in JSON land format.mode = tool_format::JSON_NATIVE; - format.uses_python_dicts = (fun_quote == json_quote_style::SINGLE_QUOTES); - } else if (arg_quote != json_quote_style::NONE) { + } else if (arg_quote) { format.mode = tool_format::TAG_WITH_JSON; - format.uses_python_dicts = (arg_quote == json_quote_style::SINGLE_QUOTES); } else { format.mode = tool_format::TAG_WITH_TAGGED; } @@ -911,8 +876,10 @@ void analyze_tools::extract_function_markers() { // we'll have to rely on an extra diff with no-calls version auto notool_comp = compare_variants( *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_nocall }); }); - auto nt_diff = notool_comp->diff; - closer_suffix = nt_diff.left.substr(nt_diff.left.find("YYYY") + 4); + if (notool_comp) { + auto nt_diff = notool_comp->diff; + closer_suffix = nt_diff.left.substr(nt_diff.left.find("YYYY") + 4); + } } else { closer_suffix = diff.suffix.substr(0, diff.suffix.find(suffix_marker)); } diff --git a/common/chat-peg-parser.cpp b/common/chat-peg-parser.cpp index ef9dec5935..5f7d422b41 100644 --- a/common/chat-peg-parser.cpp +++ b/common/chat-peg-parser.cpp @@ -6,7 +6,7 @@ #include -using json = nlohmann::ordered_json; +using ordered_json = nlohmann::ordered_json; static std::string_view trim_trailing_space(std::string_view sv, int max = -1) { int count = 0; @@ -68,7 +68,7 @@ static int json_brace_depth(const std::string & s) { // JSON-escape a string and return the inner content (without surrounding quotes). static std::string escape_json_string_inner(const std::string & s) { - std::string escaped = json(s).dump(); + std::string escaped = ordered_json(s).dump(); if (escaped.size() >= 2 && escaped.front() == '"' && escaped.back() == '"') { return escaped.substr(1, escaped.size() - 2); } @@ -167,8 +167,8 @@ void tag_based_peg_mapper::from_ast(const common_peg_ast_arena & arena, const co }); } -tagged_parse_result tagged_peg_parser::parse_and_extract(const std::string & input, bool is_partial) const { - common_peg_parse_context ctx(input, is_partial); +tagged_parse_result tagged_peg_parser::parse_and_extract(const std::string & input, common_peg_parse_flags extra_flags) const { + common_peg_parse_context ctx(input, flags | extra_flags); auto parse_result = arena.parse(ctx); tag_based_peg_mapper mapper; @@ -179,11 +179,10 @@ tagged_parse_result tagged_peg_parser::parse_and_extract(const std::string & inp tagged_parse_result tagged_peg_parser::parse_anywhere_and_extract(const std::string & input) const { if (input.empty()) { - return parse_and_extract(input, false); + return parse_and_extract(input); } for (size_t i = 0; i < input.size(); i++) { - common_peg_parse_context ctx(input, false); - ctx.debug = debug; + common_peg_parse_context ctx(input, flags); auto parse_result = arena.parse(ctx, i); if (parse_result.success() || i == input.size() - 1) { tag_based_peg_mapper mapper; @@ -230,6 +229,20 @@ void common_chat_peg_mapper::from_ast(const common_peg_ast_arena & arena, result.tool_calls.push_back(pending_tool_call.value()); pending_tool_call.reset(); } + + // Discard whitespace-only reasoning content (e.g. from prefill) + if (!result.reasoning_content.empty()) { + bool all_whitespace = true; + for (char c : result.reasoning_content) { + if (c != ' ' && c != '\n' && c != '\r' && c != '\t') { + all_whitespace = false; + break; + } + } + if (all_whitespace) { + result.reasoning_content.clear(); + } + } } void common_chat_peg_mapper::map(const common_peg_ast_node & node) { @@ -310,7 +323,7 @@ void common_chat_peg_mapper::map(const common_peg_ast_node & node) { if (arg_count > 0) { arg_entry = ","; } - arg_entry += json(trim(node.text)).dump() + ":"; + arg_entry += ordered_json(trim(node.text)).dump() + ":"; ++arg_count; auto & target = args_target(); @@ -344,7 +357,7 @@ void common_chat_peg_mapper::map(const common_peg_ast_node & node) { // Try to parse as JSON value (number, bool, null, object, array) try { - json parsed = json::parse(value_content); + ordered_json parsed = ordered_json::parse(value_content); if (parsed.is_string()) { // Don't add closing quote yet (added by arg_close) for monotonic streaming std::string escaped = parsed.dump(); @@ -409,7 +422,7 @@ void common_chat_peg_mapper::map(const common_peg_ast_node & node) { common_peg_parser common_chat_peg_builder::standard_constructed_tools( const std::map & markers, - const nlohmann::json & tools, + const ordered_json & tools, bool parallel_tool_calls, bool force_tool_calls) { if (!tools.is_array() || tools.empty()) { @@ -440,7 +453,7 @@ common_peg_parser common_chat_peg_builder::standard_constructed_tools( } const auto & function = tool_def.at("function"); std::string name = function.at("name"); - nlohmann::json params = function.contains("parameters") ? function.at("parameters") : nlohmann::json::object(); + ordered_json params = function.contains("parameters") ? function.at("parameters") : ordered_json::object(); // Build argument parsers auto args = eps(); @@ -477,6 +490,74 @@ common_peg_parser common_chat_peg_builder::standard_constructed_tools( return force_tool_calls ? section : optional(section); } +// Python-style tool calls: name(arg1="value1", arg2=123) +// Used only by LFM2 for now, so we don't merge it into autoparser +common_peg_parser common_chat_peg_builder::python_style_tool_calls( + const ordered_json & tools, + bool parallel_tool_calls) { + if (!tools.is_array() || tools.empty()) { + return eps(); + } + + auto tool_choices = choice(); + + for (const auto & tool_def : tools) { + if (!tool_def.contains("function")) { + continue; + } + const auto & function = tool_def.at("function"); + std::string name = function.at("name"); + ordered_json params = function.contains("parameters") ? function.at("parameters") : ordered_json::object(); + + auto args = eps(); + if (params.contains("properties") && !params["properties"].empty()) { + auto arg_choice = choice(); + for (const auto & el : params["properties"].items()) { + const std::string & prop_name = el.key(); + const auto & prop_def = el.value(); + bool is_string_type = (prop_def.contains("type") && prop_def["type"] == "string"); + + auto arg_name_parser = literal(prop_name); + + common_peg_parser arg_value_parser = eps(); + auto string_value_parser = choice({ + literal("\"") + tool_arg_string_value(string_content('"')) + literal("\""), + literal("'") + tool_arg_string_value(string_content('\'')) + literal("'") + }); + + if (is_string_type) { + arg_value_parser = string_value_parser; + } else { + arg_value_parser = tool_arg_value(python_value()); + } + + // Full argument: name="value" or name=value + auto arg_rule = tool_arg( + tool_arg_open(eps()) + + tool_arg_name(arg_name_parser) + + literal("=") + + arg_value_parser + + tool_arg_close(eps()) + ); + arg_choice |= arg_rule; + } + + args = arg_choice + zero_or_more("," + space() + arg_choice); + } + + auto tool_parser = tool(tool_open(tool_name(literal(name)) + literal("(")) + + space() + tool_args(args) + space() + tool_close(literal(")")) + ); + + tool_choices |= rule("tool-" + name, tool_parser); + } + + if (parallel_tool_calls) { + return "[" + space() + tool_choices + zero_or_more("," + space() + tool_choices) + space() + "]"; + } + return "[" + space() + tool_choices + space() + "]"; +} + // Helper: Parse dot notation key into prefix and field name static std::pair parse_key_spec(const std::string & key) { auto dot_pos = key.find('.'); @@ -488,11 +569,11 @@ static std::pair parse_key_spec(const std::string & ke // Mode 1: function_is_key — parse {"function_name": {...}} common_peg_parser common_chat_peg_builder::build_json_tools_function_is_key( - const nlohmann::json & tools, - const std::string & args_key, - const std::string & effective_args_key, - const std::string & call_id_key, - const std::string & gen_call_id_key) { + const ordered_json & tools, + const std::string & args_key, + const std::string & effective_args_key, + const std::string & call_id_key, + const std::string & gen_call_id_key) { auto tool_choices = choice(); @@ -502,7 +583,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_function_is_key( } const auto & function = tool_def.at("function"); std::string name = function.at("name"); - nlohmann::json params = function.contains("parameters") ? function.at("parameters") : nlohmann::json::object(); + ordered_json params = function.contains("parameters") ? function.at("parameters") : ordered_json::object(); // Build inner object fields std::vector inner_fields; @@ -510,7 +591,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_function_is_key( if (!call_id_key.empty()) { auto id_parser = atomic( literal("\"" + call_id_key + "\"") + space() + literal(":") + space() + - literal("\"") + tool_id(json_string_content()) + literal("\"") + literal("\"") + tool_id(string_content('"')) + literal("\"") ); inner_fields.push_back(optional(id_parser + space() + optional(literal(",") + space()))); } @@ -519,7 +600,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_function_is_key( auto gen_id_parser = atomic( literal("\"" + gen_call_id_key + "\"") + space() + literal(":") + space() + choice({ - literal("\"") + tool_id(json_string_content()) + literal("\""), + literal("\"") + tool_id(string_content('"')) + literal("\""), tool_id(json_number()) }) ); @@ -567,11 +648,11 @@ common_peg_parser common_chat_peg_builder::build_json_tools_function_is_key( // Mode 2: Nested keys (dot notation like "function.name") common_peg_parser common_chat_peg_builder::build_json_tools_nested_keys( - const nlohmann::json & tools, - const std::string & effective_name_key, - const std::string & effective_args_key, - const std::string & call_id_key, - const std::string & gen_call_id_key) { + const ordered_json & tools, + const std::string & effective_name_key, + const std::string & effective_args_key, + const std::string & call_id_key, + const std::string & gen_call_id_key) { auto tool_choices = choice(); @@ -588,7 +669,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_nested_keys( } const auto & function = tool_def.at("function"); std::string name = function.at("name"); - nlohmann::json params = function.contains("parameters") ? function.at("parameters") : nlohmann::json::object(); + ordered_json params = function.contains("parameters") ? function.at("parameters") : ordered_json::object(); auto nested_name = literal("\"" + nested_name_field + "\"") + space() + literal(":") + space() + literal("\"") + tool_name(literal(name)) + literal("\""); @@ -608,7 +689,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_nested_keys( if (id_spec.first.empty()) { auto id_parser = atomic( literal("\"" + call_id_key + "\"") + space() + literal(":") + space() + - literal("\"") + tool_id(json_string_content()) + literal("\"") + literal("\"") + tool_id(string_content('"')) + literal("\"") ); tool_parser_body = tool_parser_body + optional(id_parser + space() + literal(",") + space()); } @@ -620,7 +701,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_nested_keys( auto gen_id_parser = atomic( literal("\"" + gen_call_id_key + "\"") + space() + literal(":") + space() + choice({ - literal("\"") + tool_id(json_string_content()) + literal("\""), + literal("\"") + tool_id(string_content('"')) + literal("\""), tool_id(json_number()) }) ); @@ -639,7 +720,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_nested_keys( // Mode 3: Flat keys with optional ID fields and parameter ordering common_peg_parser common_chat_peg_builder::build_json_tools_flat_keys( - const nlohmann::json & tools, + const ordered_json & tools, const std::string & effective_name_key, const std::string & effective_args_key, const std::string & call_id_key, @@ -656,7 +737,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_flat_keys( } const auto & function = tool_def.at("function"); std::string name = function.at("name"); - nlohmann::json params = function.contains("parameters") ? function.at("parameters") : nlohmann::json::object(); + ordered_json params = function.contains("parameters") ? function.at("parameters") : ordered_json::object(); auto tool_name_ = name_key_parser + space() + literal(":") + space() + literal("\"") + tool_name(literal(name)) + literal("\""); @@ -669,7 +750,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_flat_keys( id_parser = atomic( literal("\"" + call_id_key + "\"") + space() + literal(":") + space() + choice({ - literal("\"") + tool_id(json_string_content()) + literal("\""), + literal("\"") + tool_id(string_content('"')) + literal("\""), tool_id(json_number()) }) ); @@ -680,7 +761,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_flat_keys( gen_id_parser = atomic( literal("\"" + gen_call_id_key + "\"") + space() + literal(":") + space() + choice({ - literal("\"") + tool_id(json_string_content()) + literal("\""), + literal("\"") + tool_id(string_content('"')) + literal("\""), tool_id(json_number()) }) ); @@ -724,7 +805,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_flat_keys( common_peg_parser common_chat_peg_builder::standard_json_tools( const std::string & section_start, const std::string & section_end, - const nlohmann::json & tools, + const ordered_json & tools, bool parallel_tool_calls, bool force_tool_calls, const std::string & name_key, diff --git a/common/chat-peg-parser.h b/common/chat-peg-parser.h index e130ceea5f..a497508d2f 100644 --- a/common/chat-peg-parser.h +++ b/common/chat-peg-parser.h @@ -94,7 +94,7 @@ class common_chat_peg_builder : public common_peg_parser_builder { // parameters_order: order in which JSON fields should be parsed common_peg_parser standard_json_tools(const std::string & section_start, const std::string & section_end, - const nlohmann::json & tools, + const nlohmann::ordered_json & tools, bool parallel_tool_calls, bool force_tool_calls, const std::string & name_key = "", @@ -108,25 +108,30 @@ class common_chat_peg_builder : public common_peg_parser_builder { // Legacy-compatible helper for building XML/tagged style tool calls // Used by tests and manual parsers common_peg_parser standard_constructed_tools(const std::map & markers, - const nlohmann::json & tools, + const nlohmann::ordered_json & tools, bool parallel_tool_calls, bool force_tool_calls); + // Helper for Python-style function call format: name(arg1="value1", arg2=123) + // Used by LFM2 and similar templates + common_peg_parser python_style_tool_calls(const nlohmann::ordered_json & tools, + bool parallel_tool_calls); + private: // Implementation helpers for standard_json_tools — one per JSON tool call layout mode - common_peg_parser build_json_tools_function_is_key(const nlohmann::json & tools, - const std::string & args_key, - const std::string & effective_args_key, - const std::string & call_id_key, - const std::string & gen_call_id_key); + common_peg_parser build_json_tools_function_is_key(const nlohmann::ordered_json & tools, + const std::string & args_key, + const std::string & effective_args_key, + const std::string & call_id_key, + const std::string & gen_call_id_key); - common_peg_parser build_json_tools_nested_keys(const nlohmann::json & tools, - const std::string & effective_name_key, - const std::string & effective_args_key, - const std::string & call_id_key, - const std::string & gen_call_id_key); + common_peg_parser build_json_tools_nested_keys(const nlohmann::ordered_json & tools, + const std::string & effective_name_key, + const std::string & effective_args_key, + const std::string & call_id_key, + const std::string & gen_call_id_key); - common_peg_parser build_json_tools_flat_keys(const nlohmann::json & tools, + common_peg_parser build_json_tools_flat_keys(const nlohmann::ordered_json & tools, const std::string & effective_name_key, const std::string & effective_args_key, const std::string & call_id_key, @@ -155,19 +160,19 @@ struct tagged_parse_result { struct tagged_peg_parser { common_peg_arena arena; - bool debug = false; + common_peg_parse_flags flags = COMMON_PEG_PARSE_FLAG_NONE; tagged_peg_parser & withDebug() { - debug = true; + flags |= COMMON_PEG_PARSE_FLAG_DEBUG; return *this; } tagged_peg_parser & withoutDebug() { - debug = false; + flags = flags & ~COMMON_PEG_PARSE_FLAG_DEBUG; return *this; } - tagged_parse_result parse_and_extract(const std::string & input, bool is_partial = false) const; + tagged_parse_result parse_and_extract(const std::string & input, common_peg_parse_flags extra_flags = COMMON_PEG_PARSE_FLAG_NONE) const; tagged_parse_result parse_anywhere_and_extract(const std::string & input) const; }; diff --git a/common/chat.cpp b/common/chat.cpp index 81c23430af..a79d564b34 100644 --- a/common/chat.cpp +++ b/common/chat.cpp @@ -1,5 +1,6 @@ #include "chat.h" +#include "chat-auto-parser-helpers.h" #include "chat-auto-parser.h" #include "chat-peg-parser.h" #include "common.h" @@ -22,6 +23,7 @@ #include #include #include +#include #include using json = nlohmann::ordered_json; @@ -129,7 +131,7 @@ json common_chat_msg::to_json_oaicompat(bool concat_typed_text) const { {"type", "function"}, {"function", { {"name", tool_call.name}, - {"arguments", json::parse(tool_call.arguments)}, + {"arguments", json(tool_call.arguments)}, }}, }; if (!tool_call.id.empty()) { @@ -760,7 +762,7 @@ static void foreach_parameter(const json & std::string common_chat_template_direct_apply( const common_chat_template & tmpl, - const autoparser::templates_params & inputs, + const autoparser::generation_params & inputs, const std::optional & messages_override, const std::optional & tools_override, const std::optional & additional_context) { @@ -811,7 +813,7 @@ std::string common_chat_template_direct_apply( } static common_chat_params common_chat_params_init_ministral_3(const common_chat_template & tmpl, - const autoparser::templates_params & inputs) { + const autoparser::generation_params & inputs) { common_chat_params data; // Build up messages to follow the format: https://huggingface.co/mistralai/Ministral-3-14B-Reasoning-2512/blob/main/chat_template.jinja @@ -857,7 +859,9 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_ auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE; auto include_grammar = true; - data.supports_thinking = true; + data.supports_thinking = true; + data.thinking_start_tag = "[THINK]"; + data.thinking_end_tag = "[/THINK]"; data.prompt = common_chat_template_direct_apply(tmpl, inputs, /* messages_override = */ adjusted_messages); data.format = COMMON_CHAT_FORMAT_PEG_NATIVE; data.preserved_tokens = { @@ -874,8 +878,8 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_ // Response format parser if (inputs.json_schema.is_object() && !inputs.json_schema.empty()) { // Ministral wants to emit json surrounded by code fences - return reasoning << "```json" << p.content(p.schema(p.json(), "response-format", inputs.json_schema)) - << "```"; + return wrap_for_generation_prompt(p, reasoning << "```json" << p.content(p.schema(p.json(), "response-format", inputs.json_schema)) << "```", + inputs, "[THINK]"); } // Tool call parser @@ -895,12 +899,13 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_ auto max_calls = inputs.parallel_tool_calls ? -1 : 1; auto tool_calls = p.trigger_rule("tool-call", p.repeat("[TOOL_CALLS]" + tool_choice, min_calls, max_calls)); - return reasoning << p.content(p.until("[TOOL_CALLS]")) << tool_calls; + return wrap_for_generation_prompt(p, reasoning << p.content(p.until("[TOOL_CALLS]")) << tool_calls, + inputs, "[THINK]"); } // Content only parser include_grammar = false; - return reasoning << p.content(p.rest()); + return wrap_for_generation_prompt(p, reasoning << p.content(p.rest()), inputs, "[THINK]"); }); data.parser = parser.save(); @@ -926,22 +931,19 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_ } static common_chat_params common_chat_params_init_gpt_oss(const common_chat_template & tmpl, - const autoparser::templates_params & inputs) { + const autoparser::generation_params & inputs) { common_chat_params data; // Copy reasoning to the "thinking" field as expected by the gpt-oss template auto adjusted_messages = json::array(); - for (const auto & msg : inputs.messages) { - auto has_reasoning_content = msg.contains("reasoning_content") && msg.at("reasoning_content").is_string(); - auto has_tool_calls = msg.contains("tool_calls") && msg.at("tool_calls").is_array(); - - if (has_reasoning_content && has_tool_calls) { - auto adjusted_message = msg; - adjusted_message["thinking"] = msg.at("reasoning_content"); - adjusted_messages.push_back(adjusted_message); - } else { - adjusted_messages.push_back(msg); + for (auto msg : inputs.messages) { + if (msg.contains("reasoning_content") && msg.at("reasoning_content").is_string()) { + msg["thinking"] = msg.at("reasoning_content"); + if (msg.contains("tool_calls") && msg.at("tool_calls").is_array() && !msg.at("tool_calls").empty()) { + msg.erase("content"); + } } + adjusted_messages.push_back(msg); } auto prompt = common_chat_template_direct_apply(tmpl, inputs, /* messages_override= */ adjusted_messages); @@ -967,45 +969,32 @@ static common_chat_params common_chat_params_init_gpt_oss(const common_chat_temp "<|channel|>", "<|constrain|>", "<|message|>", "<|start|>", "<|end|>", }; - auto has_tools = inputs.tools.is_array() && !inputs.tools.empty(); - auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE; - auto include_grammar = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE && has_tools; + auto has_tools = inputs.tools.is_array() && !inputs.tools.empty(); + auto has_response_format = !inputs.json_schema.is_null() && inputs.json_schema.is_object(); + auto include_grammar = has_response_format || (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE); auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) { - const std::string END = "<|end|>"; - const std::string START = "<|start|>"; - const std::string MESSAGE = "<|message|>"; - const std::string CHANNEL = "<|channel|>"; - const std::string CONSTRAIN = "<|constrain|>"; - const std::string START_ASSISTANT = START + "assistant"; - const std::string CHANNEL_ANALYSIS = CHANNEL + "analysis"; - const std::string CHANNEL_COMMENTARY = CHANNEL + "commentary"; - const std::string CHANNEL_FINAL = CHANNEL + "final"; + auto start = p.rule("start", p.literal("<|start|>assistant")); + auto end = p.rule("end", p.literal("<|end|>")); + auto content = p.rule("message-content", p.until("<|end|>")); + auto channel = p.literal("<|channel|>") + (p.literal("commentary") | p.literal("analysis")); + auto constrain_type = p.chars("[A-Za-z0-9_-]", 1, -1); - auto the_end = END | p.end(); + auto analysis = p.rule("analysis", p.literal("<|channel|>analysis<|message|>") + p.reasoning(content) + end); + auto preamble = p.rule("preamble", p.literal("<|channel|>commentary<|message|>") + p.content(content) + end); + auto final_msg = p.rule("final", p.literal("<|channel|>final<|message|>") + p.content(content)); + auto any = p.rule("any", preamble | analysis); - const std::string analysis_header = CHANNEL_ANALYSIS + MESSAGE; - auto segment_content = p.until(END); - auto analysis_segment = extract_reasoning ? - p.literal(analysis_header) + p.reasoning(segment_content) + p.until(END) + the_end : - p.content(analysis_header + p.until(END) + the_end); + if (has_response_format) { + auto constraint = p.optional(p.space() + p.literal("<|constrain|>") + constrain_type); + auto response_format = p.rule("response-format", + p.literal("<|channel|>final") + constraint + p.literal("<|message|>") + + p.content(p.schema(p.json(), "response-format-schema", inputs.json_schema))); - auto channel_header_content = p.until_one_of({ " to=functions.", MESSAGE }); - auto content_header = p.choice({ p.literal(CHANNEL_COMMENTARY), p.literal(CHANNEL_FINAL) }); - auto content_segment = p.rule("content-segment", content_header + channel_header_content + MESSAGE + - p.content(segment_content) + the_end); - - if (!inputs.json_schema.is_null()) { - auto final_header = p.literal(CHANNEL_FINAL); - auto constraint = p.optional(p.space() + p.literal(CONSTRAIN) + channel_header_content); - return p.optional(analysis_segment) + final_header + constraint + MESSAGE + - p.content(p.schema(p.json(), "response-format", inputs.json_schema)); + return wrap_for_generation_prompt(p, response_format | (analysis + p.zero_or_more(start + analysis) + start + response_format), + inputs, "<|channel|>"); } - auto segment = p.optional(START_ASSISTANT + p.space()) + p.choice({ content_segment, analysis_segment }); - auto contents = p.optional(segment + p.repeat(p.optional(p.space()) + segment, 0, -1)) + p.end(); - - // Tool call parser if (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE) { auto tool_choice = p.choice(); @@ -1014,42 +1003,39 @@ static common_chat_params common_chat_params_init_gpt_oss(const common_chat_temp std::string name = function.at("name"); const auto & params = function.at("parameters"); - // Tool call can appear as: - // 1. In role header: " to=functions.NAME<|channel|>..." - // 2. In channel: "<|channel|>(analysis|commentary) to=functions.NAME..." - auto func_name = p.literal(" to=functions.") + p.tool_name(p.literal(name)); - - auto channel = p.literal(CHANNEL_COMMENTARY) | p.literal(CHANNEL_ANALYSIS); - auto constraint = p.space() + p.optional(p.literal(CONSTRAIN) + channel_header_content); + auto func_name = p.literal(" to=functions.") + p.tool_name(p.literal(name)); + auto constraint = p.optional(p.space() + p.literal("<|constrain|>") + constrain_type); auto args = p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", params)); - // Pattern 1: recipient in role header - // " to=functions.NAME<|channel|>(analysis|commentary)[constraint]<|message|>ARGS" - auto tool_in_role = p.tool(p.tool_open(func_name + channel) + constraint + MESSAGE + args); + // recipient in role header + // <|start|>assistant to=functions.NAME<|channel|>(commentary|analysis)[constraint]<|message|>ARGS + auto tool_in_role = p.tool(p.tool_open(func_name + channel + constraint + p.literal("<|message|>")) + args); - // Pattern 2: recipient in channel header - // "<|channel|>(analysis|commentary) to=functions.NAME[constraint]<|message|>ARGS" - auto tool_in_channel = p.tool(channel + p.tool_open(func_name + constraint + MESSAGE) + args); + // recipient in channel header + // <|channel|>(commentary|analysis) to=functions.NAME[constraint]<|message|>ARGS + auto tool_in_channel = p.tool(p.tool_open(channel + func_name + constraint + p.literal("<|message|>")) + args); - tool_choice |= tool_in_role | tool_in_channel; + tool_choice |= p.rule("tool-" + name, tool_in_role | tool_in_channel); }); - auto min_calls = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED ? 1 : 0; - auto max_calls = inputs.parallel_tool_calls ? -1 : 1; + auto tool_call = p.trigger_rule("tool-call", tool_choice); - auto role_start = p.optional(p.space() + p.literal(START_ASSISTANT)); - auto tool_call = p.rule("tool-call", p.repeat(role_start + tool_choice, min_calls, max_calls) + p.end()); + if (inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED) { + return tool_call | ( any + p.zero_or_more(start + any) + start + tool_call); + } - return p.choice({ p.trigger_rule("single-tool", tool_call), p.trigger_rule("tools", p.one_or_more(segment) + tool_call) }); + return wrap_for_generation_prompt(p, tool_call | final_msg | (any + p.zero_or_more(start + any) + start + (tool_call | final_msg)), + inputs, "<|channel|>"); } - return contents; + return wrap_for_generation_prompt(p, final_msg | (any + p.zero_or_more(start + any) + start + final_msg), + inputs, "<|channel|>"); }); data.parser = parser.save(); if (include_grammar) { - data.grammar_lazy = has_tools && inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO; + data.grammar_lazy = !(has_response_format || (has_tools && inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED)); data.grammar = build_grammar([&](const common_grammar_builder & builder) { foreach_function(inputs.tools, [&](const json & tool) { const auto & function = tool.at("function"); @@ -1060,10 +1046,9 @@ static common_chat_params common_chat_params_init_gpt_oss(const common_chat_temp }); data.grammar_triggers = { - { COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, "^(?:<\\|start\\|>assistant\\s*)?(\\s+to=functions)" }, - { COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, "(?:<\\|end\\|>)(?:<\\|start\\|>assistant\\s*)?(\\s+to=functions)" }, - { COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, - "(?:<\\|start\\|>assistant\\s*)?(<\\|channel\\|>(?:commentary|analysis)\\s+to=functions)" } + { COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, "^\\s+to$" }, + { COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, "<\\|start\\|>assistant(\\s+to)" }, + { COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, "<\\|start\\|>assistant(<\\|channel\\|>(?:commentary|analysis)\\s+to)" } }; } @@ -1072,7 +1057,7 @@ static common_chat_params common_chat_params_init_gpt_oss(const common_chat_temp // Functionary v3.2 - uses recipient-based format: >>>recipient\n{content} static common_chat_params common_chat_params_init_functionary_v3_2(const common_chat_template & tmpl, - const autoparser::templates_params & inputs) { + const autoparser::generation_params & inputs) { common_chat_params data; data.prompt = common_chat_template_direct_apply(tmpl, inputs); @@ -1093,13 +1078,13 @@ static common_chat_params common_chat_params_init_functionary_v3_2(const common_ // Build content parser for >>>all\n{content} // When tools are present, content stops before the next ">>>" (tool call) // When no tools, content goes until end - auto content_until_tool = p.literal(">>>all\n") + p.content(p.until(">>>")); - auto content_until_end = p.literal(">>>all\n") + p.content(p.rest()); + auto content_until_tool = p.literal("all\n") + p.content(p.until(">>>")); + auto content_until_end = p.literal("all\n") + p.content(p.rest()); // If no tools or tool_choice is NONE, just parse content if (!has_tools || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) { // When no tools, just match the prefix and capture everything after - return content_until_end + p.end(); + return wrap_for_generation_prompt(p, content_until_end + p.end(), inputs); } // Build tool call parsers for each available function @@ -1111,7 +1096,7 @@ static common_chat_params common_chat_params_init_functionary_v3_2(const common_ // Tool format: >>>function_name\n{json_args} auto tool_parser = p.tool( - p.tool_open(p.literal(">>>") + p.tool_name(p.literal(name)) + p.literal("\n")) + + p.tool_open(p.tool_name(p.literal(name)) + p.literal("\n")) + p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema)) ); @@ -1122,17 +1107,20 @@ static common_chat_params common_chat_params_init_functionary_v3_2(const common_ auto tools_only = p.trigger_rule("tools", p.one_or_more(tool_choice)); auto content_and_tools = content_until_tool + tools_only; + auto ret = p.eps(); if (inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED) { if (inputs.parallel_tool_calls) { - return p.choice({ content_and_tools, tools_only }) + p.end(); + ret = p.choice({ content_and_tools, tools_only }) + p.end(); + } else { + ret = p.choice({ content_until_tool + tool_choice, tools_only }) + p.end(); } - return p.choice({ content_until_tool + tool_choice, tools_only }) + p.end(); + } else if (inputs.parallel_tool_calls) { + ret = p.choice({ content_and_tools, content_only, tools_only }) + p.end(); + } else { + auto content_and_tool = content_until_tool + tool_choice; + ret = p.choice({ content_and_tool, content_only, tool_choice }) + p.end(); } - if (inputs.parallel_tool_calls) { - return p.choice({ content_and_tools, content_only, tools_only }) + p.end(); - } - auto content_and_tool = content_until_tool + tool_choice; - return p.choice({ content_and_tool, content_only, tool_choice }) + p.end(); + return wrap_for_generation_prompt(p, ret, inputs); }); data.parser = parser.save(); @@ -1162,12 +1150,12 @@ static common_chat_params common_chat_params_init_functionary_v3_2(const common_ // Kimi K2 Thinking - uses unique tool call ID format: functions.: // The ID contains both the function name and an incrementing counter static common_chat_params common_chat_params_init_kimi_k2(const common_chat_template & tmpl, - const autoparser::templates_params & inputs) { + const autoparser::generation_params & inputs) { common_chat_params data; - data.prompt = common_chat_template_direct_apply(tmpl, inputs); - data.format = COMMON_CHAT_FORMAT_PEG_NATIVE; - data.supports_thinking = true; + data.prompt = common_chat_template_direct_apply(tmpl, inputs); + data.format = COMMON_CHAT_FORMAT_PEG_NATIVE; + data.supports_thinking = true; data.preserved_tokens = { "<|tool_calls_section_begin|>", "<|tool_calls_section_end|>", @@ -1182,6 +1170,18 @@ static common_chat_params common_chat_params_init_kimi_k2(const common_chat_temp auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE; auto include_grammar = has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE; + const std::string SECTION_BEGIN = "<|tool_calls_section_begin|>"; + const std::string SECTION_END = "<|tool_calls_section_end|>"; + const std::string CALL_BEGIN = "<|tool_call_begin|>"; + const std::string ARGS_BEGIN = "<|tool_call_argument_begin|>"; + const std::string CALL_END = "<|tool_call_end|>"; + + const std::string THINK_START = ""; + const std::string THINK_END = ""; + + data.thinking_start_tag = THINK_START; + data.thinking_end_tag = THINK_END; + auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) { // Kimi K2 Thinking format: // - Reasoning: {reasoning} @@ -1193,16 +1193,7 @@ static common_chat_params common_chat_params_init_kimi_k2(const common_chat_temp // <|tool_calls_section_end|> // The ID format is: functions.: where counter is 0, 1, 2, ... - // Tool call markers - const std::string SECTION_BEGIN = "<|tool_calls_section_begin|>"; - const std::string SECTION_END = "<|tool_calls_section_end|>"; - const std::string CALL_BEGIN = "<|tool_call_begin|>"; - const std::string ARGS_BEGIN = "<|tool_call_argument_begin|>"; - const std::string CALL_END = "<|tool_call_end|>"; - - const std::string THINK_START = ""; - const std::string THINK_END = ""; - + // Tool call markers auto end = p.end(); // Note: this model is CRAZY. It can diverge from its supposed tool calling pattern in so many ways it's not funny. @@ -1214,7 +1205,8 @@ static common_chat_params common_chat_params_init_kimi_k2(const common_chat_temp // Content only parser (no tools) if (!has_tools || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) { - return reasoning + p.content(p.rest()) + end; + return wrap_for_generation_prompt(p, reasoning + p.content(p.rest()) + end, + inputs, THINK_START); } // Build tool call parsers for each available function @@ -1250,7 +1242,8 @@ static common_chat_params common_chat_params_init_kimi_k2(const common_chat_temp auto content_before_tools = p.content(p.until_one_of({ SECTION_BEGIN, CALL_BEGIN })); - return reasoning + content_before_tools + tool_calls + end; + return wrap_for_generation_prompt(p, reasoning + content_before_tools + tool_calls + end, + inputs, THINK_START); }); data.parser = parser.save(); @@ -1274,8 +1267,172 @@ static common_chat_params common_chat_params_init_kimi_k2(const common_chat_temp return data; } +// LFM2 format: +// - Reasoning: {reasoning} (optional, only if enable_thinking is true) +// - Content: text after reasoning (optional) +// - Tool calls: <|tool_call_start|>[function_name(arg1="value1", arg2="value2")]<|tool_call_end|> +// Tool calls can appear multiple times (parallel tool calls) +static common_chat_params common_chat_params_init_lfm2(const common_chat_template & tmpl, + const autoparser::generation_params & inputs) { + common_chat_params data; + + data.prompt = common_chat_template_direct_apply(tmpl, inputs); + data.format = COMMON_CHAT_FORMAT_PEG_NATIVE; + data.supports_thinking = true; + data.preserved_tokens = { + "<|tool_list_start|>", + "<|tool_list_end|>", + "<|tool_call_start|>", + "<|tool_call_end|>", + "", + "", + }; + + auto has_tools = inputs.tools.is_array() && !inputs.tools.empty(); + auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE; + auto include_grammar = has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE; + + const std::string TOOL_CALL_START = "<|tool_call_start|>"; + const std::string TOOL_CALL_END = "<|tool_call_end|>"; + const std::string THINK_START = ""; + const std::string THINK_END = ""; + + data.thinking_start_tag = THINK_START; + data.thinking_end_tag = THINK_END; + + auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) { + auto end = p.end(); + + auto reasoning = p.eps(); + if (extract_reasoning && inputs.enable_thinking) { + reasoning = p.optional(THINK_START + p.reasoning(p.until(THINK_END)) + THINK_END); + } + + if (!has_tools || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) { + return wrap_for_generation_prompt(p, reasoning + p.content(p.rest()) + end, inputs, + THINK_START); + } + + auto tool_calls = p.rule("tool-calls", + p.trigger_rule("tool-call", p.literal(TOOL_CALL_START) + + p.python_style_tool_calls(inputs.tools, inputs.parallel_tool_calls) + + p.literal(TOOL_CALL_END) + ) + ); + + auto content = p.content(p.until(TOOL_CALL_START)); + + return wrap_for_generation_prompt(p, reasoning + content + tool_calls + end, inputs, + THINK_START); + }); + + data.parser = parser.save(); + + if (include_grammar) { + data.grammar_lazy = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO; + data.grammar = build_grammar([&](const common_grammar_builder & builder) { + foreach_function(inputs.tools, [&](const json & tool) { + const auto & function = tool.at("function"); + auto schema = function.at("parameters"); + builder.resolve_refs(schema); + }); + parser.build_grammar(builder, data.grammar_lazy); + }); + + data.grammar_triggers = { + { COMMON_GRAMMAR_TRIGGER_TYPE_WORD, TOOL_CALL_START } + }; + } + + return data; +} + +static common_chat_params common_chat_params_init_gigachat_v3( + const common_chat_template & tmpl, + const autoparser::generation_params & inputs) { + + common_chat_params data; + + data.prompt = common_chat_template_direct_apply(tmpl, inputs); + data.format = COMMON_CHAT_FORMAT_PEG_NATIVE; + data.supports_thinking = false; + data.preserved_tokens = { + "<|message_sep|>\n\n", + "<|role_sep|>\n", + }; + + auto has_tools = inputs.tools.is_array() && !inputs.tools.empty(); + auto include_grammar = has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE; + const auto *tool_call_start_prefix = "<|message_sep|>\n\nfunction call<|role_sep|>\n"; + + auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) { + auto ret = p.eps(); + if (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE) { + // Build a choice of all available tools + auto tool_choice = p.choice(); + for (const auto & tool : inputs.tools) { + const auto & function = tool.at("function"); + std::string name = function.at("name"); + const auto & schema = function.at("parameters"); + + auto tool_name = p.json_member("name", "\"" + p.tool_name(p.literal(name)) + "\""); + auto tool_args = p.json_member("arguments", p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema))); + + auto tool_open = p.tool_open(p.literal("{") << tool_name); + + tool_choice |= p.rule("tool-" + name, tool_open << "," << tool_args << "}"); + } + + // Define the tool call structure + auto min_calls = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED ? 1 : 0; + auto max_calls = 1; // parallel toolcalls are not supported + auto tool_call = p.rule("tool-call", p.literal(tool_call_start_prefix) + tool_choice); + auto tool_calls = p.trigger_rule("tool-call-root", p.repeat(tool_call, /* min = */ min_calls, /* max = */ max_calls)); + + ret = p.content(p.until("<|message_sep|>\n\n")) << tool_calls; + } else { + // Content only parser + include_grammar = false; + ret = p.content(p.rest()); + } + + return wrap_for_generation_prompt(p, ret, inputs); + }); + + data.parser = parser.save(); + + if (include_grammar) { + data.grammar_lazy = has_tools && inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO; + + data.grammar = build_grammar([&](const common_grammar_builder & builder) { + foreach_function(inputs.tools, [&](const json & tool) { + const auto & function = tool.at("function"); + auto schema = function.at("parameters"); + builder.resolve_refs(schema); + }); + parser.build_grammar(builder, data.grammar_lazy); + }); + + data.grammar_triggers = { + {COMMON_GRAMMAR_TRIGGER_TYPE_WORD, tool_call_start_prefix} + }; + } + return data; +} + namespace workaround { +static void map_developer_role_to_system(json & messages) { + for (auto & message : messages) { + if (message.contains("role")) { + if (message["role"] == "developer") { + message["role"] = "system"; + } + } + } +} + + // if first message is system and template does not support it, merge it with next message static void system_message_not_supported(json & messages) { if (!messages.empty() && messages.front().at("role") == "system") { @@ -1334,63 +1491,10 @@ static json common_chat_extra_context() { return ctx; } -static common_chat_params common_chat_templates_apply_jinja(const struct common_chat_templates * tmpls, - const struct common_chat_templates_inputs & inputs) { - autoparser::templates_params params; - params.tools = common_chat_tools_to_json_oaicompat(inputs.tools); - const auto & tmpl = params.tools.is_array() && tmpls->template_tool_use - ? *tmpls->template_tool_use - : *tmpls->template_default; - const auto & src = tmpl.source(); - const auto & caps = tmpl.original_caps(); - params.messages = render_message_to_json(inputs.messages, tmpl.original_caps()); - params.add_generation_prompt = inputs.add_generation_prompt; - params.tool_choice = inputs.tool_choice; - params.reasoning_format = inputs.reasoning_format; - params.enable_thinking = inputs.enable_thinking; - params.grammar = inputs.grammar; - params.now = inputs.now; - params.add_bos = tmpls->add_bos; - params.add_eos = tmpls->add_eos; - - if (!tmpl.original_caps().supports_system_role) { - workaround::system_message_not_supported(params.messages); - } - - if (tmpl.original_caps().supports_tool_calls) { - // some templates will require the content field in tool call messages - // to still be non-null, this puts an empty string everywhere where the - // content field is null - workaround::requires_non_null_content(params.messages); - } - - params.extra_context = common_chat_extra_context(); - for (auto el : inputs.chat_template_kwargs) { - params.extra_context[el.first] = json::parse(el.second); - } - - if (!inputs.json_schema.empty()) { - params.json_schema = json::parse(inputs.json_schema); - } - - // if (inputs.parallel_tool_calls && !tmpl.original_caps().supports_parallel_tool_calls) { - // LOG_DBG("Disabling parallel_tool_calls because the template does not support it\n"); - // params.parallel_tool_calls = false; - // } else { - params.parallel_tool_calls = inputs.parallel_tool_calls; - //} - - if (params.tools.is_array()) { - if (params.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE && !params.grammar.empty()) { - throw std::runtime_error("Cannot specify grammar with tools"); - } - if (caps.supports_tool_calls && !caps.supports_tools) { - LOG_WRN( - "Template supports tool calls but does not natively describe tools. The fallback behaviour used may " - "produce bad results, inspect prompt w/ --verbose & consider overriding the template.\n"); - } - } - +static std::optional try_specialized_template( + const common_chat_template & tmpl, + const std::string & src, + const autoparser::generation_params & params) { // Ministral/Mistral Large 3 - uses special reasoning structure fixes, can't use autoparser // Note: Mistral Small 3.2 uses [CALL_ID] which Ministral doesn't have, so we can distinguish them if (src.find("[SYSTEM_PROMPT]") != std::string::npos && src.find("[TOOL_CALLS]") != std::string::npos && @@ -1420,12 +1524,128 @@ static common_chat_params common_chat_templates_apply_jinja(const struct common_ return common_chat_params_init_kimi_k2(tmpl, params); } + // LFM2 - uses <|tool_list_start|>/<|tool_list_end|> markers and <|tool_call_start|>[name(args)]<|tool_call_end|> format + // Detection: template has "<|tool_list_start|>" and "<|tool_list_end|>" markers + if (src.find("<|tool_list_start|>") != std::string::npos && + src.find("<|tool_list_end|>") != std::string::npos) { + LOG_DBG("Using specialized template: LFM2\n"); + return common_chat_params_init_lfm2(tmpl, params); + } + + // GigaChatV3 format detection + if (src.find("<|role_sep|>") != std::string::npos && + src.find("<|message_sep|>") != std::string::npos && + src.find("<|function_call|>") == std::string::npos) { + LOG_DBG("Using specialized template: GigaChatV3\n"); + return common_chat_params_init_gigachat_v3(tmpl, params); + } + + return std::nullopt; +} + +static common_chat_params common_chat_templates_apply_jinja(const struct common_chat_templates * tmpls, + const struct common_chat_templates_inputs & inputs) { + autoparser::generation_params params; + params.tools = common_chat_tools_to_json_oaicompat(inputs.tools); + const auto & tmpl = + params.tools.is_array() && tmpls->template_tool_use ? *tmpls->template_tool_use : *tmpls->template_default; + const auto & src = tmpl.source(); + const auto & caps = tmpl.original_caps(); + params.messages = render_message_to_json(inputs.messages, tmpl.original_caps()); + params.tool_choice = inputs.tool_choice; + params.reasoning_format = inputs.reasoning_format; + params.enable_thinking = inputs.enable_thinking; + params.grammar = inputs.grammar; + params.now = inputs.now; + params.add_bos = tmpls->add_bos; + params.add_eos = tmpls->add_eos; + + if (src.find("<|channel|>") == std::string::npos) { + // map developer to system for all models except for GPT-OSS + workaround::map_developer_role_to_system(params.messages); + } + + if (!tmpl.original_caps().supports_system_role) { + workaround::system_message_not_supported(params.messages); + } + + if (tmpl.original_caps().supports_tool_calls) { + // some templates will require the content field in tool call messages + // to still be non-null, this puts an empty string everywhere where the + // content field is null + workaround::requires_non_null_content(params.messages); + } + + if (tmpl.original_caps().supports_object_arguments) { + workaround::func_args_not_string(params.messages); + } + + params.add_generation_prompt = false; + std::string no_gen_prompt = common_chat_template_direct_apply(tmpl, params); + params.add_generation_prompt = true; + std::string gen_prompt = common_chat_template_direct_apply(tmpl, params); + auto diff = calculate_diff_split(no_gen_prompt, gen_prompt); + params.generation_prompt = diff.right; + + params.add_generation_prompt = inputs.add_generation_prompt; + + params.extra_context = common_chat_extra_context(); + for (auto el : inputs.chat_template_kwargs) { + params.extra_context[el.first] = json::parse(el.second); + } + + if (!inputs.json_schema.empty()) { + params.json_schema = json::parse(inputs.json_schema); + } + + params.parallel_tool_calls = inputs.parallel_tool_calls; + + if (params.tools.is_array()) { + if (params.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE && !params.grammar.empty()) { + throw std::runtime_error("Cannot specify grammar with tools"); + } + if (caps.supports_tool_calls && !caps.supports_tools) { + LOG_WRN( + "Template supports tool calls but does not natively describe tools. The fallback behaviour used may " + "produce bad results, inspect prompt w/ --verbose & consider overriding the template.\n"); + } + } + + if (inputs.force_pure_content) { + LOG_WRN("Forcing pure content template, will not render reasoning or tools separately."); + // Create the result structure + common_chat_params data; + auto params_copy = params; + params_copy.reasoning_format = COMMON_REASONING_FORMAT_NONE; + data.prompt = common_chat_template_direct_apply(tmpl, params_copy); + data.format = COMMON_CHAT_FORMAT_PEG_NATIVE; + data.generation_prompt = params.generation_prompt; + auto parser = build_chat_peg_parser([¶ms](common_chat_peg_builder &p) { + return wrap_for_generation_prompt(p, p.content(p.rest()), params); + }); + data.parser = parser.save(); + return data; + } + + if (auto result = try_specialized_template(tmpl, src, params)) { + result->generation_prompt = params.generation_prompt; + return *result; + } + try { - LOG_DBG("Using differential autoparser\n"); + LOG_DBG("%s: using differential autoparser\n", __func__); struct autoparser::autoparser autoparser; autoparser.analyze_template(tmpl); auto auto_params = autoparser::peg_generator::generate_parser(tmpl, params, autoparser); auto_params.supports_thinking = autoparser.reasoning.mode != autoparser::reasoning_mode::NONE; + if (auto_params.supports_thinking) { + auto_params.thinking_start_tag = autoparser.reasoning.start; + auto_params.thinking_end_tag = autoparser.reasoning.end; + } + auto_params.generation_prompt = params.generation_prompt; + common_peg_arena arena; + arena.load(auto_params.parser); + LOG_DBG("%s: generated parser:\n%s\n\nparser generation prompt: %s\n", __func__, arena.dump(arena.root()).c_str(), auto_params.generation_prompt.c_str()); return auto_params; } catch (const std::exception & e) { throw std::invalid_argument(std::string("Unable to generate parser for this template. Automatic parser generation failed: ") + e.what()); @@ -1519,14 +1739,22 @@ common_chat_msg common_chat_peg_parse(const common_peg_arena & src_pars build_chat_peg_parser([](common_chat_peg_builder & p) { return p.content(p.rest()) + p.end(); }) : src_parser; - if (src_parser.empty()) { - LOG_WRN("No parser definition detected, assuming pure content parser."); + if (src_parser.empty()) { + LOG_DBG("No parser definition detected, assuming pure content parser."); } - LOG_DBG("Parsing PEG input with format %s: %s\n", common_chat_format_name(params.format), input.c_str()); + const std::string effective_input = params.generation_prompt.empty() + ? input + : params.generation_prompt + input; - common_peg_parse_context ctx(input, is_partial); - ctx.debug = params.debug; + LOG_DBG("Parsing PEG input with format %s: %s\n", common_chat_format_name(params.format), effective_input.c_str()); + + common_peg_parse_flags flags = COMMON_PEG_PARSE_FLAG_LENIENT; + if (params.debug) { + flags |= COMMON_PEG_PARSE_FLAG_DEBUG; + } + + common_peg_parse_context ctx(effective_input, flags); auto result = parser.parse(ctx); if (result.fail()) { @@ -1539,14 +1767,14 @@ common_chat_msg common_chat_peg_parse(const common_peg_arena & src_pars auto mapper = common_chat_peg_mapper(msg); mapper.from_ast(ctx.ast, result); - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "\nAST for partial parse (fail):\n%s\n", ctx.ast.dump().c_str()); fflush(stderr); } return msg; } throw std::runtime_error(std::string("Failed to parse input at pos ") + std::to_string(result.end) + ": " + - input.substr(result.end)); + effective_input.substr(result.end)); } common_chat_msg msg; @@ -1555,7 +1783,7 @@ common_chat_msg common_chat_peg_parse(const common_peg_arena & src_pars auto mapper = common_chat_peg_mapper(msg); mapper.from_ast(ctx.ast, result); - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "\nAST for %s parse:\n%s\n", is_partial ? "partial" : "full", ctx.ast.dump().c_str()); fflush(stderr); } diff --git a/common/chat.h b/common/chat.h index 005cc5c8b3..6358a1893c 100644 --- a/common/chat.h +++ b/common/chat.h @@ -24,7 +24,7 @@ using json = nlohmann::ordered_json; struct common_chat_templates; namespace autoparser { -struct templates_params; +struct generation_params; } // namespace autoparser struct common_chat_tool_call { @@ -204,6 +204,7 @@ struct common_chat_templates_inputs { std::map chat_template_kwargs; bool add_bos = false; bool add_eos = false; + bool force_pure_content = false; }; struct common_chat_params { @@ -211,8 +212,10 @@ struct common_chat_params { std::string prompt; std::string grammar; bool grammar_lazy = false; - bool thinking_forced_open = false; + std::string generation_prompt; bool supports_thinking = false; + std::string thinking_start_tag; // e.g., "" + std::string thinking_end_tag; // e.g., "" std::vector grammar_triggers; std::vector preserved_tokens; std::vector additional_stops; @@ -226,14 +229,14 @@ struct common_chat_parser_params { common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_NONE; // TODO: refactor this to "bool parse_reasoning" // Whether reasoning_content should be inlined in the content (e.g. for reasoning_format=deepseek in stream mode) bool reasoning_in_content = false; - bool thinking_forced_open = false; + std::string generation_prompt; bool parse_tool_calls = true; bool debug = false; // Enable debug output for PEG parser common_peg_arena parser = {}; common_chat_parser_params() = default; common_chat_parser_params(const common_chat_params & chat_params) { - format = chat_params.format; - thinking_forced_open = chat_params.thinking_forced_open; + format = chat_params.format; + generation_prompt = chat_params.generation_prompt; } }; @@ -299,7 +302,7 @@ std::map common_chat_templates_get_caps(const common_chat_tem std::string common_chat_template_direct_apply( const common_chat_template & tmpl, - const autoparser::templates_params & inputs, + const autoparser::generation_params & inputs, const std::optional & messages_override = std::nullopt, const std::optional & tools_override = std::nullopt, const std::optional & additional_context = std::nullopt); diff --git a/common/common.cpp b/common/common.cpp index cc423d3439..59d75a3b95 100644 --- a/common/common.cpp +++ b/common/common.cpp @@ -1067,7 +1067,7 @@ common_init_result::common_init_result(common_params & params) : const llama_vocab * vocab = llama_model_get_vocab(model); - // load and optionally apply lora adapters (must be loaded before context creation) + // load and optionally apply lora adapters for (auto & la : params.lora_adapters) { llama_adapter_lora_ptr lora; lora.reset(llama_adapter_lora_init(model, la.path.c_str())); diff --git a/common/common.h b/common/common.h index 3e1b23f5d4..62201ea1ad 100644 --- a/common/common.h +++ b/common/common.h @@ -3,12 +3,14 @@ #pragma once #include "ggml-opt.h" +#include "ggml.h" #include "llama-cpp.h" #include #include #include #include +#include #include #include @@ -104,6 +106,8 @@ enum llama_example { LLAMA_EXAMPLE_DIFFUSION, LLAMA_EXAMPLE_FINETUNE, LLAMA_EXAMPLE_FIT_PARAMS, + LLAMA_EXAMPLE_RESULTS, + LLAMA_EXAMPLE_EXPORT_GRAPH_OPS, LLAMA_EXAMPLE_COUNT, }; @@ -176,6 +180,43 @@ enum common_speculative_type { COMMON_SPECULATIVE_TYPE_COUNT // number of types, unknown type }; +// Grammar type enumeration +enum common_grammar_type { + COMMON_GRAMMAR_TYPE_NONE, // no grammar set + COMMON_GRAMMAR_TYPE_USER, // user-provided GBNF (--grammar / "grammar" API field) + COMMON_GRAMMAR_TYPE_OUTPUT_FORMAT, // auto-generated from JSON schema (--json-schema / "json_schema" API field) + COMMON_GRAMMAR_TYPE_TOOL_CALLS, // auto-generated by chat template parser for function calling +}; + +// Grammar variant struct with type and grammar string +struct common_grammar { + common_grammar_type type = COMMON_GRAMMAR_TYPE_NONE; + std::string grammar; + + // Default constructor - no grammar + common_grammar() = default; + + // Constructor with type and grammar string + common_grammar(common_grammar_type t, std::string g) : type(t), grammar(std::move(g)) { + GGML_ASSERT(type != COMMON_GRAMMAR_TYPE_NONE || !grammar.empty()); + } + + // Check if a grammar is set + bool empty() const { return type == COMMON_GRAMMAR_TYPE_NONE || grammar.empty(); } +}; + +// Returns the raw grammar string, or empty string if no grammar is set. +inline const std::string & common_grammar_value(const common_grammar & g) { + return g.grammar; +} + +// Returns true when the generation_prompt should be prefilled into the grammar sampler. +// Only output-format and tool-call grammars need prefill; user-supplied grammars must not be prefilled. +inline bool common_grammar_needs_prefill(const common_grammar & g) { + return g.type == COMMON_GRAMMAR_TYPE_OUTPUT_FORMAT + || g.type == COMMON_GRAMMAR_TYPE_TOOL_CALLS; +} + // sampling parameters struct common_params_sampling { uint32_t seed = LLAMA_DEFAULT_SEED; // the seed used to initialize llama_sampler @@ -226,7 +267,7 @@ struct common_params_sampling { COMMON_SAMPLER_TYPE_TEMPERATURE, }; - std::string grammar; // optional BNF-like grammar to constrain sampling + common_grammar grammar; // optional grammar constraint (user / output-format / tool-calls) bool grammar_lazy = false; std::vector grammar_triggers; // optional triggers (for lazy grammars) std::set preserved_tokens; @@ -234,6 +275,19 @@ struct common_params_sampling { std::vector logit_bias; // logit biases to apply std::vector logit_bias_eog; // pre-calculated logit biases for EOG tokens + // The assistant generation prompt already prefilled into the prompt. + // Fed to the grammar sampler (to advance past pre-existing tokens) and used + // to determine the reasoning budget sampler's initial state. + // Only applied when the grammar is of output-format or tool-calls type. + std::string generation_prompt; + + // reasoning budget sampler parameters + // these are populated by the server/CLI based on chat template params + int32_t reasoning_budget_tokens = -1; // -1 = disabled, >= 0 = token budget + std::vector reasoning_budget_start; // start tag token sequence + std::vector reasoning_budget_end; // end tag token sequence + std::vector reasoning_budget_forced; // forced sequence (message + end tag) + bool backend_sampling = false; bool has_logit_bias() const { @@ -456,6 +510,8 @@ struct common_params { bool kl_divergence = false; // compute KL divergence + bool check = false; // check rather than generate results for llama-results + bool usage = false; // print usage bool completion = false; // print source-able completion script bool use_color = false; // use color to distinguish generations and inputs @@ -532,8 +588,11 @@ struct common_params { std::string chat_template = ""; // NOLINT bool use_jinja = true; // NOLINT bool enable_chat_template = true; + bool force_pure_content_parser = false; common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; + int enable_reasoning = -1; // -1 = auto, 0 = disable, 1 = enable int reasoning_budget = -1; + std::string reasoning_budget_message; // message injected before end tag when budget exhausted bool prefill_assistant = true; // if true, any trailing assistant message will be prefilled into the response int sleep_idle_seconds = -1; // if >0, server will sleep after this many seconds of idle time @@ -913,7 +972,7 @@ const char * const LLM_KV_SPLIT_TENSORS_COUNT = "split.tensors.count"; // MoE utils // -const char * const LLM_FFN_EXPS_REGEX = "\\.ffn_(up|down|gate)_(ch|)exps"; +const char * const LLM_FFN_EXPS_REGEX = "\\.ffn_(up|down|gate|gate_up)_(ch|)exps"; inline std::string llm_ffn_exps_block_regex(int idx) { return string_format("blk\\.%d%s", idx, LLM_FFN_EXPS_REGEX); diff --git a/common/http.h b/common/http.h index e8ed56f952..d3daccd6bf 100644 --- a/common/http.h +++ b/common/http.h @@ -7,6 +7,7 @@ struct common_http_url { std::string user; std::string password; std::string host; + int port; std::string path; }; @@ -47,6 +48,20 @@ static common_http_url common_http_parse_url(const std::string & url) { parts.host = rest; parts.path = "/"; } + + auto colon_pos = parts.host.find(':'); + + if (colon_pos != std::string::npos) { + parts.port = std::stoi(parts.host.substr(colon_pos + 1)); + parts.host = parts.host.substr(0, colon_pos); + } else if (parts.scheme == "http") { + parts.port = 80; + } else if (parts.scheme == "https") { + parts.port = 443; + } else { + throw std::runtime_error("unsupported URL scheme: " + parts.scheme); + } + return parts; } @@ -68,7 +83,7 @@ static std::pair common_http_client(const std: } #endif - httplib::Client cli(parts.scheme + "://" + parts.host); + httplib::Client cli(parts.scheme + "://" + parts.host + ":" + std::to_string(parts.port)); if (!parts.user.empty()) { cli.set_basic_auth(parts.user, parts.password); diff --git a/common/jinja/caps.cpp b/common/jinja/caps.cpp index 1158d5e5d6..ec207a53e8 100644 --- a/common/jinja/caps.cpp +++ b/common/jinja/caps.cpp @@ -75,6 +75,7 @@ std::map caps::to_map() const { {"supports_parallel_tool_calls", supports_parallel_tool_calls}, {"supports_system_role", supports_system_role}, {"supports_preserve_reasoning", supports_preserve_reasoning}, + {"supports_object_arguments", supports_object_arguments}, }; } @@ -158,9 +159,9 @@ caps caps_get(jinja::program & prog) { } ); - JJ_DEBUG("%s\n", ">>> Running capability check: single tool support"); + JJ_DEBUG("%s\n", ">>> Running capability check: single tool with object arguments support"); - // case: tools support: single call + // case: tools support: single call with object arguments caps_try_execute( prog, [&]() { @@ -226,9 +227,7 @@ caps caps_get(jinja::program & prog) { }, [&](bool success, value & messages, value & tools) { if (!success) { - result.supports_tool_calls = false; - result.supports_tools = false; - return; + return; // Nothing can be inferred } auto & tool_name = tools->at(0)->at("function")->at("name"); @@ -242,16 +241,117 @@ caps caps_get(jinja::program & prog) { caps_print_stats(tool_calls, "messages[1].tool_calls"); if (!tool_calls->stats.used) { result.supports_tool_calls = false; + return; + } + + auto & tool_arg = tool_calls->at(0)->at("function")->at("arguments")->at("arg"); + caps_print_stats(tool_arg, "messages[1].tool_calls[0].function.arguments.arg"); + if (tool_arg->stats.used) { + result.supports_object_arguments = true; } } ); + if (!result.supports_object_arguments) { + JJ_DEBUG("%s\n", ">>> Running capability check: single tool with string arguments support"); + + // case: tools support: single call with string arguments + caps_try_execute( + prog, + [&]() { + // messages + return json::array({ + { + {"role", "user"}, + {"content", "User message"}, + }, + { + {"role", "assistant"}, + {"content", ""}, // Some templates expect content to be empty with tool calls + {"tool_calls", json::array({ + { + {"id", "call00001"}, + {"type", "function"}, + {"function", { + {"name", "tool1"}, + {"arguments", R"({"arg": "value"})"} + }} + } + })} + }, + { + {"role", "tool"}, + {"content", "Tool response"}, + {"tool_call_id", "call00001"} + }, + { + {"role", "assistant"}, + {"content", "The tool response was 'tool response'"} + }, + { + {"role", "user"}, + {"content", "User message"}, + }, + }); + }, + [&]() { + // tools + return json::array({ + { + {"name", "tool"}, + {"type", "function"}, + {"function", { + {"name", "tool1"}, + {"description", "Tool description"}, + {"parameters", { + {"type", "object"}, + {"properties", { + {"arg", { + {"type", "string"}, + {"description", "Arg description"}, + }}, + }}, + {"required", json::array({ "arg" })}, + }}, + }}, + }, + }); + }, + [&](bool success, value & messages, value & tools) { + if (!success) { + result.supports_tool_calls = false; + result.supports_tools = false; + return; + } + + auto & tool_name = tools->at(0)->at("function")->at("name"); + caps_print_stats(tool_name, "tools[0].function.name"); + caps_print_stats(tools, "tools"); + if (!tool_name->stats.used) { + result.supports_tools = false; + } + + auto & tool_calls = messages->at(1)->at("tool_calls"); + caps_print_stats(tool_calls, "messages[1].tool_calls"); + if (!tool_calls->stats.used) { + result.supports_tool_calls = false; + return; + } + } + ); + } + JJ_DEBUG("%s\n", ">>> Running capability check: parallel tool support"); // case: tools support: parallel calls caps_try_execute( prog, [&]() { + json args = json(R"({"arg": "value"})"); + if (result.supports_object_arguments) { + args = json{{"arg", "value"}}; + } + // messages return json::array({ { @@ -267,9 +367,7 @@ caps caps_get(jinja::program & prog) { {"type", "function"}, {"function", { {"name", "tool1"}, - {"arguments", { - {"arg", "value"} - }} + {"arguments", args} }} }, { @@ -277,9 +375,7 @@ caps caps_get(jinja::program & prog) { {"type", "function"}, {"function", { {"name", "tool1"}, - {"arguments", { - {"arg", "value"} - }} + {"arguments", args} }} } })} @@ -328,7 +424,7 @@ caps caps_get(jinja::program & prog) { return; } - auto & tool_calls = messages->at(1)->at("tool_calls");; + auto & tool_calls = messages->at(1)->at("tool_calls"); caps_print_stats(tool_calls, "messages[1].tool_calls"); // check for second tool call usage diff --git a/common/jinja/caps.h b/common/jinja/caps.h index e694e7bfaa..93a7fe0926 100644 --- a/common/jinja/caps.h +++ b/common/jinja/caps.h @@ -18,6 +18,8 @@ struct caps { bool supports_string_content = true; bool supports_typed_content = false; + bool supports_object_arguments = false; + // for reporting on server std::map to_map() const; diff --git a/common/jinja/value.h b/common/jinja/value.h index 6cbedefd96..7d164588ad 100644 --- a/common/jinja/value.h +++ b/common/jinja/value.h @@ -451,7 +451,7 @@ struct value_array_t : public value_t { } protected: virtual bool equivalent(const value_t & other) const override { - return typeid(*this) == typeid(other) && is_hashable() && other.is_hashable() && std::equal(val_arr.begin(), val_arr.end(), other.val_arr.begin(), value_equivalence()); + return typeid(*this) == typeid(other) && is_hashable() && other.is_hashable() && std::equal(val_arr.begin(), val_arr.end(), other.val_arr.begin(), other.val_arr.end(), value_equivalence()); } }; using value_array = std::shared_ptr; @@ -587,7 +587,7 @@ struct value_object_t : public value_t { } protected: virtual bool equivalent(const value_t & other) const override { - return typeid(*this) == typeid(other) && is_hashable() && other.is_hashable() && std::equal(val_obj.begin(), val_obj.end(), other.val_obj.begin(), value_equivalence()); + return typeid(*this) == typeid(other) && is_hashable() && other.is_hashable() && std::equal(val_obj.begin(), val_obj.end(), other.val_obj.begin(), other.val_obj.end(), value_equivalence()); } }; using value_object = std::shared_ptr; diff --git a/common/json-schema-to-grammar.cpp b/common/json-schema-to-grammar.cpp index 27f13f034e..c7057d651d 100644 --- a/common/json-schema-to-grammar.cpp +++ b/common/json-schema-to-grammar.cpp @@ -790,7 +790,7 @@ public: } else if (target.is_array()) { size_t sel_index; try { - sel_index = std::stoul(sel); + sel_index = std::stoull(sel); } catch (const std::invalid_argument & e) { sel_index = target.size(); } diff --git a/common/peg-parser.cpp b/common/peg-parser.cpp index 48379f1ec8..a6d9a4c27c 100644 --- a/common/peg-parser.cpp +++ b/common/peg-parser.cpp @@ -349,7 +349,7 @@ struct parser_executor { auto pos = start_pos; for (auto i = 0u; i < p.literal.size(); ++i) { if (pos >= ctx.input.size()) { - if (!ctx.is_partial) { + if (!ctx.is_lenient()) { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos); @@ -364,7 +364,7 @@ struct parser_executor { } common_peg_parse_result operator()(const common_peg_sequence_parser & p) { - if (ctx.debug) { + if (ctx.is_debug()) { LOG_DBG("%sSEQ start at %zu '%s' (%zu children)\n", debug_indent().c_str(), start_pos, debug_input_snippet(start_pos).c_str(), p.children.size()); } @@ -375,26 +375,19 @@ struct parser_executor { for (size_t i = 0; i < p.children.size(); i++) { const auto & child_id = p.children[i]; - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sSEQ child %zu: %s\n", debug_indent().c_str(), i, arena.dump(child_id).c_str()); } auto result = arena.parse(child_id, ctx, pos); - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sSEQ child %zu: %s at %zu->%zu\n", debug_indent().c_str(), i, common_peg_parse_result_type_name(result.type), result.start, result.end); } if (result.fail()) { ctx.parse_depth--; - if (ctx.is_partial && result.end >= ctx.input.size()) { - if (ctx.debug) { - fprintf(stderr, "%sSEQ -> NEED_MORE (child failed at end)\n", debug_indent().c_str()); - } - return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, result.end, - std::move(nodes)); - } - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sSEQ -> FAIL\n", debug_indent().c_str()); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos, result.end); @@ -406,7 +399,7 @@ struct parser_executor { if (result.need_more_input()) { ctx.parse_depth--; - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sSEQ -> NEED_MORE\n", debug_indent().c_str()); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, result.end, std::move(nodes)); @@ -416,14 +409,14 @@ struct parser_executor { } ctx.parse_depth--; - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sSEQ -> SUCCESS at %zu->%zu\n", debug_indent().c_str(), start_pos, pos); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start_pos, pos, std::move(nodes)); } common_peg_parse_result operator()(const common_peg_choice_parser & p) { - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sCHOICE start at %zu '%s' (%zu options)\n", debug_indent().c_str(), start_pos, debug_input_snippet(start_pos).c_str(), p.children.size()); } @@ -432,17 +425,17 @@ struct parser_executor { auto pos = start_pos; for (size_t i = 0; i < p.children.size(); i++) { const auto & child_id = p.children[i]; - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sCHOICE option %zu: %s\n", debug_indent().c_str(), i, arena.dump(child_id).c_str()); } auto result = arena.parse(child_id, ctx, pos); - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sCHOICE option %zu: %s\n", debug_indent().c_str(), i, common_peg_parse_result_type_name(result.type)); } if (!result.fail()) { ctx.parse_depth--; - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sCHOICE -> %s (option %zu)\n", debug_indent().c_str(), common_peg_parse_result_type_name(result.type), i); } @@ -451,14 +444,14 @@ struct parser_executor { } ctx.parse_depth--; - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sCHOICE -> FAIL (no options matched)\n", debug_indent().c_str()); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos); } common_peg_parse_result operator()(const common_peg_repetition_parser & p) { - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sREPEAT start at %zu '%s' (min=%d, max=%d)\n", debug_indent().c_str(), start_pos, debug_input_snippet(start_pos).c_str(), p.min_count, p.max_count); } @@ -471,7 +464,7 @@ struct parser_executor { // Try to match up to max_count times (or unlimited if max_count is -1) while (p.max_count == -1 || match_count < p.max_count) { if (pos >= ctx.input.size()) { - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sREPEAT: at end of input, count=%d\n", debug_indent().c_str(), match_count); } break; @@ -479,7 +472,7 @@ struct parser_executor { auto result = arena.parse(p.child, ctx, pos); - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sREPEAT iter %d: %s at %zu->%zu, nodes=%zu\n", debug_indent().c_str(), match_count, common_peg_parse_result_type_name(result.type), result.start, result.end, result.nodes.size()); fprintf(stderr, "%sREPEAT CHILD: %s\n", debug_indent().c_str(), arena.dump(p.child).c_str()); @@ -488,7 +481,7 @@ struct parser_executor { if (result.success()) { // Prevent infinite loop on empty matches if (result.end == pos) { - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%s REPEAT: empty match, stopping\n", debug_indent().c_str()); } break; @@ -509,7 +502,7 @@ struct parser_executor { } ctx.parse_depth--; - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sREPEAT -> NEED_MORE (count=%d, nodes=%zu)\n", debug_indent().c_str(), match_count, nodes.size()); } @@ -517,7 +510,7 @@ struct parser_executor { } // Child failed - stop trying - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sREPEAT: child failed, stopping\n", debug_indent().c_str()); } break; @@ -526,14 +519,14 @@ struct parser_executor { // Check if we got enough matches if (p.min_count > 0 && match_count < p.min_count) { ctx.parse_depth--; - if (pos >= ctx.input.size() && ctx.is_partial) { - if (ctx.debug) { + if (pos >= ctx.input.size() && ctx.is_lenient()) { + if (ctx.is_debug()) { fprintf(stderr, "%sREPEAT -> NEED_MORE (not enough matches: %d < %d)\n", debug_indent().c_str(), match_count, p.min_count); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos, std::move(nodes)); } - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sREPEAT -> FAIL (not enough matches: %d < %d)\n", debug_indent().c_str(), match_count, p.min_count); } @@ -541,7 +534,7 @@ struct parser_executor { } ctx.parse_depth--; - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sREPEAT -> SUCCESS (count=%d, nodes=%zu)\n", debug_indent().c_str(), match_count, nodes.size()); } @@ -576,7 +569,7 @@ struct parser_executor { auto result = common_parse_utf8_codepoint(ctx.input, start_pos); if (result.status == utf8_parse_result::INCOMPLETE) { - if (!ctx.is_partial) { + if (!ctx.is_lenient()) { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos); @@ -615,7 +608,7 @@ struct parser_executor { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start_pos, pos); } // Not enough matches yet - if (!ctx.is_partial) { + if (!ctx.is_lenient()) { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos); @@ -656,7 +649,7 @@ struct parser_executor { // Check if we got enough matches if (match_count < p.min_count) { - if (pos >= ctx.input.size() && ctx.is_partial) { + if (pos >= ctx.input.size() && ctx.is_lenient()) { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos, pos); @@ -665,32 +658,23 @@ struct parser_executor { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start_pos, pos); } - static common_peg_parse_result handle_escape_sequence(common_peg_parse_context & ctx, size_t start, size_t & pos) { + static common_peg_parse_result handle_escape_sequence(common_peg_parse_context & ctx, size_t start, size_t & pos, const char delimiter) { ++pos; // consume '\' if (pos >= ctx.input.size()) { - if (!ctx.is_partial) { + if (!ctx.is_lenient()) { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start, pos); } - switch (ctx.input[pos]) { - case '"': - case '\'': - case '\\': - case '/': - case 'b': - case 'f': - case 'n': - case 'r': - case 't': - ++pos; - return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start, pos); - case 'u': - return handle_unicode_escape(ctx, start, pos); - default: - // Invalid escape sequence - return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start); + char c = ctx.input[pos]; + if (c == delimiter || c == '\\' || c == '/' || c == 'b' || c == 'f' || c == 'n' || c == 'r' || c == 't') { + ++pos; + return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start, pos); + } else if (c == 'u') { + return handle_unicode_escape(ctx, start, pos); + } else { + return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start); } } @@ -698,7 +682,7 @@ struct parser_executor { ++pos; // consume 'u' for (int i = 0; i < 4; ++i) { if (pos >= ctx.input.size()) { - if (!ctx.is_partial) { + if (!ctx.is_lenient()) { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start, pos); @@ -711,20 +695,20 @@ struct parser_executor { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start, pos); } - common_peg_parse_result operator()(const common_peg_json_string_parser & /* p */) { + common_peg_parse_result operator()(const common_peg_string_parser & p) { auto pos = start_pos; // Parse string content (without quotes) while (pos < ctx.input.size()) { char c = ctx.input[pos]; - if (c == '"') { - // Found closing quote - success (don't consume it) + if (c == p.delimiter) { + // Found closing delimiter - success (don't consume it) return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start_pos, pos); } if (c == '\\') { - auto result = handle_escape_sequence(ctx, start_pos, pos); + auto result = handle_escape_sequence(ctx, start_pos, pos, p.delimiter); if (!result.success()) { return result; } @@ -732,7 +716,7 @@ struct parser_executor { auto utf8_result = common_parse_utf8_codepoint(ctx.input, pos); if (utf8_result.status == utf8_parse_result::INCOMPLETE) { - if (!ctx.is_partial) { + if (!ctx.is_lenient()) { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos); @@ -747,49 +731,7 @@ struct parser_executor { } // Reached end without finding closing quote - if (!ctx.is_partial) { - return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos, pos); - } - return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos); - } - - common_peg_parse_result operator()(const common_peg_python_dict_string_parser & /* p */) { - auto pos = start_pos; - - // Parse string content (without quotes) - while (pos < ctx.input.size()) { - char c = ctx.input[pos]; - - if (c == '\'') { - // Found closing quote - success (don't consume it) - return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start_pos, pos); - } - - if (c == '\\') { - auto result = handle_escape_sequence(ctx, start_pos, pos); - if (!result.success()) { - return result; - } - } else { - auto utf8_result = common_parse_utf8_codepoint(ctx.input, pos); - - if (utf8_result.status == utf8_parse_result::INCOMPLETE) { - if (!ctx.is_partial) { - return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos); - } - return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos); - } - - if (utf8_result.status == utf8_parse_result::INVALID) { - return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos); - } - - pos += utf8_result.bytes_consumed; - } - } - - // Reached end without finding closing quote - if (!ctx.is_partial) { + if (!ctx.is_lenient()) { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos, pos); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos); @@ -807,7 +749,7 @@ struct parser_executor { if (utf8_result.status == utf8_parse_result::INCOMPLETE) { // Incomplete UTF-8 sequence - if (!ctx.is_partial) { + if (!ctx.is_lenient()) { // Input is complete but UTF-8 is incomplete = malformed return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos); } @@ -837,7 +779,7 @@ struct parser_executor { last_valid_pos = pos; } - if (last_valid_pos == ctx.input.size() && ctx.is_partial) { + if (last_valid_pos == ctx.input.size() && ctx.is_lenient()) { // Reached the end of a partial stream, there might still be more input that we need to consume. return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, last_valid_pos); } @@ -876,7 +818,7 @@ struct parser_executor { common_peg_parse_result operator()(const common_peg_tag_parser & p) { // Parse the child - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sTAG: %s\n", debug_indent().c_str(), p.tag.c_str()); } auto result = arena.parse(p.child, ctx, start_pos); @@ -995,8 +937,7 @@ void common_peg_arena::resolve_refs() { std::is_same_v || std::is_same_v || std::is_same_v || - std::is_same_v || - std::is_same_v || + std::is_same_v || std::is_same_v || std::is_same_v || std::is_same_v) { @@ -1072,10 +1013,8 @@ std::string common_peg_arena::dump_impl(common_peg_parser_id return "CharRepeat(" + p.pattern + ", " + std::to_string(p.min_count) + ", unbounded)"; } return "CharRepeat(" + p.pattern + ", " + std::to_string(p.min_count) + ", " + std::to_string(p.max_count) + ")"; - } else if constexpr (std::is_same_v) { - return "JsonString()"; - } else if constexpr (std::is_same_v) { - return "PythonDictString()"; + } else if constexpr (std::is_same_v) { + return "String(" + std::string(1, p.delimiter) + ")"; } else if constexpr (std::is_same_v) { return "Until(" + string_join(p.delimiters, " | ") + ")"; } else if constexpr (std::is_same_v) { @@ -1288,47 +1227,25 @@ common_peg_arena common_peg_parser_builder::build() { // String primitives -common_peg_parser common_peg_parser_builder::json_string_content() { - return wrap(arena_.add_parser(common_peg_json_string_parser{})); -} - -common_peg_parser common_peg_parser_builder::single_quoted_string_content() { - return wrap(arena_.add_parser(common_peg_python_dict_string_parser{})); +common_peg_parser common_peg_parser_builder::string_content(char delimiter) { + return wrap(arena_.add_parser(common_peg_string_parser{delimiter})); } common_peg_parser common_peg_parser_builder::double_quoted_string() { - return rule("dq-string", - [this]() { return sequence({ literal("\""), json_string_content(), literal("\""), space() }); }); -} - -common_peg_parser common_peg_parser_builder::single_quoted_string() { - return rule("sq-string", - [this]() { return sequence({ literal("'"), single_quoted_string_content(), literal("'"), space() }); }); -} - -common_peg_parser common_peg_parser_builder::flexible_string() { - return rule("flexible-string", [this]() { return choice({ double_quoted_string(), single_quoted_string() }); }); -} - -// Generic helpers for object/array structure - -common_peg_parser common_peg_parser_builder::generic_object(const std::string & name, - const common_peg_parser & string_parser, - const common_peg_parser & value_parser) { - return rule(name, [this, string_parser, value_parser]() { - auto ws = space(); - auto member = sequence({ string_parser, ws, literal(":"), ws, value_parser }); - auto members = sequence({ member, zero_or_more(sequence({ ws, literal(","), ws, member })) }); - return sequence({ literal("{"), ws, choice({ literal("}"), sequence({ members, ws, literal("}") }) }) }); + return rule("double-quoted-string", [this]() { + return sequence({literal("\""), string_content('"'), literal("\""), space()}); }); } -common_peg_parser common_peg_parser_builder::generic_array(const std::string & name, - const common_peg_parser & value_parser) { - return rule(name, [this, value_parser]() { - auto ws = space(); - auto elements = sequence({ value_parser, zero_or_more(sequence({ literal(","), ws, value_parser })) }); - return sequence({ literal("["), ws, choice({ literal("]"), sequence({ elements, ws, literal("]") }) }) }); +common_peg_parser common_peg_parser_builder::single_quoted_string() { + return rule("single-quoted-string", [this]() { + return sequence({literal("'"), string_content('\''), literal("'"), space()}); + }); +} + +common_peg_parser common_peg_parser_builder::quoted_string() { + return rule("quoted-string", [this]() { + return choice({double_quoted_string(), single_quoted_string()}); }); } @@ -1351,7 +1268,7 @@ common_peg_parser common_peg_parser_builder::json_number() { common_peg_parser common_peg_parser_builder::json_string() { return rule("json-string", [this]() { - return sequence({literal("\""), json_string_content(), literal("\""), space()}); + return sequence({literal("\""), string_content('"'), literal("\""), space()}); }); } @@ -1368,11 +1285,36 @@ common_peg_parser common_peg_parser_builder::json_null() { } common_peg_parser common_peg_parser_builder::json_object() { - return generic_object("json-object", json_string(), json()); + return rule("json-object", [this]() { + auto ws = space(); + auto member = sequence({json_string(), ws, literal(":"), ws, json()}); + auto members = sequence({member, zero_or_more(sequence({ws, literal(","), ws, member}))}); + return sequence({ + literal("{"), + ws, + choice({ + literal("}"), + sequence({members, ws, literal("}")}) + }), + ws + }); + }); } common_peg_parser common_peg_parser_builder::json_array() { - return generic_array("json-array", json()); + return rule("json-array", [this]() { + auto ws = space(); + auto elements = sequence({json(), zero_or_more(sequence({literal(","), ws, json()}))}); + return sequence({ + literal("["), + ws, + choice({ + literal("]"), + sequence({elements, ws, literal("]")}) + }), + ws + }); + }); } common_peg_parser common_peg_parser_builder::json() { @@ -1389,7 +1331,9 @@ common_peg_parser common_peg_parser_builder::json() { } common_peg_parser common_peg_parser_builder::python_string() { - return rule("python-string", [this]() { return choice({ double_quoted_string(), single_quoted_string() }); }); + return rule("python-string", [this]() { + return choice({double_quoted_string(), single_quoted_string()}); + }); } common_peg_parser common_peg_parser_builder::python_number() { @@ -1397,24 +1341,63 @@ common_peg_parser common_peg_parser_builder::python_number() { } common_peg_parser common_peg_parser_builder::python_bool() { - return rule("python-bool", [this]() { return sequence({ choice({ literal("True"), literal("False") }), space() }); }); + return rule("python-bool", [this]() { + return sequence({ + choice({literal("True"), literal("False")}), + space() + }); + }); } common_peg_parser common_peg_parser_builder::python_null() { - return rule("python-none", [this]() { return sequence({ literal("None"), space() }); }); + return rule("python-none", [this]() { + return sequence({literal("None"), space()}); + }); } common_peg_parser common_peg_parser_builder::python_dict() { - return generic_object("python-dict", python_string(), python_value()); + return rule("python-dict", [this]() { + auto ws = space(); + auto member = sequence({python_string(), ws, literal(":"), ws, python_value()}); + auto members = sequence({member, zero_or_more(sequence({ws, literal(","), ws, member}))}); + return sequence({ + literal("{"), + ws, + choice({ + literal("}"), + sequence({members, ws, literal("}")}) + }), + ws + }); + }); } common_peg_parser common_peg_parser_builder::python_array() { - return generic_array("python-array", python_value()); + return rule("python-array", [this]() { + auto ws = space(); + auto elements = sequence({python_value(), zero_or_more(sequence({literal(","), ws, python_value()}))}); + return sequence({ + literal("["), + ws, + choice({ + literal("]"), + sequence({elements, ws, literal("]")}) + }), + ws + }); + }); } common_peg_parser common_peg_parser_builder::python_value() { return rule("python-value", [this]() { - return choice({ python_dict(), python_array(), python_string(), python_number(), python_bool(), python_null() }); + return choice({ + python_dict(), + python_array(), + python_string(), + python_number(), + python_bool(), + python_null() + }); }); } @@ -1535,8 +1518,7 @@ static std::unordered_set collect_reachable_rules( std::is_same_v || std::is_same_v || std::is_same_v || - std::is_same_v || - std::is_same_v) { + std::is_same_v) { // These parsers do not have any children } else if constexpr (std::is_same_v) { for (auto child : p.children) { @@ -1672,10 +1654,9 @@ void common_peg_arena::build_grammar(const common_grammar_builder & builder, boo return result + "{" + std::to_string(p.min_count) + "}"; } return result + "{" + std::to_string(p.min_count) + "," + std::to_string(p.max_count) + "}"; - } else if constexpr (std::is_same_v) { - return R"(( [^"\\] | "\\" ( ["\\/ bfnrt] | "u" [0-9a-fA-F]{4} ) )*)"; - } else if constexpr (std::is_same_v) { - return R"(( [^"\\] | "\\" ( ["\\/ bfnrt] | "u" [0-9a-fA-F]{4} ) )*)"; + } else if constexpr (std::is_same_v) { + const std::string delim(1, p.delimiter); + return R"(( [^)" + delim + R"(\\] | "\\" ( [)" + delim + R"(\\/ bfnrt] | "u" [0-9a-fA-F]{4} ) )*)"; } else if constexpr (std::is_same_v) { if (p.delimiters.empty()) { return ".*"; @@ -1805,10 +1786,8 @@ static nlohmann::json serialize_parser_variant(const common_peg_parser_variant & {"min_count", p.min_count}, {"max_count", p.max_count} }; - } else if constexpr (std::is_same_v) { - return json{{"type", "json_string"}}; - } else if constexpr (std::is_same_v) { - return json{{ "type", "python_dict_string" }}; + } else if constexpr (std::is_same_v) { + return json{{"type", "string"}, {"delimiter", std::string(1, p.delimiter)}}; } else if constexpr (std::is_same_v) { return json{{"type", "until"}, {"delimiters", p.delimiters}}; } else if constexpr (std::is_same_v) { @@ -1935,11 +1914,15 @@ static common_peg_parser_variant deserialize_parser_variant(const nlohmann::json } return parser; } - if (type == "json_string") { - return common_peg_json_string_parser{}; - } - if (type == "python_dict_string") { - return common_peg_python_dict_string_parser{}; + if (type == "string") { + if (!j.contains("delimiter")) { + throw std::runtime_error("string parser missing delimiter field."); + } + std::string delimiter = j["delimiter"]; + if (delimiter.empty()) { + throw std::runtime_error("string parser delimiter is empty."); + } + return common_peg_string_parser{delimiter[0]}; } if (type == "until") { if (!j.contains("delimiters") || !j["delimiters"].is_array()) { diff --git a/common/peg-parser.h b/common/peg-parser.h index 57d4bcd8ea..31cdf9ec2d 100644 --- a/common/peg-parser.h +++ b/common/peg-parser.h @@ -139,22 +139,43 @@ struct common_peg_parse_result { bool success() const { return type == COMMON_PEG_PARSE_RESULT_SUCCESS; } }; +enum common_peg_parse_flags { + COMMON_PEG_PARSE_FLAG_NONE = 0, + COMMON_PEG_PARSE_FLAG_LENIENT = 1 << 0, + COMMON_PEG_PARSE_FLAG_DEBUG = 1 << 1, +}; + +inline common_peg_parse_flags operator|(common_peg_parse_flags a, common_peg_parse_flags b) { + return static_cast(int(a) | int(b)); +} + +inline common_peg_parse_flags & operator|=(common_peg_parse_flags & a, common_peg_parse_flags b) { + return a = a | b; +} + +inline common_peg_parse_flags operator&(common_peg_parse_flags a, common_peg_parse_flags b) { + return static_cast(int(a) & int(b)); +} + +inline common_peg_parse_flags operator~(common_peg_parse_flags a) { + return static_cast(~int(a)); +} + struct common_peg_parse_context { std::string input; - bool is_partial; - bool debug = false; // Enable debug output for parser tracing + common_peg_parse_flags flags; common_peg_ast_arena ast; int parse_depth; - common_peg_parse_context() - : is_partial(false), parse_depth(0) {} + common_peg_parse_context(common_peg_parse_flags flags = COMMON_PEG_PARSE_FLAG_NONE) + : flags(flags), parse_depth(0) {} - common_peg_parse_context(const std::string & input) - : input(input), is_partial(false), parse_depth(0) {} + common_peg_parse_context(const std::string & input, common_peg_parse_flags flags = COMMON_PEG_PARSE_FLAG_NONE) + : input(input), flags(flags), parse_depth(0) {} - common_peg_parse_context(const std::string & input, bool is_partial) - : input(input), is_partial(is_partial), parse_depth(0) {} + bool is_lenient() const { return flags & COMMON_PEG_PARSE_FLAG_LENIENT; } + bool is_debug() const { return flags & COMMON_PEG_PARSE_FLAG_DEBUG; } }; class common_peg_arena; @@ -210,8 +231,9 @@ struct common_peg_chars_parser { int max_count; // -1 for unbounded }; -struct common_peg_json_string_parser {}; -struct common_peg_python_dict_string_parser {}; +struct common_peg_string_parser { + char delimiter; +}; struct common_peg_until_parser { std::vector delimiters; @@ -259,8 +281,7 @@ using common_peg_parser_variant = std::variant< common_peg_any_parser, common_peg_space_parser, common_peg_chars_parser, - common_peg_json_string_parser, - common_peg_python_dict_string_parser, + common_peg_string_parser, common_peg_until_parser, common_peg_schema_parser, common_peg_rule_parser, @@ -319,10 +340,6 @@ class common_peg_parser_builder { common_peg_parser wrap(common_peg_parser_id id) { return common_peg_parser(id, *this); } common_peg_parser add(const common_peg_parser_variant & p) { return wrap(arena_.add_parser(p)); } - // Generic helpers for building object/array structures with configurable string/value parsers. - common_peg_parser generic_object(const std::string & name, const common_peg_parser & string_parser, const common_peg_parser & value_parser); - common_peg_parser generic_array(const std::string & name, const common_peg_parser & value_parser); - public: common_peg_parser_builder(); @@ -423,13 +440,10 @@ class common_peg_parser_builder { common_peg_parser single_quoted_string(); // Matches a string that accepts both double-quoted and single-quoted styles. - common_peg_parser flexible_string(); + common_peg_parser quoted_string(); - // Matches double-quoted string content without the surrounding quotes. - common_peg_parser json_string_content(); - - // Matches single-quoted string content without the surrounding quotes. - common_peg_parser single_quoted_string_content(); + // Matches string content without the surrounding delimiter. + common_peg_parser string_content(char delimiter); // Creates a complete JSON parser supporting objects, arrays, strings, numbers, booleans, and null. // value -> object | array | string | number | true | false | null diff --git a/common/reasoning-budget.cpp b/common/reasoning-budget.cpp new file mode 100644 index 0000000000..2ef744278a --- /dev/null +++ b/common/reasoning-budget.cpp @@ -0,0 +1,263 @@ +#include "reasoning-budget.h" +#include "common.h" +#include "unicode.h" + +#include "log.h" + +#include +#include +#include +#include + +struct token_matcher { + std::vector tokens; + size_t pos = 0; + + bool advance(llama_token token) { + if (tokens.empty()) { + return false; + } + + if (token == tokens[pos]) { + pos++; + if (pos >= tokens.size()) { + pos = 0; + return true; + } + } else { + pos = 0; + if (token == tokens[0]) { + pos = 1; + } + } + return false; + } + + void reset() { pos = 0; } +}; + +struct common_reasoning_budget_ctx { + const llama_vocab * vocab; + + token_matcher start_matcher; + token_matcher end_matcher; + std::vector forced_tokens; + + int32_t budget; // maximum tokens in reasoning block + int32_t remaining; // tokens remaining in budget + + common_reasoning_budget_state state; + + // for forcing + size_t force_pos; // next position in forced_tokens to force +}; + +static const char * common_reasoning_budget_name(const struct llama_sampler * /*smpl*/) { + return "reasoning-budget"; +} + +static void common_reasoning_budget_accept(struct llama_sampler * smpl, llama_token token) { + auto * ctx = (common_reasoning_budget_ctx *) smpl->ctx; + + switch (ctx->state) { + case REASONING_BUDGET_IDLE: + { + if (ctx->start_matcher.advance(token)) { + ctx->state = REASONING_BUDGET_COUNTING; + ctx->remaining = ctx->budget; + LOG_INF("reasoning-budget: activated, budget=%d tokens\n", ctx->budget); + + if (ctx->remaining <= 0) { + ctx->state = REASONING_BUDGET_FORCING; + ctx->force_pos = 0; + LOG_INF("reasoning-budget: budget=0, forcing immediately\n"); + } + } + break; + } + case REASONING_BUDGET_COUNTING: + case REASONING_BUDGET_WAITING_UTF8: + { + if (ctx->end_matcher.advance(token)) { + ctx->state = REASONING_BUDGET_DONE; + LOG_INF("reasoning-budget: deactivated (natural end)\n"); + break; + } + + bool utf8_complete = true; + if (ctx->vocab != nullptr) { + const std::string piece = common_token_to_piece(ctx->vocab, token, false); + utf8_complete = common_utf8_is_complete(piece); + } + + if (ctx->state == REASONING_BUDGET_WAITING_UTF8) { + if (utf8_complete) { + ctx->state = REASONING_BUDGET_FORCING; + ctx->force_pos = 0; + ctx->end_matcher.reset(); + LOG_INF("reasoning-budget: UTF-8 complete, now forcing end sequence\n"); + } + } else if (ctx->state == REASONING_BUDGET_COUNTING) { + ctx->remaining--; + if (ctx->remaining <= 0) { + if (utf8_complete) { + ctx->state = REASONING_BUDGET_FORCING; + ctx->force_pos = 0; + ctx->end_matcher.reset(); + LOG_INF("reasoning-budget: budget exhausted, forcing end sequence\n"); + } else { + ctx->state = REASONING_BUDGET_WAITING_UTF8; + ctx->end_matcher.reset(); + LOG_INF("reasoning-budget: budget exhausted, waiting for UTF-8 completion\n"); + } + } + } + break; + } + case REASONING_BUDGET_FORCING: + // force_pos is advanced in apply(), not here. + // This ensures the first forced token isn't skipped when the sampler + // is initialized directly in FORCING state (e.g. COUNTING + budget=0) + break; + case REASONING_BUDGET_DONE: + break; + } +} + +static void common_reasoning_budget_apply(struct llama_sampler * smpl, llama_token_data_array * cur_p) { + auto * ctx = (common_reasoning_budget_ctx *) smpl->ctx; + + if (ctx->state != REASONING_BUDGET_FORCING) { + // passthrough — don't modify logits + return; + } + + if (ctx->force_pos >= ctx->forced_tokens.size()) { + return; + } + + const llama_token forced = ctx->forced_tokens[ctx->force_pos]; + + // set all logits to -inf except the forced token + for (size_t i = 0; i < cur_p->size; i++) { + if (cur_p->data[i].id != forced) { + cur_p->data[i].logit = -INFINITY; + } + } + + // advance to next forced token (done here rather than in accept so that + // the first forced token isn't skipped when starting in FORCING state) + ctx->force_pos++; + if (ctx->force_pos >= ctx->forced_tokens.size()) { + ctx->state = REASONING_BUDGET_DONE; + LOG_INF("reasoning-budget: forced sequence complete, done\n"); + } +} + +static void common_reasoning_budget_reset(struct llama_sampler * smpl) { + auto * ctx = (common_reasoning_budget_ctx *) smpl->ctx; + ctx->state = REASONING_BUDGET_IDLE; + ctx->remaining = ctx->budget; + ctx->start_matcher.reset(); + ctx->end_matcher.reset(); + ctx->force_pos = 0; +} + +// forward declaration for use in clone +static struct llama_sampler * common_reasoning_budget_init_state( + const struct llama_vocab * vocab, const std::vector & start_tokens, + const std::vector & end_tokens, const std::vector & forced_tokens, + int32_t budget, common_reasoning_budget_state initial_state); + +static struct llama_sampler * common_reasoning_budget_clone(const struct llama_sampler * smpl) { + const auto * ctx = (const common_reasoning_budget_ctx *) smpl->ctx; + return common_reasoning_budget_init_state( + ctx->vocab, + ctx->start_matcher.tokens, + ctx->end_matcher.tokens, + ctx->forced_tokens, + ctx->budget, + ctx->state); +} + +static void common_reasoning_budget_free(struct llama_sampler * smpl) { + delete (common_reasoning_budget_ctx *) smpl->ctx; +} + +static struct llama_sampler_i common_reasoning_budget_i = { + /* .name = */ common_reasoning_budget_name, + /* .accept = */ common_reasoning_budget_accept, + /* .apply = */ common_reasoning_budget_apply, + /* .reset = */ common_reasoning_budget_reset, + /* .clone = */ common_reasoning_budget_clone, + /* .free = */ common_reasoning_budget_free, + /* .backend_init = */ nullptr, + /* .backend_accept = */ nullptr, + /* .backend_apply = */ nullptr, + /* .backend_set_input = */ nullptr, +}; + +static struct llama_sampler * common_reasoning_budget_init_state( + const struct llama_vocab * vocab, + const std::vector & start_tokens, + const std::vector & end_tokens, + const std::vector & forced_tokens, + int32_t budget, + common_reasoning_budget_state initial_state) { + // promote COUNTING with budget <= 0 to FORCING + if (initial_state == REASONING_BUDGET_COUNTING && budget <= 0) { + initial_state = REASONING_BUDGET_FORCING; + } + + return llama_sampler_init( + /* .iface = */ &common_reasoning_budget_i, + /* .ctx = */ new common_reasoning_budget_ctx { + /* .vocab = */ vocab, + /* .start_matcher = */ { start_tokens, 0 }, + /* .end_matcher = */ { end_tokens, 0 }, + /* .forced_tokens = */ forced_tokens, + /* .budget = */ budget, + /* .remaining = */ budget, + /* .state = */ initial_state, + /* .force_pos = */ 0, + } + ); +} + +struct llama_sampler * common_reasoning_budget_init( + const struct llama_vocab * vocab, + const std::vector & start_tokens, + const std::vector & end_tokens, + const std::vector & forced_tokens, + int32_t budget, + const std::vector & prefill_tokens) { + // Determine initial state from prefill: COUNTING if the prefill begins with + // the start sequence but does not also contain the end sequence after it. + common_reasoning_budget_state initial_state = REASONING_BUDGET_IDLE; + if (!prefill_tokens.empty() && !start_tokens.empty() && + prefill_tokens.size() >= start_tokens.size() && + std::equal(start_tokens.begin(), start_tokens.end(), prefill_tokens.begin())) { + initial_state = REASONING_BUDGET_COUNTING; + // If the end sequence also follows the start in the prefill, reasoning + // was opened and immediately closed — stay IDLE. + if (!end_tokens.empty() && + prefill_tokens.size() >= start_tokens.size() + end_tokens.size()) { + auto end_start = prefill_tokens.end() - (ptrdiff_t) end_tokens.size(); + if (end_start >= prefill_tokens.begin() + (ptrdiff_t) start_tokens.size() && + std::equal(end_tokens.begin(), end_tokens.end(), end_start)) { + initial_state = REASONING_BUDGET_IDLE; + } + } + } + return common_reasoning_budget_init_state(vocab, start_tokens, end_tokens, forced_tokens, budget, initial_state); +} + +struct llama_sampler * common_reasoning_budget_init( + const struct llama_vocab * vocab, + const std::vector & start_tokens, + const std::vector & end_tokens, + const std::vector & forced_tokens, + int32_t budget, + common_reasoning_budget_state initial_state) { + return common_reasoning_budget_init_state(vocab, start_tokens, end_tokens, forced_tokens, budget, initial_state); +} diff --git a/common/reasoning-budget.h b/common/reasoning-budget.h new file mode 100644 index 0000000000..130afdea4a --- /dev/null +++ b/common/reasoning-budget.h @@ -0,0 +1,53 @@ +#pragma once + +#include "llama.h" + +#include +#include + +enum common_reasoning_budget_state { + REASONING_BUDGET_IDLE, // waiting for start sequence + REASONING_BUDGET_COUNTING, // counting down tokens + REASONING_BUDGET_FORCING, // forcing budget message + end sequence + REASONING_BUDGET_WAITING_UTF8, // budget exhausted, waiting for UTF-8 completion + REASONING_BUDGET_DONE, // passthrough forever +}; + +// Creates a reasoning budget sampler that limits token generation inside a +// reasoning block (e.g. between and ). +// +// State machine: IDLE -> COUNTING -> WAITING_UTF8 -> FORCING -> DONE +// IDLE: passthrough, watching for start_tokens sequence +// COUNTING: counting down remaining tokens, watching for natural end_tokens +// WAITING_UTF8: budget exhausted, allowing tokens to complete a UTF-8 sequence +// FORCING: forces forced_tokens token-by-token (all other logits -> -inf) +// DONE: passthrough forever +// +// Parameters: +// vocab - vocabulary (used for UTF-8 boundary detection; can be nullptr) +// start_tokens - token sequence that activates counting +// end_tokens - token sequence for natural deactivation +// forced_tokens - token sequence forced when budget expires +// budget - max tokens allowed in the reasoning block +// prefill_tokens - tokens already present in the prompt (generation prompt); +// used to determine the initial state: COUNTING if they begin +// with start_tokens (but don't also end with end_tokens), +// IDLE otherwise. COUNTING with budget <= 0 is promoted to FORCING. +// +struct llama_sampler * common_reasoning_budget_init( + const struct llama_vocab * vocab, + const std::vector & start_tokens, + const std::vector & end_tokens, + const std::vector & forced_tokens, + int32_t budget, + const std::vector & prefill_tokens = {}); + +// Variant that takes an explicit initial state (used by tests and clone). +// COUNTING with budget <= 0 is promoted to FORCING. +struct llama_sampler * common_reasoning_budget_init( + const struct llama_vocab * vocab, + const std::vector & start_tokens, + const std::vector & end_tokens, + const std::vector & forced_tokens, + int32_t budget, + common_reasoning_budget_state initial_state); diff --git a/common/regex-partial.cpp b/common/regex-partial.cpp index e667a209e9..bd9034e931 100644 --- a/common/regex-partial.cpp +++ b/common/regex-partial.cpp @@ -102,7 +102,7 @@ std::string regex_to_reversed_partial_regex(const std::string & pattern) { auto is_star = *it == '*'; ++it; if (is_star) { - if (*it == '?') { + if (it != end && *it == '?') { ++it; } } diff --git a/common/sampling.cpp b/common/sampling.cpp index 11a1d48398..012e212660 100644 --- a/common/sampling.cpp +++ b/common/sampling.cpp @@ -1,12 +1,16 @@ #include "sampling.h" #include "common.h" +#include "ggml.h" #include "log.h" +#include "reasoning-budget.h" #include +#include #include #include #include +#include // the ring buffer works similarly to std::deque, but with a fixed capacity // TODO: deduplicate with llama-impl.h @@ -188,9 +192,10 @@ struct common_sampler * common_sampler_init(const struct llama_model * model, st std::vector samplers; - if (params.grammar.compare(0, 11, "%llguidance") == 0) { + const std::string & grammar_str = common_grammar_value(params.grammar); + if (grammar_str.compare(0, 11, "%llguidance") == 0) { #ifdef LLAMA_USE_LLGUIDANCE - grmr = llama_sampler_init_llg(vocab, "lark", params.grammar.c_str()); + grmr = llama_sampler_init_llg(vocab, "lark", grammar_str.c_str()); #else GGML_ABORT("llguidance (cmake -DLLAMA_LLGUIDANCE=ON) is not enabled"); #endif // LLAMA_USE_LLGUIDANCE @@ -239,17 +244,57 @@ struct common_sampler * common_sampler_init(const struct llama_model * model, st trigger_patterns_c.push_back(regex.c_str()); } - if (!params.grammar.empty()) { + if (!grammar_str.empty()) { if (params.grammar_lazy) { - grmr = llama_sampler_init_grammar_lazy_patterns(vocab, params.grammar.c_str(), "root", + grmr = llama_sampler_init_grammar_lazy_patterns(vocab, grammar_str.c_str(), "root", trigger_patterns_c.data(), trigger_patterns_c.size(), trigger_tokens.data(), trigger_tokens.size()); } else { - grmr = llama_sampler_init_grammar(vocab, params.grammar.c_str(), "root"); + grmr = llama_sampler_init_grammar(vocab, grammar_str.c_str(), "root"); } } } + // Feed generation prompt tokens to the grammar sampler so it advances past + // tokens the template already placed in the prompt. + // Only applies to output-format and tool-call grammars; user-supplied grammars must not be prefilled. + std::vector prefill_tokens; + if (!params.generation_prompt.empty() && common_grammar_needs_prefill(params.grammar)) { + GGML_ASSERT(vocab != nullptr); + prefill_tokens = common_tokenize(vocab, params.generation_prompt, false, true); + if (!prefill_tokens.empty()) { + std::string first_token = common_token_to_piece(vocab, prefill_tokens[0], true); + if (std::isspace(first_token[0]) && !std::isspace(params.generation_prompt[0])) { + // Some tokenizers will add a space before the first special token, need to remove + prefill_tokens = std::vector(prefill_tokens.begin() + 1, prefill_tokens.end()); + } + } + + if (grmr) { + try { + for (const auto & token : prefill_tokens) { + llama_sampler_accept(grmr, token); + LOG_DBG("%s: accepted prefill token (%d)\n", __func__, token); + } + } catch (std::exception &e) { + LOG_ERR("%s: error initializing grammar sampler for grammar:\n%s\n\nGeneration prompt:\n'%s'\n", __func__, + common_grammar_value(params.grammar).c_str(), params.generation_prompt.c_str()); + throw e; + } + } + } + + // reasoning budget sampler — added first so it can force tokens before other samplers + if (params.reasoning_budget_tokens >= 0 && !params.reasoning_budget_forced.empty()) { + samplers.push_back(common_reasoning_budget_init( + vocab, + params.reasoning_budget_start, + params.reasoning_budget_end, + params.reasoning_budget_forced, + params.reasoning_budget_tokens, + prefill_tokens)); + } + if (params.has_logit_bias()) { samplers.push_back(llama_sampler_init_logit_bias(llama_vocab_n_tokens(vocab), params.logit_bias.size(), params.logit_bias.data())); } diff --git a/common/unicode.cpp b/common/unicode.cpp index c0ef6d0292..f71fe56783 100644 --- a/common/unicode.cpp +++ b/common/unicode.cpp @@ -1,8 +1,10 @@ #include "unicode.h" + +#include #include #include -#include #include +#include // implementation adopted from src/unicode.cpp @@ -67,6 +69,20 @@ utf8_parse_result common_parse_utf8_codepoint(std::string_view input, size_t off return utf8_parse_result(utf8_parse_result::INVALID); } +bool common_utf8_is_complete(const std::string & s) { + if (s.empty()) { + return true; + } + for (int i = 1; i <= std::min(4, (int)s.size()); i++) { + unsigned char c = s[s.size() - i]; + if ((c & 0xC0) != 0x80) { + int expected = (c >= 0xF0) ? 4 : (c >= 0xE0) ? 3 : (c >= 0xC0) ? 2 : 1; + return i >= expected; + } + } + return false; +} + std::string common_unicode_cpts_to_utf8(const std::vector & cps) { std::string result; for (size_t i = 0; i < cps.size(); ++i) { diff --git a/common/unicode.h b/common/unicode.h index 87bcc0ffca..9b32fa19d6 100644 --- a/common/unicode.h +++ b/common/unicode.h @@ -20,6 +20,9 @@ struct utf8_parse_result { // Returns 0 for invalid first bytes size_t common_utf8_sequence_length(unsigned char first_byte); +// Check if a string ends with a complete UTF-8 sequence. +bool common_utf8_is_complete(const std::string & s); + // Parse a single UTF-8 codepoint from input utf8_parse_result common_parse_utf8_codepoint(std::string_view input, size_t offset); diff --git a/convert_hf_to_gguf.py b/convert_hf_to_gguf.py index 083b5bca9e..dba190b480 100755 --- a/convert_hf_to_gguf.py +++ b/convert_hf_to_gguf.py @@ -31,10 +31,10 @@ import gguf from gguf.vocab import MistralTokenizerType, MistralVocab try: - from mistral_common.tokens.tokenizers.base import TokenizerVersion # pyright: ignore[reportMissingImports] - from mistral_common.tokens.tokenizers.multimodal import DATASET_MEAN as _MISTRAL_COMMON_DATASET_MEAN, DATASET_STD as _MISTRAL_COMMON_DATASET_STD # pyright: ignore[reportMissingImports] - from mistral_common.tokens.tokenizers.tekken import Tekkenizer # pyright: ignore[reportMissingImports] - from mistral_common.tokens.tokenizers.sentencepiece import ( # pyright: ignore[reportMissingImports] + from mistral_common.tokens.tokenizers.base import TokenizerVersion # type: ignore[import-not-found] + from mistral_common.tokens.tokenizers.multimodal import DATASET_MEAN as _MISTRAL_COMMON_DATASET_MEAN, DATASET_STD as _MISTRAL_COMMON_DATASET_STD # type: ignore[import-not-found] + from mistral_common.tokens.tokenizers.tekken import Tekkenizer # type: ignore[import-not-found] + from mistral_common.tokens.tokenizers.sentencepiece import ( # type: ignore[import-not-found] SentencePieceTokenizer, ) @@ -45,9 +45,9 @@ except ImportError: _MISTRAL_COMMON_DATASET_STD = (0.26862954, 0.26130258, 0.27577711) _mistral_common_installed = False - TokenizerVersion = None - Tekkenizer = None - SentencePieceTokenizer = None + TokenizerVersion: Any = None + Tekkenizer: Any = None + SentencePieceTokenizer: Any = None _mistral_import_error_msg = ( "Mistral format requires `mistral-common` to be installed. Please run " "`pip install mistral-common[image,audio]` to install it." @@ -144,6 +144,8 @@ class ModelBase: self.metadata_override = metadata_override self.model_name = model_name self.dir_model_card = dir_model # overridden in convert_lora_to_gguf.py + self._is_nvfp4 = False + self._is_mxfp4 = False # Apply heuristics to figure out typical tensor encoding based on first tensor's dtype # NOTE: can't use field "torch_dtype" in config.json, because some finetunes lie. @@ -219,7 +221,7 @@ class ModelBase: if weight_map is None or not isinstance(weight_map, dict): raise ValueError(f"Can't load 'weight_map' from {index_name!r}") tensor_names_from_index.update(weight_map.keys()) - part_dict: dict[str, None] = dict.fromkeys(weight_map.values(), None) + part_dict: dict[str, None] = dict.fromkeys(weight_map.values(), None) # ty: ignore[invalid-assignment] part_names = sorted(part_dict.keys()) else: weight_map = {} @@ -271,6 +273,10 @@ class ModelBase: return tensors def dequant_model(self): + # If all quantized tensors were already handled (e.g. pure NVFP4), skip + if self._is_nvfp4 and not any(k.endswith((".weight_scale", ".weight_scale_inv")) for k in self.model_tensors): + return + tensors_to_remove: list[str] = [] new_tensors: dict[str, Callable[[], Tensor]] = {} @@ -293,11 +299,16 @@ class ModelBase: scale = scale.float() if block_size is not None: + dim_offset = scale.ndim - len(block_size) for i, size in enumerate(block_size): - scale = scale.repeat_interleave(size, i) + scale = scale.repeat_interleave(size, dim_offset + i) # unpad the scale (e.g. when the tensor size isn't a multiple of the block size) scale = scale[tuple(slice(0, size) for size in weight.shape)] + # align scale dims to weight for correct broadcasting (e.g. [128] -> [128, 1, 1]) + while scale.ndim < weight.ndim: + scale = scale.unsqueeze(-1) + return weight.float() * scale # ref: https://github.com/ModelCloud/GPTQModel/blob/037c5c0f6c9e33c500d975b038d02e7ca437546d/gptqmodel/nn_modules/qlinear/__init__.py#L437-L476 @@ -388,7 +399,7 @@ class ModelBase: elif quant_method == "fp8": block_size = quant_config.get("weight_block_size") for name in self.model_tensors.keys(): - if name.endswith(".weight_scale_inv"): + if name.endswith("_scale_inv"): weight_name = name.removesuffix("_scale_inv") w = self.model_tensors[weight_name] s = self.model_tensors[name] @@ -396,6 +407,8 @@ class ModelBase: tensors_to_remove.append(name) if name.endswith(".activation_scale"): # unused tensors_to_remove.append(name) + if name.endswith("_activation_scale"): # Mistral-Small-4-119B-2602, unused + tensors_to_remove.append(name) # mistral format if name.endswith(".qscale_weight"): weight_name = name.removesuffix("qscale_weight") + "weight" @@ -470,7 +483,20 @@ class ModelBase: tensors_to_remove.append(base_name + "_zero_point") else: raise NotImplementedError(f"Quant format {quant_format!r} for method {quant_method!r} is not yet supported") - else: + elif quant_method == "modelopt": + # Mixed-precision ModelOpt models: NVFP4 tensors are handled by + # _generate_nvfp4_tensors; FP8 tensors have 1D weight_scale and + # are dequantized here. input_scale tensors are unused. + for name in self.model_tensors.keys(): + if name.endswith(".weight_scale"): + weight_name = name.removesuffix("_scale") + w = self.model_tensors[weight_name] + s = self.model_tensors[name] + self.model_tensors[weight_name] = lambda w=w, s=s: dequant_simple(w(), s(), None) + tensors_to_remove.append(name) + if name.endswith((".input_scale", ".k_scale", ".v_scale")): + tensors_to_remove.append(name) + elif quant_method is not None: raise NotImplementedError(f"Quant method is not yet supported: {quant_method!r}") for name in tensors_to_remove: @@ -516,6 +542,7 @@ class ModelBase: raise NotImplementedError("set_gguf_parameters() must be implemented in subclasses") def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + new_name = self.map_tensor_name(name) # Handle gate/up expert tensor fusion if enabled @@ -551,7 +578,166 @@ class ModelBase: def generate_extra_tensors(self) -> Iterable[tuple[str, Tensor]]: return () + @staticmethod + def _nvfp4_pack(weight: Tensor, scale: Tensor) -> tuple[np.ndarray, list[int]]: + """Repack NVFP4 ModelOpt tensors into ggml super-block layout. + Preserves original E4M3 scale bits as UE4M3 (strip sign bit). + The per-tensor scale2 factor is stored as a separate tensor and applied at inference time via ggml_mul(). + Returns (raw_data, logical_shape).""" + + out_features = weight.shape[0] + n_blocks = scale.shape[1] + + # Unpack ModelOpt nibble-packed weights + w = weight.reshape(out_features, n_blocks, 8) + vals = torch.stack([w & 0x0F, w >> 4], dim=-1).reshape(out_features, n_blocks, 16) + + # Preserve original E4M3 scale bits as UE4M3 (strip sign bit) + d_ue = scale.view(torch.uint8).numpy().reshape(out_features, n_blocks) & 0x7F + qs = (vals[:, :, :8] | (vals[:, :, 8:] << 4)).to(torch.uint8).numpy() + + # Pack into super-blocks: [4 UE4M3 scales, 32 qs bytes] = 36 bytes per 64 elements + n_super = n_blocks // 4 + d_grouped = d_ue.reshape(out_features, n_super, 4) + qs_grouped = qs.reshape(out_features, n_super, 4, 8).reshape(out_features, n_super, 32) + raw = np.concatenate([d_grouped, qs_grouped], axis=-1).reshape(out_features, n_super * 36) + return raw, [out_features, n_super * 64] + + @staticmethod + def _nvfp4_scale2_is_trivial(scale2: Tensor) -> bool: + return scale2.numel() <= 1 and abs(float(scale2.float().sum()) - 1.0) < 1e-6 + + def _repack_nvfp4(self, new_name: str, weight: Tensor, scale: Tensor, scale2: Tensor): + raw, shape = self._nvfp4_pack(weight, scale) + logger.info(f"Repacked {new_name} with shape {shape} and quantization NVFP4") + self.gguf_writer.add_tensor(new_name, raw, raw_dtype=gguf.GGMLQuantizationType.NVFP4) + + # Emit per-tensor scale2 as a separate F32 tensor when non-trivial + if not self._nvfp4_scale2_is_trivial(scale2): + scale2_f32 = scale2.float().numpy().flatten() + scale_name = new_name.replace(".weight", ".scale") + logger.info(f" + {scale_name} (per-tensor NVFP4 scale2, shape [{scale2_f32.size}])") + self.gguf_writer.add_tensor(scale_name, scale2_f32) + + def _generate_nvfp4_tensors(self): + # Per-layer expert merging to avoid holding all experts in memory + expert_blocks: dict[tuple[int, str], list[tuple[int, np.ndarray]]] = {} + expert_scales: dict[tuple[int, str], list[tuple[int, float]]] = {} + expert_shapes: dict[tuple[int, str], list[int]] = {} + n_experts = self.find_hparam(["num_local_experts", "num_experts"], optional=True) or 0 + consumed: list[str] = [] + + for name in list(self.model_tensors.keys()): + if not name.endswith(".weight"): + continue + scale_name = name.replace(".weight", ".weight_scale") + scale2_name = name.replace(".weight", ".weight_scale_2") + if scale_name not in self.model_tensors: + continue + # Force eager materialization of lazy tensors + weight = LazyTorchTensor.to_eager(self.model_tensors[name]()) + scale = LazyTorchTensor.to_eager(self.model_tensors[scale_name]()) + + # Skip non-NVFP4 tensors (e.g. FP8 with per-channel 1D scales) + if scale.ndim < 2: + continue + + scale2 = LazyTorchTensor.to_eager(self.model_tensors.get(scale2_name, lambda: torch.tensor(1.0))()) + + # Mark tensors for removal from model_tensors (already written to gguf) + consumed.extend([name, scale_name]) + if scale2_name in self.model_tensors: + consumed.append(scale2_name) + + # Check if this is a per-expert tensor + m = re.search(r'\.experts\.(\d+)\.(gate_proj|up_proj|down_proj)\.weight$', name) + if m: + expert_id = int(m.group(1)) + proj_type = m.group(2) + bid_m = re.search(r'\.layers\.(\d+)\.', name) + bid = int(bid_m.group(1)) if bid_m else 0 + key = (bid, proj_type) + + raw, shape = self._nvfp4_pack(weight, scale) + + if key not in expert_blocks: + expert_blocks[key] = [] + expert_scales[key] = [] + expert_shapes[key] = shape + expert_blocks[key].append((expert_id, raw.copy())) + # Collect per-expert scale2 (scalar per expert) + expert_scales[key].append((expert_id, float(scale2.float().sum()))) + + # Flush when all experts for this (layer, proj) are collected + if n_experts > 0 and len(expert_blocks[key]) >= n_experts: + self._flush_nvfp4_experts(key, expert_blocks, expert_scales, expert_shapes, bid, proj_type) + else: + new_name = self.map_tensor_name(name) + self._repack_nvfp4(new_name, weight, scale, scale2) + + # Flush any remaining experts (fallback if n_experts was unknown) + for (bid, proj_type) in list(expert_blocks.keys()): + self._flush_nvfp4_experts((bid, proj_type), expert_blocks, expert_scales, expert_shapes, bid, proj_type) + + # Remove consumed tensors so get_tensors/modify_tensors won't see them + for name in consumed: + self.model_tensors.pop(name, None) + + # Remove unused auxiliary tensors (input_scale, k_scale, v_scale) + for name in list(self.model_tensors.keys()): + if name.endswith((".input_scale", ".k_scale", ".v_scale")): + del self.model_tensors[name] + + def _flush_nvfp4_experts(self, key, expert_blocks, expert_scales, expert_shapes, bid, proj_type): + experts = expert_blocks.pop(key) + scales = expert_scales.pop(key) + shape = expert_shapes.pop(key) + + experts.sort(key=lambda x: x[0]) + merged = np.stack([e[1] for e in experts], axis=0) + merged_name = f"model.layers.{bid}.mlp.experts.{proj_type}.weight" + new_name = self.map_tensor_name(merged_name) + logger.info(f"Repacked {new_name} with shape [{len(experts)}, {shape[0]}, {shape[1]}] and quantization NVFP4") + self.gguf_writer.add_tensor(new_name, merged, raw_dtype=gguf.GGMLQuantizationType.NVFP4) + + # Emit per-expert scale2 tensor if any expert has non-trivial scale2 + scales.sort(key=lambda x: x[0]) + scale_vals = np.array([s[1] for s in scales], dtype=np.float32) + if not np.allclose(scale_vals, 1.0, atol=1e-6): + scale_name = new_name.replace(".weight", ".scale") + logger.info(f" + {scale_name} (per-expert NVFP4 scale2, shape [{len(scales)}])") + self.gguf_writer.add_tensor(scale_name, scale_vals) + + del experts, merged + def prepare_tensors(self): + # detect NVFP4 quantization (ModelOpt format) + quant_algo = (self.hparams.get("quantization_config") or {}).get("quant_algo") + quant_method = (self.hparams.get("quantization_config") or {}).get("quant_method") + quant_layers = (self.hparams.get("quantization_config") or {}).get("quantized_layers") or {} + quant_config_file = self.dir_model / "hf_quant_config.json" + + if (not quant_algo or not quant_layers) and quant_config_file.is_file(): + with open(quant_config_file, "r", encoding="utf-8") as f: + quant_config = json.load(f).get("quantization") or {} + quant_algo = quant_config.get("quant_algo", quant_algo) + quant_layers = quant_config.get("quantized_layers", quant_layers) or {} + + # Some models use per-tensor quant_algo (e.g. "MIXED_PRECISION" with + # per-layer NVFP4/FP8) instead of a single global "NVFP4" value. + if quant_algo != "NVFP4": + if any(v.get("quant_algo") == "NVFP4" for v in quant_layers.values() if isinstance(v, dict)): + quant_algo = "NVFP4" + + self._is_nvfp4 = quant_algo == "NVFP4" + self._is_mxfp4 = quant_method == "mxfp4" + + # NVFP4 weights are repacked and written directly to gguf_writer. + # This must run before dequant_model so NVFP4 tensors are removed + # from model_tensors, leaving only non-NVFP4 (e.g. FP8) for dequant. + if self._is_nvfp4: + self._generate_nvfp4_tensors() + self.dequant_model() # Handle empty tensor_map for models with block_count=0 (like MobileNetV5) @@ -693,6 +879,12 @@ class ModelBase: if self.metadata.name is None: self.metadata.name = self.dir_model.name + if self.ftype in (gguf.LlamaFileType.ALL_F32, gguf.LlamaFileType.MOSTLY_F16, gguf.LlamaFileType.MOSTLY_BF16): + if self._is_nvfp4: + self.ftype = gguf.LlamaFileType.MOSTLY_NVFP4 + elif self._is_mxfp4: + self.ftype = gguf.LlamaFileType.MOSTLY_MXFP4_MOE + # Generate parameter weight class (useful for leader boards) if not yet determined if self.metadata.size_label is None and total_params > 0: self.metadata.size_label = gguf.size_label(total_params, shared_params, expert_params, expert_count) @@ -879,6 +1071,10 @@ class TextModel(ModelBase): self.gguf_writer.add_head_count_kv(n_head_kv) logger.info(f"gguf: key-value head count = {n_head_kv}") + if self.hparams.get("is_causal") is False: + self.gguf_writer.add_causal_attention(False) + logger.info("gguf: causal attention = False") + # TODO: Handle "sliding_attention" similarly when models start implementing it rope_params = self.rope_parameters.get("full_attention", self.rope_parameters) if (rope_type := rope_params.get("rope_type")) is not None: @@ -2057,6 +2253,8 @@ class GPTNeoXModel(TextModel): def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: n_head = self.hparams.get("n_head", self.hparams.get("num_attention_heads")) n_embed = self.hparams.get("hidden_size", self.hparams.get("n_embed")) + assert n_head is not None + assert n_embed is not None if re.match(r"gpt_neox\.layers\.\d+\.attention\.query_key_value\.weight", name): # Map bloom-style qkv_linear to gpt-style qkv_linear @@ -2094,6 +2292,8 @@ class BloomModel(TextModel): def set_gguf_parameters(self): n_embed = self.hparams.get("hidden_size", self.hparams.get("n_embed")) n_head = self.hparams.get("n_head", self.hparams.get("num_attention_heads")) + assert n_head is not None + assert n_embed is not None self.gguf_writer.add_context_length(self.hparams.get("seq_length", n_embed)) self.gguf_writer.add_embedding_length(n_embed) self.gguf_writer.add_feed_forward_length(4 * n_embed) @@ -2106,6 +2306,8 @@ class BloomModel(TextModel): def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: n_head = self.hparams.get("n_head", self.hparams.get("num_attention_heads")) n_embed = self.hparams.get("hidden_size", self.hparams.get("n_embed")) + assert n_head is not None + assert n_embed is not None name = re.sub(r'transformer\.', '', name) @@ -2849,10 +3051,16 @@ class LlavaVisionModel(MmprojModel): def get_token_id(self, token: str) -> int: tokenizer_config_file = self.dir_model / 'tokenizer_config.json' with open(tokenizer_config_file, "r", encoding="utf-8") as f: - added_tokens_decoder = json.load(f)['added_tokens_decoder'] + added_tokens_decoder = json.load(f).get('added_tokens_decoder') or {} for id_, token_data in added_tokens_decoder.items(): - if token_data["content"] == token: + if token_data.get("content") == token: return int(id_) + # fallthrough to tokenizer.json + with open(self.dir_model / "tokenizer.json", "r", encoding="utf-8") as f: + tokenizer_json = json.load(f) + for token_data in tokenizer_json["added_tokens"]: + if token_data["content"] == token: + return int(token_data["id"]) raise ValueError(f"Token '{token}' not found in tokenizer config.") def set_gguf_parameters(self): @@ -3016,40 +3224,6 @@ class Llama4VisionModel(MmprojModel): yield from super().modify_tensors(data_torch, name, bid) -@ModelBase.register( - "Mistral3ForConditionalGeneration", - "Ministral3ForCausalLM", -) -class Mistral3Model(LlamaModel): - model_arch = gguf.MODEL_ARCH.MISTRAL3 - - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) - # for compatibility, we use LLAMA arch for older models - # TODO: remove this once everyone has migrated to newer version of llama.cpp - if self.hparams.get("model_type") != "ministral3": - self.model_arch = gguf.MODEL_ARCH.LLAMA - self.gguf_writer.arch = gguf.MODEL_ARCH_NAMES[self.model_arch] - self.gguf_writer.add_architecture() - self.tensor_map = gguf.get_tensor_name_map(self.model_arch, self.block_count) - - def set_gguf_parameters(self): - super().set_gguf_parameters() - rope_params = self.rope_parameters - if self.hparams.get("model_type") == "ministral3": - assert rope_params, "ministral3 must have 'rope_parameters' config" - assert rope_params["rope_type"] == "yarn", "ministral3 rope_type must be 'yarn'" - self.gguf_writer.add_rope_scaling_yarn_log_mul(rope_params["mscale_all_dim"]) - self.gguf_writer.add_attn_temperature_scale(rope_params["llama_4_scaling_beta"]) - - def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None): - name = name.replace("language_model.", "") - if "multi_modal_projector" in name or "vision_tower" in name: - return - - yield from super().modify_tensors(data_torch, name, bid) - - @ModelBase.register("DeciLMForCausalLM") class DeciModel(TextModel): model_arch = gguf.MODEL_ARCH.DECI @@ -3716,6 +3890,7 @@ class LLaDAModel(TextModel): if (rope_dim := hparams.get("head_dim")) is None: n_heads = hparams.get("num_attention_heads", hparams.get("n_heads")) + assert n_heads is not None rope_dim = hparams.get("hidden_size", hparams.get("d_model")) // n_heads self.gguf_writer.add_rope_dimension_count(rope_dim) @@ -3747,6 +3922,7 @@ class LLaDAModel(TextModel): def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: n_head = self.hparams.get("num_attention_heads", self.hparams.get("n_heads")) + assert n_head is not None n_kv_head = self.hparams.get("num_key_value_heads", self.hparams.get("n_kv_heads")) if self.undo_permute: @@ -4303,6 +4479,14 @@ class Qwen2MoeModel(TextModel): # process the experts separately name = name.replace("language_model.", "") # InternVL + # NVFP4 expert weights are handled in _generate_nvfp4_tensors + if self._is_nvfp4 and "experts" in name: + if name.endswith((".weight", ".weight_scale", ".weight_scale_2", ".input_scale")): + if name.endswith(".weight") and name.replace(".weight", ".weight_scale") in self.model_tensors: + return + if not name.endswith(".weight"): + return + # handle aggregated expert tensors # GGUF stores dimensions reversed from PyTorch, so: # PyTorch (A,B,C) -> GGUF writes [C,B,A] -> GGML reads ne={C,B,A} @@ -4390,15 +4574,31 @@ class Qwen3Model(Qwen2Model): hparams = ModelBase.load_hparams(self.dir_model, is_mistral_format=False) self.origin_hf_arch = hparams.get('architectures', [None])[0] - # a bit hacky, but currently the only way to detect if this is a rerank model - # ref: https://huggingface.co/Qwen/Qwen3-Reranker-0.6B + if self._is_qwen3_reranker(): + self._find_rerank_config() + + def _is_qwen3_reranker(self) -> bool: readme_path = self.dir_model / "README.md" readme_text = "" if readme_path.exists(): with readme_path.open("r", encoding="utf-8") as f: readme_text = f.read() - if "# Qwen3-Reranker" in readme_text: - self._find_rerank_config() + + name_hints = [ + str(self.dir_model.name), + str(self.hparams.get("_name_or_path", "")), + str(self.hparams.get("model_type", "")), + str(self.origin_hf_arch or ""), + ] + name_hints = [hint.lower() for hint in name_hints if hint] + + if "# qwen3-reranker" in readme_text.lower() or "# qwen3-vl-reranker" in readme_text.lower(): + return True + + if any("qwen3-reranker" in hint or "qwen3-vl-reranker" in hint for hint in name_hints): + return True + + return "sequenceclassification" in (self.origin_hf_arch or "").lower() def set_vocab(self): # deal with intern-s1-mini @@ -4901,7 +5101,7 @@ class Phi2Model(TextModel): self.gguf_writer.add_add_bos_token(False) -@ModelBase.register("Phi3ForCausalLM") +@ModelBase.register("Phi3ForCausalLM", "Phi4ForCausalLMV") class Phi3MiniModel(TextModel): model_arch = gguf.MODEL_ARCH.PHI3 @@ -5076,6 +5276,129 @@ class Phi3MiniModel(TextModel): yield (self.format_tensor_name(gguf.MODEL_TENSOR.ROPE_FACTORS_LONG), torch.tensor(long_factors, dtype=torch.float32)) yield (self.format_tensor_name(gguf.MODEL_TENSOR.ROPE_FACTORS_SHORT), torch.tensor(short_factors, dtype=torch.float32)) + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + if name.startswith(("model.vision_tower.", "vision_tower.", "model.mm_projector.", "mm_projector.")): + return + + yield from super().modify_tensors(data_torch, name, bid) + + +@ModelBase.register("Phi4ForCausalLMV") +class Phi4VisionMmprojModel(MmprojModel): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + assert self.hparams_vision is not None + + self.vision_total_layers = int(self.find_vparam(self.n_block_keys)) + if self.vision_total_layers < 2: + raise ValueError( + f"Phi-4 vision mmproj conversion requires at least 2 vision layers, got {self.vision_total_layers}" + ) + + # Phi-4 uses SigLIP2 hidden_states[-2], so export one fewer encoder block and + # drop post-layernorm/head weights. This makes the GGUF runtime output match + # the feature map consumed by the patched siglip.cpp Phi-4 projector path. + self.vision_export_layers = self.vision_total_layers - 1 + self.vision_last_layer_idx = self.vision_total_layers - 1 + + for key in self.n_block_keys: + if key in self.hparams_vision: + self.hparams_vision[key] = self.vision_export_layers + break + + self.block_count = self.vision_export_layers + self.tensor_map = gguf.get_tensor_name_map(gguf.MODEL_ARCH.MMPROJ, self.block_count) + + patch_size = self.preprocessor_config.get("patch_size") + if patch_size is None: + raise KeyError("Phi-4 vision mmproj conversion requires patch_size in preprocessor_config.json") + + self.hparams_vision["patch_size"] = patch_size + + pos_emb_name = next( + ( + name for name in self.model_tensors + if name.endswith("vision_model.embeddings.position_embedding.weight") + ), + None, + ) + if pos_emb_name is None: + raise KeyError("Phi-4 vision mmproj conversion could not find position_embedding.weight") + + pos_emb_shape = self.model_tensors[pos_emb_name]().shape + base_grid_tokens = int(pos_emb_shape[0]) + grid_side = math.isqrt(base_grid_tokens) + if grid_side * grid_side != base_grid_tokens: + raise ValueError(f"Unexpected Phi-4 position embedding shape: {tuple(pos_emb_shape)}") + + self.hparams_vision["image_size"] = grid_side * patch_size + + min_num_patches = self.preprocessor_config.get("min_num_patches", self.global_config.get("min_num_patches")) + max_num_patches = self.preprocessor_config.get("max_num_patches", self.global_config.get("max_num_patches")) + if min_num_patches is None or max_num_patches is None: + raise KeyError("Phi-4 vision mmproj conversion requires min_num_patches and max_num_patches") + + self.min_pixels = int(min_num_patches) * patch_size * patch_size + self.max_pixels = int(max_num_patches) * patch_size * patch_size + + def set_gguf_parameters(self): + super().set_gguf_parameters() + assert self.hparams_vision is not None + + self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.PHI4) + self.gguf_writer.add_vision_min_pixels(self.min_pixels) + self.gguf_writer.add_vision_max_pixels(self.max_pixels) + self.gguf_writer.add_vision_use_gelu(True) + self.gguf_writer.add_vision_attention_layernorm_eps(self.hparams_vision.get("layer_norm_eps", 1e-6)) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]: + if name.startswith(("model.vision_tower.vision_tower.", "vision_tower.")): + if ".vision_model.head." in name: + return + + new_name = name.replace("model.vision_tower.vision_tower.", "vision_tower.") + + if ".vision_model.post_layernorm." in new_name: + return + + if bid is not None and bid == self.vision_last_layer_idx: + return + + if new_name.endswith("vision_model.embeddings.patch_embedding.weight"): + assert self.hparams_vision is not None + if data_torch.ndim != 2: + raise ValueError(f"Unexpected Phi-4 patch embedding shape: {tuple(data_torch.shape)}") + + patch_area = self.hparams_vision["patch_size"] ** 2 + in_features = data_torch.shape[1] + if in_features % patch_area != 0: + raise ValueError( + f"Phi-4 patch embedding input dim {in_features} is not divisible by patch area {patch_area}" + ) + + num_channels = in_features // patch_area + patch_size = self.hparams_vision["patch_size"] + data_torch = data_torch.view(data_torch.shape[0], patch_size, patch_size, num_channels) + data_torch = data_torch.permute(0, 3, 1, 2) + + yield from super().modify_tensors(data_torch, new_name, bid) + return + + if name.startswith(("model.mm_projector.", "mm_projector.")): + local_name = name + local_name = local_name.replace("model.mm_projector.", "") + local_name = local_name.replace("mm_projector.", "") + + if not (local_name.startswith("0.") or local_name.startswith("2.")): + return + + suffix = ".bias" if local_name.endswith(".bias") else ".weight" + mm_idx = int(local_name.split(".", maxsplit=1)[0]) + yield (self.format_tensor_name(gguf.MODEL_TENSOR.V_MMPROJ, mm_idx, suffix=suffix), data_torch) + return + + return + @ModelBase.register("PhiMoEForCausalLM") class PhiMoeModel(Phi3MiniModel): @@ -5568,7 +5891,7 @@ class InternLM2Model(TextModel): logger.error(f'Error: Missing {tokenizer_path}') sys.exit(1) - sentencepiece_model = model.ModelProto() # pyright: ignore[reportAttributeAccessIssue] + sentencepiece_model = model.ModelProto() # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute] sentencepiece_model.ParseFromString(open(tokenizer_path, "rb").read()) add_prefix = sentencepiece_model.normalizer_spec.add_dummy_prefix @@ -5889,7 +6212,7 @@ class BertModel(TextModel): vocab_size = max(self.hparams.get("vocab_size", 0), tokenizer.vocab_size) else: - sentencepiece_model = model.ModelProto() # pyright: ignore[reportAttributeAccessIssue] + sentencepiece_model = model.ModelProto() # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute] sentencepiece_model.ParseFromString(open(tokenizer_path, "rb").read()) assert sentencepiece_model.trainer_spec.model_type == 1 # UNIGRAM @@ -7940,6 +8263,8 @@ class DeepseekV2Model(TextModel): # TODO @ngxson : remove this when we support MTP for deepseek models skip_mtp = True + merge_expert = True + def set_vocab(self): try: self._set_vocab_gpt2() @@ -8078,7 +8403,7 @@ class DeepseekV2Model(TextModel): return # process the experts separately - if name.find("mlp.experts") != -1: + if self.merge_expert and name.find("mlp.experts") != -1: n_experts = self.hparams["n_routed_experts"] assert bid is not None @@ -8137,6 +8462,69 @@ class DeepseekV2Model(TextModel): raise ValueError(f"Unprocessed experts: {experts}") +@ModelBase.register( + "Mistral3ForConditionalGeneration", + "Ministral3ForCausalLM", +) +class Mistral3Model(TextModel): + class Ministral3Model(LlamaModel): + model_arch = gguf.MODEL_ARCH.MISTRAL3 + + def set_gguf_parameters(self): + super().set_gguf_parameters() + rope_params = self.rope_parameters + if self.hparams.get("model_type") == "ministral3": + assert rope_params, "ministral3 must have 'rope_parameters' config" + assert rope_params["rope_type"] == "yarn", "ministral3 rope_type must be 'yarn'" + self.gguf_writer.add_rope_scaling_yarn_log_mul(rope_params["mscale_all_dim"]) + self.gguf_writer.add_attn_temperature_scale(rope_params["llama_4_scaling_beta"]) + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None): + name = name.replace("language_model.", "") + if "multi_modal_projector" in name or "vision_tower" in name: + return + + yield from super().modify_tensors(data_torch, name, bid) + + class Mistral4Model(DeepseekV2Model): + model_arch = gguf.MODEL_ARCH.MISTRAL4 + skip_mtp = False # model contains no MTP layers, so no need to skip + merge_expert = False # experts are already stacked as 3D + + def modify_tensors(self, data_torch, name, bid): + if name.endswith(".down_proj") or name.endswith(".gate_up_proj"): + name = name + ".weight" + yield from super().modify_tensors(data_torch, name, bid) + + model_arch = gguf.MODEL_ARCH.MISTRAL3 # unused + impl: TextModel + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + if self.hparams.get("model_type") == "mistral4": + self.impl = Mistral3Model.Mistral4Model(*args, **kwargs) + else: + self.impl = Mistral3Model.Ministral3Model(*args, **kwargs) + + def set_vocab(self): + self.impl.set_vocab() + + def set_gguf_parameters(self): + self.impl.set_gguf_parameters() + + def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None): + yield from self.impl.modify_tensors(data_torch, name, bid) + + def prepare_tensors(self): + self.impl.prepare_tensors() + + def write_vocab(self): + self.impl.write_vocab() + + def write(self): + self.impl.write() + + @ModelBase.register("MiniMaxM2ForCausalLM") class MiniMaxM2Model(TextModel): model_arch = gguf.MODEL_ARCH.MINIMAXM2 @@ -8501,7 +8889,7 @@ class T5Model(TextModel): if not tokenizer_path.is_file(): raise FileNotFoundError(f"File not found: {tokenizer_path}") - sentencepiece_model = model.ModelProto() # pyright: ignore[reportAttributeAccessIssue] + sentencepiece_model = model.ModelProto() # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute] sentencepiece_model.ParseFromString(open(tokenizer_path, "rb").read()) # some models like Pile-T5 family use BPE tokenizer instead of Unigram @@ -8638,7 +9026,7 @@ class T5EncoderModel(TextModel): if not tokenizer_path.is_file(): raise FileNotFoundError(f"File not found: {tokenizer_path}") - sentencepiece_model = model.ModelProto() # pyright: ignore[reportAttributeAccessIssue] + sentencepiece_model = model.ModelProto() # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute] sentencepiece_model.ParseFromString(open(tokenizer_path, "rb").read()) # some models like Pile-T5 family use BPE tokenizer instead of Unigram @@ -9201,7 +9589,9 @@ class ChatGLMModel(TextModel): def set_gguf_parameters(self): n_embed = self.hparams.get("hidden_size", self.hparams.get("n_embed")) + assert n_embed is not None n_head = self.hparams.get("n_head", self.hparams.get("num_attention_heads")) + assert n_head is not None n_head_kv = self.hparams.get("multi_query_group_num", self.hparams.get("num_key_value_heads", n_head)) self.gguf_writer.add_context_length(self.hparams.get("seq_length", n_embed)) self.gguf_writer.add_embedding_length(n_embed) @@ -9727,20 +10117,35 @@ class NemotronHModel(GraniteHybridModel): # M: Mamba2, *: Attention, -: MLP # MoE: # M: Mamba2, *: Attention, E: Expert - hybrid_override_pattern = self.hparams["hybrid_override_pattern"] - self._ssm_layers = [i for i, val in enumerate(hybrid_override_pattern) if val == "M"] - self._mlp_layers = [i for i, val in enumerate(hybrid_override_pattern) if val == ("E" if self.is_moe else "-")] + pattern = self.hparams.get("hybrid_override_pattern") or self.hparams.get("layers_block_type") + if pattern is None: + self._ssm_layers = [] + self._mlp_layers = [] + elif isinstance(pattern, str): + self._ssm_layers = [i for i, val in enumerate(pattern) if val == "M"] + self._mlp_layers = [i for i, val in enumerate(pattern) if val == ("E" if self.is_moe else "-")] + else: + self._ssm_layers = [i for i, val in enumerate(pattern) if val == "mamba"] + self._mlp_layers = [i for i, val in enumerate(pattern) if val == "moe"] def get_attn_layers(self): - hybrid_override_pattern = self.hparams["hybrid_override_pattern"] - assert len(hybrid_override_pattern) == self.block_count, "Mismatch between hybrid override and num_hidden_layers!" - return [i for i, val in enumerate(hybrid_override_pattern) if val == "*"] + pattern = self.hparams.get("hybrid_override_pattern") or self.hparams.get("layers_block_type") + if pattern is None: + return [] + assert len(pattern) == self.block_count, f"Mismatch between pattern ({len(pattern)}) and block_count ({self.block_count})!" + if isinstance(pattern, str): + return [i for i, val in enumerate(pattern) if val == "*"] + + return [i for i, val in enumerate(pattern) if val == "attention"] def set_gguf_parameters(self): super().set_gguf_parameters() - self.gguf_writer.add_key_length(self.head_dim) - self.gguf_writer.add_value_length(self.head_dim) + head_dim = self.head_dim + if head_dim is None: + raise ValueError("Could not find the attention head dim in config") + self.gguf_writer.add_key_length(head_dim) + self.gguf_writer.add_value_length(head_dim) # Set feed_forward_length # NOTE: This will trigger an override warning. This is preferable to @@ -9768,6 +10173,9 @@ class NemotronHModel(GraniteHybridModel): if (n_experts_used := self.hparams.get("num_experts_per_tok")) is not None: self.gguf_writer.add_expert_used_count(n_experts_used) + if (latent_size := self.hparams.get("moe_latent_size")) is not None: + self.gguf_writer.add_moe_latent_size(latent_size) + def set_vocab(self): super().set_vocab() @@ -9787,6 +10195,13 @@ class NemotronHModel(GraniteHybridModel): name = name[len("language_model."):] if self.is_moe and bid is not None: + # Skip Multi-Token Prediction (MTP) tensors. These are used for + # for speculative decoding but we don't include them in this model + # conversion. See https://github.com/ggml-org/llama.cpp/pull/18886 + if name.startswith("mtp."): + logger.info(f"gguf: Skipping MTP (Speculative) layer: {name}") + return + if name.endswith("mixer.gate.e_score_correction_bias"): new_name = name.replace("e_score_correction_bias", "e_score_correction.bias") yield from ModelBase.modify_tensors(self, data_torch, new_name, bid) @@ -10719,8 +11134,7 @@ class GptOssModel(TextModel): # TODO: remove once MXFP4 is supported more generally def dequant_model(self): - quant_config = self.hparams.get("quantization_config") - if quant_config is not None and quant_config.get("quant_method") == "mxfp4": + if self._is_mxfp4: return return super().dequant_model() @@ -11873,6 +12287,7 @@ class LazyTorchTensor(gguf.LazyBase): kwargs = {} if func is torch.Tensor.numpy: + assert len(args) return args[0].numpy() return cls._wrap_fn(func)(*args, **kwargs) diff --git a/convert_llama_ggml_to_gguf.py b/convert_llama_ggml_to_gguf.py index 29b14e98dd..52827e6690 100755 --- a/convert_llama_ggml_to_gguf.py +++ b/convert_llama_ggml_to_gguf.py @@ -112,11 +112,11 @@ class Tensor: (n_dims, name_len, dtype) = struct.unpack('<3I', data[offset:offset + 12]) assert n_dims >= 0 and n_dims <= 4, f'Invalid tensor dimensions {n_dims}' assert name_len < 4096, 'Absurd tensor name length' - quant = gguf.GGML_QUANT_SIZES.get(dtype) + self.dtype = gguf.GGMLQuantizationType(dtype) + quant = gguf.GGML_QUANT_SIZES.get(self.dtype) assert quant is not None, 'Unknown tensor type' (blksize, tysize) = quant offset += 12 - self.dtype= gguf.GGMLQuantizationType(dtype) self.dims = struct.unpack(f'<{n_dims}I', data[offset:offset + (4 * n_dims)]) offset += 4 * n_dims self.name = bytes(data[offset:offset + name_len]) diff --git a/convert_lora_to_gguf.py b/convert_lora_to_gguf.py index b0adde8a8b..ee98d0cf97 100755 --- a/convert_lora_to_gguf.py +++ b/convert_lora_to_gguf.py @@ -128,6 +128,12 @@ class LoraTorchTensor: assert dim is None return self.shape + def contiguous(self) -> LoraTorchTensor: + return LoraTorchTensor( + self._lora_A.contiguous(), + self._lora_B.contiguous(), + ) + def reshape(self, *shape: int | tuple[int, ...]) -> LoraTorchTensor: if isinstance(shape[0], tuple): new_shape: tuple[int, ...] = shape[0] @@ -193,10 +199,13 @@ class LoraTorchTensor: kwargs = {} if func is torch.permute: + assert len(args) return type(args[0]).permute(*args, **kwargs) elif func is torch.reshape: + assert len(args) return type(args[0]).reshape(*args, **kwargs) elif func is torch.stack: + assert len(args) assert isinstance(args[0], Sequence) dim = kwargs.get("dim", 0) assert dim == 0 @@ -205,6 +214,7 @@ class LoraTorchTensor: torch.stack([b._lora_B for b in args[0]], dim), ) elif func is torch.cat: + assert len(args) assert isinstance(args[0], Sequence) dim = kwargs.get("dim", 0) assert dim == 0 @@ -356,7 +366,7 @@ if __name__ == '__main__': logger.error(f"Model {hparams['architectures'][0]} is not supported") sys.exit(1) - class LoraModel(model_class): + class LoraModel(model_class): # ty: ignore[unsupported-base] model_arch = model_class.model_arch lora_alpha: float diff --git a/docs/autoparser.md b/docs/autoparser.md index 686b2c249b..adc4d43ed6 100644 --- a/docs/autoparser.md +++ b/docs/autoparser.md @@ -14,7 +14,7 @@ The unified auto-parser uses a pure differential, compositional approach (inspir **Analysis + Parser Building in Two Steps**: 1. `autoparser::autoparser tmpl_analysis(tmpl)` — runs all differential comparisons and populates the analysis structs -2. `autoparser::peg_generator::generate_parser(tmpl, params, tmpl_analysis)` — uses the analysis to build a PEG parser and optional GBNF grammar +2. `autoparser::peg_generator::generate_parser(tmpl, generation_params, tmpl_analysis)` — uses the analysis to build a PEG parser and optional GBNF grammar ## Data Structures @@ -34,7 +34,7 @@ All structs are defined in [common/chat-auto-parser.h](common/chat-auto-parser.h ### `analyze_tools` and its sub-structs -- [common/chat-auto-parser.h:176-194](common/chat-auto-parser.h#L176-L194) — `tool_format_analysis`: `mode` enum, `section_start/end`, `per_call_start/end`, JSON field names (`function_field`, `name_field`, `args_field`, `id_field`, `gen_id_field`), and format flags (`fun_name_is_key`, `tools_array_wrapped`, `uses_python_dicts`) +- [common/chat-auto-parser.h:176-194](common/chat-auto-parser.h#L176-L194) — `tool_format_analysis`: `mode` enum, `section_start/end`, `per_call_start/end`, JSON field names (`function_field`, `name_field`, `args_field`, `id_field`, `gen_id_field`), and format flags (`fun_name_is_key`, `tools_array_wrapped`) - [common/chat-auto-parser.h:196-200](common/chat-auto-parser.h#L196-L200) — `tool_function_analysis`: `name_prefix`, `name_suffix`, `close` markers around function names - [common/chat-auto-parser.h:202-210](common/chat-auto-parser.h#L202-L210) — `tool_arguments_analysis`: `start/end` container markers, `name_prefix/suffix`, `value_prefix/suffix`, `separator` - [common/chat-auto-parser.h:212-217](common/chat-auto-parser.h#L212-L217) — `tool_id_analysis`: `pos` enum, `prefix`/`suffix` markers around call ID values @@ -47,12 +47,21 @@ All structs are defined in [common/chat-auto-parser.h](common/chat-auto-parser.h | Value | Description | |-----------------|-----------------------------------------------------------------------------------| | `NONE` | No reasoning markers detected | -| `TAG_BASED` | Standard tag-based: `...` | -| `DELIMITER` | Delimiter-based: reasoning ends at a delimiter (e.g., `[BEGIN FINAL RESPONSE]`) | -| `FORCED_OPEN` | Template ends with open reasoning tag when `enable_thinking=true` | -| `FORCED_CLOSED` | `enable_thinking=false` emits both tags; `enable_thinking=true` emits only start | +| `TAG_BASED` | Tag-based: `...` (start can be empty for delimiter-style formats) | | `TOOLS_ONLY` | Reasoning only appears in tool call responses, not plain content | +**Generation Prompt & Reasoning Prefill**: Computed in `common_chat_templates_apply_jinja` before invoking either the specialized handlers or the auto-parser, by rendering the template twice — once with `add_generation_prompt=false` and once with `add_generation_prompt=true` — and storing the diff suffix as `generation_params::generation_prompt`. This string is propagated into `common_chat_params::generation_prompt` and `common_chat_parser_params::generation_prompt`. + +The generation prompt is prepended to model output before PEG parsing via `wrap_for_generation_prompt()`. The portion *before* the reasoning start marker (if any) is prepended as a literal to ensure any boilerplate added by the template is consumed. The full string is also fed to the grammar sampler via `llama_sampler_accept` (stored in `common_params_sampling::grammar_prefill`), advancing the grammar past tokens already in the prompt. It is used to determine the reasoning budget sampler's initial state — COUNTING if the prefill tokens begin with the reasoning start sequence (but don't also contain the end sequence), IDLE otherwise. + +**`grammar_prefill`** (`common_params_sampling`): The generation prompt string tokenized and accepted by the grammar sampler at init time. Only applied when `grammar_external` is false (i.e., the grammar was not set explicitly by the user). + +Three outcomes for reasoning-prefill handling (in `generate_parser()`): + +1. **Start+end in generation prompt** (e.g. `\n`): the parser sees reasoning as opened and immediately closed; whitespace-only reasoning content is discarded. +2. **Only start in generation prompt** (e.g. `\n`): the parser sees reasoning as already open. +3. **Start marker present but not at the end** (e.g. Apriel's `<|begin_assistant|>` followed by boilerplate): the marker is a template artifact; the start literal is cleared so reasoning uses delimiter-style (end-only). For templates that ignore `add_generation_prompt` (empty diff), the rendered `data.prompt` is used as fallback — but only for non-TOOLS_ONLY modes, since in TOOLS_ONLY the start tag is model-generated and may appear in prior conversation turns. + **`content_mode`**: How the template wraps assistant content. | Value | Description | @@ -261,16 +270,16 @@ Text is segmentized into markers and non-marker fragments using `segmentize_mark - Searches `diff.right` (output with reasoning) for the reasoning content needle - Uses PEG parsers to find surrounding markers: - - If both pre/post markers found in `diff.right` → `TAG_BASED` (both tags visible in diff = no forced close) - - If both found but post marker only in the full output B → `FORCED_CLOSED` - - If only post marker found → `DELIMITER` + - If both pre/post markers found in `diff.right` → `TAG_BASED` + - If both found but post marker only in the full output B → `TAG_BASED` (template forces markers; handled via prefill) + - If only post marker found → `TAG_BASED` (delimiter-style, empty start) - Sets `reasoning.start` and `reasoning.end` **R2 — `compare_thinking_enabled()`**: Compares `enable_thinking=false` vs `true` with a generation prompt. -- Detects `FORCED_OPEN`: `enable_thinking=true` adds a non-empty marker at the end of the prompt (where model will start generating) — sets `reasoning.start`, mode = `FORCED_OPEN` -- Detects `FORCED_CLOSED`: `enable_thinking=false` produces both start+end markers; `enable_thinking=true` produces only start marker -- Handles the reverse case: if both start and end are still empty, looks for a single-segment diff on each side to extract both markers +- Detects template-added reasoning markers: `enable_thinking=true` appends a non-empty marker → sets `reasoning.start`, mode = `TAG_BASED` +- Handles the reverse case (`enable_thinking=false` appends the marker instead): extracts both start (from the preceding segment) and end markers; mode = `TAG_BASED` +- The reasoning prefill (markers added by the template) is later extracted in `common_chat_templates_apply_jinja` and prepended to model output before parsing **R3 — `compare_reasoning_scope()`**: Compares assistant message with reasoning+text-content vs reasoning+tool-calls. @@ -343,7 +352,7 @@ Classification logic: A workaround array in `common/chat-diff-analyzer.cpp` applies post-hoc patches after analysis. Each workaround is a lambda that inspects the template source and overrides analysis results. Current workarounds: -1. **Old Qwen/DeepSeek thinking templates** — source contains `content.split('')`: sets `reasoning.mode = FORCED_OPEN` with ``/`` markers if no reasoning was detected +1. **Old Qwen/DeepSeek thinking templates** — source contains `content.split('')` but not ``: sets `reasoning.mode = TAG_BASED` with ``/`` markers if no reasoning was detected 2. **Granite 3.3** — source contains specific "Write your thoughts" text: forces `TAG_BASED` reasoning with ``/`` and `WRAPPED_WITH_REASONING` content with ``/`` 3. **Cohere Command R+** — source contains `<|CHATBOT_TOKEN|>`: sets `ALWAYS_WRAPPED` content mode if no content start is already set 4. **Functionary 3.1** — source contains `set has_code_interpreter`: forces `PLAIN` content, specific `per_call_start/end`, clears preserved tokens to only keep Functionary-specific markers @@ -355,12 +364,13 @@ Each analyzer struct (`analyze_reasoning`, `analyze_content`, `analyze_tools`) i #### Reasoning Parser (`analyze_reasoning::build_parser`) -| Mode | Parser | -|-----------------------------------|---------------------------------------------------------------------| -| Not extracting reasoning | `eps()` | -| `FORCED_OPEN` or `FORCED_CLOSED` | `reasoning(until(end)) + end` — opening tag was in the prompt | -| `TAG_BASED` or `TOOLS_ONLY` | `optional(start + reasoning(until(end)) + end)` | -| `DELIMITER` | `optional(reasoning(until(end)) + end)` — no start marker | +| Mode | Parser | +|-----------------------------------------------|---------------------------------------------------------------------------| +| Not extracting reasoning | `eps()` | +| `TAG_BASED` or `TOOLS_ONLY` (non-empty start) | `optional(start + reasoning(until(end)) + end + space())` | +| `TAG_BASED` or `TOOLS_ONLY` (empty start) | `optional(reasoning(until(end)) + end + space())` — delimiter-style | + +Note: The start marker may be empty either because the analyzer detected delimiter-style reasoning, or because `generate_parser()` cleared a template artifact start marker (see Generation Prompt & Reasoning Prefill above). Whitespace-only reasoning content (e.g. from a `` prefill) is discarded by the mapper. #### Content Parser (`analyze_content::build_parser`) @@ -410,9 +420,7 @@ All three tool parsers return: reasoning + optional(content(until(trigger_marker))) + tool_calls + end() ``` -### Python Dict Format - -When `format.uses_python_dicts` is true (detected when single-quoted strings appear in JSON argument context), `build_parser()` pre-registers a `json-string` rule that accepts both single-quoted and double-quoted strings. This is done before any `p.json()` call so all JSON parsing inherits the flexible rule. +Each returned parser is wrapped by `wrap_for_generation_prompt()`, which prepends a literal for any boilerplate prefix of the generation prompt (the portion before the reasoning start marker). ## Mapper @@ -421,22 +429,22 @@ When `format.uses_python_dicts` is true (detected when single-quoted strings app - **Buffered arguments**: Before `tool_name` is known, argument text goes to `args_buffer`; once the name is set, the buffer is flushed to `current_tool->arguments` - **`args_target()`**: Returns a reference to whichever destination is currently active (buffer or tool args), eliminating branching - **`closing_quote_pending`**: Tracks whether a closing `"` needs to be appended when a string argument value is finalized (for schema-declared string types in tagged format) -- **Quote normalization**: Python-style quotes (`'key': 'value'`) are converted to JSON (`"key": "value"`) +- **Whitespace-only reasoning**: Reasoning content that consists entirely of whitespace (e.g. from a `` prefill) is cleared so the message shows no reasoning - **Brace auto-closing**: At tool close, unclosed `{` braces are closed automatically ## Files -| File | Purpose | -|-------------------------------------------|----------------------------------------------------------------------| -| `common/chat-auto-parser.h` | All analysis structs, enums, `autoparser`, `peg_generator`, `templates_params` | -| `common/chat-auto-parser-generator.cpp` | Parser generator: `generate_parser()` and `build_parser()` methods | -| `common/chat-diff-analyzer.cpp` | Differential analysis implementation and workarounds | -| `common/chat-auto-parser-helpers.h/cpp` | `calculate_diff_split()`, `segmentize_markers()`, | -| | `compare_variants()`, string helpers | -| `common/chat-peg-parser.h/cpp` | `common_chat_peg_builder`, `common_chat_peg_mapper`, and helpers | -| `common/chat.cpp` | Entry point: `common_chat_templates_apply_jinja()` | -| `tools/parser/debug-template-parser.cpp` | Debug tool for template analysis | -| `tools/parser/template-analysis.cpp` | Template analysis tool | +| File | Purpose | +|-------------------------------------------|---------------------------------------------------------------------------------| +| `common/chat-auto-parser.h` | All analysis structs, enums, `autoparser`, `peg_generator`, `generation_params` | +| `common/chat-auto-parser-generator.cpp` | Parser generator: `generate_parser()` and `build_parser()` methods | +| `common/chat-diff-analyzer.cpp` | Differential analysis implementation and workarounds | +| `common/chat-auto-parser-helpers.h/cpp` | `calculate_diff_split()`, `segmentize_markers()`, `compare_variants()`, | +| | `wrap_for_generation_prompt()`, string helpers | +| `common/chat-peg-parser.h/cpp` | `common_chat_peg_builder`, `common_chat_peg_mapper`, and helpers | +| `common/chat.cpp` | Entry point: `common_chat_templates_apply_jinja()` | +| `tools/parser/debug-template-parser.cpp` | Debug tool for template analysis | +| `tools/parser/template-analysis.cpp` | Template analysis tool | ## Testing & Debugging @@ -516,10 +524,10 @@ To support a new template format: ## Edge Cases and Quirks -1. **Forced Thinking**: When `enable_thinking=true` and the model prompt ends with an open reasoning tag (e.g., ``), the parser enters forced thinking mode and immediately expects reasoning content without waiting for a start marker. +1. **Generation Prompt & Reasoning Prefill**: The generation prompt is extracted by diffing `add_generation_prompt=false` vs `true` in `common_chat_templates_apply_jinja`, so it contains exactly what the template appends — avoiding false positives from prior conversation turns. 2. **Per-Call vs Per-Section Markers**: Some templates wrap each tool call individually (`per_call_start/end`); others wrap the entire section (`section_start/end`). T2 (`check_per_call_markers()`) disambiguates by checking if the second call in a two-call output starts with the section marker. -3. **Python Dict Format**: The Seed template family uses single-quoted JSON (`'key': 'value'`). The `uses_python_dicts` flag causes the PEG builder to register a flexible `json-string` rule accepting both quote styles before any JSON rules are built. -4. **Tag Boundary Fixing**: `calculate_diff_split()` iteratively adjusts prefix/suffix boundaries to avoid splitting `` or `[marker]` tokens, ensuring clean extraction. -5. **Call ID Side Effects**: When a call ID is detected, `per_call_end` may have been incorrectly set to include the call ID suffix. T7 clears `per_call_end` in this case. -6. **Tool Analysis Gating**: `analyze_tools` is only constructed (and all tool analysis phases run) when `jinja_caps.supports_tool_calls` is true. Within tool analysis, `check_per_call_markers()` (T2) only runs if `jinja_caps.supports_parallel_tool_calls`. -7. **`analyze_arguments()` Gating**: Within tool analysis, A1 and A2 (argument name/value marker extraction) only run for `TAG_WITH_TAGGED` format. `extract_argument_separator()` and `extract_args_markers()` run for all non-`JSON_NATIVE` formats. +3. **Tag Boundary Fixing**: `calculate_diff_split()` iteratively adjusts prefix/suffix boundaries to avoid splitting `` or `[marker]` tokens, ensuring clean extraction. +4. **Call ID Side Effects**: When a call ID is detected, `per_call_end` may have been incorrectly set to include the call ID suffix. T7 clears `per_call_end` in this case. +5. **Tool Analysis Gating**: `analyze_tools` is only constructed (and all tool analysis phases run) when `jinja_caps.supports_tool_calls` is true. Within tool analysis, `check_per_call_markers()` (T2) only runs if `jinja_caps.supports_parallel_tool_calls`. +6. **`analyze_arguments()` Gating**: Within tool analysis, A1 and A2 (argument name/value marker extraction) only run for `TAG_WITH_TAGGED` format. `extract_argument_separator()` and `extract_args_markers()` run for all non-`JSON_NATIVE` formats. +7. **Undetected Tool Format**: If `analyze_tools` concludes tool calling is supported but cannot determine the format, `build_parser()` logs an error and returns `eps()` (graceful degradation) rather than aborting. diff --git a/docs/backend/OPENVINO.md b/docs/backend/OPENVINO.md new file mode 100644 index 0000000000..2c57dc1a59 --- /dev/null +++ b/docs/backend/OPENVINO.md @@ -0,0 +1,343 @@ +# OpenVINO Backend for llama.cpp +[OpenVINO](https://docs.openvino.ai/) is an open-source toolkit for optimizing and deploying high-performance AI inference, specifically designed for Intel hardware, including CPUs, GPUs, and NPUs, in the cloud, on-premises, and on the edge. +This document describes the [OpenVINO backend for llama.cpp](../../src/ggml-openvino), which enables hardware-accelerated inference on **Intel® CPUs, GPUs, and NPUs** while remaining compatible with the existing **GGUF model ecosystem**. The backend translates GGML compute graphs into OpenVINO graphs and leverages graph compilation, kernel fusion, and device-specific optimizations to improve inference performance on supported Intel hardware. + +The OpenVINO backend is implemented in `ggml/src/ggml-openvino` and provides a translation layer for core GGML operations. The OpenVINO backend replaces the standard GGML graph execution path with Intel's OpenVINO inference engine. This approach allows the same GGUF model file to run on Intel CPUs, Intel GPUs (integrated and discrete), and Intel NPUs without changes to the model or the rest of the llama.cpp stack. When a `ggml_cgraph` is dispatched to OpenVINO backend, it: + +- Walks the GGML graph and identifies inputs, outputs, weights, and KV cache tensors. +- Translates the GGML operations into an `ov::Model` using OpenVINO's frontend API. +- Compiles and caches the model for the target device. +- Binds GGML tensor memory to OpenVINO inference tensors and runs inference. + +## Supported Devices + +OpenVINO backend supports the following hardware: + +- Intel CPUs +- Intel GPUs (integrated and discrete) +- Intel NPUs + +Although OpenVINO supports a wide range of [Intel hardware](https://docs.openvino.ai/2026/about-openvino/release-notes-openvino/system-requirements.html), the llama.cpp OpenVINO backend has been validated specifically on AI PCs such as the Intel® Core™ Ultra Series 1 and Series 2. + +## Supported Model Precisions + +- `FP16` +- `BF16` (on Intel Xeon) +- `Q8_0` +- `Q4_0` +- `Q4_1` +- `Q4_K` +- `Q4_K_M` +- `Q5_K` (converted to Q8_0_C at runtime) +- `Q6_K` (converted to Q8_0_C at runtime) + +> [!NOTE] +> Accuracy validation and performance optimizations for quantized models are a work in progress. + +## Quantization Support Details + +### CPU and GPU + +- **`Q4_0`, `Q4_1`, `Q4_K_M`, `Q6_K` models are supported** +- `Q5_K` and `Q6_K` tensors are converted to `Q8_0_C` + +### NPU + +- **Primary supported quantization scheme is `Q4_0`** +- `Q6_K` tensors are requantized to `Q4_0_128` in general. For embedding weights, `Q6_K` tensors are requantized to `Q8_0_C` except for the token embedding matrix which is dequantized to fp16 + +### Additional Notes + +- Both `Q4_0` and `Q4_1` models use `Q6_K` for the token embedding tensor and the final matmul weight tensor (often the same tensor) +- `Q4_0` models may produce some `Q4_1` tensors if an imatrix is provided during quantization using `llama-quantize` +- `Q4_K_M` models may include both `Q6_K` and `Q5_K` tensors (observed in Phi-3) + +## Validated Models + +The following models have been validated for functionality on Intel® Core™ Ultra Series 1 and Series 2: + +- [Llama-3.2-1B-Instruct-GGUF](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-GGUF/) +- [Llama-3.1-8B-Instruct](https://huggingface.co/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF) +- [microsoft/Phi-3-mini-4k-instruct-gguf](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct-gguf) +- [Qwen/Qwen2.5-1.5B-Instruct-GGUF](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct-GGUF) +- [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B-GGUF) +- [openbmb/MiniCPM-1B-sft-bf16](https://huggingface.co/openbmb/MiniCPM-S-1B-sft-gguf) +- [tencent/Hunyuan-7B-Instruct](https://huggingface.co/bartowski/tencent_Hunyuan-7B-Instruct-GGUF) +- [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/bartowski/Mistral-7B-Instruct-v0.3-GGUF) +- [bartowski/DeepSeek-R1-Distill-Llama-8B-GGUF](https://huggingface.co/bartowski/DeepSeek-R1-Distill-Llama-8B-GGUF) + +## Build Instructions + +### Prerequisites + +- Linux or Windows system with Intel hardware (CPU, GPU, or NPU) +- **For Intel GPU or NPU Usage**: Install the appropriate hardware drivers for your Intel GPU or NPU. For detailed instructions, see: [Additional Configurations for Hardware Acceleration](https://docs.openvino.ai/2025/get-started/install-openvino/configurations.html). + +- **Linux:** + - Git, CMake, and Ninja software tools are needed for building. + ```bash + sudo apt-get update + sudo apt-get install -y build-essential libcurl4-openssl-dev libtbb12 cmake ninja-build python3-pip curl wget tar + ``` + - OpenCL + ```bash + sudo apt install ocl-icd-opencl-dev opencl-headers opencl-clhpp-headers intel-opencl-icd + ``` + +- **Windows:** + - Download and install [Microsoft Visual Studio 2022 Build Tools](https://aka.ms/vs/17/release/vs_BuildTools.exe). During installation, select the **"Desktop development with C++"** workload. + + - Install required tools: + ```powershell + # Windows PowerShell + winget install Git.Git + winget install GNU.Wget + winget install Ninja-build.Ninja + ``` + + - Install **OpenCL** using **vcpkg**: + ```powershell + # Windows PowerShell + cd C:\ + git clone https://github.com/microsoft/vcpkg + cd vcpkg + .\bootstrap-vcpkg.bat + .\vcpkg install opencl + # Optional but recommended: Integrate vcpkg with Visual Studio / CMake: + .\vcpkg integrate install + ``` + +### 1. Install OpenVINO Runtime + +- Follow the guide to install OpenVINO Runtime from an archive file: [Linux](https://docs.openvino.ai/2026/get-started/install-openvino/install-openvino-archive-linux.html) | [Windows](https://docs.openvino.ai/2026/get-started/install-openvino/install-openvino-archive-windows.html) + +- **Linux:** + +
+ 📦 Click to expand OpenVINO installation from an archive file on Ubuntu +
+ + ```bash + wget https://raw.githubusercontent.com/ravi9/misc-scripts/main/openvino/ov-archive-install/install-openvino-from-archive.sh + chmod +x install-openvino-from-archive.sh + ./install-openvino-from-archive.sh + ``` + + Verify OpenVINO is initialized properly: + ```bash + echo $OpenVINO_DIR + ``` +
+ + +### 2. Build llama.cpp with OpenVINO Backend + +Clone the OpenVINO-enabled llama.cpp fork and build it: + +```bash +git clone https://github.com/ggml-org/llama.cpp +cd llama.cpp +``` + +- **Linux:** + ```bash + source /opt/intel/openvino/setupvars.sh + cmake -B build/ReleaseOV -G Ninja -DCMAKE_BUILD_TYPE=Release -DGGML_OPENVINO=ON + cmake --build build/ReleaseOV --parallel + ``` + +- **Windows:** + ```cmd + # x64 Native Tools Command Prompt for VS 2022 + "C:\Program Files (x86)\Intel\openvino_2026.0\setupvars.bat" + cmake -B build\ReleaseOV -G Ninja -DCMAKE_BUILD_TYPE=Release -DGGML_OPENVINO=ON -DLLAMA_CURL=OFF -DCMAKE_TOOLCHAIN_FILE=C:\vcpkg\scripts\buildsystems\vcpkg.cmake + cmake --build build\ReleaseOV --parallel + ``` +> [!NOTE] +> Use `x64 Native Tools Command Prompt` for Windows build. After building, you could use either `cmd` or `PowerShell` to run the OpenVINO backend. + +### 3. Download Sample Model + +Download models for testing: + +```bash +# Linux +mkdir -p ~/models/ +wget https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-GGUF/resolve/main/Llama-3.2-1B-Instruct-Q4_0.gguf \ + -O ~/models/Llama-3.2-1B-Instruct-Q4_0.gguf + +# Windows PowerShell +mkdir C:\models +Invoke-WebRequest -Uri https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-GGUF/resolve/main/Llama-3.2-1B-Instruct-Q4_0.gguf -OutFile C:\models\Llama-3.2-1B-Instruct-Q4_0.gguf + +# Windows Command Line +mkdir C:\models +curl -L https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-GGUF/resolve/main/Llama-3.2-1B-Instruct-Q4_0.gguf -o C:\models\Llama-3.2-1B-Instruct-Q4_0.gguf +``` + +### 4. Run Inference with OpenVINO Backend + +When using the OpenVINO backend, the first inference token may have slightly higher latency due to on-the-fly conversion to the OpenVINO graph. Subsequent tokens and runs will be faster. + +```bash +# If device is unset or unavailable, defaults to CPU. +# If the system has multiple GPUs, use GPU.0 or GPU.1 to explicitly target a specific GPU. + +# Linux +export GGML_OPENVINO_DEVICE=GPU +# To run llama-simple: +./build/ReleaseOV/bin/llama-simple -m ~/models/Llama-3.2-1B-Instruct-Q4_0.gguf -n 50 "The story of AI is " +# To run in chat mode: +./build/ReleaseOV/bin/llama-cli -m ~/models/Llama-3.2-1B-Instruct-Q4_0.gguf + +# Windows Command Line +set GGML_OPENVINO_DEVICE=GPU +# Windows PowerShell +$env:GGML_OPENVINO_DEVICE = "GPU" + +# To run llama-simple +build\ReleaseOV\bin\llama-simple.exe -m "C:\models\Llama-3.2-1B-Instruct-Q4_0.gguf" -n 50 "The story of AI is " +# To run in chat mode: +build\ReleaseOV\bin\llama-cli.exe -m "C:\models\Llama-3.2-1B-Instruct-Q4_0.gguf" + +``` +> [!NOTE] +> On systems with multiple GPUs, use `GPU.0` or `GPU.1` to explicitly target specific GPU. See [OpenVINO GPU Device](https://docs.openvino.ai/2026/openvino-workflow/running-inference/inference-devices-and-modes/gpu-device.html) for more details. + + +### Docker Build + +You can build and run llama.cpp with OpenVINO backend using Docker. + +```bash +# Build the base runtime image with compiled shared libraries and minimal dependencies. +docker build -t llama-openvino:base -f .devops/openvino.Dockerfile . + +# Build the complete image with all binaries, Python tools, gguf-py library, and model conversion utilities. +docker build --target=full -t llama-openvino:full -f .devops/openvino.Dockerfile . + +# Build a minimal CLI-only image containing just the llama-cli executable. +docker build --target=light -t llama-openvino:light -f .devops/openvino.Dockerfile . + +# Builds a server-only image with llama-server executable, health check endpoint, and REST API support. +docker build --target=server -t llama-openvino:server -f .devops/openvino.Dockerfile . + +# If you are behind a proxy: +docker build --build-arg http_proxy=$http_proxy --build-arg https_proxy=$https_proxy --target=light -t llama-openvino:light -f .devops/openvino.Dockerfile . +``` + +Run llama.cpp with OpenVINO backend Docker container. +Save sample models in `~/models` as [shown above](#3-download-sample-model). It will be mounted to the container in the examples below. + +```bash +# Run Docker container +docker run --rm -it -v ~/models:/models llama-openvino:light --no-warmup -m /models/Llama-3.2-1B-Instruct-Q4_0.gguf + +# With Intel GPU access (iGPU or dGPU) +docker run --rm -it -v ~/models:/models \ +--device=/dev/dri --group-add=$(stat -c "%g" /dev/dri/render* | head -n 1) -u $(id -u):$(id -g) \ +llama-openvino:light --no-warmup -m /models/Llama-3.2-1B-Instruct-Q4_0.gguf + +# With Intel NPU access +docker run --rm -it --env GGML_OPENVINO_DEVICE=NPU -v ~/models:/models \ +--device=/dev/accel --group-add=$(stat -c "%g" /dev/dri/render* | head -n 1) -u $(id -u):$(id -g) \ +llama-openvino:light --no-warmup -m /models/Llama-3.2-1B-Instruct-Q4_0.gguf +``` + +Run Llama.cpp Server with OpenVINO Backend: +```bash +# Run the Server Docker container +docker run --rm -it -p 8080:8080 -v ~/models:/models llama-openvino:server --no-warmup -m /models/Llama-3.2-1B-Instruct-Q4_0.gguf + +# In a NEW terminal, test the server with curl + +# If you are behind a proxy, make sure to set NO_PROXY to avoid proxy for localhost +export NO_PROXY=localhost,127.0.0.1 + +# Test health endpoint +curl -f http://localhost:8080/health + +# Test with a simple prompt +curl -X POST "http://localhost:8080/v1/chat/completions" -H "Content-Type: application/json" \ + -d '{"messages":[{"role":"user","content":"Write a poem about OpenVINO"}],"max_tokens":100}' | jq . +``` + +## Runtime Configuration + +The OpenVINO backend can be configured using the following environment variables at runtime to control device selection, caching, debugging, and profiling behavior. + +### Configuration Options + +| Variable | Default | Description | +|-----------------------------------|------------|-------------------------------------------------------------------------------------------------------------| +| `GGML_OPENVINO_DEVICE` | `CPU` | Specify the target device (CPU, GPU, NPU). On systems with multiple GPUs, use `GPU.0` or `GPU.1` to explicitly target specific GPU. See [OpenVINO GPU Device](https://docs.openvino.ai/2026/openvino-workflow/running-inference/inference-devices-and-modes/gpu-device.html). When set to **NPU**, static compilation mode is enabled for optimal performance. | +| `GGML_OPENVINO_CACHE_DIR` | `not set` | Directory for OpenVINO model caching (recommended: `/tmp/ov_cache`). Enables model caching when set. **Not supported on NPU devices.** | +| `GGML_OPENVINO_PREFILL_CHUNK_SIZE`| `256` | Token chunk size for **NPU** prefill. | +| `GGML_OPENVINO_STATEFUL_EXECUTION`| `0` | Enable stateful KV cache on for better performance. Recommended on CPU, GPU. | +| `GGML_OPENVINO_PROFILING` | `0` | Enable execution-time profiling. | +| `GGML_OPENVINO_DUMP_CGRAPH` | `0` | Dump the GGML compute graph to `cgraph_ov.txt`. | +| `GGML_OPENVINO_DUMP_IR` | `0` | Serialize OpenVINO IR files with timestamps. | +| `GGML_OPENVINO_DEBUG_INPUT` | `0` | Enable input debugging and print input tensor info. | +| `GGML_OPENVINO_DEBUG_OUTPUT` | `0` | Enable output debugging and print output tensor info. | +| `GGML_OPENVINO_PRINT_CGRAPH_TENSOR_ADDRESS` | `0` | Print tensor address map once. | + +> [!NOTE] +>`GGML_OPENVINO_STATEFUL_EXECUTION` is an **Experimental** feature to allow stateful execution for managing the KV cache internally inside the OpenVINO model, improving performance on CPUs and GPUs. Stateful execution is not effective on NPUs, and not all models currently support this feature. This feature is experimental and has been validated only with the llama-simple, llama-cli, llama-bench, and llama-run applications and is recommended to enable for the best performance. Other applications, such as llama-server and llama-perplexity, are not yet supported. + +### Example Usage + +#### GPU Inference with Profiling + +```bash +# If the system has multiple GPUs, use GPU.0 or GPU.1 to explicitly target a specific GPU. + +# Linux +export GGML_OPENVINO_CACHE_DIR=/tmp/ov_cache +export GGML_OPENVINO_PROFILING=1 +export GGML_OPENVINO_DEVICE=GPU + +./build/ReleaseOV/bin/llama-simple -m ~/models/Llama-3.2-1B-Instruct-Q4_0.gguf -n 50 "The story of AI is " + +# Windows Command Line +set GGML_OPENVINO_CACHE_DIR=C:\tmp\ov_cache +set GGML_OPENVINO_PROFILING=1 +set GGML_OPENVINO_DEVICE=GPU + +# Windows PowerShell +$env:GGML_OPENVINO_CACHE_DIR = "C:\tmp\ov_cache" +$env:GGML_OPENVINO_PROFILING = "1" +$env:GGML_OPENVINO_DEVICE = "GPU" + +build\ReleaseOV\bin\llama-simple.exe -m "C:\models\Llama-3.2-1B-Instruct-Q4_0.gguf" -n 50 "The story of AI is " + +``` + +#### llama-bench + +```bash +# -fa 1 is required when running llama-bench with the OpenVINO backend. +GGML_OPENVINO_DEVICE=GPU ./llama-bench -fa 1 +``` + +### NPU Notes + +- Model caching is not yet supported +- Does not support llama-server -np > 1 (multiple parallel sequences) +- Only supports llama-perplexity -b 512 or smaller + +## Llama.cpp Tools + +The following tools work with the OpenVINO backend on CPU, GPU, NPU: +- llama-simple +- llama-run +- llama-cli +- llama-server +- llama-bench +- llama-perplexity + +## Work in Progress + +- Performance and memory optimizations +- Accuracy validation +- Broader quantization coverage +- Support for additional model architectures diff --git a/docs/backend/SYCL.md b/docs/backend/SYCL.md index dd4c66dbe9..7fb78eae37 100644 --- a/docs/backend/SYCL.md +++ b/docs/backend/SYCL.md @@ -9,6 +9,7 @@ - [Linux](#linux) - [Windows](#windows) - [Environment Variable](#environment-variable) +- [Design Rule](#design-rule) - [Known Issue](#known-issues) - [Q&A](#qa) - [TODO](#todo) @@ -41,6 +42,9 @@ The following releases are verified and recommended: ## News +- 2026.03 + - Support Flash-Attention: less memory usage, performance impact depends on LLM. + - 2026.02 - Remove support for Nvidia & AMD GPU, because the oneAPI plugin for Nvidia & AMD GPU is unavailable: download/installation channels are out of work. User can't build up the software for Nvidia & AMD GPU. @@ -378,17 +382,27 @@ use 1 SYCL GPUs: [0] with Max compute units:512 ## Windows -### I. Setup Environment - -1. Install GPU driver +### Install GPU driver Intel GPU drivers instructions guide and download page can be found here: [Get Intel GPU Drivers](https://www.intel.com/content/www/us/en/products/docs/discrete-gpus/arc/software/drivers.html). -2. Install Visual Studio +### Option 1: download the binary package directly + +Download the binary package for Windows from: https://github.com/ggml-org/llama.cpp/releases. + +Extract the package to local folder, run the llama tools directly. Refer to [Run the inference](#iii-run-the-inference-1). + +Note, the package includes the SYCL running time and all depended dll files, no need to install oneAPI package and activte them. + +### Option 2: build locally from the source code. + +#### I. Setup environment + +1. Install Visual Studio If you already have a recent version of Microsoft Visual Studio, you can skip this step. Otherwise, please refer to the official download page for [Microsoft Visual Studio](https://visualstudio.microsoft.com/). -3. Install Intel® oneAPI Base toolkit +2. Install Intel® oneAPI Base toolkit SYCL backend depends on: - Intel® oneAPI DPC++/C++ compiler/running-time. @@ -439,25 +453,25 @@ Output (example): [ext_oneapi_level_zero:gpu:0] Intel(R) Level-Zero, Intel(R) Iris(R) Xe Graphics 1.3 [1.3.28044] ``` -4. Install build tools +3. Install build tools a. Download & install cmake for Windows: https://cmake.org/download/ (CMake can also be installed from Visual Studio Installer) b. The new Visual Studio will install Ninja as default. (If not, please install it manually: https://ninja-build.org/) -### II. Build llama.cpp +#### II. Build llama.cpp You could download the release package for Windows directly, which including binary files and depended oneAPI dll files. Choose one of following methods to build from source code. -#### 1. Script +##### Option 1: Script ```sh .\examples\sycl\win-build-sycl.bat ``` -#### 2. CMake +##### Option 2: CMake On the oneAPI command line window, step into the llama.cpp main directory and run the following: @@ -486,7 +500,7 @@ cmake --preset x64-windows-sycl-debug cmake --build build-x64-windows-sycl-debug -j --target llama-completion ``` -#### 3. Visual Studio +##### Option 3: Visual Studio You have two options to use Visual Studio to build llama.cpp: - As CMake Project using CMake presets. @@ -496,7 +510,7 @@ You have two options to use Visual Studio to build llama.cpp: All following commands are executed in PowerShell. -##### - Open as a CMake Project +###### - Open as a CMake Project You can use Visual Studio to open the `llama.cpp` folder directly as a CMake project. Before compiling, select one of the SYCL CMake presets: @@ -511,7 +525,7 @@ You can use Visual Studio to open the `llama.cpp` folder directly as a CMake pro cmake --build build --config Release -j --target llama-completion ``` -##### - Generating a Visual Studio Solution +###### - Generating a Visual Studio Solution You can use Visual Studio solution to build and work on llama.cpp on Windows. You need to convert the CMake Project into a `.sln` file. @@ -599,7 +613,7 @@ found 2 SYCL devices: ``` -#### Choose level-zero devices +##### Choose level-zero devices |Chosen Device ID|Setting| |-|-| @@ -607,7 +621,7 @@ found 2 SYCL devices: |1|`set ONEAPI_DEVICE_SELECTOR="level_zero:1"`| |0 & 1|`set ONEAPI_DEVICE_SELECTOR="level_zero:0;level_zero:1"` or `set ONEAPI_DEVICE_SELECTOR="level_zero:*"`| -#### Execute +##### Execute Choose one of following methods to run. @@ -665,7 +679,7 @@ use 1 SYCL GPUs: [0] with Max compute units:512 ## Environment Variable -#### Build +### Build | Name | Value | Function | |--------------------|---------------------------------------|---------------------------------------------| @@ -680,23 +694,50 @@ use 1 SYCL GPUs: [0] with Max compute units:512 1. FP32 or FP16 have different performance impact to LLM. Recommended to test them for better prompt processing performance on your models. You need to rebuild the code after change `GGML_SYCL_F16=OFF/ON`. -#### Runtime +### Runtime | Name | Value | Function | |-------------------|------------------|---------------------------------------------------------------------------------------------------------------------------| | GGML_SYCL_DEBUG | 0 (default) or 1 | Enable log function by macro: GGML_SYCL_DEBUG | +| GGML_SYCL_ENABLE_FLASH_ATTN | 1 (default) or 0| Enable Flash-Attention. It can reduce memory usage. The performance impact depends on the LLM.| | GGML_SYCL_DISABLE_OPT | 0 (default) or 1 | Disable optimize features for Intel GPUs. (Recommended to 1 for intel devices older than Gen 10) | | GGML_SYCL_DISABLE_GRAPH | 0 or 1 (default) | Disable running computations through SYCL Graphs feature. Disabled by default because SYCL Graph is still on development, no better performance. | | GGML_SYCL_DISABLE_DNN | 0 (default) or 1 | Disable running computations through oneDNN and always use oneMKL. | | ZES_ENABLE_SYSMAN | 0 (default) or 1 | Support to get free memory of GPU by sycl::aspect::ext_intel_free_memory.
Recommended to use when --split-mode = layer | | UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS | 0 (default) or 1 | Support malloc device memory more than 4GB.| +## Design Rule +- Open to all contributors. + +- All code change should be useful to user: + - Fix bug. + - Add new function. + - Improve the performance/usage. + - Make code be easy to maintain. + - ... + +- Don't accept the codes of following cases: + - Break legacy function. + - Reduce the performance of legacy case in default. + - Not completed work/the functionality cannot be demonstrated. + +- Encourage to use environment variable to control features to be opened/closed. + - User can evaluate the feature without rebuild the code. + - Recommend the best features to user by setting them be opened as default. + +- Design the code based on the published official releases of oneAPI packages: compiler, library, driver, OS kernel. + +- Developers need to maintain the code they submit. ## Known Issues - `Split-mode:[row]` is not supported. +- Missed the AOT (Ahead-of-Time) in buiding. + - Good: build quickly, smaller size of binary file. + - Bad: The startup is slow (JIT) in first time, but subsequent performance is unaffected. + ## Q&A - Error: `error while loading shared libraries: libsycl.so: cannot open shared object file: No such file or directory`. @@ -746,7 +787,7 @@ use 1 SYCL GPUs: [0] with Max compute units:512 ``` ### **GitHub contribution**: -Please add the `SYCL :` prefix/tag in issues/PRs titles to help the SYCL contributors to check/address them without delay. +Please add the `[SYCL]` prefix/tag in issues/PRs titles to help the SYCL contributors to check/address them without delay. ## TODO diff --git a/docs/backend/VirtGPU/development.md b/docs/backend/VirtGPU/development.md index ca2e47772a..c5c85dfb49 100644 --- a/docs/backend/VirtGPU/development.md +++ b/docs/backend/VirtGPU/development.md @@ -55,7 +55,8 @@ LLAMA_MAC_BUILD=$PWD/build/ggml-virtgpu-backend cmake -S . -B $LLAMA_MAC_BUILD \ -DGGML_NATIVE=OFF \ -DLLAMA_CURL=ON \ - -DGGML_REMOTINGBACKEND=ONLY \ + -DGGML_VIRTGPU=ON \ + -DGGML_VIRTGPU_BACKEND=ONLY \ -DGGML_METAL=ON TARGETS="ggml-metal" @@ -71,6 +72,7 @@ cmake --build $LLAMA_MAC_BUILD --parallel 8 --target $EXTRA_TARGETS ```bash # Build virglrenderer with APIR support mkdir virglrenderer +cd virglrenderer git clone https://gitlab.freedesktop.org/kpouget/virglrenderer -b main-macos src cd src @@ -95,7 +97,7 @@ mkdir llama.cpp git clone https://github.com/ggml-org/llama.cpp.git src cd src -LLAMA_LINUX_BUILD=$PWD//build-virtgpu +LLAMA_LINUX_BUILD=$PWD/build-virtgpu cmake -S . -B $LLAMA_LINUX_BUILD \ -DGGML_VIRTGPU=ON diff --git a/docs/build.md b/docs/build.md index 772731f641..508245d536 100644 --- a/docs/build.md +++ b/docs/build.md @@ -13,6 +13,21 @@ cd llama.cpp The following sections describe how to build with different backends and options. +* [CPU Build](#cpu-build) +* [BLAS Build](#blas-build) +* [Metal Build](#metal-build) +* [SYCL](#sycl) +* [CUDA](#cuda) +* [MUSA](#musa) +* [HIP](#hip) +* [Vulkan](#vulkan) +* [CANN](#cann) +* [Arm® KleidiAI™](#arm-kleidiai) +* [OpenCL](#opencl) +* [Android](#android-1) +* [OpenVINO](#openvino) +* [Notes about GPU-accelerated backends](#notes-about-gpu-accelerated-backends) + ## CPU Build Build llama.cpp using `CMake`: @@ -254,6 +269,14 @@ The environment variable [`CUDA_SCALE_LAUNCH_QUEUES`](https://docs.nvidia.com/cu Consider setting `CUDA_SCALE_LAUNCH_QUEUES=4x`, which increases the CUDA command buffer to 4 times its default size. This optimization is particularly beneficial for **Multi-GPU setups with pipeline parallelism**, where it significantly improves prompt processing throughput by allowing more operations to be enqueued across GPUs. +#### GGML_CUDA_FORCE_CUBLAS_COMPUTE_32F + +Use `GGML_CUDA_FORCE_CUBLAS_COMPUTE_32F` environment variable to use FP32 compute type on all GPUs in FP16 cuBLAS for preventing possible numerical overflows in exchange for slower prompt processing (small impact on RTX PRO/Datacenter products and significant on GeForce products). + +#### GGML_CUDA_FORCE_CUBLAS_COMPUTE_16F + +Use `GGML_CUDA_FORCE_CUBLAS_COMPUTE_16F` environment variable to force use FP16 compute type (instead of default FP32) in FP16 cuBLAS for V100, CDNA and RDNA4. + ### Unified Memory The environment variable `GGML_CUDA_ENABLE_UNIFIED_MEMORY=1` can be used to enable unified memory in Linux. This allows swapping to system RAM instead of crashing when the GPU VRAM is exhausted. In Windows this setting is available in the NVIDIA control panel as `System Memory Fallback`. @@ -265,7 +288,7 @@ The following compilation options are also available to tweak performance: | Option | Legal values | Default | Description | |-------------------------------|------------------------|---------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | GGML_CUDA_FORCE_MMQ | Boolean | false | Force the use of custom matrix multiplication kernels for quantized models instead of FP16 cuBLAS even if there is no int8 tensor core implementation available (affects V100, CDNA and RDNA3+). MMQ kernels are enabled by default on GPUs with int8 tensor core support. With MMQ force enabled, speed for large batch sizes will be worse but VRAM consumption will be lower. | -| GGML_CUDA_FORCE_CUBLAS | Boolean | false | Force the use of FP16 cuBLAS instead of custom matrix multiplication kernels for quantized models. There may be issues with numerical overflows (except for CDNA and RDNA4) and memory use will be higher. Prompt processing may become faster on recent datacenter GPUs (the custom kernels were tuned primarily for RTX 3000/4000). | +| GGML_CUDA_FORCE_CUBLAS | Boolean | false | Force the use of FP16 cuBLAS instead of custom matrix multiplication kernels for quantized models. There may be issues with numerical overflows (except for V100, CDNA and RDNA4 which use FP32 compute type by default) and memory use will be higher. Prompt processing may become faster on recent datacenter GPUs (the custom kernels were tuned primarily for RTX 3000/4000). | | GGML_CUDA_PEER_MAX_BATCH_SIZE | Positive integer | 128 | Maximum batch size for which to enable peer access between multiple GPUs. Peer access requires either Linux or NVLink. When using NVLink enabling peer access for larger batch sizes is potentially beneficial. | | GGML_CUDA_FA_ALL_QUANTS | Boolean | false | Compile support for all KV cache quantization type (combinations) for the FlashAttention CUDA kernels. More fine-grained control over KV cache size but compilation takes much longer. | @@ -599,7 +622,13 @@ If KleidiAI is enabled, the output will contain a line similar to: ``` load_tensors: CPU_KLEIDIAI model buffer size = 3474.00 MiB ``` -KleidiAI's microkernels implement optimized tensor operations using Arm CPU features such as dotprod, int8mm and SME. llama.cpp selects the most efficient kernel based on runtime CPU feature detection. However, on platforms that support SME, you must manually enable SME microkernels by setting the environment variable `GGML_KLEIDIAI_SME=1`. +KleidiAI’s microkernels implement optimized tensor operations using Arm CPU features such as dotprod, int8mm, SVE, and SME. Llama.cpp selects the most efficient kernels at runtime based on detected CPU capabilities. +On CPUs that support SME, SME microkernels are enabled automatically using runtime detection. +The environment variable GGML_KLEIDIAI_SME can be used to control SME behavior: +- Not set: enable SME automatically if supported and detected. +- 0: disable SME. +- > 0: enable SME and assume available SME units (override auto detection). +If SME is not supported by the CPU, SME microkernels are always disabled. Depending on your build target, other higher priority backends may be enabled by default. To ensure the CPU backend is used, you must disable the higher priority backends either at compile time, e.g. -DGGML_METAL=OFF, or during run-time using the command line option `--device none`. @@ -718,6 +747,14 @@ Follow the instructions [here](https://dawn.googlesource.com/dawn/+/refs/heads/m To read documentation for how to build on IBM Z & LinuxONE, [click here](./build-s390x.md) +## OpenVINO + +[OpenVINO](https://docs.openvino.ai/) is an open-source toolkit for optimizing and deploying high-performance AI inference, specifically designed for Intel hardware (CPUs, GPUs, and NPUs). + +For build instructions and usage examples, refer to [OPENVINO.md](backend/OPENVINO.md). + + +--- ## Notes about GPU-accelerated backends The GPU may still be used to accelerate some parts of the computation even when using the `-ngl 0` option. You can fully disable GPU acceleration by using `--device none`. diff --git a/docs/docker.md b/docs/docker.md index a3b263497c..9fb5e65eaf 100644 --- a/docs/docker.md +++ b/docs/docker.md @@ -28,6 +28,9 @@ Additionally, there the following images, similar to the above: - `ghcr.io/ggml-org/llama.cpp:full-vulkan`: Same as `full` but compiled with Vulkan support. (platforms: `linux/amd64`) - `ghcr.io/ggml-org/llama.cpp:light-vulkan`: Same as `light` but compiled with Vulkan support. (platforms: `linux/amd64`) - `ghcr.io/ggml-org/llama.cpp:server-vulkan`: Same as `server` but compiled with Vulkan support. (platforms: `linux/amd64`) +- `ghcr.io/ggml-org/llama.cpp:full-openvino`: Same as `full` but compiled with OpenVino support. (platforms: `linux/amd64`) +- `ghcr.io/ggml-org/llama.cpp:light-openvino`: Same as `light` but compiled with OpenVino support. (platforms: `linux/amd64`) +- `ghcr.io/ggml-org/llama.cpp:server-openvino`: Same as `server` but compiled with OpenVino support. (platforms: `linux/amd64`) The GPU enabled images are not currently tested by CI beyond being built. They are not built with any variation from the ones in the Dockerfiles defined in [.devops/](../.devops/) and the GitHub Action defined in [.github/workflows/docker.yml](../.github/workflows/docker.yml). If you need different settings (for example, a different CUDA, ROCm or MUSA library, you'll need to build the images locally for now). diff --git a/docs/ops.md b/docs/ops.md index 8213bc6abf..b8a2d2a92e 100644 --- a/docs/ops.md +++ b/docs/ops.md @@ -12,10 +12,10 @@ Legend: - 🟡 Partially supported by this backend - ❌ Not supported by this backend -| Operation | BLAS | CANN | CPU | CUDA | Metal | OpenCL | SYCL | Vulkan | WebGPU | ZenDNN | zDNN | +| Operation | BLAS | CANN | CPU | CUDA | MTL | OpenCL | SYCL | Vulkan | WebGPU | ZenDNN | zDNN | |-----------|------|------|------|------|------|------|------|------|------|------|------| -| ABS | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | -| ACC | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | +| ABS | ❌ | ✅ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | +| ACC | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | 🟡 | ✅ | ❌ | ❌ | ❌ | | ADD | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | | ADD1 | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | ADD_ID | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | @@ -23,98 +23,99 @@ Legend: | ARGMAX | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | | ARGSORT | ❌ | ✅ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ | | CEIL | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | -| CLAMP | ❌ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | +| CLAMP | ❌ | ✅ | ✅ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | ❌ | ❌ | | CONCAT | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | ✅ | ✅ | ❌ | ❌ | -| CONT | ❌ | 🟡 | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | 🟡 | ❌ | ❌ | +| CONT | ❌ | 🟡 | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ❌ | ❌ | | CONV_2D | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ | | CONV_2D_DW | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | | CONV_3D | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | | CONV_TRANSPOSE_1D | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | CONV_TRANSPOSE_2D | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | -| COS | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | +| COS | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ | | COUNT_EQUAL | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | CPY | ❌ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | | CROSS_ENTROPY_LOSS | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | | CROSS_ENTROPY_LOSS_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | | CUMSUM | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | -| DIAG | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | +| DIAG | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | | DIAG_MASK_INF | ❌ | ✅ | ✅ | ✅ | ❌ | 🟡 | ✅ | ✅ | ❌ | ❌ | ❌ | | DIV | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | | DUP | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ | ❌ | -| ELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ | -| EXP | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | -| EXPM1 | ❌ | ❌ | ✅ | 🟡 | 🟡 | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | +| ELU | ❌ | ✅ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | +| EXP | ❌ | ✅ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | +| EXPM1 | ❌ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | | FILL | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | -| FLASH_ATTN_EXT | ❌ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | ❌ | 🟡 | 🟡 | ❌ | ❌ | +| FLASH_ATTN_EXT | ❌ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | | FLOOR | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ | +| GATED_DELTA_NET | ❌ | ❌ | ✅ | ❌ | 🟡 | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ | | GATED_LINEAR_ATTN | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | | GEGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | | GEGLU_ERF | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | | GEGLU_QUICK | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | -| GELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | -| GELU_ERF | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | -| GELU_QUICK | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | -| GET_ROWS | ❌ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | +| GELU | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | +| GELU_ERF | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | +| GELU_QUICK | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | +| GET_ROWS | ❌ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ❌ | ❌ | | GET_ROWS_BACK | ❌ | ❌ | 🟡 | 🟡 | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | | GROUP_NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | -| HARDSIGMOID | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | -| HARDSWISH | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | +| HARDSIGMOID | ❌ | ✅ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | +| HARDSWISH | ❌ | ✅ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | | IM2COL | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | | IM2COL_3D | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | -| L2_NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | +| L2_NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | | LEAKY_RELU | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | 🟡 | ❌ | ❌ | ❌ | -| LOG | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | +| LOG | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | 🟡 | ✅ | ✅ | ❌ | ❌ | | MEAN | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | | MUL | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | -| MUL_MAT | 🟡 | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | -| MUL_MAT_ID | ❌ | 🟡 | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ❌ | ❌ | ❌ | -| NEG | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | +| MUL_MAT | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | +| MUL_MAT_ID | ❌ | 🟡 | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | ❌ | ❌ | ❌ | +| NEG | ❌ | ✅ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | | NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | 🟡 | ❌ | ❌ | ❌ | | OPT_STEP_ADAMW | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | | OPT_STEP_SGD | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | | OUT_PROD | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ | 🟡 | | PAD | ❌ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ | | PAD_REFLECT_1D | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | -| POOL_1D | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | +| POOL_1D | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | | POOL_2D | ❌ | 🟡 | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | REGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | -| RELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | -| REPEAT | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | ❌ | ❌ | ❌ | +| RELU | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | +| REPEAT | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | | REPEAT_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | RMS_NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | | RMS_NORM_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | ROLL | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | ROPE | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | -| ROPE_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | +| ROPE_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | ROUND | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ | | RWKV_WKV6 | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | RWKV_WKV7 | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | SCALE | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | -| SET | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ | ❌ | +| SET | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | 🟡 | ✅ | ✅ | ❌ | ❌ | | SET_ROWS | ❌ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | -| SGN | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ | -| SIGMOID | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | -| SILU | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | +| SGN | ❌ | ✅ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | +| SIGMOID | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | +| SILU | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | | SILU_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | -| SIN | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | -| SOFTPLUS | ❌ | ❌ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | +| SIN | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ | +| SOFTPLUS | ❌ | ❌ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | | SOFT_MAX | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | | SOFT_MAX_BACK | ❌ | ❌ | 🟡 | 🟡 | ❌ | ❌ | 🟡 | ✅ | ❌ | ❌ | ❌ | -| SOLVE_TRI | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ | -| SQR | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | -| SQRT | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | -| SSM_CONV | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | +| SOLVE_TRI | ❌ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | +| SQR | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ❌ | ❌ | +| SQRT | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ❌ | ❌ | +| SSM_CONV | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | | SSM_SCAN | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ | -| STEP | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | +| STEP | ❌ | ✅ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | | SUB | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | | SUM | ❌ | 🟡 | ✅ | 🟡 | 🟡 | ❌ | 🟡 | 🟡 | 🟡 | ❌ | ❌ | | SUM_ROWS | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ | | SWIGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | | SWIGLU_OAI | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | -| TANH | ❌ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | +| TANH | ❌ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | | TIMESTEP_EMBEDDING | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | | TOP_K | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ | -| TRI | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | +| TRI | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | | TRUNC | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ | -| UPSCALE | ❌ | 🟡 | ✅ | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | ❌ | -| XIELU | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | +| UPSCALE | ❌ | 🟡 | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ❌ | ❌ | ❌ | +| XIELU | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | diff --git a/docs/ops/CPU.csv b/docs/ops/CPU.csv index fef3bbce70..3838502e16 100644 --- a/docs/ops/CPU.csv +++ b/docs/ops/CPU.csv @@ -878,6 +878,54 @@ "CPU","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=0,p1=1","support","1","yes","CPU" "CPU","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=0","support","1","yes","CPU" "CPU","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=0","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=1","support","1","yes","CPU" +"CPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=1","support","1","yes","CPU" "CPU","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","CPU" "CPU","IM2COL","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","CPU" "CPU","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","CPU" @@ -965,6 +1013,7 @@ "CPU","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,1,2560],ne_kernel=[3,3,1,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","CPU" "CPU","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,2560],ne_kernel=[3,3,2,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","CPU" "CPU","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[5,5,1,32],ne_kernel=[3,4,1,32],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","CPU" +"CPU","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[2,2,1536,729],ne_kernel=[2,2,1536,4096],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","CPU" "CPU","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","CPU" "CPU","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","CPU" "CPU","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","CPU" @@ -5008,12 +5057,18 @@ "CPU","DUP","type=f16,ne=[10,10,5,1],permute=[1,0,2,3]","support","1","yes","CPU" "CPU","DUP","type=i16,ne=[10,8,3,1],permute=[0,2,1,3]","support","1","yes","CPU" "CPU","DUP","type=i16,ne=[10,8,3,1],permute=[1,2,0,3]","support","1","yes","CPU" -"CPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1","support","1","yes","CPU" -"CPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2","support","1","yes","CPU" -"CPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3","support","1","yes","CPU" -"CPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1","support","1","yes","CPU" -"CPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2","support","1","yes","CPU" -"CPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3","support","1","yes","CPU" +"CPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=0","support","1","yes","CPU" +"CPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=1","support","1","yes","CPU" +"CPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=0","support","1","yes","CPU" +"CPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=1","support","1","yes","CPU" +"CPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=0","support","1","yes","CPU" +"CPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=1","support","1","yes","CPU" +"CPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=0","support","1","yes","CPU" +"CPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=1","support","1","yes","CPU" +"CPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=0","support","1","yes","CPU" +"CPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=1","support","1","yes","CPU" +"CPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=0","support","1","yes","CPU" +"CPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=1","support","1","yes","CPU" "CPU","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","CPU" "CPU","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","CPU" "CPU","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","CPU" @@ -5459,230 +5514,366 @@ "CPU","CONT","type=bf16,ne=[1,4,4,1],use_view_slice=0","support","1","yes","CPU" "CPU","CONT","type=bf16,ne=[1,8,17,1],use_view_slice=0","support","1","yes","CPU" "CPU","CONT","type=bf16,ne=[10,10,10,1],use_view_slice=0","support","1","yes","CPU" -"CPU","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU" -"CPU","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU" -"CPU","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU" -"CPU","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU" -"CPU","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","CPU" -"CPU","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","CPU" -"CPU","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","CPU" -"CPU","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","CPU" -"CPU","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","CPU" -"CPU","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","CPU" -"CPU","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","CPU" -"CPU","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","CPU" -"CPU","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU" -"CPU","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU" -"CPU","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU" -"CPU","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU" -"CPU","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","CPU" 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"CPU","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","CPU" "CPU","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","CPU" "CPU","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","CPU" @@ -8667,12 +8945,19 @@ "CPU","ROUND","type=f16,ne=[10,2,2,2]","support","1","yes","CPU" "CPU","TRUNC","type=f16,ne=[10,2,2,2]","support","1","yes","CPU" "CPU","SQR","type=f16,ne=[7,1,5,3]","support","1","yes","CPU" +"CPU","SQR","type=f16,ne=[1024,1024,1,1]","support","1","yes","CPU" "CPU","SQRT","type=f16,ne=[7,1,5,3]","support","1","yes","CPU" +"CPU","SQRT","type=f16,ne=[1024,1024,1,1]","support","1","yes","CPU" "CPU","LOG","type=f16,ne=[7,1,5,3]","support","1","yes","CPU" +"CPU","LOG","type=f16,ne=[1024,1024,1,1]","support","1","yes","CPU" "CPU","SIN","type=f16,ne=[7,1,5,3]","support","1","yes","CPU" +"CPU","SIN","type=f16,ne=[1024,1024,1,1]","support","1","yes","CPU" "CPU","COS","type=f16,ne=[7,1,5,3]","support","1","yes","CPU" +"CPU","COS","type=f16,ne=[1024,1024,1,1]","support","1","yes","CPU" "CPU","CLAMP","type=f16,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","1","yes","CPU" +"CPU","CLAMP","type=f16,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","1","yes","CPU" "CPU","LEAKY_RELU","type=f16,ne_a=[7,1,5,3],negative_slope=0.100000","support","1","yes","CPU" +"CPU","LEAKY_RELU","type=f16,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","1","yes","CPU" "CPU","FLOOR","type=f16,ne=[7,1,5,3]","support","1","yes","CPU" "CPU","FLOOR","type=f16,ne=[1024,1024,1,1]","support","1","yes","CPU" "CPU","CEIL","type=f16,ne=[7,1,5,3]","support","1","yes","CPU" @@ -8693,12 +8978,19 @@ "CPU","ROUND","type=f32,ne=[10,2,2,2]","support","1","yes","CPU" "CPU","TRUNC","type=f32,ne=[10,2,2,2]","support","1","yes","CPU" "CPU","SQR","type=f32,ne=[7,1,5,3]","support","1","yes","CPU" +"CPU","SQR","type=f32,ne=[1024,1024,1,1]","support","1","yes","CPU" "CPU","SQRT","type=f32,ne=[7,1,5,3]","support","1","yes","CPU" +"CPU","SQRT","type=f32,ne=[1024,1024,1,1]","support","1","yes","CPU" "CPU","LOG","type=f32,ne=[7,1,5,3]","support","1","yes","CPU" +"CPU","LOG","type=f32,ne=[1024,1024,1,1]","support","1","yes","CPU" "CPU","SIN","type=f32,ne=[7,1,5,3]","support","1","yes","CPU" +"CPU","SIN","type=f32,ne=[1024,1024,1,1]","support","1","yes","CPU" "CPU","COS","type=f32,ne=[7,1,5,3]","support","1","yes","CPU" +"CPU","COS","type=f32,ne=[1024,1024,1,1]","support","1","yes","CPU" "CPU","CLAMP","type=f32,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","1","yes","CPU" +"CPU","CLAMP","type=f32,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","1","yes","CPU" "CPU","LEAKY_RELU","type=f32,ne_a=[7,1,5,3],negative_slope=0.100000","support","1","yes","CPU" +"CPU","LEAKY_RELU","type=f32,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","1","yes","CPU" "CPU","FLOOR","type=f32,ne=[7,1,5,3]","support","1","yes","CPU" "CPU","FLOOR","type=f32,ne=[1024,1024,1,1]","support","1","yes","CPU" "CPU","CEIL","type=f32,ne=[7,1,5,3]","support","1","yes","CPU" @@ -8917,6 +9209,11 @@ "CPU","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","CPU" "CPU","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","CPU" "CPU","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","CPU" +"CPU","SOFT_MAX","type=f32,ne=[200001,2,3,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","CPU" +"CPU","SOFT_MAX","type=f32,ne=[200001,2,3,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","CPU" +"CPU","SOFT_MAX","type=f32,ne=[200000,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","CPU" +"CPU","SOFT_MAX","type=f32,ne=[200000,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","CPU" +"CPU","SOFT_MAX","type=f32,ne=[643251,3,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","CPU" "CPU","SOFT_MAX_BACK","type=f32,ne=[16,16,1,1],scale=1.000000,max_bias=0.000000","support","1","yes","CPU" "CPU","SOFT_MAX_BACK","type=f32,ne=[15,15,1,1],scale=1.000000,max_bias=0.000000","support","1","yes","CPU" "CPU","SOFT_MAX_BACK","type=f32,ne=[16,16,2,3],scale=1.000000,max_bias=0.000000","support","1","yes","CPU" @@ -8969,6 +9266,7 @@ "CPU","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" +"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" @@ -8978,6 +9276,7 @@ "CPU","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" +"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" @@ -8988,11 +9287,13 @@ "CPU","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" +"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" +"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" @@ -9002,6 +9303,7 @@ "CPU","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" +"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" @@ -9012,11 +9314,13 @@ "CPU","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" +"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" +"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" @@ -9026,6 +9330,7 @@ "CPU","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" +"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" @@ -9036,11 +9341,13 @@ "CPU","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" +"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" +"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" @@ -9050,6 +9357,7 @@ "CPU","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" +"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" @@ -9060,6 +9368,7 @@ "CPU","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" +"CPU","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" @@ -9185,6 +9494,7 @@ "CPU","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" +"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" @@ -9194,6 +9504,7 @@ "CPU","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" +"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" @@ -9204,11 +9515,13 @@ "CPU","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" +"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" +"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" @@ -9218,6 +9531,7 @@ "CPU","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" +"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" @@ -9228,11 +9542,13 @@ "CPU","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" +"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" +"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" @@ -9242,6 +9558,7 @@ "CPU","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" +"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" @@ -9252,11 +9569,13 @@ "CPU","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" +"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" +"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" @@ -9266,6 +9585,7 @@ "CPU","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" +"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" @@ -9276,6 +9596,7 @@ "CPU","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" +"CPU","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" "CPU","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","CPU" @@ -9398,25 +9719,65 @@ "CPU","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","CPU" 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-"CPU","ACC","type=f32,ne_a=[256,17,1,1],ne_b=[256,16,1,1]","support","1","yes","CPU" +"CPU","ACC","type=f32,ne_a=[256,17,1,1],ne_b=[256,16,1,1],stride_dim=-1","support","1","yes","CPU" +"CPU","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[256,16,2,3],stride_dim=-1","support","1","yes","CPU" +"CPU","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[128,16,2,3],stride_dim=-1","support","1","yes","CPU" +"CPU","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[256,16,2,3],stride_dim=1","support","1","yes","CPU" +"CPU","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[128,16,2,3],stride_dim=2","support","1","yes","CPU" +"CPU","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[64,16,2,3],stride_dim=3","support","1","yes","CPU" "CPU","PAD","type=f32,ne_a=[512,512,1,1],pad_0=1,pad_1=1,circular=0","support","1","yes","CPU" "CPU","PAD","type=f32,ne_a=[33,17,2,1],pad_0=4,pad_1=3,circular=1","support","1","yes","CPU" -"CPU","PAD","type=f32,ne_a=[512,512,3,1],lp0=1,rp0=1,lp1=1,rp1=1,lp2=1,rp2=1,lp3=1,rp3=1,v=0,circular=0","support","1","yes","CPU" +"CPU","PAD","type=f32,ne_a=[512,512,3,1],lp0=1,rp0=1,lp1=1,rp1=1,lp2=1,rp2=1,lp3=1,rp3=1,tfrm=0,circular=0","support","1","yes","CPU" "CPU","PAD_REFLECT_1D","type=f32,ne_a=[512,34,2,1],pad_0=10,pad_1=9","support","1","yes","CPU" "CPU","PAD_REFLECT_1D","type=f32,ne_a=[3000,384,4,1],pad_0=10,pad_1=9","support","1","yes","CPU" "CPU","ROLL","shift0=3,shift1=-2,shift3=1,shift4=-1","support","1","yes","CPU" @@ -9916,6 +10288,7 @@ "CPU","CUMSUM","type=f32,ne=[2048,5,4,3]","support","1","yes","CPU" "CPU","CUMSUM","type=f32,ne=[242004,1,1,1]","support","1","yes","CPU" "CPU","CUMSUM","type=f32,ne=[375960,1,1,1]","support","1","yes","CPU" +"CPU","CUMSUM","type=f32,ne=[20481,4,1,1]","support","1","yes","CPU" "CPU","XIELU","type=f32,ne=[10,5,4,3]","support","1","yes","CPU" "CPU","TRI","type=f32,ne=[10,10,4,3],tri_type=3","support","1","yes","CPU" "CPU","TRI","type=f32,ne=[10,10,4,3],tri_type=2","support","1","yes","CPU" @@ -9934,1137 +10307,260 @@ "CPU","SOLVE_TRI","type=f32,ne_lhs=[30,30,7,1],ne_rhs=[8,30,7,1]","support","1","yes","CPU" "CPU","SOLVE_TRI","type=f32,ne_lhs=[42,42,5,2],ne_rhs=[10,42,5,2]","support","1","yes","CPU" "CPU","SOLVE_TRI","type=f32,ne_lhs=[64,64,2,2],ne_rhs=[10,64,2,2]","support","1","yes","CPU" +"CPU","SOLVE_TRI","type=f32,ne_lhs=[64,64,2,2],ne_rhs=[64,64,2,2]","support","1","yes","CPU" +"CPU","SOLVE_TRI","type=f32,ne_lhs=[79,79,5,3],ne_rhs=[417,79,5,3]","support","1","yes","CPU" +"CPU","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,2],ne_rhs=[32,128,4,2]","support","1","yes","CPU" +"CPU","SOLVE_TRI","type=f32,ne_lhs=[80,80,2,8],ne_rhs=[80,80,2,8]","support","1","yes","CPU" +"CPU","SOLVE_TRI","type=f32,ne_lhs=[80,80,2,8],ne_rhs=[79,80,2,8]","support","1","yes","CPU" +"CPU","SOLVE_TRI","type=f32,ne_lhs=[80,80,2,8],ne_rhs=[81,80,2,8]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11115,16 +10611,16 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11140,11 +10636,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11175,16 +10671,16 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11295,16 +10791,16 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11320,11 +10816,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" 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+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11340,11 +10836,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" 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+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11380,11 +10876,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11400,11 +10896,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11420,11 +10916,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11440,11 +10936,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11480,11 +10976,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11515,16 +11011,16 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11540,11 +11036,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" 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+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11575,16 +11071,16 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11660,11 +11156,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11695,16 +11191,16 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","CPU" 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+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11720,11 +11216,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" 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+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11740,11 +11236,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11760,11 +11256,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11780,11 +11276,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11800,11 +11296,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11820,11 +11316,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11840,11 +11336,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11860,11 +11356,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11880,11 +11376,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11900,11 +11396,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11920,11 +11416,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11940,11 +11436,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11960,11 +11456,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -11980,11 +11476,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12000,11 +11496,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12020,11 +11516,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12040,11 +11536,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12060,11 +11556,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12080,11 +11576,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12100,11 +11596,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12120,11 +11616,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12140,11 +11636,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" 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+"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12160,11 +11656,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12180,11 +11676,11 @@ "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12200,11 +11696,11 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12235,16 +11731,16 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12295,16 +11791,16 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12320,11 +11816,11 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12340,11 +11836,11 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12360,11 +11856,11 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12380,11 +11876,11 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12400,11 +11896,11 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12435,16 +11931,16 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12460,11 +11956,11 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" 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+"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12495,16 +11991,16 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12540,11 +12036,11 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12560,11 +12056,11 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12580,11 +12076,11 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12600,11 +12096,11 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12620,11 +12116,11 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12640,11 +12136,11 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12660,11 +12156,11 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12680,11 +12176,11 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12700,11 +12196,11 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" 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"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" @@ -12740,6014 +12236,1371 @@ "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" 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-"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","CPU" -"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","CPU" +"CPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","CPU" "CPU","CROSS_ENTROPY_LOSS","type=f32,ne=[10,5,4,3]","support","1","yes","CPU" "CPU","CROSS_ENTROPY_LOSS","type=f32,ne=[30000,1,1,1]","support","1","yes","CPU" "CPU","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[10,5,4,3]","support","1","yes","CPU" "CPU","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[30000,1,1,1]","support","1","yes","CPU" "CPU","OPT_STEP_ADAMW","type=f32,ne=[10,5,4,3]","support","1","yes","CPU" "CPU","OPT_STEP_SGD","type=f32,ne=[10,5,4,3]","support","1","yes","CPU" +"CPU","GATED_DELTA_NET","type=f32,head_count=32,head_size=128,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","1","yes","CPU" +"CPU","GATED_DELTA_NET","type=f32,head_count=16,head_size=64,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=0","support","1","yes","CPU" +"CPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","1","yes","CPU" +"CPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=0,kda=0","support","1","yes","CPU" +"CPU","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=0","support","1","yes","CPU" +"CPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=0","support","1","yes","CPU" +"CPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=1,kda=0","support","1","yes","CPU" +"CPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","1","yes","CPU" +"CPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","1","yes","CPU" +"CPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=32,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","1","yes","CPU" +"CPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","1","yes","CPU" +"CPU","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=1","support","1","yes","CPU" +"CPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=1","support","1","yes","CPU" diff --git a/docs/ops/Metal.csv b/docs/ops/Metal.csv index 02fd75fdbf..a7ed228f7a 100644 --- a/docs/ops/Metal.csv +++ b/docs/ops/Metal.csv @@ -1,18780 +1,13877 @@ "backend_name","op_name","op_params","test_mode","supported","error_message","backend_reg_name" -"Metal","ABS","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","ABS","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","SGN","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","SGN","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","NEG","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","NEG","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","STEP","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","STEP","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","TANH","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","TANH","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","ELU","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","ELU","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","RELU","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","RELU","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","SIGMOID","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","SIGMOID","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","GELU","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","GELU","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","GELU_QUICK","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","GELU_QUICK","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","SILU","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","SILU","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","HARDSWISH","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","HARDSWISH","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","HARDSIGMOID","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","HARDSIGMOID","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","EXP","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","EXP","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","EXPM1","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","EXPM1","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","SOFTPLUS","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","SOFTPLUS","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","GELU_ERF","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","GELU_ERF","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","FLOOR","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","FLOOR","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","CEIL","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","CEIL","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","ROUND","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","ROUND","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","TRUNC","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","TRUNC","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","ABS","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","ABS","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","SGN","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","SGN","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","NEG","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","NEG","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","STEP","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","STEP","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","TANH","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","TANH","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","ELU","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","ELU","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","RELU","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","RELU","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","SIGMOID","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","SIGMOID","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","GELU","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","GELU","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","GELU_QUICK","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","GELU_QUICK","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","SILU","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","SILU","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","HARDSWISH","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","HARDSWISH","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","HARDSIGMOID","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","HARDSIGMOID","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","EXP","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","EXP","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","EXPM1","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","EXPM1","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","SOFTPLUS","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","SOFTPLUS","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","GELU_ERF","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","GELU_ERF","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","FLOOR","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","FLOOR","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","CEIL","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","CEIL","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","ROUND","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","ROUND","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","TRUNC","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","TRUNC","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","ABS","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal" -"Metal","ABS","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal" -"Metal","SGN","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal" -"Metal","SGN","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal" -"Metal","NEG","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal" -"Metal","NEG","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal" -"Metal","STEP","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal" -"Metal","STEP","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal" -"Metal","TANH","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal" -"Metal","TANH","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal" -"Metal","ELU","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal" -"Metal","ELU","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal" -"Metal","RELU","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal" -"Metal","RELU","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal" -"Metal","SIGMOID","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal" -"Metal","SIGMOID","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal" -"Metal","GELU","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal" -"Metal","GELU","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal" -"Metal","GELU_QUICK","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal" -"Metal","GELU_QUICK","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal" -"Metal","SILU","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal" -"Metal","SILU","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal" -"Metal","HARDSWISH","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal" -"Metal","HARDSWISH","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal" -"Metal","HARDSIGMOID","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal" -"Metal","HARDSIGMOID","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal" -"Metal","EXP","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal" -"Metal","EXP","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal" -"Metal","EXPM1","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal" -"Metal","EXPM1","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal" -"Metal","SOFTPLUS","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal" -"Metal","SOFTPLUS","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal" -"Metal","GELU_ERF","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Metal" -"Metal","GELU_ERF","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Metal" -"Metal","FLOOR","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","FLOOR","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","CEIL","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","CEIL","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","ROUND","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","ROUND","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","TRUNC","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","Metal" -"Metal","TRUNC","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","Metal" -"Metal","ABS","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","ABS","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","SGN","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","SGN","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","NEG","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","NEG","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","STEP","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","STEP","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","TANH","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","TANH","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","ELU","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","ELU","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","RELU","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","RELU","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","SIGMOID","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","SIGMOID","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","GELU","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","GELU","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","GELU_QUICK","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","GELU_QUICK","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","SILU","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","SILU","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","HARDSWISH","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","HARDSWISH","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","HARDSIGMOID","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","HARDSIGMOID","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","EXP","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","EXP","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","EXPM1","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","EXPM1","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","SOFTPLUS","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","SOFTPLUS","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","GELU_ERF","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","GELU_ERF","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","FLOOR","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","FLOOR","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","CEIL","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","CEIL","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","ROUND","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","ROUND","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","TRUNC","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","Metal" -"Metal","TRUNC","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","Metal" -"Metal","REGLU","type=f16,ne_a=[128,2,2,2],v=0,swapped=0","support","0","no","Metal" -"Metal","REGLU","type=f16,ne_a=[5,7,11,13],v=0,swapped=0","support","0","no","Metal" -"Metal","REGLU","type=f16,ne_a=[128,2,2,2],v=0,swapped=1","support","0","no","Metal" -"Metal","REGLU","type=f16,ne_a=[5,7,11,13],v=0,swapped=1","support","0","no","Metal" -"Metal","REGLU","type=f16,ne_a=[128,2,2,2],v=0,split","support","0","no","Metal" -"Metal","REGLU","type=f16,ne_a=[5,7,11,13],v=0,split","support","0","no","Metal" -"Metal","GEGLU","type=f16,ne_a=[128,2,2,2],v=0,swapped=0","support","0","no","Metal" -"Metal","GEGLU","type=f16,ne_a=[5,7,11,13],v=0,swapped=0","support","0","no","Metal" -"Metal","GEGLU","type=f16,ne_a=[128,2,2,2],v=0,swapped=1","support","0","no","Metal" -"Metal","GEGLU","type=f16,ne_a=[5,7,11,13],v=0,swapped=1","support","0","no","Metal" -"Metal","GEGLU","type=f16,ne_a=[128,2,2,2],v=0,split","support","0","no","Metal" -"Metal","GEGLU","type=f16,ne_a=[5,7,11,13],v=0,split","support","0","no","Metal" -"Metal","SWIGLU","type=f16,ne_a=[128,2,2,2],v=0,swapped=0","support","0","no","Metal" -"Metal","SWIGLU","type=f16,ne_a=[5,7,11,13],v=0,swapped=0","support","0","no","Metal" -"Metal","SWIGLU","type=f16,ne_a=[128,2,2,2],v=0,swapped=1","support","0","no","Metal" -"Metal","SWIGLU","type=f16,ne_a=[5,7,11,13],v=0,swapped=1","support","0","no","Metal" -"Metal","SWIGLU","type=f16,ne_a=[128,2,2,2],v=0,split","support","0","no","Metal" -"Metal","SWIGLU","type=f16,ne_a=[5,7,11,13],v=0,split","support","0","no","Metal" -"Metal","GEGLU_ERF","type=f16,ne_a=[128,2,2,2],v=0,swapped=0","support","0","no","Metal" -"Metal","GEGLU_ERF","type=f16,ne_a=[5,7,11,13],v=0,swapped=0","support","0","no","Metal" -"Metal","GEGLU_ERF","type=f16,ne_a=[128,2,2,2],v=0,swapped=1","support","0","no","Metal" -"Metal","GEGLU_ERF","type=f16,ne_a=[5,7,11,13],v=0,swapped=1","support","0","no","Metal" -"Metal","GEGLU_ERF","type=f16,ne_a=[128,2,2,2],v=0,split","support","0","no","Metal" -"Metal","GEGLU_ERF","type=f16,ne_a=[5,7,11,13],v=0,split","support","0","no","Metal" -"Metal","GEGLU_QUICK","type=f16,ne_a=[128,2,2,2],v=0,swapped=0","support","0","no","Metal" -"Metal","GEGLU_QUICK","type=f16,ne_a=[5,7,11,13],v=0,swapped=0","support","0","no","Metal" -"Metal","GEGLU_QUICK","type=f16,ne_a=[128,2,2,2],v=0,swapped=1","support","0","no","Metal" -"Metal","GEGLU_QUICK","type=f16,ne_a=[5,7,11,13],v=0,swapped=1","support","0","no","Metal" -"Metal","GEGLU_QUICK","type=f16,ne_a=[128,2,2,2],v=0,split","support","0","no","Metal" -"Metal","GEGLU_QUICK","type=f16,ne_a=[5,7,11,13],v=0,split","support","0","no","Metal" -"Metal","REGLU","type=f16,ne_a=[128,2,2,2],v=1,swapped=0","support","0","no","Metal" -"Metal","REGLU","type=f16,ne_a=[5,7,11,13],v=1,swapped=0","support","0","no","Metal" -"Metal","REGLU","type=f16,ne_a=[128,2,2,2],v=1,swapped=1","support","0","no","Metal" -"Metal","REGLU","type=f16,ne_a=[5,7,11,13],v=1,swapped=1","support","0","no","Metal" -"Metal","REGLU","type=f16,ne_a=[128,2,2,2],v=1,split","support","0","no","Metal" -"Metal","REGLU","type=f16,ne_a=[5,7,11,13],v=1,split","support","0","no","Metal" -"Metal","GEGLU","type=f16,ne_a=[128,2,2,2],v=1,swapped=0","support","0","no","Metal" -"Metal","GEGLU","type=f16,ne_a=[5,7,11,13],v=1,swapped=0","support","0","no","Metal" -"Metal","GEGLU","type=f16,ne_a=[128,2,2,2],v=1,swapped=1","support","0","no","Metal" -"Metal","GEGLU","type=f16,ne_a=[5,7,11,13],v=1,swapped=1","support","0","no","Metal" -"Metal","GEGLU","type=f16,ne_a=[128,2,2,2],v=1,split","support","0","no","Metal" -"Metal","GEGLU","type=f16,ne_a=[5,7,11,13],v=1,split","support","0","no","Metal" -"Metal","SWIGLU","type=f16,ne_a=[128,2,2,2],v=1,swapped=0","support","0","no","Metal" -"Metal","SWIGLU","type=f16,ne_a=[5,7,11,13],v=1,swapped=0","support","0","no","Metal" -"Metal","SWIGLU","type=f16,ne_a=[128,2,2,2],v=1,swapped=1","support","0","no","Metal" -"Metal","SWIGLU","type=f16,ne_a=[5,7,11,13],v=1,swapped=1","support","0","no","Metal" -"Metal","SWIGLU","type=f16,ne_a=[128,2,2,2],v=1,split","support","0","no","Metal" -"Metal","SWIGLU","type=f16,ne_a=[5,7,11,13],v=1,split","support","0","no","Metal" -"Metal","GEGLU_ERF","type=f16,ne_a=[128,2,2,2],v=1,swapped=0","support","0","no","Metal" -"Metal","GEGLU_ERF","type=f16,ne_a=[5,7,11,13],v=1,swapped=0","support","0","no","Metal" -"Metal","GEGLU_ERF","type=f16,ne_a=[128,2,2,2],v=1,swapped=1","support","0","no","Metal" -"Metal","GEGLU_ERF","type=f16,ne_a=[5,7,11,13],v=1,swapped=1","support","0","no","Metal" -"Metal","GEGLU_ERF","type=f16,ne_a=[128,2,2,2],v=1,split","support","0","no","Metal" -"Metal","GEGLU_ERF","type=f16,ne_a=[5,7,11,13],v=1,split","support","0","no","Metal" -"Metal","GEGLU_QUICK","type=f16,ne_a=[128,2,2,2],v=1,swapped=0","support","0","no","Metal" -"Metal","GEGLU_QUICK","type=f16,ne_a=[5,7,11,13],v=1,swapped=0","support","0","no","Metal" -"Metal","GEGLU_QUICK","type=f16,ne_a=[128,2,2,2],v=1,swapped=1","support","0","no","Metal" -"Metal","GEGLU_QUICK","type=f16,ne_a=[5,7,11,13],v=1,swapped=1","support","0","no","Metal" -"Metal","GEGLU_QUICK","type=f16,ne_a=[128,2,2,2],v=1,split","support","0","no","Metal" -"Metal","GEGLU_QUICK","type=f16,ne_a=[5,7,11,13],v=1,split","support","0","no","Metal" -"Metal","REGLU","type=f32,ne_a=[128,2,2,2],v=0,swapped=0","support","1","yes","Metal" -"Metal","REGLU","type=f32,ne_a=[5,7,11,13],v=0,swapped=0","support","1","yes","Metal" -"Metal","REGLU","type=f32,ne_a=[128,2,2,2],v=0,swapped=1","support","1","yes","Metal" -"Metal","REGLU","type=f32,ne_a=[5,7,11,13],v=0,swapped=1","support","1","yes","Metal" -"Metal","REGLU","type=f32,ne_a=[128,2,2,2],v=0,split","support","1","yes","Metal" -"Metal","REGLU","type=f32,ne_a=[5,7,11,13],v=0,split","support","1","yes","Metal" -"Metal","GEGLU","type=f32,ne_a=[128,2,2,2],v=0,swapped=0","support","1","yes","Metal" -"Metal","GEGLU","type=f32,ne_a=[5,7,11,13],v=0,swapped=0","support","1","yes","Metal" -"Metal","GEGLU","type=f32,ne_a=[128,2,2,2],v=0,swapped=1","support","1","yes","Metal" -"Metal","GEGLU","type=f32,ne_a=[5,7,11,13],v=0,swapped=1","support","1","yes","Metal" -"Metal","GEGLU","type=f32,ne_a=[128,2,2,2],v=0,split","support","1","yes","Metal" -"Metal","GEGLU","type=f32,ne_a=[5,7,11,13],v=0,split","support","1","yes","Metal" -"Metal","SWIGLU","type=f32,ne_a=[128,2,2,2],v=0,swapped=0","support","1","yes","Metal" -"Metal","SWIGLU","type=f32,ne_a=[5,7,11,13],v=0,swapped=0","support","1","yes","Metal" -"Metal","SWIGLU","type=f32,ne_a=[128,2,2,2],v=0,swapped=1","support","1","yes","Metal" -"Metal","SWIGLU","type=f32,ne_a=[5,7,11,13],v=0,swapped=1","support","1","yes","Metal" -"Metal","SWIGLU","type=f32,ne_a=[128,2,2,2],v=0,split","support","1","yes","Metal" -"Metal","SWIGLU","type=f32,ne_a=[5,7,11,13],v=0,split","support","1","yes","Metal" -"Metal","GEGLU_ERF","type=f32,ne_a=[128,2,2,2],v=0,swapped=0","support","1","yes","Metal" -"Metal","GEGLU_ERF","type=f32,ne_a=[5,7,11,13],v=0,swapped=0","support","1","yes","Metal" -"Metal","GEGLU_ERF","type=f32,ne_a=[128,2,2,2],v=0,swapped=1","support","1","yes","Metal" -"Metal","GEGLU_ERF","type=f32,ne_a=[5,7,11,13],v=0,swapped=1","support","1","yes","Metal" -"Metal","GEGLU_ERF","type=f32,ne_a=[128,2,2,2],v=0,split","support","1","yes","Metal" -"Metal","GEGLU_ERF","type=f32,ne_a=[5,7,11,13],v=0,split","support","1","yes","Metal" -"Metal","GEGLU_QUICK","type=f32,ne_a=[128,2,2,2],v=0,swapped=0","support","1","yes","Metal" -"Metal","GEGLU_QUICK","type=f32,ne_a=[5,7,11,13],v=0,swapped=0","support","1","yes","Metal" -"Metal","GEGLU_QUICK","type=f32,ne_a=[128,2,2,2],v=0,swapped=1","support","1","yes","Metal" -"Metal","GEGLU_QUICK","type=f32,ne_a=[5,7,11,13],v=0,swapped=1","support","1","yes","Metal" -"Metal","GEGLU_QUICK","type=f32,ne_a=[128,2,2,2],v=0,split","support","1","yes","Metal" -"Metal","GEGLU_QUICK","type=f32,ne_a=[5,7,11,13],v=0,split","support","1","yes","Metal" -"Metal","REGLU","type=f32,ne_a=[128,2,2,2],v=1,swapped=0","support","1","yes","Metal" -"Metal","REGLU","type=f32,ne_a=[5,7,11,13],v=1,swapped=0","support","1","yes","Metal" -"Metal","REGLU","type=f32,ne_a=[128,2,2,2],v=1,swapped=1","support","1","yes","Metal" -"Metal","REGLU","type=f32,ne_a=[5,7,11,13],v=1,swapped=1","support","1","yes","Metal" -"Metal","REGLU","type=f32,ne_a=[128,2,2,2],v=1,split","support","1","yes","Metal" -"Metal","REGLU","type=f32,ne_a=[5,7,11,13],v=1,split","support","1","yes","Metal" -"Metal","GEGLU","type=f32,ne_a=[128,2,2,2],v=1,swapped=0","support","1","yes","Metal" -"Metal","GEGLU","type=f32,ne_a=[5,7,11,13],v=1,swapped=0","support","1","yes","Metal" -"Metal","GEGLU","type=f32,ne_a=[128,2,2,2],v=1,swapped=1","support","1","yes","Metal" -"Metal","GEGLU","type=f32,ne_a=[5,7,11,13],v=1,swapped=1","support","1","yes","Metal" -"Metal","GEGLU","type=f32,ne_a=[128,2,2,2],v=1,split","support","1","yes","Metal" -"Metal","GEGLU","type=f32,ne_a=[5,7,11,13],v=1,split","support","1","yes","Metal" -"Metal","SWIGLU","type=f32,ne_a=[128,2,2,2],v=1,swapped=0","support","1","yes","Metal" -"Metal","SWIGLU","type=f32,ne_a=[5,7,11,13],v=1,swapped=0","support","1","yes","Metal" -"Metal","SWIGLU","type=f32,ne_a=[128,2,2,2],v=1,swapped=1","support","1","yes","Metal" -"Metal","SWIGLU","type=f32,ne_a=[5,7,11,13],v=1,swapped=1","support","1","yes","Metal" -"Metal","SWIGLU","type=f32,ne_a=[128,2,2,2],v=1,split","support","1","yes","Metal" -"Metal","SWIGLU","type=f32,ne_a=[5,7,11,13],v=1,split","support","1","yes","Metal" -"Metal","GEGLU_ERF","type=f32,ne_a=[128,2,2,2],v=1,swapped=0","support","1","yes","Metal" -"Metal","GEGLU_ERF","type=f32,ne_a=[5,7,11,13],v=1,swapped=0","support","1","yes","Metal" -"Metal","GEGLU_ERF","type=f32,ne_a=[128,2,2,2],v=1,swapped=1","support","1","yes","Metal" -"Metal","GEGLU_ERF","type=f32,ne_a=[5,7,11,13],v=1,swapped=1","support","1","yes","Metal" -"Metal","GEGLU_ERF","type=f32,ne_a=[128,2,2,2],v=1,split","support","1","yes","Metal" -"Metal","GEGLU_ERF","type=f32,ne_a=[5,7,11,13],v=1,split","support","1","yes","Metal" -"Metal","GEGLU_QUICK","type=f32,ne_a=[128,2,2,2],v=1,swapped=0","support","1","yes","Metal" -"Metal","GEGLU_QUICK","type=f32,ne_a=[5,7,11,13],v=1,swapped=0","support","1","yes","Metal" -"Metal","GEGLU_QUICK","type=f32,ne_a=[128,2,2,2],v=1,swapped=1","support","1","yes","Metal" -"Metal","GEGLU_QUICK","type=f32,ne_a=[5,7,11,13],v=1,swapped=1","support","1","yes","Metal" -"Metal","GEGLU_QUICK","type=f32,ne_a=[128,2,2,2],v=1,split","support","1","yes","Metal" -"Metal","GEGLU_QUICK","type=f32,ne_a=[5,7,11,13],v=1,split","support","1","yes","Metal" -"Metal","SWIGLU_OAI","type=f32,ne_a=[128,2,2,2],v=0,alpha=0.500000,limit=2.000000","support","1","yes","Metal" -"Metal","SWIGLU_OAI","type=f32,ne_a=[128,2,2,2],v=0,alpha=0.500000,limit=7.000000","support","1","yes","Metal" -"Metal","SWIGLU_OAI","type=f32,ne_a=[128,2,2,2],v=0,alpha=1.702000,limit=2.000000","support","1","yes","Metal" -"Metal","SWIGLU_OAI","type=f32,ne_a=[128,2,2,2],v=0,alpha=1.702000,limit=7.000000","support","1","yes","Metal" -"Metal","SWIGLU_OAI","type=f32,ne_a=[128,2,2,2],v=1,alpha=0.500000,limit=2.000000","support","1","yes","Metal" -"Metal","SWIGLU_OAI","type=f32,ne_a=[128,2,2,2],v=1,alpha=0.500000,limit=7.000000","support","1","yes","Metal" -"Metal","SWIGLU_OAI","type=f32,ne_a=[128,2,2,2],v=1,alpha=1.702000,limit=2.000000","support","1","yes","Metal" -"Metal","SWIGLU_OAI","type=f32,ne_a=[128,2,2,2],v=1,alpha=1.702000,limit=7.000000","support","1","yes","Metal" -"Metal","GET_ROWS","type=f32,n=76800,m=5,r=4,be1=1,be2=2,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=f32,n=256,m=80000,r=70000,be1=2,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=f32,n=256,m=5,r=4,be1=700,be2=100,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q4_0,n=76800,m=5,r=4,be1=1,be2=2,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q4_0,n=256,m=80000,r=70000,be1=2,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q4_0,n=256,m=5,r=4,be1=700,be2=100,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=f32,n=1,m=8,r=2,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=f32,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=f32,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=f32,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=f32,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=f16,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=f16,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=f16,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=f16,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q4_0,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q4_0,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q4_0,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q4_0,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q4_1,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q4_1,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q4_1,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q4_1,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q5_0,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q5_0,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q5_0,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q5_0,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q5_1,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q5_1,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q5_1,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q5_1,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q3_K,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q3_K,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q3_K,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q3_K,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q4_K,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q4_K,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q4_K,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q4_K,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q5_K,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q5_K,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q5_K,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q5_K,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q6_K,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q6_K,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=q6_K,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=q6_K,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq2_xxs,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq2_xxs,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq2_xxs,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq2_xxs,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq2_xs,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq2_xs,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq2_xs,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq2_xs,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq2_s,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq2_s,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq2_s,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq2_s,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq3_xxs,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq3_xxs,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq3_xxs,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq3_xxs,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq1_s,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq1_s,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq1_s,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq1_s,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq1_m,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq1_m,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq1_m,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq1_m,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq4_nl,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq4_nl,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq4_nl,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq4_nl,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq3_s,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq3_s,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq3_s,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Metal" -"Metal","GET_ROWS","type=iq3_s,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Metal" 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-"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=2,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=avg,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=1,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=1,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=1,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=1,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=2,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=2,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=2,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=1,s1=2,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=1,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=1,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=1,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=1,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=2,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=2,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=2,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=1,s0=2,s1=2,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=1,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=1,s1=2,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=1,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=1,k1=3,s0=2,s1=2,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=1,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=1,s1=2,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=1,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=1,s0=2,s1=2,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=1,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=1,s1=2,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=1,p0=1,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=0,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=0,p1=1","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=0","support","1","yes","Metal" -"Metal","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=1,s1=0,p0=0,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=1,s1=0,p0=0,p1=0,d0=3,d1=0,is_2D=0","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=1,s1=0,p0=3,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=1,s1=0,p0=3,p1=0,d0=3,d1=0,is_2D=0","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=3,s1=0,p0=0,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=3,s1=0,p0=0,p1=0,d0=3,d1=0,is_2D=0","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=3,s1=0,p0=3,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=3,s1=0,p0=3,p1=0,d0=3,d1=0,is_2D=0","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[10,10,3,1],ne_kernel=[3,3,3,1],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[10,10,3,1],ne_kernel=[3,3,3,1],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[10,10,3,1],ne_kernel=[3,3,3,1],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=0,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=0,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=0,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=0,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=0,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=0,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=0,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=3,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=3,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=3,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=3,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=3,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=3,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=3,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=1,p0=3,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=0,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=0,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=0,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=0,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=0,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=0,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=0,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=1,s1=3,p0=3,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=0,d0=1,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=0,d0=3,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=0,d0=3,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=3,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=3,d0=1,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=3,d0=3,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=3,p1=3,d0=3,d1=3,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,1,32],ne_kernel=[3,3,1,32],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,32],ne_kernel=[3,3,2,32],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,1,1024],ne_kernel=[3,3,1,1024],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,1024],ne_kernel=[3,3,2,1024],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,1,2048],ne_kernel=[3,3,1,2048],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,2048],ne_kernel=[3,3,2,2048],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,1,2560],ne_kernel=[3,3,1,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,2560],ne_kernel=[3,3,2,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[5,5,1,32],ne_kernel=[3,4,1,32],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[2,2,1536,729],ne_kernel=[2,2,1536,4096],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=1,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=1,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=1,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=0,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=0,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=0,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=1,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=1,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=1,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=1,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=0","support","0","no","Metal" -"Metal","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,10,3],ne_kernel=[3,3,3,3],IC=3,s0=3,s1=3,s2=3,p0=3,p1=3,p2=3,d0=3,d1=3,d2=3,v=1","support","0","no","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","Metal" -"Metal","CONV_2D_DW","ne_input=[17,34,9,1],ne_kernel=[3,3,1,9],stride=1,padding=0,dilation=1,cwhn=0","support","0","no","Metal" -"Metal","CONV_2D_DW","ne_input=[17,34,9,1],ne_kernel=[3,3,1,9],stride=1,padding=0,dilation=1,cwhn=1","support","0","no","Metal" -"Metal","CONV_2D_DW","ne_input=[32,8,64,1],ne_kernel=[3,3,1,64],stride=2,padding=1,dilation=1,cwhn=0","support","0","no","Metal" -"Metal","CONV_2D_DW","ne_input=[32,8,64,1],ne_kernel=[3,3,1,64],stride=2,padding=1,dilation=1,cwhn=1","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=4,ID=8,IH=8,IW=8,OC=8,KD=1,KH=1,KW=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_3D","N=1,IC=4,ID=8,IH=8,IW=8,OC=8,KD=1,KH=1,KW=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,1,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,1,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1,1,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1,1,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1,1,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1,1,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[3,1,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[3,1,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[3,1,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[3,1,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1337,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1337,1,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1337,1,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1337,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1337,1,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1337,1,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1337,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1337,1,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1337,1,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1,1,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1,1,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1,1,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,1,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,1,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,1,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,1,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,1,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,1,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,1,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,1,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,1,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,1,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,1,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,1,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[3,1,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[3,1,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[3,1,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1337,1,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1337,1,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1337,1,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1337,1,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1337,1,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1337,1,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1337,1,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1337,1,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1337,1,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,9,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,9,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,9,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1,9,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1,9,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1,9,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1,9,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1,9,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1,9,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[3,9,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[3,9,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[3,9,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,9,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,9,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,9,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[3,9,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[3,9,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[3,9,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1337,9,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1337,9,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1337,9,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1337,9,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1337,9,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1337,9,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1337,9,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1337,9,1,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1337,9,1,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1,9,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1,9,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1,9,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,9,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,9,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,9,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,9,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,9,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,9,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,9,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,9,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,9,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,9,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,9,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,9,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[3,9,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[3,9,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[3,9,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1337,9,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1337,9,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1337,9,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1337,9,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1337,9,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1337,9,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1337,9,7,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1337,9,7,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1337,9,7,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[197,32,1,1],ne_kernel=[16,32,32,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[2,3,2,1],s0=3,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[2,3,2,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[2,3,2,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[3,2,2,1],s0=2,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[3,2,2,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[3,1,2,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_2D","ne_input=[3,2,3,1],ne_kernel=[2,2,1,3],stride=1","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_2D","ne_input=[10,10,9,1],ne_kernel=[3,3,1,9],stride=2","support","1","yes","Metal" -"Metal","CONV_TRANSPOSE_2D","ne_input=[129,63,35,1],ne_kernel=[3,3,48,35],stride=1","support","1","yes","Metal" -"Metal","COUNT_EQUAL","type=f32,ne=[4,500,1,1]","support","1","yes","Metal" -"Metal","COUNT_EQUAL","type=f32,ne=[4,5000,1,1]","support","1","yes","Metal" -"Metal","ARGMAX","type=f32,ne=[32,1,1,1]","support","1","yes","Metal" -"Metal","ARGMAX","type=f32,ne=[32,513,1,1]","support","1","yes","Metal" -"Metal","ARGMAX","type=f32,ne=[100,10,1,1]","support","1","yes","Metal" -"Metal","ARGMAX","type=f32,ne=[1024,10,1,1]","support","1","yes","Metal" -"Metal","ARGMAX","type=f32,ne=[1024,12,1,1]","support","1","yes","Metal" -"Metal","ARGMAX","type=f32,ne=[2000,10,1,1]","support","1","yes","Metal" -"Metal","ARGMAX","type=f32,ne=[5438,3,1,1]","support","1","yes","Metal" -"Metal","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,1,1,1]","support","1","yes","Metal" -"Metal","REPEAT","type=f32,ne=[10,5,4,1],nr=[2,1,1,1]","support","1","yes","Metal" -"Metal","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,2,1,1]","support","1","yes","Metal" -"Metal","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,1,2,1]","support","1","yes","Metal" -"Metal","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,1,1,2]","support","1","yes","Metal" -"Metal","REPEAT","type=i32,ne=[10,5,4,1],nr=[2,1,1,1]","support","1","yes","Metal" -"Metal","REPEAT","type=i16,ne=[10,5,4,1],nr=[1,1,1,2]","support","1","yes","Metal" -"Metal","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,1,1,1]","support","1","yes","Metal" -"Metal","REPEAT","type=f32,ne=[10,5,4,3],nr=[2,1,1,1]","support","1","yes","Metal" -"Metal","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,2,1,1]","support","1","yes","Metal" -"Metal","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,1,2,1]","support","1","yes","Metal" -"Metal","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,1,1,2]","support","1","yes","Metal" -"Metal","REPEAT","type=i32,ne=[10,5,4,3],nr=[2,1,1,1]","support","1","yes","Metal" -"Metal","REPEAT","type=i16,ne=[10,5,4,3],nr=[1,1,1,2]","support","1","yes","Metal" -"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,1,1,1],v=0","support","0","no","Metal" -"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[2,1,1,1],v=0","support","0","no","Metal" -"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,2,1,1],v=0","support","0","no","Metal" -"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,1,2,1],v=0","support","0","no","Metal" -"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,1,1,2],v=0","support","0","no","Metal" -"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,1,1,1],v=1","support","0","no","Metal" -"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[2,1,1,1],v=1","support","0","no","Metal" -"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,2,1,1],v=1","support","0","no","Metal" -"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,1,2,1],v=1","support","0","no","Metal" -"Metal","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,1,1,2],v=1","support","0","no","Metal" -"Metal","DUP","type=f32,ne=[10,10,20,1]","support","1","yes","Metal" -"Metal","DUP","type=f16,ne=[10,10,20,1]","support","1","yes","Metal" -"Metal","DUP","type=i32,ne=[10,10,20,1]","support","1","yes","Metal" -"Metal","DUP","type=i16,ne=[10,10,20,1]","support","0","no","Metal" -"Metal","DUP","type=f32,ne=[10,10,5,1],permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","DUP","type=f16,ne=[10,10,5,1],permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","DUP","type=f32,ne=[10,10,5,1],permute=[1,0,2,3]","support","1","yes","Metal" -"Metal","DUP","type=f16,ne=[10,10,5,1],permute=[1,0,2,3]","support","1","yes","Metal" -"Metal","DUP","type=i16,ne=[10,8,3,1],permute=[0,2,1,3]","support","0","no","Metal" -"Metal","DUP","type=i16,ne=[10,8,3,1],permute=[1,2,0,3]","support","0","no","Metal" -"Metal","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1","support","0","no","Metal" -"Metal","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2","support","0","no","Metal" -"Metal","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3","support","0","no","Metal" -"Metal","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1","support","0","no","Metal" -"Metal","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2","support","0","no","Metal" -"Metal","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3","support","0","no","Metal" -"Metal","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f32,type_dst=f32,ne=[2,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f32,type_dst=f32,ne=[2,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f32,type_dst=f32,ne=[2,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f32,type_dst=f32,ne=[3,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f32,type_dst=f32,ne=[3,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f32,type_dst=f32,ne=[3,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f16,type_dst=f16,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f16,type_dst=f16,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f16,type_dst=f16,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f16,type_dst=f16,ne=[2,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f16,type_dst=f16,ne=[2,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f16,type_dst=f16,ne=[2,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f16,type_dst=f16,ne=[3,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f16,type_dst=f16,ne=[3,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f16,type_dst=f16,ne=[3,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[2,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[2,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[2,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[3,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[3,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[3,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=q4_0,type_dst=q4_0,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q4_0,type_dst=q4_0,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q4_0,type_dst=q4_0,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q4_0,type_dst=q4_0,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q4_0,type_dst=q4_0,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q4_0,type_dst=q4_0,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q4_0,type_dst=q4_0,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q4_0,type_dst=q4_0,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q4_0,type_dst=q4_0,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q4_1,type_dst=q4_1,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q4_1,type_dst=q4_1,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q4_1,type_dst=q4_1,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q4_1,type_dst=q4_1,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q4_1,type_dst=q4_1,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q4_1,type_dst=q4_1,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q4_1,type_dst=q4_1,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q4_1,type_dst=q4_1,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q4_1,type_dst=q4_1,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_0,type_dst=q5_0,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_0,type_dst=q5_0,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_0,type_dst=q5_0,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_0,type_dst=q5_0,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_0,type_dst=q5_0,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_0,type_dst=q5_0,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_0,type_dst=q5_0,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_0,type_dst=q5_0,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_0,type_dst=q5_0,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_1,type_dst=q5_1,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_1,type_dst=q5_1,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_1,type_dst=q5_1,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_1,type_dst=q5_1,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_1,type_dst=q5_1,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_1,type_dst=q5_1,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_1,type_dst=q5_1,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_1,type_dst=q5_1,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_1,type_dst=q5_1,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q8_0,type_dst=q8_0,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q8_0,type_dst=q8_0,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q8_0,type_dst=q8_0,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q8_0,type_dst=q8_0,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q8_0,type_dst=q8_0,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q8_0,type_dst=q8_0,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q8_0,type_dst=q8_0,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q8_0,type_dst=q8_0,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q8_0,type_dst=q8_0,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" 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-"Metal","CPY","type_src=iq1_m,type_dst=iq1_m,ne=[768,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq4_nl,type_dst=iq4_nl,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq3_s,type_dst=iq3_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" 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-"Metal","CPY","type_src=f16,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f16,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=bf16,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=bf16,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=q4_0,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=q4_0,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=q4_1,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=q4_1,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=q5_0,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=q5_0,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=q5_1,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=q5_1,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=q8_0,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=q8_0,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=mxfp4,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=mxfp4,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q2_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q2_K,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q3_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q3_K,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q4_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q4_K,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q5_K,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q6_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=q6_K,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq2_xxs,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq2_xxs,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq2_xs,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq2_xs,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq2_s,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq2_s,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq3_xxs,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq3_xxs,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq1_s,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq1_s,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq1_m,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq1_m,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq4_nl,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq4_nl,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq3_s,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq3_s,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq4_xs,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=iq4_xs,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","Metal" -"Metal","CPY","type_src=f16,type_dst=f16,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f16,type_dst=f32,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f32,type_dst=f16,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f32,type_dst=f32,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f32,type_dst=i32,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f32,type_dst=i32,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=i32,type_dst=f32,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=i32,type_dst=f32,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f16,type_dst=f16,ne=[256,4,3,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","Metal" -"Metal","CPY","type_src=f32,type_dst=f32,ne=[256,4,3,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","Metal" -"Metal","CPY","type_src=f32,type_dst=f32,ne=[256,4,3,3],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","Metal" -"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[256,4,3,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","Metal" -"Metal","CPY","type_src=f16,type_dst=f16,ne=[256,4,1,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","Metal" -"Metal","CPY","type_src=f32,type_dst=f32,ne=[256,4,1,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","Metal" -"Metal","CPY","type_src=bf16,type_dst=bf16,ne=[256,4,1,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","Metal" -"Metal","CPY","type_src=i32,type_dst=i32,ne=[256,4,1,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","Metal" -"Metal","CPY","type_src=i32,type_dst=i32,ne=[256,1,4,1],permute_src=[1,2,0,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CPY","type_src=f32,type_dst=f32,ne=[256,1,4,1],permute_src=[1,2,0,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Metal" -"Metal","CONT","type=f32,ne=[2,1,1,1],use_view_slice=1","support","1","yes","Metal" -"Metal","CONT","type=f32,ne=[2,1,3,5],use_view_slice=1","support","1","yes","Metal" -"Metal","CONT","type=f32,ne=[2,3,5,7],use_view_slice=1","support","1","yes","Metal" -"Metal","CONT","type=f32,ne=[1,4,4,1],use_view_slice=1","support","1","yes","Metal" -"Metal","CONT","type=f32,ne=[1,8,17,1],use_view_slice=1","support","1","yes","Metal" -"Metal","CONT","type=f32,ne=[10,10,10,1],use_view_slice=1","support","1","yes","Metal" -"Metal","CONT","type=f32,ne=[2,1,1,1],use_view_slice=0","support","1","yes","Metal" -"Metal","CONT","type=f32,ne=[2,1,3,5],use_view_slice=0","support","1","yes","Metal" -"Metal","CONT","type=f32,ne=[2,3,5,7],use_view_slice=0","support","1","yes","Metal" -"Metal","CONT","type=f32,ne=[1,4,4,1],use_view_slice=0","support","1","yes","Metal" -"Metal","CONT","type=f32,ne=[1,8,17,1],use_view_slice=0","support","1","yes","Metal" -"Metal","CONT","type=f32,ne=[10,10,10,1],use_view_slice=0","support","1","yes","Metal" -"Metal","CONT","type=i32,ne=[2,1,1,1],use_view_slice=1","support","1","yes","Metal" -"Metal","CONT","type=i32,ne=[2,1,3,5],use_view_slice=1","support","1","yes","Metal" -"Metal","CONT","type=i32,ne=[2,3,5,7],use_view_slice=1","support","1","yes","Metal" -"Metal","CONT","type=i32,ne=[1,4,4,1],use_view_slice=1","support","1","yes","Metal" -"Metal","CONT","type=i32,ne=[1,8,17,1],use_view_slice=1","support","1","yes","Metal" -"Metal","CONT","type=i32,ne=[10,10,10,1],use_view_slice=1","support","1","yes","Metal" -"Metal","CONT","type=i32,ne=[2,1,1,1],use_view_slice=0","support","1","yes","Metal" -"Metal","CONT","type=i32,ne=[2,1,3,5],use_view_slice=0","support","1","yes","Metal" -"Metal","CONT","type=i32,ne=[2,3,5,7],use_view_slice=0","support","1","yes","Metal" -"Metal","CONT","type=i32,ne=[1,4,4,1],use_view_slice=0","support","1","yes","Metal" -"Metal","CONT","type=i32,ne=[1,8,17,1],use_view_slice=0","support","1","yes","Metal" -"Metal","CONT","type=i32,ne=[10,10,10,1],use_view_slice=0","support","1","yes","Metal" -"Metal","CONT","type=f16,ne=[2,1,1,1],use_view_slice=0","support","1","yes","Metal" -"Metal","CONT","type=f16,ne=[2,1,3,5],use_view_slice=0","support","1","yes","Metal" -"Metal","CONT","type=f16,ne=[2,3,5,7],use_view_slice=0","support","1","yes","Metal" -"Metal","CONT","type=f16,ne=[1,4,4,1],use_view_slice=0","support","1","yes","Metal" -"Metal","CONT","type=f16,ne=[1,8,17,1],use_view_slice=0","support","1","yes","Metal" -"Metal","CONT","type=f16,ne=[10,10,10,1],use_view_slice=0","support","1","yes","Metal" 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-"Metal","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","SUB","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","MUL","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","DIV","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","0","no","Metal" -"Metal","ADD","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","SUB","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","MUL","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","DIV","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Metal" -"Metal","ADD1","type=f32,ne=[10,5,4,3]","support","0","no","Metal" -"Metal","ADD1","type=f32,ne=[1024,1024,1,1]","support","0","no","Metal" -"Metal","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=1.000000,inplace=0","support","1","yes","Metal" -"Metal","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=1.000000,inplace=1","support","1","yes","Metal" -"Metal","SCALE","type=f32,ne=[100,10,10,10],scale=2.000000,bias=1.000000,inplace=0","support","1","yes","Metal" -"Metal","SILU_BACK","type=f32,ne=[64,5,4,3],eps=0.000001","support","0","no","Metal" -"Metal","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000000","support","1","yes","Metal" -"Metal","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000000,inplace=0","support","1","yes","Metal" -"Metal","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000","support","1","yes","Metal" -"Metal","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000,inplace=0","support","1","yes","Metal" -"Metal","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000000","support","0","no","Metal" -"Metal","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Metal" -"Metal","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001","support","1","yes","Metal" -"Metal","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001,inplace=0","support","1","yes","Metal" -"Metal","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000001","support","1","yes","Metal" -"Metal","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000001,inplace=0","support","1","yes","Metal" -"Metal","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000001","support","0","no","Metal" -"Metal","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Metal" -"Metal","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000100","support","1","yes","Metal" -"Metal","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000100,inplace=0","support","1","yes","Metal" -"Metal","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000100","support","1","yes","Metal" -"Metal","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000100,inplace=0","support","1","yes","Metal" -"Metal","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000100","support","0","no","Metal" -"Metal","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Metal" -"Metal","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.100000","support","1","yes","Metal" -"Metal","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.100000,inplace=0","support","1","yes","Metal" -"Metal","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.100000","support","1","yes","Metal" -"Metal","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.100000,inplace=0","support","1","yes","Metal" -"Metal","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.100000","support","0","no","Metal" -"Metal","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Metal" -"Metal","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001,inplace=1","support","1","yes","Metal" -"Metal","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[3,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[6,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[3,1024,4,1],ne_b=[3,1024,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[3,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[6,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[3,1536,4,1],ne_b=[3,1536,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[3,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[6,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[3,2048,4,1],ne_b=[3,2048,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[4,1024,1,1],ne_b=[4,1024,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[8,1024,1,1],ne_b=[4,1024,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[4,1024,4,1],ne_b=[4,1024,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[4,1536,1,1],ne_b=[4,1536,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[8,1536,1,1],ne_b=[4,1536,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[4,1536,4,1],ne_b=[4,1536,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[4,2048,1,1],ne_b=[4,2048,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[8,2048,1,1],ne_b=[4,2048,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[4,2048,4,1],ne_b=[4,2048,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[9,1024,1,1],ne_b=[9,1024,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[18,1024,1,1],ne_b=[9,1024,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[9,1024,4,1],ne_b=[9,1024,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[9,1536,1,1],ne_b=[9,1536,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[18,1536,1,1],ne_b=[9,1536,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[9,1536,4,1],ne_b=[9,1536,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[9,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[18,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","Metal" -"Metal","SSM_CONV","type=f32,ne_a=[9,2048,4,1],ne_b=[9,2048,1,1]","support","1","yes","Metal" -"Metal","SSM_SCAN","type=f32,d_state=16,head_dim=1,n_head=1024,n_group=1,n_seq_tokens=32,n_seqs=4","support","1","yes","Metal" -"Metal","SSM_SCAN","type=f32,d_state=128,head_dim=64,n_head=16,n_group=2,n_seq_tokens=32,n_seqs=4","support","1","yes","Metal" -"Metal","SSM_SCAN","type=f32,d_state=256,head_dim=64,n_head=8,n_group=2,n_seq_tokens=32,n_seqs=4","support","1","yes","Metal" -"Metal","RWKV_WKV6","type=f32,head_count=32,head_size=64,n_seq_tokens=1,n_seqs=1","support","1","yes","Metal" -"Metal","RWKV_WKV6","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=1","support","1","yes","Metal" -"Metal","RWKV_WKV6","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=4","support","1","yes","Metal" -"Metal","RWKV_WKV6","type=f32,head_count=32,head_size=64,n_seq_tokens=128,n_seqs=4","support","1","yes","Metal" -"Metal","RWKV_WKV7","type=f32,head_count=32,head_size=64,n_seq_tokens=1,n_seqs=1","support","1","yes","Metal" -"Metal","RWKV_WKV7","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=1","support","1","yes","Metal" -"Metal","RWKV_WKV7","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=4","support","1","yes","Metal" -"Metal","RWKV_WKV7","type=f32,head_count=32,head_size=64,n_seq_tokens=128,n_seqs=4","support","1","yes","Metal" -"Metal","GATED_LINEAR_ATTN","type=f32,head_count=32,head_size=64,n_seq_tokens=1,n_seqs=1","support","0","no","Metal" -"Metal","GATED_LINEAR_ATTN","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=1","support","0","no","Metal" -"Metal","GATED_LINEAR_ATTN","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=4","support","0","no","Metal" -"Metal","GATED_LINEAR_ATTN","type=f32,head_count=32,head_size=64,n_seq_tokens=128,n_seqs=4","support","0","no","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=4,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" 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-"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_K,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xxs,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=32,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=1,k=32,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=1,k=32,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=32,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q6_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_xs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq2_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq1_m,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=1,k=32,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=1,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=64,n=2,k=128,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=83,n=2,k=128,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=64,n=2,k=64,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=83,n=2,k=64,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=64,n=45,k=128,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=45,k=64,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=193,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=67,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=64,n=77,k=77,bs=[12,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=q4_0,type_b=f32,m=576,n=512,k=576,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Metal" -"Metal","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=16,n_used=16,b=0,m=32,n=1024,k=16","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=2,n_used=2,b=0,m=32,n=8192,k=64","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=16,n_used=16,b=0,m=50,n=200,k=64","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=16,n_used=16,b=1,m=32,n=1024,k=16","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=2,n_used=2,b=1,m=32,n=8192,k=64","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=16,n_used=16,b=1,m=50,n=200,k=64","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=1,n_used=1,b=0,m=8,n=16,k=1","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=32,n_used=2,b=0,m=2880,n=32,k=2880","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","Metal" -"Metal","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","Metal" 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-"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=8,n_experts_used=4,n_token=1","support","1","yes","Metal" -"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=8,n_experts_used=4,n_token=32","support","1","yes","Metal" -"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=32,n_experts=8,n_experts_used=4,n_token=129","support","1","yes","Metal" -"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=4,n_token=1","support","1","yes","Metal" -"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=4,n_token=32","support","1","yes","Metal" -"Metal","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=4,n_token=129","support","1","yes","Metal" -"Metal","SQR","type=f16,ne=[10,5,4,3]","support","0","no","Metal" -"Metal","SQRT","type=f16,ne=[10,3,3,2]","support","0","no","Metal" -"Metal","LOG","type=f16,ne=[10,5,4,3]","support","0","no","Metal" -"Metal","SIN","type=f16,ne=[10,2,2,2]","support","0","no","Metal" -"Metal","COS","type=f16,ne=[10,2,2,2]","support","0","no","Metal" -"Metal","CLAMP","type=f16,ne=[10,5,4,3],min=-0.500000,max=0.500000","support","0","no","Metal" -"Metal","LEAKY_RELU","type=f16,ne_a=[10,5,4,3],negative_slope=0.100000","support","0","no","Metal" -"Metal","FLOOR","type=f16,ne=[10,2,2,2]","support","0","no","Metal" -"Metal","CEIL","type=f16,ne=[10,2,2,2]","support","0","no","Metal" -"Metal","ROUND","type=f16,ne=[10,2,2,2]","support","0","no","Metal" -"Metal","TRUNC","type=f16,ne=[10,2,2,2]","support","0","no","Metal" -"Metal","SQR","type=f16,ne=[7,1,5,3]","support","0","no","Metal" -"Metal","SQRT","type=f16,ne=[7,1,5,3]","support","0","no","Metal" -"Metal","LOG","type=f16,ne=[7,1,5,3]","support","0","no","Metal" -"Metal","SIN","type=f16,ne=[7,1,5,3]","support","0","no","Metal" -"Metal","COS","type=f16,ne=[7,1,5,3]","support","0","no","Metal" -"Metal","CLAMP","type=f16,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","0","no","Metal" -"Metal","LEAKY_RELU","type=f16,ne_a=[7,1,5,3],negative_slope=0.100000","support","0","no","Metal" -"Metal","FLOOR","type=f16,ne=[7,1,5,3]","support","0","no","Metal" -"Metal","FLOOR","type=f16,ne=[1024,1024,1,1]","support","0","no","Metal" -"Metal","CEIL","type=f16,ne=[7,1,5,3]","support","0","no","Metal" -"Metal","CEIL","type=f16,ne=[1024,1024,1,1]","support","0","no","Metal" -"Metal","ROUND","type=f16,ne=[7,1,5,3]","support","0","no","Metal" -"Metal","ROUND","type=f16,ne=[1024,1024,1,1]","support","0","no","Metal" -"Metal","TRUNC","type=f16,ne=[7,1,5,3]","support","0","no","Metal" -"Metal","TRUNC","type=f16,ne=[1024,1024,1,1]","support","0","no","Metal" -"Metal","SQR","type=f32,ne=[10,5,4,3]","support","1","yes","Metal" -"Metal","SQRT","type=f32,ne=[10,3,3,2]","support","1","yes","Metal" -"Metal","LOG","type=f32,ne=[10,5,4,3]","support","1","yes","Metal" -"Metal","SIN","type=f32,ne=[10,2,2,2]","support","1","yes","Metal" -"Metal","COS","type=f32,ne=[10,2,2,2]","support","1","yes","Metal" -"Metal","CLAMP","type=f32,ne=[10,5,4,3],min=-0.500000,max=0.500000","support","1","yes","Metal" -"Metal","LEAKY_RELU","type=f32,ne_a=[10,5,4,3],negative_slope=0.100000","support","1","yes","Metal" -"Metal","FLOOR","type=f32,ne=[10,2,2,2]","support","0","no","Metal" -"Metal","CEIL","type=f32,ne=[10,2,2,2]","support","0","no","Metal" -"Metal","ROUND","type=f32,ne=[10,2,2,2]","support","0","no","Metal" -"Metal","TRUNC","type=f32,ne=[10,2,2,2]","support","0","no","Metal" -"Metal","SQR","type=f32,ne=[7,1,5,3]","support","1","yes","Metal" -"Metal","SQRT","type=f32,ne=[7,1,5,3]","support","1","yes","Metal" -"Metal","LOG","type=f32,ne=[7,1,5,3]","support","1","yes","Metal" -"Metal","SIN","type=f32,ne=[7,1,5,3]","support","1","yes","Metal" -"Metal","COS","type=f32,ne=[7,1,5,3]","support","1","yes","Metal" -"Metal","CLAMP","type=f32,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","1","yes","Metal" -"Metal","LEAKY_RELU","type=f32,ne_a=[7,1,5,3],negative_slope=0.100000","support","1","yes","Metal" -"Metal","FLOOR","type=f32,ne=[7,1,5,3]","support","0","no","Metal" -"Metal","FLOOR","type=f32,ne=[1024,1024,1,1]","support","0","no","Metal" -"Metal","CEIL","type=f32,ne=[7,1,5,3]","support","0","no","Metal" -"Metal","CEIL","type=f32,ne=[1024,1024,1,1]","support","0","no","Metal" -"Metal","ROUND","type=f32,ne=[7,1,5,3]","support","0","no","Metal" -"Metal","ROUND","type=f32,ne=[1024,1024,1,1]","support","0","no","Metal" -"Metal","TRUNC","type=f32,ne=[7,1,5,3]","support","0","no","Metal" -"Metal","TRUNC","type=f32,ne=[1024,1024,1,1]","support","0","no","Metal" -"Metal","DIAG_MASK_INF","type=f32,ne=[10,10,1,1],n_past=5","support","0","no","Metal" -"Metal","DIAG_MASK_INF","type=f32,ne=[10,10,3,1],n_past=5","support","0","no","Metal" -"Metal","DIAG_MASK_INF","type=f32,ne=[10,10,3,2],n_past=5","support","0","no","Metal" -"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[16,2,32,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=1","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[16,2,32,1],mask=0,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=1","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[1024,16,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[1023,15,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[1024,1024,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[1023,1023,1,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[16,2,32,1],mask=0,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=1","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[16,2,32,1],mask=0,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=1","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[16,16,1,3],mask=1,sinks=0,m_prec=f32,nr23=[3,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f32,nr23=[2,3],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[16,16,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[16,16,1,3],mask=1,sinks=0,m_prec=f16,nr23=[3,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[15,15,1,1],mask=1,sinks=0,m_prec=f16,nr23=[2,3],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=1,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[16,1024,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" -"Metal","SOFT_MAX","type=f32,ne=[15,1023,1,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Metal" 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-"Metal","SOFT_MAX_BACK","type=f32,ne=[16,16,2,3],scale=1.000000,max_bias=0.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[16,1024,1,1],scale=1.000000,max_bias=0.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[15,1023,1,1],scale=1.000000,max_bias=0.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[16,1024,2,3],scale=1.000000,max_bias=0.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,16,1,1],scale=1.000000,max_bias=0.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[1023,15,1,1],scale=1.000000,max_bias=0.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,16,2,3],scale=1.000000,max_bias=0.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,1024,1,1],scale=1.000000,max_bias=0.000000","support","0","no","Metal" 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-"Metal","SOFT_MAX_BACK","type=f32,ne=[1023,1023,1,1],scale=1.000000,max_bias=8.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,1024,2,3],scale=1.000000,max_bias=8.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[16,16,1,1],scale=0.100000,max_bias=8.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[15,15,1,1],scale=0.100000,max_bias=8.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[16,16,2,3],scale=0.100000,max_bias=8.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[16,1024,1,1],scale=0.100000,max_bias=8.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[15,1023,1,1],scale=0.100000,max_bias=8.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[16,1024,2,3],scale=0.100000,max_bias=8.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,16,1,1],scale=0.100000,max_bias=8.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[1023,15,1,1],scale=0.100000,max_bias=8.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,16,2,3],scale=0.100000,max_bias=8.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,1024,1,1],scale=0.100000,max_bias=8.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[1023,1023,1,1],scale=0.100000,max_bias=8.000000","support","0","no","Metal" -"Metal","SOFT_MAX_BACK","type=f32,ne=[1024,1024,2,3],scale=0.100000,max_bias=8.000000","support","0","no","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.000000,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal" 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-"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=0,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.000000,ff=1,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal" -"Metal","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Metal" -"Metal","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Metal" -"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","Metal" -"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","Metal" -"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","Metal" -"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","Metal" -"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=0","support","1","yes","Metal" -"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=0","support","1","yes","Metal" -"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=0","support","1","yes","Metal" -"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=0","support","1","yes","Metal" -"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=1","support","1","yes","Metal" -"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=1","support","1","yes","Metal" -"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=1","support","1","yes","Metal" -"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=1","support","1","yes","Metal" -"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=1","support","1","yes","Metal" -"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=1","support","1","yes","Metal" -"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=1","support","1","yes","Metal" -"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=1","support","1","yes","Metal" -"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=2","support","1","yes","Metal" -"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=2","support","1","yes","Metal" -"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=2","support","1","yes","Metal" -"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=2","support","1","yes","Metal" -"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=2","support","1","yes","Metal" -"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=2","support","1","yes","Metal" -"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=2","support","1","yes","Metal" -"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=2","support","1","yes","Metal" -"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=3","support","1","yes","Metal" -"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=3","support","1","yes","Metal" -"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=3","support","1","yes","Metal" -"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=3","support","1","yes","Metal" -"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=3","support","1","yes","Metal" -"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=3","support","1","yes","Metal" -"Metal","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=3","support","1","yes","Metal" -"Metal","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=3","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[3,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[4,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[7,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[8,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[15,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[16,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[31,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[32,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[63,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[64,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[127,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[128,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[255,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[256,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[511,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[512,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[1023,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[1024,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[2047,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[2048,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[4095,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[4096,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[8191,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[8192,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[16383,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[16384,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[32767,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[32768,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[65535,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[65536,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[131071,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[131072,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[262143,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[262144,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[524287,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[524288,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[1048575,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[1048576,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[16,10,10,10],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[60,10,10,10],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[1023,2,1,3],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[1024,2,1,3],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[1025,2,1,3],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[2047,2,1,3],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[2048,2,1,3],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[2049,2,1,3],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[2,8,8192,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[3,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[4,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[7,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[8,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[15,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[16,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[31,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[32,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[63,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[64,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[127,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[128,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[255,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[256,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[511,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[512,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[1023,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[1024,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[2047,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[2048,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[4095,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[4096,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[8191,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[8192,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[16383,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[16384,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[32767,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[32768,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[65535,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[65536,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[131071,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[131072,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[262143,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[262144,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[524287,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[524288,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[1048575,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[1048576,1,1,1],order=0","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[16,10,10,10],order=1","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[60,10,10,10],order=1","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[1023,2,1,3],order=1","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[1024,2,1,3],order=1","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[1025,2,1,3],order=1","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[2047,2,1,3],order=1","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[2048,2,1,3],order=1","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[2049,2,1,3],order=1","support","1","yes","Metal" -"Metal","ARGSORT","type=f32,ne=[2,8,8192,1],order=1","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[12,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[13,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[13,1,2,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[4,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[15,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[4,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[15,1,2,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[4,1,1,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[15,1,2,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[19,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[19,1,2,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8,1,1,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[19,1,2,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8,1,1,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[19,1,2,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[27,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[27,1,2,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16,1,1,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[27,1,2,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16,1,1,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[27,1,2,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16,1,1,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[27,1,2,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[43,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[43,1,2,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32,1,1,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[43,1,2,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32,1,1,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[43,1,2,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32,1,1,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[43,1,2,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[64,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[75,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[64,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[75,1,2,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[64,1,1,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[75,1,2,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[64,1,1,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[75,1,2,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[64,1,1,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[75,1,2,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[128,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[139,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[128,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[139,1,2,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[128,1,1,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[139,1,2,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[128,1,1,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[139,1,2,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[128,1,1,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[139,1,2,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[128,1,1,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[139,1,2,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[256,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[267,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[256,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[267,1,2,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[256,1,1,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[267,1,2,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[256,1,1,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[267,1,2,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[256,1,1,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[267,1,2,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[256,1,1,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[267,1,2,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[512,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[523,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[512,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[523,1,2,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[512,1,1,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[523,1,2,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[512,1,1,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[523,1,2,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[512,1,1,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[523,1,2,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[512,1,1,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[523,1,2,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[512,1,1,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[523,1,2,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1024,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1035,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1024,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1035,1,2,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1024,1,1,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1035,1,2,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1024,1,1,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1035,1,2,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1024,1,1,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1035,1,2,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1024,1,1,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1035,1,2,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1024,1,1,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1035,1,2,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1024,1,1,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1035,1,2,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2048,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2059,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2048,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2059,1,2,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2048,1,1,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2059,1,2,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2048,1,1,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2059,1,2,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2048,1,1,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2059,1,2,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2048,1,1,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2059,1,2,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2048,1,1,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2059,1,2,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2048,1,1,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2059,1,2,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[4096,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[4107,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[4096,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[4107,1,2,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[4096,1,1,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[4107,1,2,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[4096,1,1,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[4107,1,2,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[4096,1,1,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[4107,1,2,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[4096,1,1,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[4107,1,2,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[4096,1,1,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[4107,1,2,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[4096,1,1,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[4107,1,2,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8192,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8203,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8192,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8203,1,2,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8192,1,1,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8203,1,2,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8192,1,1,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8203,1,2,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8192,1,1,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8203,1,2,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8192,1,1,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8203,1,2,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8192,1,1,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8203,1,2,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8192,1,1,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[8203,1,2,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16395,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16395,1,2,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16395,1,2,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16395,1,2,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16395,1,2,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16395,1,2,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16395,1,2,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16395,1,2,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=9999,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16395,1,2,1],k=9999,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32768,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32779,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32768,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32779,1,2,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32768,1,1,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32779,1,2,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32768,1,1,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32779,1,2,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32768,1,1,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32779,1,2,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32768,1,1,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32779,1,2,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32768,1,1,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32779,1,2,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32768,1,1,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32779,1,2,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32768,1,1,1],k=9999,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[32779,1,2,1],k=9999,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[65536,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[65547,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[65536,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[65547,1,2,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[65536,1,1,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[65547,1,2,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[65536,1,1,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[65547,1,2,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[65536,1,1,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[65547,1,2,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[65536,1,1,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[65547,1,2,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[65536,1,1,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[65547,1,2,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[65536,1,1,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[65547,1,2,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[65536,1,1,1],k=9999,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[65547,1,2,1],k=9999,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[131072,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[131083,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[131072,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[131083,1,2,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[131072,1,1,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[131083,1,2,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[131072,1,1,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[131083,1,2,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[131072,1,1,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[131083,1,2,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[131072,1,1,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[131083,1,2,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[131072,1,1,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[131083,1,2,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[131072,1,1,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[131083,1,2,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[131072,1,1,1],k=9999,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[131083,1,2,1],k=9999,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[262144,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[262155,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[262144,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[262155,1,2,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[262144,1,1,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[262155,1,2,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[262144,1,1,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[262155,1,2,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[262144,1,1,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[262155,1,2,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[262144,1,1,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[262155,1,2,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[262144,1,1,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[262155,1,2,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[262144,1,1,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[262155,1,2,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[262144,1,1,1],k=9999,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[262155,1,2,1],k=9999,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[524288,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[524299,1,2,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[524288,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[524299,1,2,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[524288,1,1,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[524299,1,2,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[524288,1,1,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[524299,1,2,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[524288,1,1,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[524299,1,2,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[524288,1,1,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[524299,1,2,1],k=100,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[524288,1,1,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[524299,1,2,1],k=500,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[524288,1,1,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[524299,1,2,1],k=1023,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[524288,1,1,1],k=9999,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[524299,1,2,1],k=9999,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16,10,10,10],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[60,10,10,10],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1023,2,1,3],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1024,2,1,3],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1025,2,1,3],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2047,2,1,3],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2048,2,1,3],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2049,2,1,3],k=1,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16,10,10,10],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[60,10,10,10],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1023,2,1,3],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1024,2,1,3],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1025,2,1,3],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2047,2,1,3],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2048,2,1,3],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2049,2,1,3],k=2,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16,10,10,10],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[60,10,10,10],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1023,2,1,3],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1024,2,1,3],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1025,2,1,3],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2047,2,1,3],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2048,2,1,3],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2049,2,1,3],k=3,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16,10,10,10],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[60,10,10,10],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1023,2,1,3],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1024,2,1,3],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1025,2,1,3],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2047,2,1,3],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2048,2,1,3],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2049,2,1,3],k=7,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16,10,10,10],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[60,10,10,10],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1023,2,1,3],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1024,2,1,3],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[1025,2,1,3],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[16384,1,1,1],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2047,2,1,3],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2048,2,1,3],k=15,ties=0","support","1","yes","Metal" -"Metal","TOP_K","type=f32,ne=[2049,2,1,3],k=15,ties=0","support","1","yes","Metal" -"Metal","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=nearest,transpose=0","support","1","yes","Metal" -"Metal","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=nearest,transpose=1","support","1","yes","Metal" -"Metal","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=nearest,flags=none","support","1","yes","Metal" -"Metal","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=nearest,flags=none","support","1","yes","Metal" -"Metal","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear,transpose=0","support","0","no","Metal" -"Metal","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear,transpose=1","support","0","no","Metal" -"Metal","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear,flags=none","support","0","no","Metal" -"Metal","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear,flags=none","support","0","no","Metal" -"Metal","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bicubic,transpose=0","support","0","no","Metal" -"Metal","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bicubic,transpose=1","support","0","no","Metal" -"Metal","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic,flags=none","support","0","no","Metal" -"Metal","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bicubic,flags=none","support","0","no","Metal" -"Metal","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=513,transpose=0","support","0","no","Metal" -"Metal","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=513,transpose=1","support","0","no","Metal" -"Metal","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear,flags=none","support","0","no","Metal" -"Metal","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear,flags=none","support","0","no","Metal" -"Metal","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear,flags=align_corners","support","0","no","Metal" -"Metal","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bilinear,flags=align_corners","support","0","no","Metal" -"Metal","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bilinear,flags=align_corners","support","0","no","Metal" -"Metal","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic,flags=align_corners","support","0","no","Metal" -"Metal","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bicubic,flags=align_corners","support","0","no","Metal" -"Metal","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bicubic,flags=align_corners","support","0","no","Metal" -"Metal","SUM","type=f32,ne=[10,5,4,3]","support","1","yes","Metal" -"Metal","SUM_ROWS","type=f32,ne=[10,5,4,3],permute=0,slice=0","support","1","yes","Metal" -"Metal","SUM","type=f32,ne=[11,5,6,3],permute=[0,2,1,3]","support","0","no","Metal" -"Metal","SUM","type=f32,ne=[11,5,6,3],permute=[0,3,2,1]","support","0","no","Metal" -"Metal","SUM","type=f32,ne=[11,5,6,3],permute=[0,1,3,2]","support","0","no","Metal" -"Metal","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=0","support","1","yes","Metal" -"Metal","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=0,slice=1","support","1","yes","Metal" -"Metal","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=1","support","1","yes","Metal" -"Metal","MEAN","type=f32,ne=[10,5,4,3]","support","1","yes","Metal" -"Metal","SUM","type=f32,ne=[33,1,1,1]","support","1","yes","Metal" -"Metal","SUM_ROWS","type=f32,ne=[33,1,1,1],permute=0,slice=0","support","1","yes","Metal" -"Metal","MEAN","type=f32,ne=[33,1,1,1]","support","1","yes","Metal" -"Metal","SUM","type=f32,ne=[33,1024,1,1]","support","1","yes","Metal" -"Metal","SUM_ROWS","type=f32,ne=[33,1024,1,1],permute=0,slice=0","support","1","yes","Metal" -"Metal","SUM","type=f32,ne=[33,256,1,1]","support","1","yes","Metal" -"Metal","SUM","type=f32,ne=[33,256,1,1],permute=[1,0,2,3]","support","0","no","Metal" -"Metal","SUM_ROWS","type=f32,ne=[33,256,1,1],permute=0,slice=0","support","1","yes","Metal" -"Metal","MEAN","type=f32,ne=[33,256,1,1]","support","1","yes","Metal" -"Metal","MEAN","type=f32,ne=[32769,1,1,1]","support","1","yes","Metal" -"Metal","GROUP_NORM","type=f32,ne=[64,64,320,1],num_groups=32,eps=0.000001","support","1","yes","Metal" -"Metal","GROUP_NORM","type=f32,ne=[9,9,1280,1],num_groups=32,eps=0.000001","support","1","yes","Metal" -"Metal","ACC","type=f32,ne_a=[256,17,1,1],ne_b=[256,16,1,1]","support","1","yes","Metal" -"Metal","PAD","type=f32,ne_a=[512,512,1,1],pad_0=1,pad_1=1,circular=0","support","1","yes","Metal" -"Metal","PAD","type=f32,ne_a=[33,17,2,1],pad_0=4,pad_1=3,circular=1","support","0","no","Metal" -"Metal","PAD","type=f32,ne_a=[512,512,3,1],lp0=1,rp0=1,lp1=1,rp1=1,lp2=1,rp2=1,lp3=1,rp3=1,v=0,circular=0","support","0","no","Metal" -"Metal","PAD_REFLECT_1D","type=f32,ne_a=[512,34,2,1],pad_0=10,pad_1=9","support","1","yes","Metal" -"Metal","PAD_REFLECT_1D","type=f32,ne_a=[3000,384,4,1],pad_0=10,pad_1=9","support","1","yes","Metal" -"Metal","ROLL","shift0=3,shift1=-2,shift3=1,shift4=-1","support","0","no","Metal" -"Metal","ARANGE","type=f32,start=0.000000,stop=10.000000,step=1.000000","support","1","yes","Metal" -"Metal","ARANGE","type=f32,start=0.000000,stop=1048576.000000,step=1.000000","support","1","yes","Metal" -"Metal","TIMESTEP_EMBEDDING","type=f32,ne_a=[2,1,1,1],dim=320,max_period=10000","support","1","yes","Metal" -"Metal","LEAKY_RELU","type=f32,ne_a=[10,5,4,3],negative_slope=0.100000","support","1","yes","Metal" -"Metal","CUMSUM","type=f32,ne=[10,5,4,3]","support","1","yes","Metal" -"Metal","CUMSUM","type=f32,ne=[127,5,4,3]","support","1","yes","Metal" -"Metal","CUMSUM","type=f32,ne=[128,5,4,3]","support","1","yes","Metal" -"Metal","CUMSUM","type=f32,ne=[128,128,4,4]","support","1","yes","Metal" -"Metal","CUMSUM","type=f32,ne=[255,5,4,3]","support","1","yes","Metal" -"Metal","CUMSUM","type=f32,ne=[256,5,4,3]","support","1","yes","Metal" -"Metal","CUMSUM","type=f32,ne=[511,5,4,3]","support","1","yes","Metal" -"Metal","CUMSUM","type=f32,ne=[512,5,4,3]","support","1","yes","Metal" -"Metal","CUMSUM","type=f32,ne=[1023,5,4,3]","support","1","yes","Metal" -"Metal","CUMSUM","type=f32,ne=[1024,5,4,3]","support","1","yes","Metal" -"Metal","CUMSUM","type=f32,ne=[2047,5,4,3]","support","1","yes","Metal" -"Metal","CUMSUM","type=f32,ne=[2048,5,4,3]","support","1","yes","Metal" -"Metal","CUMSUM","type=f32,ne=[242004,1,1,1]","support","1","yes","Metal" -"Metal","CUMSUM","type=f32,ne=[375960,1,1,1]","support","1","yes","Metal" -"Metal","XIELU","type=f32,ne=[10,5,4,3]","support","0","no","Metal" -"Metal","TRI","type=f32,ne=[10,10,4,3],tri_type=3","support","1","yes","Metal" -"Metal","TRI","type=f32,ne=[10,10,4,3],tri_type=2","support","1","yes","Metal" -"Metal","TRI","type=f32,ne=[10,10,4,3],tri_type=1","support","1","yes","Metal" -"Metal","TRI","type=f32,ne=[10,10,4,3],tri_type=0","support","1","yes","Metal" -"Metal","FILL","type=f32,ne=[10,10,4,3],c=0.000000","support","1","yes","Metal" -"Metal","FILL","type=f32,ne=[303,207,11,3],c=2.000000","support","1","yes","Metal" -"Metal","FILL","type=f32,ne=[800,600,4,4],c=-152.000000","support","1","yes","Metal" -"Metal","FILL","type=f32,ne=[2048,512,2,2],c=3.500000","support","1","yes","Metal" -"Metal","DIAG","type=f32,ne=[10,1,4,3]","support","0","no","Metal" -"Metal","DIAG","type=f32,ne=[79,1,19,13]","support","0","no","Metal" -"Metal","DIAG","type=f32,ne=[256,1,8,16]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[10,10,4,3],ne_rhs=[3,10,4,3]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[11,11,1,1],ne_rhs=[5,11,1,1]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[17,17,2,4],ne_rhs=[9,17,2,4]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[30,30,7,1],ne_rhs=[8,30,7,1]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[42,42,5,2],ne_rhs=[10,42,5,2]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[64,64,2,2],ne_rhs=[10,64,2,2]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[64,64,2,2],ne_rhs=[64,64,2,2]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[79,79,5,3],ne_rhs=[417,79,5,3]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,2],ne_rhs=[32,128,4,2]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[80,80,2,8],ne_rhs=[80,80,2,8]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[80,80,2,8],ne_rhs=[79,80,2,8]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[80,80,2,8],ne_rhs=[81,80,2,8]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[80,80,8,8],ne_rhs=[80,80,8,8]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[80,80,8,8],ne_rhs=[79,80,8,8]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[80,80,8,8],ne_rhs=[81,80,8,8]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[84,84,4,4],ne_rhs=[32,84,4,4]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[95,95,8,8],ne_rhs=[40,95,8,8]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[100,100,4,4],ne_rhs=[41,100,4,4]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,4],ne_rhs=[31,128,4,4]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,4],ne_rhs=[32,128,4,4]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[128,128,3,4],ne_rhs=[32,128,3,4]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,1],ne_rhs=[32,128,4,1]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[64,64,4,4],ne_rhs=[200,64,4,4]","support","0","no","Metal" -"Metal","SOLVE_TRI","type=f32,ne_lhs=[64,64,4,4],ne_rhs=[384,64,4,4]","support","0","no","Metal" -"Metal","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=0,circular=0","support","1","yes","Metal" -"Metal","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=0,circular=0","support","0","no","Metal" -"Metal","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=0,circular=1","support","0","no","Metal" -"Metal","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=0,circular=1","support","0","no","Metal" -"Metal","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=1,circular=0","support","1","yes","Metal" -"Metal","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=1,circular=0","support","0","no","Metal" -"Metal","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=1,circular=1","support","0","no","Metal" -"Metal","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=1,circular=1","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=96,hsv=96,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=256,hsv=256,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" 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-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" 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-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" 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-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" 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-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" 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-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" 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-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" 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-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" 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-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" 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-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" 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-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" 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-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" 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-"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","Metal" -"Metal","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","Metal" 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+"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[20,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL" +"MTL0","CROSS_ENTROPY_LOSS","type=f32,ne=[10,5,4,3]","support","0","no","MTL" +"MTL0","CROSS_ENTROPY_LOSS","type=f32,ne=[30000,1,1,1]","support","0","no","MTL" +"MTL0","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[10,5,4,3]","support","0","no","MTL" +"MTL0","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[30000,1,1,1]","support","0","no","MTL" +"MTL0","OPT_STEP_ADAMW","type=f32,ne=[10,5,4,3]","support","1","yes","MTL" +"MTL0","OPT_STEP_SGD","type=f32,ne=[10,5,4,3]","support","1","yes","MTL" +"MTL0","GATED_DELTA_NET","type=f32,head_count=32,head_size=128,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","1","yes","MTL" +"MTL0","GATED_DELTA_NET","type=f32,head_count=32,head_size=16,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","0","no","MTL" +"MTL0","GATED_DELTA_NET","type=f32,head_count=32,head_size=16,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=1,kda=1","support","0","no","MTL" +"MTL0","GATED_DELTA_NET","type=f32,head_count=32,head_size=16,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","0","no","MTL" +"MTL0","GATED_DELTA_NET","type=f32,head_count=16,head_size=64,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=0","support","1","yes","MTL" +"MTL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","1","yes","MTL" +"MTL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=0,kda=0","support","1","yes","MTL" +"MTL0","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=0","support","1","yes","MTL" +"MTL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=0","support","1","yes","MTL" +"MTL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=1,kda=0","support","1","yes","MTL" +"MTL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","1","yes","MTL" +"MTL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","1","yes","MTL" +"MTL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=16,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","0","no","MTL" +"MTL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=32,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","1","yes","MTL" +"MTL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","1","yes","MTL" +"MTL0","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=1","support","1","yes","MTL" +"MTL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=1","support","1","yes","MTL" +"MTL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=16,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=1","support","0","no","MTL" diff --git a/docs/ops/SYCL.csv b/docs/ops/SYCL.csv index c1622cc6f0..afcb7e4b8e 100644 --- a/docs/ops/SYCL.csv +++ b/docs/ops/SYCL.csv @@ -33,14 +33,14 @@ "SYCL0","SOFTPLUS","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" "SYCL0","GELU_ERF","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" "SYCL0","GELU_ERF","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" -"SYCL0","FLOOR","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" -"SYCL0","FLOOR","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL0","FLOOR","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","SYCL" +"SYCL0","FLOOR","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","SYCL" "SYCL0","CEIL","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" "SYCL0","CEIL","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" -"SYCL0","ROUND","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" -"SYCL0","ROUND","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" -"SYCL0","TRUNC","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" -"SYCL0","TRUNC","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL0","ROUND","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","SYCL" +"SYCL0","ROUND","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","SYCL" +"SYCL0","TRUNC","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","SYCL" +"SYCL0","TRUNC","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","SYCL" "SYCL0","ABS","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" "SYCL0","ABS","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" "SYCL0","SGN","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" @@ -5057,12 +5057,18 @@ "SYCL0","DUP","type=f16,ne=[10,10,5,1],permute=[1,0,2,3]","support","1","yes","SYCL" "SYCL0","DUP","type=i16,ne=[10,8,3,1],permute=[0,2,1,3]","support","1","yes","SYCL" "SYCL0","DUP","type=i16,ne=[10,8,3,1],permute=[1,2,0,3]","support","1","yes","SYCL" -"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1","support","1","yes","SYCL" -"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2","support","1","yes","SYCL" -"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3","support","1","yes","SYCL" -"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1","support","0","no","SYCL" -"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2","support","0","no","SYCL" -"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3","support","0","no","SYCL" +"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=0","support","1","yes","SYCL" +"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=1","support","1","yes","SYCL" +"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=0","support","1","yes","SYCL" +"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=1","support","1","yes","SYCL" +"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=0","support","1","yes","SYCL" +"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=1","support","1","yes","SYCL" +"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=0","support","0","no","SYCL" +"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=1","support","0","no","SYCL" +"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=0","support","0","no","SYCL" +"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=1","support","0","no","SYCL" +"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=0","support","0","no","SYCL" +"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=1","support","0","no","SYCL" "SYCL0","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" "SYCL0","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" "SYCL0","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","SYCL" @@ -5508,230 +5514,366 @@ "SYCL0","CONT","type=bf16,ne=[1,4,4,1],use_view_slice=0","support","0","no","SYCL" "SYCL0","CONT","type=bf16,ne=[1,8,17,1],use_view_slice=0","support","0","no","SYCL" "SYCL0","CONT","type=bf16,ne=[10,10,10,1],use_view_slice=0","support","0","no","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL" 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-"SYCL0","SUB","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","SYCL" 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"SYCL0","SSM_CONV","type=f32,ne_a=[4,2048,1,1],ne_b=[4,2048,1,1]","support","1","yes","SYCL" "SYCL0","SSM_CONV","type=f32,ne_a=[8,2048,1,1],ne_b=[4,2048,1,1]","support","1","yes","SYCL" "SYCL0","SSM_CONV","type=f32,ne_a=[4,2048,4,1],ne_b=[4,2048,1,1]","support","1","yes","SYCL" +"SYCL0","SSM_CONV","type=f32,ne_a=[67,2048,1,1],ne_b=[4,2048,1,1]","support","1","yes","SYCL" +"SYCL0","SSM_CONV","type=f32,ne_a=[67,2048,4,1],ne_b=[4,2048,1,1]","support","1","yes","SYCL" "SYCL0","SSM_CONV","type=f32,ne_a=[9,1024,1,1],ne_b=[9,1024,1,1]","support","1","yes","SYCL" "SYCL0","SSM_CONV","type=f32,ne_a=[18,1024,1,1],ne_b=[9,1024,1,1]","support","1","yes","SYCL" "SYCL0","SSM_CONV","type=f32,ne_a=[9,1024,4,1],ne_b=[9,1024,1,1]","support","1","yes","SYCL" +"SYCL0","SSM_CONV","type=f32,ne_a=[72,1024,1,1],ne_b=[9,1024,1,1]","support","1","yes","SYCL" +"SYCL0","SSM_CONV","type=f32,ne_a=[72,1024,4,1],ne_b=[9,1024,1,1]","support","1","yes","SYCL" "SYCL0","SSM_CONV","type=f32,ne_a=[9,1536,1,1],ne_b=[9,1536,1,1]","support","1","yes","SYCL" "SYCL0","SSM_CONV","type=f32,ne_a=[18,1536,1,1],ne_b=[9,1536,1,1]","support","1","yes","SYCL" "SYCL0","SSM_CONV","type=f32,ne_a=[9,1536,4,1],ne_b=[9,1536,1,1]","support","1","yes","SYCL" +"SYCL0","SSM_CONV","type=f32,ne_a=[72,1536,1,1],ne_b=[9,1536,1,1]","support","1","yes","SYCL" +"SYCL0","SSM_CONV","type=f32,ne_a=[72,1536,4,1],ne_b=[9,1536,1,1]","support","1","yes","SYCL" "SYCL0","SSM_CONV","type=f32,ne_a=[9,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","SYCL" "SYCL0","SSM_CONV","type=f32,ne_a=[18,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","SYCL" "SYCL0","SSM_CONV","type=f32,ne_a=[9,2048,4,1],ne_b=[9,2048,1,1]","support","1","yes","SYCL" +"SYCL0","SSM_CONV","type=f32,ne_a=[72,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","SYCL" +"SYCL0","SSM_CONV","type=f32,ne_a=[72,2048,4,1],ne_b=[9,2048,1,1]","support","1","yes","SYCL" "SYCL0","SSM_SCAN","type=f32,d_state=16,head_dim=1,n_head=1024,n_group=1,n_seq_tokens=32,n_seqs=4","support","0","no","SYCL" "SYCL0","SSM_SCAN","type=f32,d_state=128,head_dim=64,n_head=16,n_group=2,n_seq_tokens=32,n_seqs=4","support","0","no","SYCL" "SYCL0","SSM_SCAN","type=f32,d_state=256,head_dim=64,n_head=8,n_group=2,n_seq_tokens=32,n_seqs=4","support","0","no","SYCL" @@ -6698,6 +6880,7 @@ "SYCL0","MUL_MAT","type_a=iq4_nl,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq3_s,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=iq4_xs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=q8_0,type_b=f32,m=6,n=4096,k=5120,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","SYCL" @@ -8760,32 +8943,39 @@ "SYCL0","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=4,n_token=1","support","1","yes","SYCL" "SYCL0","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=4,n_token=32","support","1","yes","SYCL" "SYCL0","ADD_ID","type_a=f32,type_b=f32,n_embd=129,n_experts=8,n_experts_used=4,n_token=129","support","1","yes","SYCL" -"SYCL0","SQR","type=f16,ne=[10,5,4,3]","support","1","yes","SYCL" -"SYCL0","SQRT","type=f16,ne=[10,3,3,2]","support","1","yes","SYCL" -"SYCL0","LOG","type=f16,ne=[10,5,4,3]","support","1","yes","SYCL" -"SYCL0","SIN","type=f16,ne=[10,2,2,2]","support","1","yes","SYCL" -"SYCL0","COS","type=f16,ne=[10,2,2,2]","support","1","yes","SYCL" -"SYCL0","CLAMP","type=f16,ne=[10,5,4,3],min=-0.500000,max=0.500000","support","1","yes","SYCL" +"SYCL0","SQR","type=f16,ne=[10,5,4,3]","support","0","no","SYCL" +"SYCL0","SQRT","type=f16,ne=[10,3,3,2]","support","0","no","SYCL" +"SYCL0","LOG","type=f16,ne=[10,5,4,3]","support","0","no","SYCL" +"SYCL0","SIN","type=f16,ne=[10,2,2,2]","support","0","no","SYCL" +"SYCL0","COS","type=f16,ne=[10,2,2,2]","support","0","no","SYCL" +"SYCL0","CLAMP","type=f16,ne=[10,5,4,3],min=-0.500000,max=0.500000","support","0","no","SYCL" "SYCL0","LEAKY_RELU","type=f16,ne_a=[10,5,4,3],negative_slope=0.100000","support","1","yes","SYCL" -"SYCL0","FLOOR","type=f16,ne=[10,2,2,2]","support","1","yes","SYCL" +"SYCL0","FLOOR","type=f16,ne=[10,2,2,2]","support","0","no","SYCL" "SYCL0","CEIL","type=f16,ne=[10,2,2,2]","support","1","yes","SYCL" -"SYCL0","ROUND","type=f16,ne=[10,2,2,2]","support","1","yes","SYCL" -"SYCL0","TRUNC","type=f16,ne=[10,2,2,2]","support","1","yes","SYCL" -"SYCL0","SQR","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL" -"SYCL0","SQRT","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL" -"SYCL0","LOG","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL" -"SYCL0","SIN","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL" -"SYCL0","COS","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL" -"SYCL0","CLAMP","type=f16,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","1","yes","SYCL" +"SYCL0","ROUND","type=f16,ne=[10,2,2,2]","support","0","no","SYCL" +"SYCL0","TRUNC","type=f16,ne=[10,2,2,2]","support","0","no","SYCL" +"SYCL0","SQR","type=f16,ne=[7,1,5,3]","support","0","no","SYCL" +"SYCL0","SQR","type=f16,ne=[1024,1024,1,1]","support","0","no","SYCL" +"SYCL0","SQRT","type=f16,ne=[7,1,5,3]","support","0","no","SYCL" +"SYCL0","SQRT","type=f16,ne=[1024,1024,1,1]","support","0","no","SYCL" +"SYCL0","LOG","type=f16,ne=[7,1,5,3]","support","0","no","SYCL" +"SYCL0","LOG","type=f16,ne=[1024,1024,1,1]","support","0","no","SYCL" +"SYCL0","SIN","type=f16,ne=[7,1,5,3]","support","0","no","SYCL" +"SYCL0","SIN","type=f16,ne=[1024,1024,1,1]","support","0","no","SYCL" +"SYCL0","COS","type=f16,ne=[7,1,5,3]","support","0","no","SYCL" +"SYCL0","COS","type=f16,ne=[1024,1024,1,1]","support","0","no","SYCL" +"SYCL0","CLAMP","type=f16,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","0","no","SYCL" +"SYCL0","CLAMP","type=f16,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","0","no","SYCL" "SYCL0","LEAKY_RELU","type=f16,ne_a=[7,1,5,3],negative_slope=0.100000","support","1","yes","SYCL" -"SYCL0","FLOOR","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL" -"SYCL0","FLOOR","type=f16,ne=[1024,1024,1,1]","support","1","yes","SYCL" +"SYCL0","LEAKY_RELU","type=f16,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","1","yes","SYCL" +"SYCL0","FLOOR","type=f16,ne=[7,1,5,3]","support","0","no","SYCL" +"SYCL0","FLOOR","type=f16,ne=[1024,1024,1,1]","support","0","no","SYCL" "SYCL0","CEIL","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL" "SYCL0","CEIL","type=f16,ne=[1024,1024,1,1]","support","1","yes","SYCL" -"SYCL0","ROUND","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL" -"SYCL0","ROUND","type=f16,ne=[1024,1024,1,1]","support","1","yes","SYCL" -"SYCL0","TRUNC","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL" -"SYCL0","TRUNC","type=f16,ne=[1024,1024,1,1]","support","1","yes","SYCL" +"SYCL0","ROUND","type=f16,ne=[7,1,5,3]","support","0","no","SYCL" +"SYCL0","ROUND","type=f16,ne=[1024,1024,1,1]","support","0","no","SYCL" +"SYCL0","TRUNC","type=f16,ne=[7,1,5,3]","support","0","no","SYCL" +"SYCL0","TRUNC","type=f16,ne=[1024,1024,1,1]","support","0","no","SYCL" "SYCL0","SQR","type=f32,ne=[10,5,4,3]","support","1","yes","SYCL" "SYCL0","SQRT","type=f32,ne=[10,3,3,2]","support","1","yes","SYCL" "SYCL0","LOG","type=f32,ne=[10,5,4,3]","support","1","yes","SYCL" @@ -8798,12 +8988,19 @@ "SYCL0","ROUND","type=f32,ne=[10,2,2,2]","support","1","yes","SYCL" "SYCL0","TRUNC","type=f32,ne=[10,2,2,2]","support","1","yes","SYCL" "SYCL0","SQR","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL" +"SYCL0","SQR","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL" "SYCL0","SQRT","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL" +"SYCL0","SQRT","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL" "SYCL0","LOG","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL" +"SYCL0","LOG","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL" "SYCL0","SIN","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL" +"SYCL0","SIN","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL" "SYCL0","COS","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL" +"SYCL0","COS","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL" "SYCL0","CLAMP","type=f32,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","1","yes","SYCL" +"SYCL0","CLAMP","type=f32,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","1","yes","SYCL" "SYCL0","LEAKY_RELU","type=f32,ne_a=[7,1,5,3],negative_slope=0.100000","support","1","yes","SYCL" +"SYCL0","LEAKY_RELU","type=f32,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","1","yes","SYCL" "SYCL0","FLOOR","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL" "SYCL0","FLOOR","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL" "SYCL0","CEIL","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL" @@ -9303,254 +9500,294 @@ "SYCL0","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=0","support","1","yes","SYCL" "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL" "SYCL0","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" 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-"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","0","no","SYCL" 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-"SYCL0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL" -"SYCL0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","0","no","SYCL" 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+"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","SYCL" "SYCL0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","SYCL" "SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","SYCL" @@ -9986,49 +10223,60 @@ "SYCL0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=nearest,transpose=1","support","1","yes","SYCL" "SYCL0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=nearest","support","1","yes","SYCL" "SYCL0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=nearest","support","1","yes","SYCL" -"SYCL0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear,transpose=0","support","0","no","SYCL" -"SYCL0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear,transpose=1","support","0","no","SYCL" -"SYCL0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear","support","0","no","SYCL" -"SYCL0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear","support","0","no","SYCL" -"SYCL0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bicubic,transpose=0","support","0","no","SYCL" -"SYCL0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bicubic,transpose=1","support","0","no","SYCL" -"SYCL0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic","support","0","no","SYCL" -"SYCL0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bicubic","support","0","no","SYCL" -"SYCL0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear|antialias,transpose=0","support","0","no","SYCL" -"SYCL0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear|antialias,transpose=1","support","0","no","SYCL" -"SYCL0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear|antialias","support","0","no","SYCL" -"SYCL0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear|antialias","support","0","no","SYCL" -"SYCL0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear|align_corners","support","0","no","SYCL" -"SYCL0","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bilinear|align_corners","support","0","no","SYCL" -"SYCL0","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bilinear|align_corners","support","0","no","SYCL" -"SYCL0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic|align_corners","support","0","no","SYCL" -"SYCL0","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bicubic|align_corners","support","0","no","SYCL" -"SYCL0","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bicubic|align_corners","support","0","no","SYCL" +"SYCL0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear,transpose=0","support","1","yes","SYCL" +"SYCL0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear,transpose=1","support","1","yes","SYCL" +"SYCL0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear","support","1","yes","SYCL" +"SYCL0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear","support","1","yes","SYCL" +"SYCL0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bicubic,transpose=0","support","1","yes","SYCL" +"SYCL0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bicubic,transpose=1","support","1","yes","SYCL" +"SYCL0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic","support","1","yes","SYCL" +"SYCL0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bicubic","support","1","yes","SYCL" +"SYCL0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear|antialias,transpose=0","support","1","yes","SYCL" +"SYCL0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear|antialias,transpose=1","support","1","yes","SYCL" +"SYCL0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear|antialias","support","1","yes","SYCL" +"SYCL0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear|antialias","support","1","yes","SYCL" +"SYCL0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear|align_corners","support","1","yes","SYCL" +"SYCL0","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bilinear|align_corners","support","1","yes","SYCL" +"SYCL0","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bilinear|align_corners","support","1","yes","SYCL" +"SYCL0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic|align_corners","support","1","yes","SYCL" +"SYCL0","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bicubic|align_corners","support","1","yes","SYCL" +"SYCL0","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bicubic|align_corners","support","1","yes","SYCL" "SYCL0","SUM","type=f32,ne=[10,5,4,3]","support","1","yes","SYCL" -"SYCL0","SUM_ROWS","type=f32,ne=[10,5,4,3],permute=0,slice=0","support","1","yes","SYCL" "SYCL0","SUM","type=f32,ne=[11,5,6,3],permute=[0,2,1,3]","support","0","no","SYCL" "SYCL0","SUM","type=f32,ne=[11,5,6,3],permute=[0,3,2,1]","support","0","no","SYCL" "SYCL0","SUM","type=f32,ne=[11,5,6,3],permute=[0,1,3,2]","support","0","no","SYCL" +"SYCL0","MEAN","type=f32,ne=[10,5,4,3]","support","1","yes","SYCL" +"SYCL0","MEAN","type=f32,ne=[33,1,1,1]","support","1","yes","SYCL" +"SYCL0","MEAN","type=f32,ne=[33,256,1,1]","support","1","yes","SYCL" +"SYCL0","MEAN","type=f32,ne=[32769,1,1,1]","support","1","yes","SYCL" +"SYCL0","MEAN","type=f32,ne=[32,1,1,1]","support","1","yes","SYCL" +"SYCL0","MEAN","type=f32,ne=[32,256,1,1]","support","1","yes","SYCL" +"SYCL0","MEAN","type=f32,ne=[32768,1,1,1]","support","1","yes","SYCL" +"SYCL0","SUM","type=f32,ne=[33,1,1,1]","support","1","yes","SYCL" +"SYCL0","SUM","type=f32,ne=[33,1024,1,1]","support","1","yes","SYCL" +"SYCL0","SUM","type=f32,ne=[33,256,1,1]","support","1","yes","SYCL" +"SYCL0","SUM","type=f32,ne=[33,256,1,1],permute=[1,0,2,3]","support","0","no","SYCL" +"SYCL0","SUM_ROWS","type=f32,ne=[10,5,4,3],permute=0,slice=0","support","1","yes","SYCL" "SYCL0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=0","support","0","no","SYCL" "SYCL0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=0,slice=1","support","0","no","SYCL" "SYCL0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=1","support","0","no","SYCL" -"SYCL0","MEAN","type=f32,ne=[10,5,4,3]","support","1","yes","SYCL" -"SYCL0","SUM","type=f32,ne=[33,1,1,1]","support","1","yes","SYCL" +"SYCL0","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=1,slice=0","support","0","no","SYCL" +"SYCL0","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=0,slice=1","support","0","no","SYCL" +"SYCL0","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=1,slice=1","support","0","no","SYCL" "SYCL0","SUM_ROWS","type=f32,ne=[33,1,1,1],permute=0,slice=0","support","1","yes","SYCL" -"SYCL0","MEAN","type=f32,ne=[33,1,1,1]","support","1","yes","SYCL" -"SYCL0","SUM","type=f32,ne=[33,1024,1,1]","support","1","yes","SYCL" "SYCL0","SUM_ROWS","type=f32,ne=[33,1024,1,1],permute=0,slice=0","support","1","yes","SYCL" -"SYCL0","SUM","type=f32,ne=[33,256,1,1]","support","1","yes","SYCL" -"SYCL0","SUM","type=f32,ne=[33,256,1,1],permute=[1,0,2,3]","support","0","no","SYCL" "SYCL0","SUM_ROWS","type=f32,ne=[33,256,1,1],permute=0,slice=0","support","1","yes","SYCL" -"SYCL0","MEAN","type=f32,ne=[33,256,1,1]","support","1","yes","SYCL" -"SYCL0","MEAN","type=f32,ne=[32769,1,1,1]","support","1","yes","SYCL" "SYCL0","GROUP_NORM","type=f32,ne=[64,64,320,1],num_groups=32,eps=0.000001","support","1","yes","SYCL" "SYCL0","GROUP_NORM","type=f32,ne=[9,9,1280,1],num_groups=32,eps=0.000001","support","1","yes","SYCL" -"SYCL0","ACC","type=f32,ne_a=[256,17,1,1],ne_b=[256,16,1,1]","support","1","yes","SYCL" +"SYCL0","ACC","type=f32,ne_a=[256,17,1,1],ne_b=[256,16,1,1],stride_dim=-1","support","1","yes","SYCL" +"SYCL0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[256,16,2,3],stride_dim=-1","support","1","yes","SYCL" +"SYCL0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[128,16,2,3],stride_dim=-1","support","1","yes","SYCL" +"SYCL0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[256,16,2,3],stride_dim=1","support","0","no","SYCL" +"SYCL0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[128,16,2,3],stride_dim=2","support","0","no","SYCL" +"SYCL0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[64,16,2,3],stride_dim=3","support","1","yes","SYCL" "SYCL0","PAD","type=f32,ne_a=[512,512,1,1],pad_0=1,pad_1=1,circular=0","support","1","yes","SYCL" "SYCL0","PAD","type=f32,ne_a=[33,17,2,1],pad_0=4,pad_1=3,circular=1","support","0","no","SYCL" -"SYCL0","PAD","type=f32,ne_a=[512,512,3,1],lp0=1,rp0=1,lp1=1,rp1=1,lp2=1,rp2=1,lp3=1,rp3=1,v=0,circular=0","support","1","yes","SYCL" +"SYCL0","PAD","type=f32,ne_a=[512,512,3,1],lp0=1,rp0=1,lp1=1,rp1=1,lp2=1,rp2=1,lp3=1,rp3=1,tfrm=0,circular=0","support","1","yes","SYCL" "SYCL0","PAD_REFLECT_1D","type=f32,ne_a=[512,34,2,1],pad_0=10,pad_1=9","support","1","yes","SYCL" "SYCL0","PAD_REFLECT_1D","type=f32,ne_a=[3000,384,4,1],pad_0=10,pad_1=9","support","1","yes","SYCL" "SYCL0","ROLL","shift0=3,shift1=-2,shift3=1,shift4=-1","support","1","yes","SYCL" @@ -10087,8817 +10335,3543 @@ "SYCL0","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,1],ne_rhs=[32,128,4,1]","support","0","no","SYCL" "SYCL0","SOLVE_TRI","type=f32,ne_lhs=[64,64,4,4],ne_rhs=[200,64,4,4]","support","0","no","SYCL" "SYCL0","SOLVE_TRI","type=f32,ne_lhs=[64,64,4,4],ne_rhs=[384,64,4,4]","support","0","no","SYCL" -"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=0,circular=0","support","1","yes","SYCL" -"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=0,circular=0","support","1","yes","SYCL" -"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=0,circular=1","support","0","no","SYCL" -"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=0,circular=1","support","0","no","SYCL" -"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=1,circular=0","support","0","no","SYCL" -"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=1,circular=0","support","0","no","SYCL" -"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=1,circular=1","support","0","no","SYCL" -"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=1,circular=1","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" +"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" +"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" +"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" +"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" +"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" +"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" +"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" +"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" +"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","CROSS_ENTROPY_LOSS","type=f32,ne=[10,5,4,3]","support","0","no","SYCL" "SYCL0","CROSS_ENTROPY_LOSS","type=f32,ne=[30000,1,1,1]","support","0","no","SYCL" "SYCL0","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[10,5,4,3]","support","0","no","SYCL" "SYCL0","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[30000,1,1,1]","support","0","no","SYCL" "SYCL0","OPT_STEP_ADAMW","type=f32,ne=[10,5,4,3]","support","0","no","SYCL" "SYCL0","OPT_STEP_SGD","type=f32,ne=[10,5,4,3]","support","0","no","SYCL" 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+"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=32,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","1","yes","SYCL" +"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","1","yes","SYCL" +"SYCL0","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=1","support","1","yes","SYCL" +"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=1","support","1","yes","SYCL" +"SYCL0","GATED_DELTA_NET","type=f32,head_count=4,head_size=16,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=1","support","1","yes","SYCL" diff --git a/docs/ops/Vulkan.csv b/docs/ops/Vulkan.csv index d284fcb0f8..e693154968 100644 --- a/docs/ops/Vulkan.csv +++ b/docs/ops/Vulkan.csv @@ -1,16 +1,16 @@ "backend_name","op_name","op_params","test_mode","supported","error_message","backend_reg_name" "Vulkan0","ABS","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" "Vulkan0","ABS","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" -"Vulkan0","SGN","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Vulkan" -"Vulkan0","SGN","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Vulkan" +"Vulkan0","SGN","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" +"Vulkan0","SGN","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","NEG","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" "Vulkan0","NEG","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","STEP","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" "Vulkan0","STEP","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","TANH","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" "Vulkan0","TANH","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" -"Vulkan0","ELU","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Vulkan" -"Vulkan0","ELU","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Vulkan" +"Vulkan0","ELU","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" +"Vulkan0","ELU","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","RELU","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" "Vulkan0","RELU","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","SIGMOID","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" @@ -85,16 +85,16 @@ "Vulkan0","TRUNC","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Vulkan" "Vulkan0","ABS","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" "Vulkan0","ABS","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" -"Vulkan0","SGN","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","Vulkan" -"Vulkan0","SGN","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","Vulkan" +"Vulkan0","SGN","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" +"Vulkan0","SGN","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","NEG","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" "Vulkan0","NEG","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","STEP","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" "Vulkan0","STEP","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","TANH","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" "Vulkan0","TANH","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" -"Vulkan0","ELU","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","Vulkan" -"Vulkan0","ELU","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","Vulkan" +"Vulkan0","ELU","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" +"Vulkan0","ELU","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","RELU","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" "Vulkan0","RELU","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","SIGMOID","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" @@ -394,10 +394,10 @@ "Vulkan0","GET_ROWS","type=iq4_xs,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Vulkan" "Vulkan0","GET_ROWS","type=iq4_xs,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Vulkan" "Vulkan0","GET_ROWS","type=iq4_xs,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Vulkan" -"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=1,be2=1,v=0","support","0","no","Vulkan" -"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","Vulkan" -"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","Vulkan" -"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=7,be2=1,v=1","support","0","no","Vulkan" +"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Vulkan" +"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Vulkan" +"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Vulkan" +"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Vulkan" "Vulkan0","GET_ROWS_BACK","type=f32,n=1,m=8,r=2,b=1,v=0","support","0","no","Vulkan" "Vulkan0","GET_ROWS_BACK","type=f32,n=256,m=5,r=4,b=1,v=0","support","0","no","Vulkan" "Vulkan0","GET_ROWS_BACK","type=f32,n=256,m=5,r=4,b=1,v=1","support","0","no","Vulkan" @@ -878,6 +878,54 @@ "Vulkan0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=0,p1=1","support","1","yes","Vulkan" "Vulkan0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=0","support","1","yes","Vulkan" "Vulkan0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=1","support","1","yes","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=1","support","0","no","Vulkan" "Vulkan0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Vulkan" "Vulkan0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Vulkan" "Vulkan0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Vulkan" @@ -965,6 +1013,7 @@ "Vulkan0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,1,2560],ne_kernel=[3,3,1,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Vulkan" "Vulkan0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,2560],ne_kernel=[3,3,2,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Vulkan" "Vulkan0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[5,5,1,32],ne_kernel=[3,4,1,32],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Vulkan" +"Vulkan0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[2,2,1536,729],ne_kernel=[2,2,1536,4096],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Vulkan" "Vulkan0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","Vulkan" "Vulkan0","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","Vulkan" "Vulkan0","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","Vulkan" @@ -4964,6 +5013,7 @@ "Vulkan0","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Vulkan" "Vulkan0","CONV_TRANSPOSE_2D","ne_input=[3,2,3,1],ne_kernel=[2,2,1,3],stride=1","support","1","yes","Vulkan" "Vulkan0","CONV_TRANSPOSE_2D","ne_input=[10,10,9,1],ne_kernel=[3,3,1,9],stride=2","support","1","yes","Vulkan" +"Vulkan0","CONV_TRANSPOSE_2D","ne_input=[129,63,35,1],ne_kernel=[3,3,48,35],stride=1","support","1","yes","Vulkan" "Vulkan0","COUNT_EQUAL","type=f32,ne=[4,500,1,1]","support","1","yes","Vulkan" "Vulkan0","COUNT_EQUAL","type=f32,ne=[4,5000,1,1]","support","1","yes","Vulkan" "Vulkan0","ARGMAX","type=f32,ne=[32,1,1,1]","support","1","yes","Vulkan" @@ -5007,12 +5057,18 @@ "Vulkan0","DUP","type=f16,ne=[10,10,5,1],permute=[1,0,2,3]","support","1","yes","Vulkan" "Vulkan0","DUP","type=i16,ne=[10,8,3,1],permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","DUP","type=i16,ne=[10,8,3,1],permute=[1,2,0,3]","support","1","yes","Vulkan" -"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1","support","0","no","Vulkan" -"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2","support","0","no","Vulkan" -"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3","support","0","no","Vulkan" -"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1","support","0","no","Vulkan" -"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2","support","0","no","Vulkan" -"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3","support","0","no","Vulkan" +"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=1","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=1","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=1","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=1","support","1","yes","Vulkan" "Vulkan0","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Vulkan" "Vulkan0","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Vulkan" "Vulkan0","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Vulkan" @@ -5458,230 +5514,366 @@ "Vulkan0","CONT","type=bf16,ne=[1,4,4,1],use_view_slice=0","support","1","yes","Vulkan" "Vulkan0","CONT","type=bf16,ne=[1,8,17,1],use_view_slice=0","support","1","yes","Vulkan" "Vulkan0","CONT","type=bf16,ne=[10,10,10,1],use_view_slice=0","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" 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+"Vulkan0","MUL","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" "Vulkan0","ADD1","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan" "Vulkan0","ADD1","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=0.000000,inplace=0","support","1","yes","Vulkan" @@ -5694,45 +5886,103 @@ "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000","support","0","no","Vulkan" "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000,inplace=0","support","1","yes","Vulkan" "Vulkan0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000000","support","1","yes","Vulkan" -"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000000,v=0","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000000,v=1","support","1","yes","Vulkan" +"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000000","support","1","yes","Vulkan" +"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000000,inplace=0","support","1","yes","Vulkan" +"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000000","support","0","no","Vulkan" +"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000000,inplace=0","support","1","yes","Vulkan" +"Vulkan0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.000000","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000000,v=0","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000000,v=1","support","1","yes","Vulkan" "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001","support","1","yes","Vulkan" "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001,inplace=0","support","1","yes","Vulkan" "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000001","support","0","no","Vulkan" "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000001,inplace=0","support","1","yes","Vulkan" "Vulkan0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000001","support","1","yes","Vulkan" -"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000001,v=0","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000001,v=1","support","1","yes","Vulkan" +"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000001","support","1","yes","Vulkan" +"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000001,inplace=0","support","1","yes","Vulkan" +"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000001","support","0","no","Vulkan" +"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000001,inplace=0","support","1","yes","Vulkan" +"Vulkan0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.000001","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000001,v=0","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000001,v=1","support","1","yes","Vulkan" "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000100","support","1","yes","Vulkan" "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000100,inplace=0","support","1","yes","Vulkan" "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000100","support","0","no","Vulkan" "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000100,inplace=0","support","1","yes","Vulkan" "Vulkan0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000100","support","1","yes","Vulkan" -"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000100,v=0","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000100,v=1","support","1","yes","Vulkan" +"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000100","support","1","yes","Vulkan" +"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000100,inplace=0","support","1","yes","Vulkan" +"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000100","support","0","no","Vulkan" +"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000100,inplace=0","support","1","yes","Vulkan" +"Vulkan0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.000100","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000100,v=0","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000100,v=1","support","1","yes","Vulkan" "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.100000","support","1","yes","Vulkan" "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.100000,inplace=0","support","1","yes","Vulkan" "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.100000","support","0","no","Vulkan" "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.100000,inplace=0","support","1","yes","Vulkan" "Vulkan0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.100000","support","1","yes","Vulkan" -"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.100000,v=0","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.100000,v=1","support","1","yes","Vulkan" +"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.100000","support","1","yes","Vulkan" +"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.100000,inplace=0","support","1","yes","Vulkan" +"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.100000","support","0","no","Vulkan" +"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.100000,inplace=0","support","1","yes","Vulkan" +"Vulkan0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.100000","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.100000,v=0","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.100000,v=1","support","1","yes","Vulkan" "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001,inplace=1","support","1","yes","Vulkan" -"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Vulkan" -"Vulkan0","SSM_CONV","type=f32,ne_a=[4,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan" -"Vulkan0","SSM_CONV","type=f32,ne_a=[8,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan" -"Vulkan0","SSM_CONV","type=f32,ne_a=[4,1024,4,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan" -"Vulkan0","SSM_CONV","type=f32,ne_a=[4,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan" -"Vulkan0","SSM_CONV","type=f32,ne_a=[8,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan" -"Vulkan0","SSM_CONV","type=f32,ne_a=[4,1536,4,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan" -"Vulkan0","SSM_CONV","type=f32,ne_a=[4,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan" -"Vulkan0","SSM_CONV","type=f32,ne_a=[8,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan" -"Vulkan0","SSM_CONV","type=f32,ne_a=[4,2048,4,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[3,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[6,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[3,1024,4,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[66,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[66,1024,4,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[3,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[6,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[3,1536,4,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[66,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[66,1536,4,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[3,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[6,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[3,2048,4,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[66,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[66,2048,4,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_CONV","type=f32,ne_a=[4,1024,1,1],ne_b=[4,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_CONV","type=f32,ne_a=[8,1024,1,1],ne_b=[4,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_CONV","type=f32,ne_a=[4,1024,4,1],ne_b=[4,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[67,1024,1,1],ne_b=[4,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[67,1024,4,1],ne_b=[4,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_CONV","type=f32,ne_a=[4,1536,1,1],ne_b=[4,1536,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_CONV","type=f32,ne_a=[8,1536,1,1],ne_b=[4,1536,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_CONV","type=f32,ne_a=[4,1536,4,1],ne_b=[4,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[67,1536,1,1],ne_b=[4,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[67,1536,4,1],ne_b=[4,1536,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_CONV","type=f32,ne_a=[4,2048,1,1],ne_b=[4,2048,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_CONV","type=f32,ne_a=[8,2048,1,1],ne_b=[4,2048,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_CONV","type=f32,ne_a=[4,2048,4,1],ne_b=[4,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[67,2048,1,1],ne_b=[4,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[67,2048,4,1],ne_b=[4,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[9,1024,1,1],ne_b=[9,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[18,1024,1,1],ne_b=[9,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[9,1024,4,1],ne_b=[9,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[72,1024,1,1],ne_b=[9,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[72,1024,4,1],ne_b=[9,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[9,1536,1,1],ne_b=[9,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[18,1536,1,1],ne_b=[9,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[9,1536,4,1],ne_b=[9,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[72,1536,1,1],ne_b=[9,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[72,1536,4,1],ne_b=[9,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[9,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[18,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[9,2048,4,1],ne_b=[9,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[72,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[72,2048,4,1],ne_b=[9,2048,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_SCAN","type=f32,d_state=16,head_dim=1,n_head=1024,n_group=1,n_seq_tokens=32,n_seqs=4","support","0","no","Vulkan" "Vulkan0","SSM_SCAN","type=f32,d_state=128,head_dim=64,n_head=16,n_group=2,n_seq_tokens=32,n_seqs=4","support","1","yes","Vulkan" "Vulkan0","SSM_SCAN","type=f32,d_state=256,head_dim=64,n_head=8,n_group=2,n_seq_tokens=32,n_seqs=4","support","1","yes","Vulkan" @@ -6591,7 +6841,36 @@ "Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=193,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Vulkan" "Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=67,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Vulkan" "Vulkan0","MUL_MAT","type_a=f32,type_b=f32,m=64,n=77,k=77,bs=[12,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=1,k=3,bs=[128,1024],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=3,k=4,bs=[128,1024],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=1,k=3,bs=[131072,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=1,k=3,bs=[131072,1],nr=[1,1],per=[0,1,2,3],k_v=64,o=1","support","1","yes","Vulkan" "Vulkan0","MUL_MAT","type_a=q4_0,type_b=f32,m=576,n=512,k=576,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q4_0,type_b=f32,m=1,n=2048,k=8192,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=f32,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=bf16,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q4_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q4_1,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q5_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q5_1,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q8_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=mxfp4,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q2_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q3_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q4_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q5_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q6_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=iq2_xs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=iq2_s,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=iq1_s,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=iq1_m,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=iq4_nl,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=iq3_s,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=iq4_xs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q8_0,type_b=f32,m=6,n=4096,k=5120,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" "Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Vulkan" "Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Vulkan" "Vulkan0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Vulkan" @@ -8666,12 +8945,19 @@ "Vulkan0","ROUND","type=f16,ne=[10,2,2,2]","support","1","yes","Vulkan" "Vulkan0","TRUNC","type=f16,ne=[10,2,2,2]","support","1","yes","Vulkan" "Vulkan0","SQR","type=f16,ne=[7,1,5,3]","support","0","no","Vulkan" +"Vulkan0","SQR","type=f16,ne=[1024,1024,1,1]","support","0","no","Vulkan" "Vulkan0","SQRT","type=f16,ne=[7,1,5,3]","support","0","no","Vulkan" +"Vulkan0","SQRT","type=f16,ne=[1024,1024,1,1]","support","0","no","Vulkan" "Vulkan0","LOG","type=f16,ne=[7,1,5,3]","support","1","yes","Vulkan" +"Vulkan0","LOG","type=f16,ne=[1024,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","SIN","type=f16,ne=[7,1,5,3]","support","0","no","Vulkan" +"Vulkan0","SIN","type=f16,ne=[1024,1024,1,1]","support","0","no","Vulkan" "Vulkan0","COS","type=f16,ne=[7,1,5,3]","support","0","no","Vulkan" +"Vulkan0","COS","type=f16,ne=[1024,1024,1,1]","support","0","no","Vulkan" "Vulkan0","CLAMP","type=f16,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","0","no","Vulkan" +"Vulkan0","CLAMP","type=f16,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","0","no","Vulkan" "Vulkan0","LEAKY_RELU","type=f16,ne_a=[7,1,5,3],negative_slope=0.100000","support","0","no","Vulkan" +"Vulkan0","LEAKY_RELU","type=f16,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","0","no","Vulkan" "Vulkan0","FLOOR","type=f16,ne=[7,1,5,3]","support","1","yes","Vulkan" "Vulkan0","FLOOR","type=f16,ne=[1024,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","CEIL","type=f16,ne=[7,1,5,3]","support","1","yes","Vulkan" @@ -8692,12 +8978,19 @@ "Vulkan0","ROUND","type=f32,ne=[10,2,2,2]","support","1","yes","Vulkan" "Vulkan0","TRUNC","type=f32,ne=[10,2,2,2]","support","1","yes","Vulkan" "Vulkan0","SQR","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan" +"Vulkan0","SQR","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","SQRT","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan" +"Vulkan0","SQRT","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","LOG","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan" +"Vulkan0","LOG","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","SIN","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan" +"Vulkan0","SIN","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","COS","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan" +"Vulkan0","COS","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","CLAMP","type=f32,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","1","yes","Vulkan" +"Vulkan0","CLAMP","type=f32,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","1","yes","Vulkan" "Vulkan0","LEAKY_RELU","type=f32,ne_a=[7,1,5,3],negative_slope=0.100000","support","1","yes","Vulkan" +"Vulkan0","LEAKY_RELU","type=f32,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","1","yes","Vulkan" "Vulkan0","FLOOR","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan" "Vulkan0","FLOOR","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","CEIL","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan" @@ -8916,6 +9209,11 @@ "Vulkan0","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Vulkan" "Vulkan0","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Vulkan" "Vulkan0","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SOFT_MAX","type=f32,ne=[200001,2,3,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SOFT_MAX","type=f32,ne=[200001,2,3,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SOFT_MAX","type=f32,ne=[200000,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SOFT_MAX","type=f32,ne=[200000,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SOFT_MAX","type=f32,ne=[643251,3,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Vulkan" "Vulkan0","SOFT_MAX_BACK","type=f32,ne=[16,16,1,1],scale=1.000000,max_bias=0.000000","support","1","yes","Vulkan" "Vulkan0","SOFT_MAX_BACK","type=f32,ne=[15,15,1,1],scale=1.000000,max_bias=0.000000","support","1","yes","Vulkan" "Vulkan0","SOFT_MAX_BACK","type=f32,ne=[16,16,2,3],scale=1.000000,max_bias=0.000000","support","1","yes","Vulkan" @@ -8968,6 +9266,7 @@ "Vulkan0","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" @@ -8977,6 +9276,7 @@ "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" @@ -8987,11 +9287,13 @@ "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" @@ -9001,6 +9303,7 @@ "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" @@ -9011,11 +9314,13 @@ "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" @@ -9025,6 +9330,7 @@ "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" @@ -9035,11 +9341,13 @@ "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" @@ -9049,6 +9357,7 @@ "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" @@ -9059,6 +9368,7 @@ "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" @@ -9184,6 +9494,7 @@ "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" @@ -9193,6 +9504,7 @@ "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" @@ -9203,11 +9515,13 @@ "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" @@ -9217,6 +9531,7 @@ "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" @@ -9227,11 +9542,13 @@ "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" @@ -9241,6 +9558,7 @@ "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" @@ -9251,11 +9569,13 @@ "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" @@ -9265,6 +9585,7 @@ "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" @@ -9275,6 +9596,7 @@ "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" @@ -9397,25 +9719,65 @@ "Vulkan0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","Vulkan" "Vulkan0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","Vulkan" "Vulkan0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","Vulkan" @@ -9542,357 +9904,369 @@ "Vulkan0","ARGSORT","type=f32,ne=[2048,2,1,3],order=1","support","1","yes","Vulkan" "Vulkan0","ARGSORT","type=f32,ne=[2049,2,1,3],order=1","support","1","yes","Vulkan" "Vulkan0","ARGSORT","type=f32,ne=[2,8,8192,1],order=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[12,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[13,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[13,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[15,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[15,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[15,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[8,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[19,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[8,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[19,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[8,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[19,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[8,1,1,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[19,1,2,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=500","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=500","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=500","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=500","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=1023","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=1023","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=500","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=500","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=1023","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=1023","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=500","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=500","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4096,1,1,1],k=1023","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4107,1,2,1],k=1023","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[8203,1,2,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[8192,1,1,1],k=100","support","1","yes","Vulkan" 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-"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear,flags=none","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear","support","1","yes","Vulkan" "Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bicubic,transpose=0","support","1","yes","Vulkan" "Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bicubic,transpose=1","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic,flags=none","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bicubic,flags=none","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=513,transpose=0","support","0","no","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=513,transpose=1","support","0","no","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear,flags=none","support","0","no","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear,flags=none","support","0","no","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear,flags=align_corners","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bilinear,flags=align_corners","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bilinear,flags=align_corners","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic,flags=align_corners","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bicubic,flags=align_corners","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bicubic,flags=align_corners","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bicubic","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear|antialias,transpose=0","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear|antialias,transpose=1","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear|antialias","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear|antialias","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear|align_corners","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bilinear|align_corners","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bilinear|align_corners","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic|align_corners","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bicubic|align_corners","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bicubic|align_corners","support","1","yes","Vulkan" "Vulkan0","SUM","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan" -"Vulkan0","SUM_ROWS","type=f32,ne=[10,5,4,3],permute=0,slice=0","support","1","yes","Vulkan" "Vulkan0","SUM","type=f32,ne=[11,5,6,3],permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","SUM","type=f32,ne=[11,5,6,3],permute=[0,3,2,1]","support","1","yes","Vulkan" "Vulkan0","SUM","type=f32,ne=[11,5,6,3],permute=[0,1,3,2]","support","1","yes","Vulkan" +"Vulkan0","MEAN","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan" +"Vulkan0","MEAN","type=f32,ne=[33,1,1,1]","support","1","yes","Vulkan" +"Vulkan0","MEAN","type=f32,ne=[33,256,1,1]","support","1","yes","Vulkan" +"Vulkan0","MEAN","type=f32,ne=[32769,1,1,1]","support","1","yes","Vulkan" +"Vulkan0","MEAN","type=f32,ne=[32,1,1,1]","support","1","yes","Vulkan" +"Vulkan0","MEAN","type=f32,ne=[32,256,1,1]","support","1","yes","Vulkan" +"Vulkan0","MEAN","type=f32,ne=[32768,1,1,1]","support","1","yes","Vulkan" +"Vulkan0","SUM","type=f32,ne=[33,1,1,1]","support","1","yes","Vulkan" +"Vulkan0","SUM","type=f32,ne=[33,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SUM","type=f32,ne=[33,256,1,1]","support","1","yes","Vulkan" +"Vulkan0","SUM","type=f32,ne=[33,256,1,1],permute=[1,0,2,3]","support","0","no","Vulkan" +"Vulkan0","SUM_ROWS","type=f32,ne=[10,5,4,3],permute=0,slice=0","support","1","yes","Vulkan" "Vulkan0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=0","support","1","yes","Vulkan" "Vulkan0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=0,slice=1","support","1","yes","Vulkan" "Vulkan0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=1","support","1","yes","Vulkan" -"Vulkan0","MEAN","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan" -"Vulkan0","SUM","type=f32,ne=[33,1,1,1]","support","1","yes","Vulkan" +"Vulkan0","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=1,slice=0","support","1","yes","Vulkan" +"Vulkan0","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=0,slice=1","support","1","yes","Vulkan" +"Vulkan0","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=1,slice=1","support","1","yes","Vulkan" "Vulkan0","SUM_ROWS","type=f32,ne=[33,1,1,1],permute=0,slice=0","support","1","yes","Vulkan" -"Vulkan0","MEAN","type=f32,ne=[33,1,1,1]","support","1","yes","Vulkan" -"Vulkan0","SUM","type=f32,ne=[33,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","SUM_ROWS","type=f32,ne=[33,1024,1,1],permute=0,slice=0","support","1","yes","Vulkan" -"Vulkan0","SUM","type=f32,ne=[33,256,1,1]","support","1","yes","Vulkan" -"Vulkan0","SUM","type=f32,ne=[33,256,1,1],permute=[1,0,2,3]","support","0","no","Vulkan" "Vulkan0","SUM_ROWS","type=f32,ne=[33,256,1,1],permute=0,slice=0","support","1","yes","Vulkan" -"Vulkan0","MEAN","type=f32,ne=[33,256,1,1]","support","1","yes","Vulkan" -"Vulkan0","MEAN","type=f32,ne=[32769,1,1,1]","support","1","yes","Vulkan" "Vulkan0","GROUP_NORM","type=f32,ne=[64,64,320,1],num_groups=32,eps=0.000001","support","1","yes","Vulkan" "Vulkan0","GROUP_NORM","type=f32,ne=[9,9,1280,1],num_groups=32,eps=0.000001","support","1","yes","Vulkan" -"Vulkan0","ACC","type=f32,ne_a=[256,17,1,1],ne_b=[256,16,1,1]","support","1","yes","Vulkan" -"Vulkan0","PAD","type=f32,ne_a=[512,512,1,1],pad_0=1,pad_1=1","support","1","yes","Vulkan" -"Vulkan0","PAD","type=f32,ne_a=[512,512,3,1],lp0=1,rp0=1,lp1=1,rp1=1,lp2=1,rp2=1,lp3=1,rp3=1,v=0","support","1","yes","Vulkan" +"Vulkan0","ACC","type=f32,ne_a=[256,17,1,1],ne_b=[256,16,1,1],stride_dim=-1","support","1","yes","Vulkan" +"Vulkan0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[256,16,2,3],stride_dim=-1","support","1","yes","Vulkan" +"Vulkan0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[128,16,2,3],stride_dim=-1","support","1","yes","Vulkan" +"Vulkan0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[256,16,2,3],stride_dim=1","support","1","yes","Vulkan" +"Vulkan0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[128,16,2,3],stride_dim=2","support","1","yes","Vulkan" +"Vulkan0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[64,16,2,3],stride_dim=3","support","1","yes","Vulkan" +"Vulkan0","PAD","type=f32,ne_a=[512,512,1,1],pad_0=1,pad_1=1,circular=0","support","1","yes","Vulkan" +"Vulkan0","PAD","type=f32,ne_a=[33,17,2,1],pad_0=4,pad_1=3,circular=1","support","1","yes","Vulkan" +"Vulkan0","PAD","type=f32,ne_a=[512,512,3,1],lp0=1,rp0=1,lp1=1,rp1=1,lp2=1,rp2=1,lp3=1,rp3=1,tfrm=0,circular=0","support","1","yes","Vulkan" "Vulkan0","PAD_REFLECT_1D","type=f32,ne_a=[512,34,2,1],pad_0=10,pad_1=9","support","0","no","Vulkan" "Vulkan0","PAD_REFLECT_1D","type=f32,ne_a=[3000,384,4,1],pad_0=10,pad_1=9","support","0","no","Vulkan" "Vulkan0","ROLL","shift0=3,shift1=-2,shift3=1,shift4=-1","support","1","yes","Vulkan" @@ -9903,6 +10277,7 @@ "Vulkan0","CUMSUM","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan" "Vulkan0","CUMSUM","type=f32,ne=[127,5,4,3]","support","1","yes","Vulkan" "Vulkan0","CUMSUM","type=f32,ne=[128,5,4,3]","support","1","yes","Vulkan" +"Vulkan0","CUMSUM","type=f32,ne=[128,128,4,4]","support","1","yes","Vulkan" "Vulkan0","CUMSUM","type=f32,ne=[255,5,4,3]","support","1","yes","Vulkan" "Vulkan0","CUMSUM","type=f32,ne=[256,5,4,3]","support","1","yes","Vulkan" "Vulkan0","CUMSUM","type=f32,ne=[511,5,4,3]","support","1","yes","Vulkan" @@ -9913,7 +10288,8 @@ "Vulkan0","CUMSUM","type=f32,ne=[2048,5,4,3]","support","1","yes","Vulkan" "Vulkan0","CUMSUM","type=f32,ne=[242004,1,1,1]","support","1","yes","Vulkan" "Vulkan0","CUMSUM","type=f32,ne=[375960,1,1,1]","support","1","yes","Vulkan" -"Vulkan0","XIELU","type=f32,ne=[10,5,4,3]","support","0","no","Vulkan" +"Vulkan0","CUMSUM","type=f32,ne=[20481,4,1,1]","support","1","yes","Vulkan" +"Vulkan0","XIELU","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan" "Vulkan0","TRI","type=f32,ne=[10,10,4,3],tri_type=3","support","1","yes","Vulkan" "Vulkan0","TRI","type=f32,ne=[10,10,4,3],tri_type=2","support","1","yes","Vulkan" "Vulkan0","TRI","type=f32,ne=[10,10,4,3],tri_type=1","support","1","yes","Vulkan" @@ -9922,1137 +10298,269 @@ "Vulkan0","FILL","type=f32,ne=[303,207,11,3],c=2.000000","support","1","yes","Vulkan" "Vulkan0","FILL","type=f32,ne=[800,600,4,4],c=-152.000000","support","1","yes","Vulkan" "Vulkan0","FILL","type=f32,ne=[2048,512,2,2],c=3.500000","support","1","yes","Vulkan" +"Vulkan0","DIAG","type=f32,ne=[10,1,4,3]","support","1","yes","Vulkan" +"Vulkan0","DIAG","type=f32,ne=[79,1,19,13]","support","1","yes","Vulkan" +"Vulkan0","DIAG","type=f32,ne=[256,1,8,16]","support","1","yes","Vulkan" "Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[10,10,4,3],ne_rhs=[3,10,4,3]","support","1","yes","Vulkan" "Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[11,11,1,1],ne_rhs=[5,11,1,1]","support","1","yes","Vulkan" "Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[17,17,2,4],ne_rhs=[9,17,2,4]","support","1","yes","Vulkan" "Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[30,30,7,1],ne_rhs=[8,30,7,1]","support","1","yes","Vulkan" "Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[42,42,5,2],ne_rhs=[10,42,5,2]","support","1","yes","Vulkan" "Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[64,64,2,2],ne_rhs=[10,64,2,2]","support","1","yes","Vulkan" -"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[100,100,4,4],ne_rhs=[41,100,4,4]","support","0","no","Vulkan" -"Vulkan0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=0","support","1","yes","Vulkan" -"Vulkan0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=0","support","1","yes","Vulkan" -"Vulkan0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=1","support","1","yes","Vulkan" -"Vulkan0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=1","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[64,64,2,2],ne_rhs=[64,64,2,2]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[79,79,5,3],ne_rhs=[417,79,5,3]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,2],ne_rhs=[32,128,4,2]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[80,80,2,8],ne_rhs=[80,80,2,8]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[80,80,2,8],ne_rhs=[79,80,2,8]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[80,80,2,8],ne_rhs=[81,80,2,8]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[80,80,8,8],ne_rhs=[80,80,8,8]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[80,80,8,8],ne_rhs=[79,80,8,8]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[80,80,8,8],ne_rhs=[81,80,8,8]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[84,84,4,4],ne_rhs=[32,84,4,4]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[95,95,8,8],ne_rhs=[40,95,8,8]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[100,100,4,4],ne_rhs=[41,100,4,4]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,4],ne_rhs=[31,128,4,4]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,4],ne_rhs=[32,128,4,4]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[128,128,3,4],ne_rhs=[32,128,3,4]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,1],ne_rhs=[32,128,4,1]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[64,64,4,4],ne_rhs=[200,64,4,4]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[64,64,4,4],ne_rhs=[384,64,4,4]","support","1","yes","Vulkan" +"Vulkan0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,tfrm=0,circular=0","support","1","yes","Vulkan" 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-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11068,11 +10576,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -11103,16 +10611,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11128,11 +10636,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -11163,16 +10671,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11188,11 +10696,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -11223,16 +10731,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11248,11 +10756,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -11283,16 +10791,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11308,11 +10816,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11328,11 +10836,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11348,11 +10856,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11368,11 +10876,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11388,11 +10896,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11408,11 +10916,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11428,11 +10936,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11448,11 +10956,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11468,11 +10976,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -11503,16 +11011,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11528,11 +11036,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -11563,16 +11071,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11588,11 +11096,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -11623,16 +11131,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11648,11 +11156,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -11683,16 +11191,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11708,11 +11216,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11728,11 +11236,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11748,11 +11256,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11768,11 +11276,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11788,11 +11296,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11808,11 +11316,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11828,11 +11336,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11848,11 +11356,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11868,11 +11376,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11888,11 +11396,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11908,11 +11416,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11928,11 +11436,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11948,11 +11456,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11968,11 +11476,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11988,11 +11496,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12008,11 +11516,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12028,11 +11536,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12048,11 +11556,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12068,11 +11576,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12088,11 +11596,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12108,11 +11616,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12128,11 +11636,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12148,11 +11656,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12168,11 +11676,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12188,11 +11696,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -12223,16 +11731,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12248,11 +11756,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -12283,16 +11791,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12308,11 +11816,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12328,11 +11836,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12348,11 +11856,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12368,11 +11876,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12388,11 +11896,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -12423,16 +11931,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12448,11 +11956,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -12483,16 +11991,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12508,11 +12016,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12528,11 +12036,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12548,11 +12056,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12568,11 +12076,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12588,11 +12096,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12608,11 +12116,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12628,11 +12136,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12648,11 +12156,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12668,11 +12176,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12688,11 +12196,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12708,11 +12216,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12728,6014 +12236,1371 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" 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-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" 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-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" 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-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[16,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" 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-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" 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-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" 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-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","CROSS_ENTROPY_LOSS","type=f32,ne=[10,5,4,3]","support","0","no","Vulkan" "Vulkan0","CROSS_ENTROPY_LOSS","type=f32,ne=[30000,1,1,1]","support","0","no","Vulkan" "Vulkan0","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[10,5,4,3]","support","0","no","Vulkan" "Vulkan0","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[30000,1,1,1]","support","0","no","Vulkan" "Vulkan0","OPT_STEP_ADAMW","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan" "Vulkan0","OPT_STEP_SGD","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=32,head_size=128,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=16,head_size=64,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=0","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=0,kda=0","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=0","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=0","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=1,kda=0","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=32,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=1","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=1","support","0","no","Vulkan" diff --git a/docs/ops/WebGPU.csv b/docs/ops/WebGPU.csv index 9e081e7605..3b8a27ce89 100644 --- a/docs/ops/WebGPU.csv +++ b/docs/ops/WebGPU.csv @@ -5023,20 +5023,20 @@ "WebGPU: WebGPU","ARGMAX","type=f32,ne=[1024,12,1,1]","support","1","yes","WebGPU" "WebGPU: WebGPU","ARGMAX","type=f32,ne=[2000,10,1,1]","support","1","yes","WebGPU" "WebGPU: WebGPU","ARGMAX","type=f32,ne=[5438,3,1,1]","support","1","yes","WebGPU" -"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,1,1,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[2,1,1,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,2,1,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,1,2,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,1,1,2]","support","0","no","WebGPU" -"WebGPU: WebGPU","REPEAT","type=i32,ne=[10,5,4,1],nr=[2,1,1,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","REPEAT","type=i16,ne=[10,5,4,1],nr=[1,1,1,2]","support","0","no","WebGPU" -"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,1,1,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[2,1,1,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,2,1,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,1,2,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,1,1,2]","support","0","no","WebGPU" -"WebGPU: WebGPU","REPEAT","type=i32,ne=[10,5,4,3],nr=[2,1,1,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","REPEAT","type=i16,ne=[10,5,4,3],nr=[1,1,1,2]","support","0","no","WebGPU" +"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,1,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[2,1,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,2,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,1,2,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,1,1,2]","support","1","yes","WebGPU" +"WebGPU: WebGPU","REPEAT","type=i32,ne=[10,5,4,1],nr=[2,1,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","REPEAT","type=i16,ne=[10,5,4,1],nr=[1,1,1,2]","support","1","yes","WebGPU" +"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,1,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[2,1,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,2,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,1,2,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,3],nr=[1,1,1,2]","support","1","yes","WebGPU" +"WebGPU: WebGPU","REPEAT","type=i32,ne=[10,5,4,3],nr=[2,1,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","REPEAT","type=i16,ne=[10,5,4,3],nr=[1,1,1,2]","support","1","yes","WebGPU" "WebGPU: WebGPU","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,1,1,1],v=0","support","0","no","WebGPU" "WebGPU: WebGPU","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[2,1,1,1],v=0","support","0","no","WebGPU" "WebGPU: WebGPU","REPEAT_BACK","type=f32,ne=[8,6,4,2],nr=[1,2,1,1],v=0","support","0","no","WebGPU" @@ -5057,12 +5057,18 @@ "WebGPU: WebGPU","DUP","type=f16,ne=[10,10,5,1],permute=[1,0,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","DUP","type=i16,ne=[10,8,3,1],permute=[0,2,1,3]","support","0","no","WebGPU" "WebGPU: WebGPU","DUP","type=i16,ne=[10,8,3,1],permute=[1,2,0,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1","support","0","no","WebGPU" -"WebGPU: WebGPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2","support","0","no","WebGPU" -"WebGPU: WebGPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3","support","0","no","WebGPU" -"WebGPU: WebGPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1","support","0","no","WebGPU" -"WebGPU: WebGPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2","support","0","no","WebGPU" -"WebGPU: WebGPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3","support","0","no","WebGPU" +"WebGPU: WebGPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=1","support","1","yes","WebGPU" "WebGPU: WebGPU","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","WebGPU" "WebGPU: WebGPU","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","WebGPU" "WebGPU: WebGPU","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","WebGPU" @@ -5508,230 +5514,366 @@ "WebGPU: WebGPU","CONT","type=bf16,ne=[1,4,4,1],use_view_slice=0","support","0","no","WebGPU" "WebGPU: WebGPU","CONT","type=bf16,ne=[1,8,17,1],use_view_slice=0","support","0","no","WebGPU" "WebGPU: WebGPU","CONT","type=bf16,ne=[10,10,10,1],use_view_slice=0","support","0","no","WebGPU" -"WebGPU: WebGPU","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","WebGPU" -"WebGPU: 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"WebGPU: WebGPU","CEIL","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU" @@ -8778,16 +8976,31 @@ "WebGPU: WebGPU","ROUND","type=f16,ne=[1024,1024,1,1]","support","1","yes","WebGPU" "WebGPU: WebGPU","TRUNC","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","TRUNC","type=f16,ne=[1024,1024,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","SQR","type=f32,ne=[10,5,4,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","SQRT","type=f32,ne=[10,3,3,2]","support","1","yes","WebGPU" "WebGPU: WebGPU","LOG","type=f32,ne=[10,5,4,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","SIN","type=f32,ne=[10,2,2,2]","support","1","yes","WebGPU" +"WebGPU: WebGPU","COS","type=f32,ne=[10,2,2,2]","support","1","yes","WebGPU" "WebGPU: WebGPU","CLAMP","type=f32,ne=[10,5,4,3],min=-0.500000,max=0.500000","support","1","yes","WebGPU" "WebGPU: WebGPU","LEAKY_RELU","type=f32,ne_a=[10,5,4,3],negative_slope=0.100000","support","0","no","WebGPU" "WebGPU: 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WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU" "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU" "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU" "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU" "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU" "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU" "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU" "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","WebGPU" "WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","WebGPU" "WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","WebGPU" @@ -9989,30 +10242,41 @@ "WebGPU: WebGPU","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bicubic|align_corners","support","0","no","WebGPU" "WebGPU: WebGPU","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bicubic|align_corners","support","0","no","WebGPU" "WebGPU: WebGPU","SUM","type=f32,ne=[10,5,4,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SUM_ROWS","type=f32,ne=[10,5,4,3],permute=0,slice=0","support","1","yes","WebGPU" "WebGPU: WebGPU","SUM","type=f32,ne=[11,5,6,3],permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","SUM","type=f32,ne=[11,5,6,3],permute=[0,3,2,1]","support","1","yes","WebGPU" "WebGPU: WebGPU","SUM","type=f32,ne=[11,5,6,3],permute=[0,1,3,2]","support","1","yes","WebGPU" +"WebGPU: WebGPU","MEAN","type=f32,ne=[10,5,4,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","MEAN","type=f32,ne=[33,1,1,1]","support","0","no","WebGPU" +"WebGPU: WebGPU","MEAN","type=f32,ne=[33,256,1,1]","support","0","no","WebGPU" +"WebGPU: WebGPU","MEAN","type=f32,ne=[32769,1,1,1]","support","0","no","WebGPU" +"WebGPU: WebGPU","MEAN","type=f32,ne=[32,1,1,1]","support","0","no","WebGPU" +"WebGPU: WebGPU","MEAN","type=f32,ne=[32,256,1,1]","support","0","no","WebGPU" +"WebGPU: WebGPU","MEAN","type=f32,ne=[32768,1,1,1]","support","0","no","WebGPU" +"WebGPU: WebGPU","SUM","type=f32,ne=[33,1,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","SUM","type=f32,ne=[33,1024,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","SUM","type=f32,ne=[33,256,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","SUM","type=f32,ne=[33,256,1,1],permute=[1,0,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","SUM_ROWS","type=f32,ne=[10,5,4,3],permute=0,slice=0","support","1","yes","WebGPU" "WebGPU: WebGPU","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=0","support","1","yes","WebGPU" "WebGPU: WebGPU","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=0,slice=1","support","1","yes","WebGPU" "WebGPU: WebGPU","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","MEAN","type=f32,ne=[10,5,4,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","SUM","type=f32,ne=[33,1,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=1,slice=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=0,slice=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=1,slice=1","support","1","yes","WebGPU" "WebGPU: WebGPU","SUM_ROWS","type=f32,ne=[33,1,1,1],permute=0,slice=0","support","1","yes","WebGPU" -"WebGPU: WebGPU","MEAN","type=f32,ne=[33,1,1,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","SUM","type=f32,ne=[33,1024,1,1]","support","1","yes","WebGPU" "WebGPU: WebGPU","SUM_ROWS","type=f32,ne=[33,1024,1,1],permute=0,slice=0","support","1","yes","WebGPU" -"WebGPU: WebGPU","SUM","type=f32,ne=[33,256,1,1]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SUM","type=f32,ne=[33,256,1,1],permute=[1,0,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","SUM_ROWS","type=f32,ne=[33,256,1,1],permute=0,slice=0","support","1","yes","WebGPU" -"WebGPU: WebGPU","MEAN","type=f32,ne=[33,256,1,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","MEAN","type=f32,ne=[32769,1,1,1]","support","0","no","WebGPU" "WebGPU: WebGPU","GROUP_NORM","type=f32,ne=[64,64,320,1],num_groups=32,eps=0.000001","support","0","no","WebGPU" "WebGPU: WebGPU","GROUP_NORM","type=f32,ne=[9,9,1280,1],num_groups=32,eps=0.000001","support","0","no","WebGPU" -"WebGPU: WebGPU","ACC","type=f32,ne_a=[256,17,1,1],ne_b=[256,16,1,1]","support","0","no","WebGPU" +"WebGPU: WebGPU","ACC","type=f32,ne_a=[256,17,1,1],ne_b=[256,16,1,1],stride_dim=-1","support","0","no","WebGPU" +"WebGPU: WebGPU","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[256,16,2,3],stride_dim=-1","support","0","no","WebGPU" +"WebGPU: WebGPU","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[128,16,2,3],stride_dim=-1","support","0","no","WebGPU" +"WebGPU: WebGPU","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[256,16,2,3],stride_dim=1","support","0","no","WebGPU" +"WebGPU: WebGPU","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[128,16,2,3],stride_dim=2","support","0","no","WebGPU" +"WebGPU: WebGPU","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[64,16,2,3],stride_dim=3","support","0","no","WebGPU" "WebGPU: WebGPU","PAD","type=f32,ne_a=[512,512,1,1],pad_0=1,pad_1=1,circular=0","support","1","yes","WebGPU" "WebGPU: WebGPU","PAD","type=f32,ne_a=[33,17,2,1],pad_0=4,pad_1=3,circular=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","PAD","type=f32,ne_a=[512,512,3,1],lp0=1,rp0=1,lp1=1,rp1=1,lp2=1,rp2=1,lp3=1,rp3=1,v=0,circular=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","PAD","type=f32,ne_a=[512,512,3,1],lp0=1,rp0=1,lp1=1,rp1=1,lp2=1,rp2=1,lp3=1,rp3=1,tfrm=0,circular=0","support","1","yes","WebGPU" "WebGPU: WebGPU","PAD_REFLECT_1D","type=f32,ne_a=[512,34,2,1],pad_0=10,pad_1=9","support","0","no","WebGPU" "WebGPU: WebGPU","PAD_REFLECT_1D","type=f32,ne_a=[3000,384,4,1],pad_0=10,pad_1=9","support","0","no","WebGPU" "WebGPU: WebGPU","ROLL","shift0=3,shift1=-2,shift3=1,shift4=-1","support","0","no","WebGPU" @@ -10036,1169 +10300,277 @@ "WebGPU: WebGPU","CUMSUM","type=f32,ne=[375960,1,1,1]","support","1","yes","WebGPU" "WebGPU: WebGPU","CUMSUM","type=f32,ne=[20481,4,1,1]","support","1","yes","WebGPU" "WebGPU: WebGPU","XIELU","type=f32,ne=[10,5,4,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","TRI","type=f32,ne=[10,10,4,3],tri_type=3","support","0","no","WebGPU" -"WebGPU: WebGPU","TRI","type=f32,ne=[10,10,4,3],tri_type=2","support","0","no","WebGPU" -"WebGPU: WebGPU","TRI","type=f32,ne=[10,10,4,3],tri_type=1","support","0","no","WebGPU" -"WebGPU: WebGPU","TRI","type=f32,ne=[10,10,4,3],tri_type=0","support","0","no","WebGPU" +"WebGPU: WebGPU","TRI","type=f32,ne=[10,10,4,3],tri_type=3","support","1","yes","WebGPU" +"WebGPU: WebGPU","TRI","type=f32,ne=[10,10,4,3],tri_type=2","support","1","yes","WebGPU" +"WebGPU: WebGPU","TRI","type=f32,ne=[10,10,4,3],tri_type=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","TRI","type=f32,ne=[10,10,4,3],tri_type=0","support","1","yes","WebGPU" "WebGPU: WebGPU","FILL","type=f32,ne=[10,10,4,3],c=0.000000","support","1","yes","WebGPU" "WebGPU: 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WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" @@ -11249,16 +10621,16 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: 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WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11274,11 +10646,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" @@ -11309,16 +10681,16 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: 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WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11334,11 +10706,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" @@ -11369,16 +10741,16 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11394,11 +10766,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" @@ -11429,16 +10801,16 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11454,11 +10826,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11474,11 +10846,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11494,11 +10866,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11514,11 +10886,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11534,11 +10906,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11554,11 +10926,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11574,11 +10946,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11594,11 +10966,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11614,11 +10986,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" @@ -11649,16 +11021,16 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11674,11 +11046,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" @@ -11709,16 +11081,16 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11734,11 +11106,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" @@ -11769,16 +11141,16 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: 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WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11794,11 +11166,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" @@ -11829,16 +11201,16 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11854,11 +11226,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11874,11 +11246,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11894,11 +11266,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11914,11 +11286,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11934,11 +11306,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11954,11 +11326,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11974,11 +11346,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -11994,11 +11366,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12014,11 +11386,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12034,11 +11406,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12054,11 +11426,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12074,11 +11446,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12094,11 +11466,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12114,11 +11486,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12134,11 +11506,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12154,11 +11526,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12174,11 +11546,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12194,11 +11566,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12214,11 +11586,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12234,11 +11606,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12254,11 +11626,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12274,11 +11646,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12294,11 +11666,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12314,11 +11686,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12334,11 +11706,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" @@ -12369,16 +11741,16 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12394,11 +11766,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" @@ -12429,16 +11801,16 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12454,11 +11826,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12474,11 +11846,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12494,11 +11866,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12514,11 +11886,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12534,11 +11906,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" @@ -12569,16 +11941,16 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12594,11 +11966,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" @@ -12629,16 +12001,16 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12654,11 +12026,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12674,11 +12046,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12694,11 +12066,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12714,11 +12086,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12734,11 +12106,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12754,11 +12126,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12774,11 +12146,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12794,11 +12166,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12814,11 +12186,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12834,11 +12206,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12854,11 +12226,11 @@ "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: 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WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" @@ -12874,6038 +12246,1632 @@ "WebGPU: 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WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","CROSS_ENTROPY_LOSS","type=f32,ne=[10,5,4,3]","support","0","no","WebGPU" "WebGPU: WebGPU","CROSS_ENTROPY_LOSS","type=f32,ne=[30000,1,1,1]","support","0","no","WebGPU" "WebGPU: WebGPU","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[10,5,4,3]","support","0","no","WebGPU" "WebGPU: WebGPU","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[30000,1,1,1]","support","0","no","WebGPU" "WebGPU: WebGPU","OPT_STEP_ADAMW","type=f32,ne=[10,5,4,3]","support","0","no","WebGPU" "WebGPU: WebGPU","OPT_STEP_SGD","type=f32,ne=[10,5,4,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","SQR","type=f16,ne=[10,5,4,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SQRT","type=f16,ne=[10,3,3,2]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SIN","type=f16,ne=[10,2,2,2]","support","1","yes","WebGPU" -"WebGPU: WebGPU","COS","type=f16,ne=[10,2,2,2]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SQR","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SQR","type=f16,ne=[1024,1024,1,1]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SQRT","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SQRT","type=f16,ne=[1024,1024,1,1]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SIN","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SIN","type=f16,ne=[1024,1024,1,1]","support","1","yes","WebGPU" -"WebGPU: WebGPU","COS","type=f16,ne=[7,1,5,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","COS","type=f16,ne=[1024,1024,1,1]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SQR","type=f32,ne=[10,5,4,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SQRT","type=f32,ne=[10,3,3,2]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SIN","type=f32,ne=[10,2,2,2]","support","1","yes","WebGPU" -"WebGPU: WebGPU","COS","type=f32,ne=[10,2,2,2]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SQR","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SQR","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SQRT","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SQRT","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SIN","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","SIN","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU" -"WebGPU: WebGPU","COS","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU" -"WebGPU: WebGPU","COS","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","GATED_DELTA_NET","type=f32,head_count=32,head_size=128,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","GATED_DELTA_NET","type=f32,head_count=32,head_size=16,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","GATED_DELTA_NET","type=f32,head_count=32,head_size=16,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=1,kda=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","GATED_DELTA_NET","type=f32,head_count=32,head_size=16,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","GATED_DELTA_NET","type=f32,head_count=16,head_size=64,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=0,kda=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=1,kda=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=16,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=32,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","GATED_DELTA_NET","type=f32,head_count=4,head_size=16,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=1","support","1","yes","WebGPU" diff --git a/examples/json_schema_to_grammar.py b/examples/json_schema_to_grammar.py index 35f7d47f3c..077fcfacac 100755 --- a/examples/json_schema_to_grammar.py +++ b/examples/json_schema_to_grammar.py @@ -28,9 +28,6 @@ def _build_repetition(item_rule, min_items, max_items, separator_rule=None): return f'({result})?' if min_items == 0 else result def _generate_min_max_int(min_value: Optional[int], max_value: Optional[int], out: list, decimals_left: int = 16, top_level: bool = True): - has_min = min_value != None - has_max = max_value != None - def digit_range(from_char: str, to_char: str): out.append("[") if from_char == to_char: @@ -106,7 +103,7 @@ def _generate_min_max_int(min_value: Optional[int], max_value: Optional[int], ou out.append(to_str[i]) out.append("]") - if has_min and has_max: + if min_value is not None and max_value is not None: if min_value < 0 and max_value < 0: out.append("\"-\" (") _generate_min_max_int(-max_value, -min_value, out, decimals_left, top_level=True) @@ -133,7 +130,7 @@ def _generate_min_max_int(min_value: Optional[int], max_value: Optional[int], ou less_decimals = max(decimals_left - 1, 1) - if has_min: + if min_value is not None: if min_value < 0: out.append("\"-\" (") _generate_min_max_int(None, -min_value, out, decimals_left, top_level=False) @@ -177,7 +174,7 @@ def _generate_min_max_int(min_value: Optional[int], max_value: Optional[int], ou more_digits(length - 1, less_decimals) return - if has_max: + if max_value is not None: if max_value >= 0: if top_level: out.append("\"-\" [1-9] ") @@ -633,7 +630,7 @@ class SchemaConverter: return self._add_rule(rule_name, self._build_object_rule(properties, required, hybrid_name, additional_properties=None)) elif schema_type in (None, 'array') and ('items' in schema or 'prefixItems' in schema): - items = schema.get('items') or schema['prefixItems'] + items = schema.get('items', schema.get('prefixItems')) if isinstance(items, list): return self._add_rule( rule_name, diff --git a/examples/model-conversion/scripts/embedding/run-original-model.py b/examples/model-conversion/scripts/embedding/run-original-model.py index 0802cbcf4a..614c1a86b9 100755 --- a/examples/model-conversion/scripts/embedding/run-original-model.py +++ b/examples/model-conversion/scripts/embedding/run-original-model.py @@ -64,7 +64,7 @@ def load_model_and_tokenizer(model_path, use_sentence_transformers=False, device print("Using SentenceTransformer to apply all numbered layers") model = SentenceTransformer(model_path) tokenizer = model.tokenizer - config = model[0].auto_model.config # type: ignore + config = model[0].auto_model.config else: tokenizer = AutoTokenizer.from_pretrained(model_path) config = AutoConfig.from_pretrained(model_path, trust_remote_code=True) @@ -108,8 +108,8 @@ def load_model_and_tokenizer(model_path, use_sentence_transformers=False, device print(f"Model file: {type(model).__module__}") # Verify the model is using the correct sliding window - if hasattr(model.config, 'sliding_window'): # type: ignore - print(f"Model's sliding_window: {model.config.sliding_window}") # type: ignore + if hasattr(model.config, 'sliding_window'): + print(f"Model's sliding_window: {model.config.sliding_window}") else: print("Model config does not have sliding_window attribute") @@ -152,7 +152,7 @@ def main(): device = next(model.parameters()).device else: # For SentenceTransformer, get device from the underlying model - device = next(model[0].auto_model.parameters()).device # type: ignore + device = next(model[0].auto_model.parameters()).device model_name = os.path.basename(model_path) @@ -177,7 +177,7 @@ def main(): print(f"{token_id:6d} -> '{token_str}'") print(f"Embeddings shape (after all SentenceTransformer layers): {all_embeddings.shape}") - print(f"Embedding dimension: {all_embeddings.shape[1] if len(all_embeddings.shape) > 1 else all_embeddings.shape[0]}") # type: ignore + print(f"Embedding dimension: {all_embeddings.shape[1] if len(all_embeddings.shape) > 1 else all_embeddings.shape[0]}") else: # Standard approach: use base model output only encoded = tokenizer( @@ -205,12 +205,12 @@ def main(): print(f"Embedding dimension: {all_embeddings.shape[1]}") if len(all_embeddings.shape) == 1: - n_embd = all_embeddings.shape[0] # type: ignore + n_embd = all_embeddings.shape[0] n_embd_count = 1 all_embeddings = all_embeddings.reshape(1, -1) else: - n_embd = all_embeddings.shape[1] # type: ignore - n_embd_count = all_embeddings.shape[0] # type: ignore + n_embd = all_embeddings.shape[1] + n_embd_count = all_embeddings.shape[0] print() diff --git a/examples/model-conversion/scripts/utils/compare_tokens.py b/examples/model-conversion/scripts/utils/compare_tokens.py index a286cb5683..62826ec7a6 100755 --- a/examples/model-conversion/scripts/utils/compare_tokens.py +++ b/examples/model-conversion/scripts/utils/compare_tokens.py @@ -2,7 +2,7 @@ import argparse import sys -from common import compare_tokens # type: ignore +from common import compare_tokens # type: ignore[import-not-found] def parse_arguments(): diff --git a/examples/pydantic_models_to_grammar.py b/examples/pydantic_models_to_grammar.py index 93e5dcb6c3..0cdd0b5709 100644 --- a/examples/pydantic_models_to_grammar.py +++ b/examples/pydantic_models_to_grammar.py @@ -6,7 +6,7 @@ import re from copy import copy from enum import Enum from inspect import getdoc, isclass -from typing import TYPE_CHECKING, Any, Callable, List, Optional, Union, get_args, get_origin, get_type_hints +from typing import TYPE_CHECKING, Any, Callable, Optional, Union, get_args, get_origin, get_type_hints from docstring_parser import parse from pydantic import BaseModel, create_model @@ -1158,7 +1158,7 @@ def create_dynamic_model_from_function(func: Callable[..., Any]): # Assert that the parameter has a type annotation if param.annotation == inspect.Parameter.empty: - raise TypeError(f"Parameter '{param.name}' in function '{func.__name__}' lacks a type annotation") + raise TypeError(f"""Parameter '{param.name}' in function '{getattr(func, "__name__", "")}' lacks a type annotation""") # Find the parameter's description in the docstring param_doc = next((d for d in docstring.params if d.arg_name == param.name), None) @@ -1166,7 +1166,7 @@ def create_dynamic_model_from_function(func: Callable[..., Any]): # Assert that the parameter has a description if not param_doc or not param_doc.description: raise ValueError( - f"Parameter '{param.name}' in function '{func.__name__}' lacks a description in the docstring") + f"""Parameter '{param.name}' in function '{getattr(func, "__name__", "")}' lacks a description in the docstring""") # Add parameter details to the schema param_docs.append((param.name, param_doc)) @@ -1177,7 +1177,7 @@ def create_dynamic_model_from_function(func: Callable[..., Any]): dynamic_fields[param.name] = ( param.annotation if param.annotation != inspect.Parameter.empty else str, default_value) # Creating the dynamic model - dynamic_model = create_model(f"{func.__name__}", **dynamic_fields) + dynamic_model = create_model(f"{getattr(func, '__name__')}", **dynamic_fields) for name, param_doc in param_docs: dynamic_model.model_fields[name].description = param_doc.description @@ -1285,7 +1285,7 @@ def convert_dictionary_to_pydantic_model(dictionary: dict[str, Any], model_name: if items != {}: array = {"properties": items} array_type = convert_dictionary_to_pydantic_model(array, f"{model_name}_{field_name}_items") - fields[field_name] = (List[array_type], ...) + fields[field_name] = (list[array_type], ...) # ty: ignore[invalid-type-form] else: fields[field_name] = (list, ...) elif field_type == "object": diff --git a/ggml/CMakeLists.txt b/ggml/CMakeLists.txt index 4323afe57b..c780077aca 100644 --- a/ggml/CMakeLists.txt +++ b/ggml/CMakeLists.txt @@ -4,7 +4,7 @@ project("ggml" C CXX ASM) ### GGML Version set(GGML_VERSION_MAJOR 0) set(GGML_VERSION_MINOR 9) -set(GGML_VERSION_PATCH 7) +set(GGML_VERSION_PATCH 8) set(GGML_VERSION_BASE "${GGML_VERSION_MAJOR}.${GGML_VERSION_MINOR}.${GGML_VERSION_PATCH}") find_program(GIT_EXE NAMES git git.exe NO_CMAKE_FIND_ROOT_PATH) @@ -248,12 +248,14 @@ set (GGML_SYCL_TARGET "INTEL" CACHE STRING set (GGML_SYCL_DEVICE_ARCH "" CACHE STRING "ggml: sycl device architecture") +option(GGML_OPENVINO "ggml: use OPENVINO" OFF) + option(GGML_OPENCL "ggml: use OpenCL" OFF) option(GGML_OPENCL_PROFILING "ggml: use OpenCL profiling (increases overhead)" OFF) option(GGML_OPENCL_EMBED_KERNELS "ggml: embed kernels" ON) option(GGML_OPENCL_USE_ADRENO_KERNELS "ggml: use optimized kernels for Adreno" ON) set (GGML_OPENCL_TARGET_VERSION "300" CACHE STRING - "gmml: OpenCL API version to target") + "ggml: OpenCL API version to target") option(GGML_HEXAGON "ggml: enable Hexagon backend" OFF) set(GGML_HEXAGON_FP32_QUANTIZE_GROUP_SIZE 128 CACHE STRING "ggml: quantize group size (32, 64, or 128)") @@ -327,6 +329,7 @@ set(GGML_PUBLIC_HEADERS include/ggml-vulkan.h include/ggml-webgpu.h include/ggml-zendnn.h + include/ggml-openvino.h include/gguf.h) set_target_properties(ggml PROPERTIES PUBLIC_HEADER "${GGML_PUBLIC_HEADERS}") diff --git a/ggml/include/ggml-openvino.h b/ggml/include/ggml-openvino.h new file mode 100644 index 0000000000..c43beb07b6 --- /dev/null +++ b/ggml/include/ggml-openvino.h @@ -0,0 +1,37 @@ +#pragma once + +#include "ggml-backend.h" + +#include + +#ifdef __cplusplus +extern "C" { +#endif + +#define GGML_OPENVINO_NAME "OPENVINO" + +// backend API +GGML_BACKEND_API ggml_backend_t ggml_backend_openvino_init(int device); + +GGML_BACKEND_API bool ggml_backend_is_openvino(ggml_backend_t backend); + +GGML_BACKEND_API bool ggml_backend_buffer_is_openvino(ggml_backend_buffer_t buffer); + +GGML_BACKEND_API bool ggml_backend_buft_is_openvino(ggml_backend_buffer_type_t buft); + +GGML_BACKEND_API bool ggml_backend_buft_is_openvino_host(ggml_backend_buffer_type_t buft); + +GGML_BACKEND_API size_t ggml_backend_openvino_buffer_get_ctx_id(ggml_backend_buffer_t buffer); + +// device buffer +GGML_BACKEND_API ggml_backend_buffer_type_t ggml_backend_openvino_buffer_type(int device); + +GGML_BACKEND_API ggml_backend_buffer_type_t ggml_backend_openvino_host_buffer_type(int device); + +GGML_BACKEND_API int ggml_backend_openvino_get_device_count(void); + +GGML_BACKEND_API ggml_backend_reg_t ggml_backend_openvino_reg(void); + +#ifdef __cplusplus +} +#endif diff --git a/ggml/include/ggml-rpc.h b/ggml/include/ggml-rpc.h index df1ad2a516..1c11495b66 100644 --- a/ggml/include/ggml-rpc.h +++ b/ggml/include/ggml-rpc.h @@ -8,7 +8,12 @@ extern "C" { #define RPC_PROTO_MAJOR_VERSION 3 #define RPC_PROTO_MINOR_VERSION 6 -#define RPC_PROTO_PATCH_VERSION 0 +#define RPC_PROTO_PATCH_VERSION 1 + +#ifdef __cplusplus +static_assert(GGML_OP_COUNT == 96, "GGML_OP_COUNT has changed - update RPC_PROTO_PATCH_VERSION"); +#endif + #define GGML_RPC_MAX_SERVERS 16 // backend API diff --git a/ggml/include/ggml.h b/ggml/include/ggml.h index 784d69206b..669f66b650 100644 --- a/ggml/include/ggml.h +++ b/ggml/include/ggml.h @@ -427,7 +427,8 @@ extern "C" { // GGML_TYPE_IQ4_NL_4_8 = 37, // GGML_TYPE_IQ4_NL_8_8 = 38, GGML_TYPE_MXFP4 = 39, // MXFP4 (1 block) - GGML_TYPE_COUNT = 40, + GGML_TYPE_NVFP4 = 40, // NVFP4 (4 blocks, E4M3 scale) + GGML_TYPE_COUNT = 41, }; // precision @@ -463,6 +464,7 @@ extern "C" { GGML_FTYPE_MOSTLY_IQ1_M = 23, // except 1d tensors GGML_FTYPE_MOSTLY_BF16 = 24, // except 1d tensors GGML_FTYPE_MOSTLY_MXFP4 = 25, // except 1d tensors + GGML_FTYPE_MOSTLY_NVFP4 = 26, // except 1d tensors }; // available tensor operations: @@ -556,6 +558,7 @@ extern "C" { GGML_OP_GATED_LINEAR_ATTN, GGML_OP_RWKV_WKV7, GGML_OP_SOLVE_TRI, + GGML_OP_GATED_DELTA_NET, GGML_OP_UNARY, @@ -730,6 +733,10 @@ extern "C" { GGML_API size_t ggml_type_size(enum ggml_type type); // size in bytes for all elements in a block GGML_API size_t ggml_row_size (enum ggml_type type, int64_t ne); // size in bytes for all elements in a row + GGML_DEPRECATED( + GGML_API double ggml_type_sizef(enum ggml_type type), // ggml_type_size()/ggml_blck_size() as float + "use ggml_row_size() instead"); + GGML_API const char * ggml_type_name(enum ggml_type type); GGML_API const char * ggml_op_name (enum ggml_op op); GGML_API const char * ggml_op_symbol(enum ggml_op op); @@ -2463,6 +2470,17 @@ extern "C" { bool lower, bool uni); + // TODO: add ggml_gated_delta_net_set_bcast() to be able to configure Q, K broadcast type: tiled vs interleaved [TAG_GGML_GDN_BCAST] + // ref: https://github.com/ggml-org/llama.cpp/pull/19468#discussion_r2786394306 + GGML_API struct ggml_tensor * ggml_gated_delta_net( + struct ggml_context * ctx, + struct ggml_tensor * q, + struct ggml_tensor * k, + struct ggml_tensor * v, + struct ggml_tensor * g, + struct ggml_tensor * beta, + struct ggml_tensor * state); + // custom operators typedef void (*ggml_custom1_op_t)(struct ggml_tensor * dst , const struct ggml_tensor * a, int ith, int nth, void * userdata); diff --git a/ggml/src/CMakeLists.txt b/ggml/src/CMakeLists.txt index 265023733e..78853304d9 100644 --- a/ggml/src/CMakeLists.txt +++ b/ggml/src/CMakeLists.txt @@ -460,6 +460,7 @@ ggml_add_backend(zDNN) ggml_add_backend(OpenCL) ggml_add_backend(Hexagon) ggml_add_backend(ZenDNN) +ggml_add_backend(OPENVINO) foreach (target ggml-base ggml) target_include_directories(${target} PUBLIC $ $) diff --git a/ggml/src/ggml-backend-reg.cpp b/ggml/src/ggml-backend-reg.cpp index 311fa5fe36..0587109212 100644 --- a/ggml/src/ggml-backend-reg.cpp +++ b/ggml/src/ggml-backend-reg.cpp @@ -82,6 +82,10 @@ #include "ggml-zendnn.h" #endif +#ifdef GGML_USE_OPENVINO +#include "ggml-openvino.h" +#endif + namespace fs = std::filesystem; static std::string path_str(const fs::path & path) { @@ -154,6 +158,9 @@ struct ggml_backend_registry { #ifdef GGML_USE_RPC register_backend(ggml_backend_rpc_reg()); #endif +#ifdef GGML_USE_OPENVINO + register_backend(ggml_backend_openvino_reg()); +#endif #ifdef GGML_USE_CPU register_backend(ggml_backend_cpu_reg()); #endif @@ -557,6 +564,7 @@ void ggml_backend_load_all_from_path(const char * dir_path) { ggml_backend_load_best("opencl", silent, dir_path); ggml_backend_load_best("hexagon", silent, dir_path); ggml_backend_load_best("musa", silent, dir_path); + ggml_backend_load_best("openvino", silent, dir_path); ggml_backend_load_best("cpu", silent, dir_path); // check the environment variable GGML_BACKEND_PATH to load an out-of-tree backend const char * backend_path = std::getenv("GGML_BACKEND_PATH"); diff --git a/ggml/src/ggml-backend.cpp b/ggml/src/ggml-backend.cpp index bc57df20ba..22c656996c 100644 --- a/ggml/src/ggml-backend.cpp +++ b/ggml/src/ggml-backend.cpp @@ -1455,10 +1455,6 @@ static enum ggml_status ggml_backend_sched_compute_splits(ggml_backend_sched_t s int split_backend_id = split->backend_id; ggml_backend_t split_backend = sched->backends[split_backend_id]; - if (sched->events[split_backend_id][sched->cur_copy] == NULL) { - ggml_backend_synchronize(split_backend); - } - // copy the input tensors to the split backend for (int input_id = 0; input_id < split->n_inputs; input_id++) { ggml_backend_t input_backend = ggml_backend_sched_get_tensor_backend(sched, split->inputs[input_id]); @@ -1469,12 +1465,16 @@ static enum ggml_status ggml_backend_sched_compute_splits(ggml_backend_sched_t s // inputs from the user must be copied immediately to prevent the user overwriting the data before the copy is done if (sched->events[split_backend_id][sched->cur_copy] != NULL) { ggml_backend_event_synchronize(sched->events[split_backend_id][sched->cur_copy]); + } else { + ggml_backend_synchronize(split_backend); } - ggml_backend_tensor_copy_async(input_backend, split_backend, input, input_cpy); + ggml_backend_tensor_copy(input, input_cpy); } else { // wait for the split backend to finish using the input before overwriting it if (sched->events[split_backend_id][sched->cur_copy] != NULL) { ggml_backend_event_wait(split_backend, sched->events[split_backend_id][sched->cur_copy]); + } else { + ggml_backend_synchronize(split_backend); } // when offloading MoE weights, we can reduce the amount of data copied by copying only the experts that are used @@ -1578,10 +1578,6 @@ static enum ggml_status ggml_backend_sched_compute_splits(ggml_backend_sched_t s } } - if (sched->events[split_backend_id][sched->cur_copy] == NULL) { - ggml_backend_synchronize(split_backend); - } - if (!sched->callback_eval) { enum ggml_status ec = ggml_backend_graph_compute_async(split_backend, &split->graph); if (ec != GGML_STATUS_SUCCESS) { diff --git a/ggml/src/ggml-blas/ggml-blas.cpp b/ggml/src/ggml-blas/ggml-blas.cpp index 5de64b816f..e7a1763b54 100644 --- a/ggml/src/ggml-blas/ggml-blas.cpp +++ b/ggml/src/ggml-blas/ggml-blas.cpp @@ -121,6 +121,8 @@ static void ggml_backend_blas_mul_mat(ggml_backend_blas_context * ctx, struct gg bli_thread_set_num_threads(ctx->n_threads); #elif defined(GGML_BLAS_USE_NVPL) nvpl_blas_set_num_threads(ctx->n_threads); +#elif defined(GGML_BLAS_USE_MKL) + mkl_set_num_threads(ctx->n_threads); #endif for (int64_t i13 = 0; i13 < ne13; i13++) { diff --git a/ggml/src/ggml-cann/aclnn_ops.cpp b/ggml/src/ggml-cann/aclnn_ops.cpp index fc7c3e3b72..b45774dde3 100644 --- a/ggml/src/ggml-cann/aclnn_ops.cpp +++ b/ggml/src/ggml-cann/aclnn_ops.cpp @@ -1544,8 +1544,8 @@ static void aclnn_get_slope(ggml_backend_cann_context & ctx, end = 2 * ((n_head - 1) - n_head_log2) + 1; step = 2; count = n_head - n_head_log2; - aclnn_get_slope_inner(ctx, (char *) slope_buffer + n_head_log2 * sizeof(float), m1, count, start, end + 1, step, - dtype); + aclnn_get_slope_inner(ctx, (char *) slope_buffer + n_head_log2 * ggml_type_size(dtype), m1, count, start, end + 1, + step, dtype); } } @@ -1788,9 +1788,11 @@ void ggml_cann_get_rows(ggml_backend_cann_context & ctx, ggml_tensor * dst) { ggml_tensor * src0 = dst->src[0]; // src ggml_tensor * src1 = dst->src[1]; // index - GGML_ASSERT(dst->type == GGML_TYPE_F32 || dst->type == GGML_TYPE_F16); + GGML_ASSERT(dst->type == GGML_TYPE_F32 || dst->type == GGML_TYPE_F16 + || dst->type == GGML_TYPE_BF16); switch (src0->type) { + case GGML_TYPE_BF16: case GGML_TYPE_F16: case GGML_TYPE_F32: if (src0->type == dst->type) { @@ -1881,6 +1883,7 @@ void ggml_cann_set_rows(ggml_backend_cann_context & ctx, ggml_tensor * dst) { break; } case GGML_TYPE_F16: + case GGML_TYPE_BF16: { acl_tensor_ptr acl_src0 = ggml_cann_create_tensor(src0); ggml_cann_pool_alloc src_buffer_allocator(ctx.pool(), ggml_nelements(src0) * sizeof(uint16_t)); @@ -1891,7 +1894,7 @@ void ggml_cann_set_rows(ggml_backend_cann_context & ctx, ggml_tensor * dst) { src_trans_nb[i] = src_trans_nb[i - 1] * src0->ne[i - 1]; } acl_tensor_ptr src_trans_tensor = ggml_cann_create_tensor( - src_trans_buffer, ACL_FLOAT16, ggml_type_size(dst->type), src0->ne, src_trans_nb, GGML_MAX_DIMS); + src_trans_buffer, ggml_cann_type_mapping(dst->type), ggml_type_size(dst->type), src0->ne, src_trans_nb, GGML_MAX_DIMS); aclnn_cast(ctx, acl_src0.get(), src_trans_tensor.get(), ggml_cann_type_mapping(dst->type)); aclnn_index_copy_4d(ctx, src_trans_buffer, src0->ne, src_trans_nb, dst->data, dst->ne, dst->nb, src1, dst->type); @@ -1965,7 +1968,7 @@ static void ggml_cann_mat_mul_fp(ggml_backend_cann_context & ctx, ggml_tensor * // Only check env once. static bool weight_to_nz = parse_bool(get_env_as_lowercase("GGML_CANN_WEIGHT_NZ").value_or("on")); - if (weight_to_nz && is_matmul_weight(weight)) { + if (weight_to_nz && weight->type != GGML_TYPE_BF16 && is_matmul_weight(weight)) { acl_weight_tensor = ggml_cann_create_tensor(weight, transpose_ne, transpose_nb, n_dims, ACL_FORMAT_FRACTAL_NZ); } else { acl_weight_tensor = ggml_cann_create_tensor(weight, transpose_ne, transpose_nb, n_dims, ACL_FORMAT_ND); @@ -2146,6 +2149,9 @@ void ggml_cann_mul_mat(ggml_backend_cann_context & ctx, ggml_tensor * dst) { switch (type) { case GGML_TYPE_F32: case GGML_TYPE_F16: +#ifndef ASCEND_310P + case GGML_TYPE_BF16: +#endif ggml_cann_mat_mul_fp(ctx, dst); break; case GGML_TYPE_Q4_0: @@ -2943,6 +2949,27 @@ void ggml_cann_rope(ggml_backend_cann_context & ctx, ggml_tensor * dst) { // Rotate full tensor (no tail), using trans tensors GGML_CANN_CALL_ACLNN_OP(ctx, RotaryPositionEmbedding, acl_src_trans_tensor.get(), acl_cos_reshape_tensor.get(), acl_sin_reshape_tensor.get(), acl_mode, acl_dst_trans_tensor.get()); + } else if (src0->data == dst->data && !ggml_is_contiguous(src0)) { + // In-place on non-contiguous tensor: RotaryPositionEmbedding cannot safely + // read and write the same non-contiguous buffer. Use contiguous temporaries. + size_t contiguous_nb[GGML_MAX_DIMS]; + contiguous_nb[0] = sizeof(float); + for (int i = 1; i < GGML_MAX_DIMS; i++) { + contiguous_nb[i] = contiguous_nb[i - 1] * src0->ne[i - 1]; + } + int64_t total_elements = ggml_nelements(src0); + ggml_cann_pool_alloc inplace_src_alloc(ctx.pool(), total_elements * sizeof(float)); + ggml_cann_pool_alloc inplace_dst_alloc(ctx.pool(), total_elements * sizeof(float)); + + acl_tensor_ptr acl_src_contig = ggml_cann_create_tensor(inplace_src_alloc.get(), ACL_FLOAT, sizeof(float), + src0->ne, contiguous_nb, GGML_MAX_DIMS); + acl_tensor_ptr acl_dst_contig = ggml_cann_create_tensor(inplace_dst_alloc.get(), ACL_FLOAT, sizeof(float), + dst->ne, contiguous_nb, GGML_MAX_DIMS); + + cann_copy(ctx, acl_src.get(), acl_src_contig.get()); + GGML_CANN_CALL_ACLNN_OP(ctx, RotaryPositionEmbedding, acl_src_contig.get(), acl_cos_reshape_tensor.get(), + acl_sin_reshape_tensor.get(), acl_mode, acl_dst_contig.get()); + cann_copy(ctx, acl_dst_contig.get(), acl_dst.get()); } else { // Rotate full tensor (no tail), using original tensors GGML_CANN_CALL_ACLNN_OP(ctx, RotaryPositionEmbedding, acl_src.get(), acl_cos_reshape_tensor.get(), @@ -3599,6 +3626,44 @@ void ggml_cann_flash_attn_ext(ggml_backend_cann_context & ctx, ggml_tensor * dst acl_k_tensor = ggml_cann_create_tensor(src1, src1_bsnd_ne, src1_bsnd_nb, GGML_MAX_DIMS); acl_v_tensor = ggml_cann_create_tensor(src2, src2_bsnd_ne, src2_bsnd_nb, GGML_MAX_DIMS); + // Step 2.5: Pad Q, K, V along head dimension if D is not a multiple of 16 + // (required by FusedInferAttentionScoreV2) + const int64_t D = src0->ne[0]; + const int64_t D_padded = GGML_PAD(D, 16); + const bool needs_padding = (D != D_padded); + + ggml_cann_pool_alloc q_pad_allocator(ctx.pool()); + ggml_cann_pool_alloc k_pad_allocator(ctx.pool()); + ggml_cann_pool_alloc v_pad_allocator(ctx.pool()); + + if (needs_padding) { + int64_t paddings[] = { 0, D_padded - D, 0, 0, 0, 0, 0, 0 }; + + auto pad_fa_tensor = [&](acl_tensor_ptr & tensor, const int64_t * bsnd_ne, + ggml_cann_pool_alloc & allocator) { + int64_t pad_ne[GGML_MAX_DIMS] = { D_padded, bsnd_ne[1], bsnd_ne[2], bsnd_ne[3] }; + size_t pad_nb[GGML_MAX_DIMS]; + pad_nb[0] = faElemSize; + for (int i = 1; i < GGML_MAX_DIMS; ++i) { + pad_nb[i] = pad_nb[i - 1] * pad_ne[i - 1]; + } + int64_t nelements = pad_ne[0] * pad_ne[1] * pad_ne[2] * pad_ne[3]; + void * buffer = allocator.alloc(nelements * faElemSize); + acl_tensor_ptr padded = + ggml_cann_create_tensor(buffer, faDataType, faElemSize, pad_ne, pad_nb, GGML_MAX_DIMS); + aclnn_pad(ctx, tensor.get(), padded.get(), paddings); + tensor = std::move(padded); + }; + + pad_fa_tensor(acl_q_tensor, src0_bsnd_ne, q_pad_allocator); + pad_fa_tensor(acl_k_tensor, src1_bsnd_ne, k_pad_allocator); + pad_fa_tensor(acl_v_tensor, src2_bsnd_ne, v_pad_allocator); + + src0_bsnd_ne[0] = D_padded; + src1_bsnd_ne[0] = D_padded; + src2_bsnd_ne[0] = D_padded; + } + // Step 3: create the PSEShift tensor if needed // this tensor is considered as mask (f16) in the llama.cpp acl_tensor_ptr bcast_pse_tensor; @@ -3688,17 +3753,16 @@ void ggml_cann_flash_attn_ext(ggml_backend_cann_context & ctx, ggml_tensor * dst GGML_ASSERT(dst->type == GGML_TYPE_F32 || dst->type == GGML_TYPE_F16); acl_tensor_ptr fa_dst_tensor; - acl_tensor_ptr acl_dst_tensor; ggml_cann_pool_alloc out_f16_allocator(ctx.pool()); - if (dst->type == GGML_TYPE_F32) { - void * out_f16_buffer = out_f16_allocator.alloc(ggml_nelements(dst) * faElemSize); - + if (dst->type == GGML_TYPE_F32 || needs_padding) { int64_t * out_f16_ne = src0_bsnd_ne; size_t out_f16_nb[GGML_MAX_DIMS]; out_f16_nb[0] = faElemSize; for (int i = 1; i < GGML_MAX_DIMS; ++i) { out_f16_nb[i] = out_f16_nb[i - 1] * out_f16_ne[i - 1]; } + int64_t out_nelements = out_f16_ne[0] * out_f16_ne[1] * out_f16_ne[2] * out_f16_ne[3]; + void * out_f16_buffer = out_f16_allocator.alloc(out_nelements * faElemSize); fa_dst_tensor = ggml_cann_create_tensor(out_f16_buffer, faDataType, faElemSize, out_f16_ne, out_f16_nb, GGML_MAX_DIMS); @@ -3730,8 +3794,33 @@ void ggml_cann_flash_attn_ext(ggml_backend_cann_context & ctx, ggml_tensor * dst nullptr // softmaxLse ); - if (dst->type == GGML_TYPE_F32) { - // Step 6: post-processing, permute and cast to f32 + // Step 6: post-processing — slice padded output and/or cast to f32 + if (needs_padding) { + ggml_cann_pool_alloc sliced_f16_allocator(ctx.pool()); + + if (dst->type == GGML_TYPE_F32) { + int64_t sliced_ne[GGML_MAX_DIMS] = { D, src0_bsnd_ne[1], src0_bsnd_ne[2], src0_bsnd_ne[3] }; + size_t sliced_nb[GGML_MAX_DIMS]; + sliced_nb[0] = faElemSize; + for (int i = 1; i < GGML_MAX_DIMS; ++i) { + sliced_nb[i] = sliced_nb[i - 1] * sliced_ne[i - 1]; + } + int64_t sliced_nelements = sliced_ne[0] * sliced_ne[1] * sliced_ne[2] * sliced_ne[3]; + void * sliced_buffer = sliced_f16_allocator.alloc(sliced_nelements * faElemSize); + acl_tensor_ptr sliced_f16_tensor = ggml_cann_create_tensor(sliced_buffer, faDataType, faElemSize, + sliced_ne, sliced_nb, GGML_MAX_DIMS); + + GGML_CANN_CALL_ACLNN_OP(ctx, Slice, fa_dst_tensor.get(), + (int64_t) -1, (int64_t) 0, D, (int64_t) 1, sliced_f16_tensor.get()); + + acl_tensor_ptr acl_dst_tensor = ggml_cann_create_tensor(dst); + aclnn_cast(ctx, sliced_f16_tensor.get(), acl_dst_tensor.get(), ggml_cann_type_mapping(dst->type)); + } else { + acl_tensor_ptr acl_dst_tensor = ggml_cann_create_tensor(dst); + GGML_CANN_CALL_ACLNN_OP(ctx, Slice, fa_dst_tensor.get(), + (int64_t) -1, (int64_t) 0, D, (int64_t) 1, acl_dst_tensor.get()); + } + } else if (dst->type == GGML_TYPE_F32) { acl_tensor_ptr acl_dst_tensor = ggml_cann_create_tensor(dst); aclnn_cast(ctx, fa_dst_tensor.get(), acl_dst_tensor.get(), ggml_cann_type_mapping(dst->type)); } diff --git a/ggml/src/ggml-cann/ggml-cann.cpp b/ggml/src/ggml-cann/ggml-cann.cpp index 3f3de9f0bc..2f9c350789 100644 --- a/ggml/src/ggml-cann/ggml-cann.cpp +++ b/ggml/src/ggml-cann/ggml-cann.cpp @@ -1234,7 +1234,8 @@ static void ggml_backend_cann_buffer_set_tensor(ggml_backend_buffer_t buffer, static bool weight_to_nz = parse_bool(get_env_as_lowercase("GGML_CANN_WEIGHT_NZ").value_or("on")); if (!need_transform(tensor->type)) { ACL_CHECK(aclrtMemcpy((char *) tensor->data + offset, size, data, size, ACL_MEMCPY_HOST_TO_DEVICE)); - if (weight_to_nz && is_matmul_weight((const ggml_tensor *) tensor)) { + if (weight_to_nz && tensor->type != GGML_TYPE_BF16 + && is_matmul_weight((const ggml_tensor *) tensor)) { GGML_ASSERT(tensor->ne[2] == 1); GGML_ASSERT(tensor->ne[3] == 1); weight_format_to_nz(tensor, offset, ctx->device); @@ -1443,7 +1444,8 @@ static size_t ggml_backend_cann_buffer_type_get_alloc_size(ggml_backend_buffer_t if (ne0 % MATRIX_ROW_PADDING != 0) { size += ggml_row_size(tensor->type, MATRIX_ROW_PADDING - ne0 % MATRIX_ROW_PADDING); } - } else if (weight_to_nz && is_matmul_weight((const ggml_tensor *) tensor)) { + } else if (weight_to_nz && tensor->type != GGML_TYPE_BF16 + && is_matmul_weight((const ggml_tensor *) tensor)) { // NZ format weight are not support quantized yet. // If ND tensor transform to NZ, size may changed. int64_t shape[] = { tensor->ne[1], tensor->ne[0] }; @@ -2283,6 +2285,9 @@ static bool ggml_backend_cann_supports_op(ggml_backend_dev_t dev, const ggml_ten case GGML_OP_MUL_MAT: { switch (op->src[0]->type) { +#ifndef ASCEND_310P + case GGML_TYPE_BF16: +#endif case GGML_TYPE_F16: case GGML_TYPE_F32: return true; @@ -2320,6 +2325,9 @@ static bool ggml_backend_cann_supports_op(ggml_backend_dev_t dev, const ggml_ten switch (op->src[0]->type) { case GGML_TYPE_F32: case GGML_TYPE_F16: +#ifndef ASCEND_310P + case GGML_TYPE_BF16: +#endif case GGML_TYPE_Q8_0: return true; default: @@ -2332,6 +2340,9 @@ static bool ggml_backend_cann_supports_op(ggml_backend_dev_t dev, const ggml_ten switch (op->type) { case GGML_TYPE_F32: case GGML_TYPE_F16: +#ifndef ASCEND_310P + case GGML_TYPE_BF16: +#endif return true; default: return false; @@ -2341,20 +2352,30 @@ static bool ggml_backend_cann_supports_op(ggml_backend_dev_t dev, const ggml_ten case GGML_OP_CPY: { ggml_tensor * src = op->src[0]; +#ifdef ASCEND_310P if ((op->type != GGML_TYPE_F32 && op->type != GGML_TYPE_F16) || (src->type != GGML_TYPE_F32 && src->type != GGML_TYPE_F16)) { - // only support F32 and F16. + // only support F32 and F16 on 310P. return false; } +#else + if ((op->type != GGML_TYPE_F32 && op->type != GGML_TYPE_F16 && op->type != GGML_TYPE_BF16) || + (src->type != GGML_TYPE_F32 && src->type != GGML_TYPE_F16 && src->type != GGML_TYPE_BF16)) { + // only support F32, F16 and BF16. + return false; + } +#endif return true; } break; case GGML_OP_CONT: { - // TODO: support GGML_TYPE_BF16 switch (op->src[0]->type) { case GGML_TYPE_F32: case GGML_TYPE_F16: +#ifndef ASCEND_310P + case GGML_TYPE_BF16: +#endif return true; default: return false; @@ -2503,10 +2524,6 @@ static bool ggml_backend_cann_supports_op(ggml_backend_dev_t dev, const ggml_ten // different head sizes of K and V are not supported yet return false; } - if (op->src[0]->ne[0] % 16 != 0) { - // TODO: padding to support - return false; - } float logitSoftcap = 0.0f; memcpy(&logitSoftcap, (const float *) (op->op_params) + 2, sizeof(float)); if (logitSoftcap != 0.0f) { diff --git a/ggml/src/ggml-common.h b/ggml/src/ggml-common.h index 93ab7ea446..92cf739e7a 100644 --- a/ggml/src/ggml-common.h +++ b/ggml/src/ggml-common.h @@ -102,6 +102,9 @@ typedef sycl::half2 ggml_half2; #define QI_MXFP4 (QK_MXFP4 / (4 * QR_MXFP4)) #define QR_MXFP4 2 +#define QI_NVFP4 (QK_NVFP4 / (4 * QR_NVFP4)) +#define QR_NVFP4 2 + #define QI5_0 (QK5_0 / (4 * QR5_0)) #define QR5_0 2 @@ -194,6 +197,14 @@ typedef struct { } block_mxfp4; static_assert(sizeof(block_mxfp4) == sizeof(uint8_t) + QK_MXFP4/2, "wrong mxfp4 block size/padding"); +#define QK_NVFP4 64 +#define QK_NVFP4_SUB 16 // sub-block size for per-group scales +typedef struct { + uint8_t d[QK_NVFP4/QK_NVFP4_SUB]; // UE4M3 scales (4 bytes, one per 16-element sub-block) + uint8_t qs[QK_NVFP4/2]; // packed 4-bit E2M1 values (32 bytes) +} block_nvfp4; +static_assert(sizeof(block_nvfp4) == sizeof(uint8_t)*(QK_NVFP4/QK_NVFP4_SUB) + QK_NVFP4/2, "wrong nvfp4 block size/padding"); + #define QK5_0 32 typedef struct { ggml_half d; // delta diff --git a/ggml/src/ggml-cpu/CMakeLists.txt b/ggml/src/ggml-cpu/CMakeLists.txt index 6ca3176a2f..1a1bbc9f2b 100644 --- a/ggml/src/ggml-cpu/CMakeLists.txt +++ b/ggml/src/ggml-cpu/CMakeLists.txt @@ -570,24 +570,36 @@ function(ggml_add_cpu_backend_variant_impl tag_name) set(KLEIDIAI_DOWNLOAD_URL "https://github.com/ARM-software/kleidiai/archive/refs/tags/${KLEIDIAI_COMMIT_TAG}.tar.gz") set(KLEIDIAI_ARCHIVE_MD5 "54049037570ab0ee0a0d126b2ba5ece1") - if (POLICY CMP0135) - cmake_policy(SET CMP0135 NEW) + set(KLEIDIAI_FETCH_ARGS + URL ${KLEIDIAI_DOWNLOAD_URL} + URL_HASH MD5=${KLEIDIAI_ARCHIVE_MD5} + ) + if (CMAKE_VERSION VERSION_GREATER_EQUAL "3.24") + list(APPEND KLEIDIAI_FETCH_ARGS DOWNLOAD_EXTRACT_TIMESTAMP NEW) endif() - # TODO: Use FetchContent_MakeAvailable with EXCLUDE_FROM_ALL after bumping minimum CMake version to 3.28+ - # Using FetchContent_Populate instead to avoid EXCLUDE_FROM_ALL which requires CMake 3.28 - FetchContent_Declare(KleidiAI_Download - URL ${KLEIDIAI_DOWNLOAD_URL} - DOWNLOAD_EXTRACT_TIMESTAMP NEW - URL_HASH MD5=${KLEIDIAI_ARCHIVE_MD5}) + if (CMAKE_VERSION VERSION_GREATER_EQUAL "3.28") + FetchContent_Declare(KleidiAI_Download + ${KLEIDIAI_FETCH_ARGS} + EXCLUDE_FROM_ALL + ) - FetchContent_GetProperties(KleidiAI_Download - SOURCE_DIR KLEIDIAI_SRC - POPULATED KLEIDIAI_POPULATED) - - if (NOT KLEIDIAI_POPULATED) - FetchContent_Populate(KleidiAI_Download) + FetchContent_MakeAvailable(KleidiAI_Download) FetchContent_GetProperties(KleidiAI_Download SOURCE_DIR KLEIDIAI_SRC) + else() + FetchContent_Declare(KleidiAI_Download + ${KLEIDIAI_FETCH_ARGS} + ) + + FetchContent_GetProperties(KleidiAI_Download + SOURCE_DIR KLEIDIAI_SRC + POPULATED KLEIDIAI_POPULATED + ) + + if (NOT KLEIDIAI_POPULATED) + FetchContent_Populate(KleidiAI_Download) + FetchContent_GetProperties(KleidiAI_Download SOURCE_DIR KLEIDIAI_SRC) + endif() endif() add_compile_definitions(GGML_USE_CPU_KLEIDIAI) diff --git a/ggml/src/ggml-cpu/arch-fallback.h b/ggml/src/ggml-cpu/arch-fallback.h index ebbd4b47e0..41da829315 100644 --- a/ggml/src/ggml-cpu/arch-fallback.h +++ b/ggml/src/ggml-cpu/arch-fallback.h @@ -15,6 +15,7 @@ #define ggml_vec_dot_q5_1_q8_1_generic ggml_vec_dot_q5_1_q8_1 #define ggml_vec_dot_q8_0_q8_0_generic ggml_vec_dot_q8_0_q8_0 #define ggml_vec_dot_mxfp4_q8_0_generic ggml_vec_dot_mxfp4_q8_0 +#define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0 #define ggml_vec_dot_tq1_0_q8_K_generic ggml_vec_dot_tq1_0_q8_K #define ggml_vec_dot_tq2_0_q8_K_generic ggml_vec_dot_tq2_0_q8_K #define ggml_vec_dot_q2_K_q8_K_generic ggml_vec_dot_q2_K_q8_K @@ -79,6 +80,8 @@ #define ggml_gemm_mxfp4_8x8_q8_0_generic ggml_gemm_mxfp4_8x8_q8_0 #define ggml_gemm_q2_K_8x8_q8_K_generic ggml_gemm_q2_K_8x8_q8_K #elif defined(__x86_64__) || defined(__i386__) || defined(_M_IX86) || defined(_M_X64) +// quants.c +#define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0 // repack.cpp #define ggml_quantize_mat_q8_0_4x4_generic ggml_quantize_mat_q8_0_4x4 #define ggml_quantize_mat_q8_K_4x4_generic ggml_quantize_mat_q8_K_4x4 @@ -108,6 +111,7 @@ // ref: https://github.com/ggml-org/llama.cpp/pull/14146#issuecomment-2972561679 // quants.c #define quantize_row_q8_K_generic quantize_row_q8_K +#define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0 #define ggml_vec_dot_tq1_0_q8_K_generic ggml_vec_dot_tq1_0_q8_K #define ggml_vec_dot_tq2_0_q8_K_generic ggml_vec_dot_tq2_0_q8_K #define ggml_vec_dot_iq1_m_q8_K_generic ggml_vec_dot_iq1_m_q8_K @@ -155,6 +159,7 @@ #define ggml_vec_dot_tq2_0_q8_K_generic ggml_vec_dot_tq2_0_q8_K #define ggml_vec_dot_iq1_m_q8_K_generic ggml_vec_dot_iq1_m_q8_K #define ggml_vec_dot_mxfp4_q8_0_generic ggml_vec_dot_mxfp4_q8_0 +#define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0 // repack.cpp #define ggml_quantize_mat_q8_0_4x4_generic ggml_quantize_mat_q8_0_4x4 #define ggml_quantize_mat_q8_0_4x8_generic ggml_quantize_mat_q8_0_4x8 @@ -194,16 +199,11 @@ #define ggml_gemm_q8_0_4x8_q8_0_generic ggml_gemm_q8_0_4x8_q8_0 #elif defined(__riscv) // quants.c -#define quantize_row_q8_K_generic quantize_row_q8_K -#define ggml_vec_dot_iq2_xxs_q8_K_generic ggml_vec_dot_iq2_xxs_q8_K -#define ggml_vec_dot_iq2_xs_q8_K_generic ggml_vec_dot_iq2_xs_q8_K -#define ggml_vec_dot_iq3_xxs_q8_K_generic ggml_vec_dot_iq3_xxs_q8_K -#define ggml_vec_dot_iq4_nl_q8_0_generic ggml_vec_dot_iq4_nl_q8_0 -#define ggml_vec_dot_iq4_xs_q8_K_generic ggml_vec_dot_iq4_xs_q8_K -#define ggml_vec_dot_mxfp4_q8_0_generic ggml_vec_dot_mxfp4_q8_0 +#define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0 // repack.cpp +#define ggml_quantize_mat_q8_0_4x1_generic ggml_quantize_mat_q8_0_4x1 #define ggml_quantize_mat_q8_0_4x4_generic ggml_quantize_mat_q8_0_4x4 -#define ggml_quantize_mat_q8_0_4x8_generic ggml_quantize_mat_q8_0_4x8 +#define ggml_quantize_mat_q8_K_4x1_generic ggml_quantize_mat_q8_K_4x1 #define ggml_quantize_mat_q8_K_4x4_generic ggml_quantize_mat_q8_K_4x4 #define ggml_quantize_mat_q8_K_4x8_generic ggml_quantize_mat_q8_K_4x8 #define ggml_gemv_q4_0_4x4_q8_0_generic ggml_gemv_q4_0_4x4_q8_0 @@ -239,6 +239,7 @@ #elif defined(__s390x__) // quants.c #define quantize_row_q8_K_generic quantize_row_q8_K +#define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0 #define ggml_vec_dot_tq1_0_q8_K_generic ggml_vec_dot_tq1_0_q8_K #define ggml_vec_dot_tq2_0_q8_K_generic ggml_vec_dot_tq2_0_q8_K #define ggml_vec_dot_q2_K_q8_K_generic ggml_vec_dot_q2_K_q8_K @@ -301,6 +302,7 @@ #define ggml_vec_dot_iq4_nl_q8_0_generic ggml_vec_dot_iq4_nl_q8_0 #define ggml_vec_dot_iq4_xs_q8_K_generic ggml_vec_dot_iq4_xs_q8_K #define ggml_vec_dot_mxfp4_q8_0_generic ggml_vec_dot_mxfp4_q8_0 +#define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0 // repack.cpp #define ggml_quantize_mat_q8_0_4x4_generic ggml_quantize_mat_q8_0_4x4 #define ggml_quantize_mat_q8_0_4x8_generic ggml_quantize_mat_q8_0_4x8 diff --git a/ggml/src/ggml-cpu/arch/arm/quants.c b/ggml/src/ggml-cpu/arch/arm/quants.c index a707d63985..82b048bb3a 100644 --- a/ggml/src/ggml-cpu/arch/arm/quants.c +++ b/ggml/src/ggml-cpu/arch/arm/quants.c @@ -650,6 +650,90 @@ void ggml_vec_dot_mxfp4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const vo *s = sumf; } +void ggml_vec_dot_nvfp4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { + assert(nrc == 1); + UNUSED(nrc); + UNUSED(bx); + UNUSED(by); + UNUSED(bs); + assert(n % QK_NVFP4 == 0); + + const block_nvfp4 * GGML_RESTRICT x = vx; + const block_q8_0 * GGML_RESTRICT y = vy; + + // Each NVFP4 super-block (64 elements) spans 2 q8_0 blocks + const int nb = n / QK_NVFP4; + + float sumf = 0; + +#if defined(__ARM_NEON) && defined(__ARM_FEATURE_FMA) + const int8x16_t values = vld1q_s8(kvalues_mxfp4); + const uint8x16_t m4b = vdupq_n_u8(0x0f); + float32x4_t acc = vdupq_n_f32(0.0f); + + for (int ib = 0; ib < nb; ++ib) { + const uint8x16_t q4bits_0 = vld1q_u8(x[ib].qs); + const uint8x16_t q4bits_1 = vld1q_u8(x[ib].qs + 16); + + const int8x16_t q4_lo_0 = ggml_vqtbl1q_s8(values, vandq_u8 (q4bits_0, m4b)); + const int8x16_t q4_hi_0 = ggml_vqtbl1q_s8(values, vshrq_n_u8(q4bits_0, 4)); + const int8x16_t q4_lo_1 = ggml_vqtbl1q_s8(values, vandq_u8 (q4bits_1, m4b)); + const int8x16_t q4_hi_1 = ggml_vqtbl1q_s8(values, vshrq_n_u8(q4bits_1, 4)); + + const int8x16_t q8_0a = vld1q_s8(y[2*ib].qs); + const int8x16_t q8_0b = vld1q_s8(y[2*ib].qs + 16); + const int8x16_t q8_lo_0 = vcombine_s8(vget_low_s8(q8_0a), vget_low_s8(q8_0b)); + const int8x16_t q8_hi_0 = vcombine_s8(vget_high_s8(q8_0a), vget_high_s8(q8_0b)); + + const int8x16_t q8_1a = vld1q_s8(y[2*ib+1].qs); + const int8x16_t q8_1b = vld1q_s8(y[2*ib+1].qs + 16); + const int8x16_t q8_lo_1 = vcombine_s8(vget_low_s8(q8_1a), vget_low_s8(q8_1b)); + const int8x16_t q8_hi_1 = vcombine_s8(vget_high_s8(q8_1a), vget_high_s8(q8_1b)); + + const int32x4_t p0 = vaddq_s32( + ggml_vdotq_s32(vdupq_n_s32(0), q4_lo_0, q8_lo_0), + ggml_vdotq_s32(vdupq_n_s32(0), q4_hi_0, q8_hi_0)); + const int32x4_t p1 = vaddq_s32( + ggml_vdotq_s32(vdupq_n_s32(0), q4_lo_1, q8_lo_1), + ggml_vdotq_s32(vdupq_n_s32(0), q4_hi_1, q8_hi_1)); + + const int32x4_t sums = vpaddq_s32(p0, p1); + + // Decode 4 UE4M3 scales to f32 and multiply with q8 scales + const float dy0 = GGML_CPU_FP16_TO_FP32(y[2*ib].d); + const float dy1 = GGML_CPU_FP16_TO_FP32(y[2*ib+1].d); + const float32x4_t nvsc = { + ggml_ue4m3_to_fp32(x[ib].d[0]), + ggml_ue4m3_to_fp32(x[ib].d[1]), + ggml_ue4m3_to_fp32(x[ib].d[2]), + ggml_ue4m3_to_fp32(x[ib].d[3]) + }; + const float32x4_t scales = vmulq_f32(nvsc, (float32x4_t){dy0, dy0, dy1, dy1}); + + acc = vfmaq_f32(acc, vcvtq_f32_s32(sums), scales); + } + sumf = vaddvq_f32(acc); +#else + for (int ib = 0; ib < nb; ++ib) { + for (int si = 0; si < 4; ++si) { + const float d = ggml_ue4m3_to_fp32(x[ib].d[si]); + const int q8b = si / 2; + const int q8o = (si % 2) * QK_NVFP4_SUB; + const float dy = GGML_CPU_FP16_TO_FP32(y[2*ib + q8b].d); + + int sumi_lo = 0, sumi_hi = 0; + for (int j = 0; j < QK_NVFP4_SUB/2; ++j) { + const uint8_t qv = x[ib].qs[si*(QK_NVFP4_SUB/2) + j]; + sumi_lo += y[2*ib + q8b].qs[q8o + j + 0] * kvalues_mxfp4[qv & 0xf]; + sumi_hi += y[2*ib + q8b].qs[q8o + j + QK_NVFP4_SUB/2] * kvalues_mxfp4[qv >> 4]; + } + sumf += dy * d * (sumi_lo + sumi_hi); + } + } +#endif + *s = sumf; +} + void ggml_vec_dot_q5_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { const int qk = QK8_0; const int nb = n / qk; diff --git a/ggml/src/ggml-cpu/arch/riscv/quants.c b/ggml/src/ggml-cpu/arch/riscv/quants.c index bf9f4df118..d7e9ba4634 100644 --- a/ggml/src/ggml-cpu/arch/riscv/quants.c +++ b/ggml/src/ggml-cpu/arch/riscv/quants.c @@ -113,6 +113,104 @@ void quantize_row_q8_1(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, i #endif } +void quantize_row_q8_K(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k) { + assert(k % QK_K == 0); + size_t nb = k / QK_K; + +#if defined(__riscv_v_intrinsic) + block_q8_K * y_blocks = (block_q8_K *)y; + const size_t vlmax_f32m8 = __riscv_vsetvlmax_e32m8(); + + for (size_t i = 0; i < nb; i++) { + const float* x_block = x + i * QK_K; + block_q8_K* y_block = &y_blocks[i]; + + // 1. Calculate Min/Max + vfloat32m8_t max_v = __riscv_vfmv_v_f_f32m8(-__builtin_inff(), vlmax_f32m8); + vfloat32m8_t min_v = __riscv_vfmv_v_f_f32m8(__builtin_inff(), vlmax_f32m8); + + size_t rem = QK_K; + size_t offset = 0; + while (rem > 0) { + size_t vl = __riscv_vsetvl_e32m8(rem); + vfloat32m8_t v_curr = __riscv_vle32_v_f32m8(x_block + offset, vl); + max_v = __riscv_vfmax_vv_f32m8(max_v, v_curr, vl); + min_v = __riscv_vfmin_vv_f32m8(min_v, v_curr, vl); + rem -= vl; + offset += vl; + } + + vfloat32m1_t v_init_max = __riscv_vfmv_s_f_f32m1(-__builtin_inff(), 1); + vfloat32m1_t v_init_min = __riscv_vfmv_s_f_f32m1(__builtin_inff(), 1); + + vfloat32m1_t v_scalar_max = __riscv_vfredmax_vs_f32m8_f32m1(max_v, v_init_max, vlmax_f32m8); + vfloat32m1_t v_scalar_min = __riscv_vfredmin_vs_f32m8_f32m1(min_v, v_init_min, vlmax_f32m8); + + float max_val = __riscv_vfmv_f_s_f32m1_f32(v_scalar_max); + float min_val = __riscv_vfmv_f_s_f32m1_f32(v_scalar_min); + + float amax = fabsf(max_val) > fabsf(min_val) ? fabsf(max_val) : fabsf(min_val); + + if (amax == 0.0f) { + y_block->d = 0.0f; + memset(y_block->qs, 0, QK_K); + memset(y_block->bsums, 0, sizeof(y_block->bsums)); + continue; + } + + const float iscale = -127.f / (fabsf(max_val) > fabsf(min_val) ? max_val : min_val); + y_block->d = 1.0f / iscale; + + // 2. Quantize and Calculate Sums + offset = 0; + rem = QK_K; + vint16m1_t v_zero_sum = __riscv_vmv_v_x_i16m1(0, 1); + + while (rem > 0) { + size_t vl = __riscv_vsetvl_e32m8(rem); + vfloat32m8_t v_f = __riscv_vle32_v_f32m8(x_block + offset, vl); + + v_f = __riscv_vfmul_vf_f32m8(v_f, iscale, vl); + + vint32m8_t v_i32 = __riscv_vfcvt_x_f_v_i32m8_rm(v_f, __RISCV_FRM_RNE, vl); + vint16m4_t v_i16 = __riscv_vnclip_wx_i16m4(v_i32, 0, __RISCV_VXRM_RNE, vl); + vint8m2_t v_q = __riscv_vnclip_wx_i8m2(v_i16, 0, __RISCV_VXRM_RNE, vl); + + __riscv_vse8_v_i8m2(y_block->qs + offset, v_q, vl); + + // first iteration clear + + int sum_idx; + vint8m1_t chunk_m1; + vint16m1_t v_sum; + sum_idx = offset / 16; + chunk_m1 = __riscv_vget_v_i8m2_i8m1(v_q, 0); + v_sum = __riscv_vwredsum_vs_i8m1_i16m1(chunk_m1, v_zero_sum, 16); + y_block->bsums[sum_idx] = (int16_t)__riscv_vmv_x_s_i16m1_i16(v_sum); + + // remaining iterations + vint8m2_t slid_q = v_q; + for (size_t k = 16; k < vl; k += 16) { + slid_q = __riscv_vslidedown_vx_i8m2(slid_q, 16, vl); + + sum_idx = (offset + k) / 16; + chunk_m1 = __riscv_vget_v_i8m2_i8m1(slid_q, 0); + + v_sum = __riscv_vwredsum_vs_i8m1_i16m1(chunk_m1, v_zero_sum, 16); + y_block->bsums[sum_idx] =(int16_t)__riscv_vmv_x_s_i16m1_i16(v_sum); + } + + rem -= vl; + offset += vl; + } + } +#else + GGML_UNUSED(nb); + // scalar + quantize_row_q8_K_ref(x, y, k); +#endif +} + //===================================== Dot products ================================= void ggml_vec_dot_q4_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { @@ -1954,544 +2052,7 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const voi #endif } -static const uint8_t sign_gather_indices_arr[64] = { - 0,0,0,0,0,0,0,0, 1,1,1,1,1,1,1,1, 2,2,2,2,2,2,2,2, 3,3,3,3,3,3,3,3, - 4,4,4,4,4,4,4,4, 5,5,5,5,5,5,5,5, 6,6,6,6,6,6,6,6, 7,7,7,7,7,7,7,7 -}; - -static const uint8_t sign_bit_masks_arr[64] = { - 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128, - 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128 -}; - -static void ggml_vec_dot_iq2_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { - assert(n % QK_K == 0); - UNUSED(nrc); UNUSED(bx); UNUSED(by); UNUSED(bs); - - const block_iq2_s * GGML_RESTRICT x = vx; - const block_q8_K * GGML_RESTRICT y = vy; - - const int nb = n / QK_K; - const uint64_t * grid64 = (const uint64_t *)iq2s_grid; - - // --- Pre-load Constants --- - uint16_t gather_qh_arr[8] = {0, 0, 0, 0, 1, 1, 1, 1}; - vuint16mf2_t v_gather_qh = __riscv_vle16_v_u16mf2(gather_qh_arr, 8); - uint16_t shift_qh_arr[8] = {11, 9, 7, 5, 11, 9, 7, 5}; - vuint16mf2_t v_shift_qh = __riscv_vle16_v_u16mf2(shift_qh_arr, 8); - - // Constants for sign extraction - vuint8m2_t v_sign_gather_indices = __riscv_vle8_v_u8m2(sign_gather_indices_arr, 64); - vuint8m2_t v_sign_masks = __riscv_vle8_v_u8m2(sign_bit_masks_arr, 64); - - float sumf = 0.0f; - - for (int i = 0; i < nb; ++i) { - const float combined_scale = GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d; - - const uint8_t * GGML_RESTRICT qs = x[i].qs; - const uint8_t * GGML_RESTRICT qh = x[i].qh; - const uint8_t * GGML_RESTRICT scales = x[i].scales; - const int8_t * GGML_RESTRICT q8 = y[i].qs; - - const uint8_t * signs_ptr = qs + 32; - - float sum_block = 0.0f; - - for (int ib = 0; ib < 4; ++ib) { - // Combine low + high bits - vuint8mf4_t v_qs_u8 = __riscv_vle8_v_u8mf4(qs, 8); - qs += 8; - uint16_t qh_val; - memcpy(&qh_val, qh, 2); - qh += 2; - vuint8mf8_t v_qh_raw = __riscv_vle8_v_u8mf8((const uint8_t*)&qh_val, 2); - vuint16mf4_t v_qh_u16 = __riscv_vwcvtu_x_x_v_u16mf4(v_qh_raw, 2); - vuint16mf2_t v_qh_u16_ext = __riscv_vlmul_ext_v_u16mf4_u16mf2(v_qh_u16); - vuint16mf2_t v_qh_expanded = __riscv_vrgather_vv_u16mf2(v_qh_u16_ext, v_gather_qh, 8); - v_qh_expanded = __riscv_vsll_vv_u16mf2(v_qh_expanded, v_shift_qh, 8); - - // Mask: We want bits 11-12. 0x1800 = 0001 1000 0000 0000 - v_qh_expanded = __riscv_vand_vx_u16mf2(v_qh_expanded, 0x1800, 8); - vuint16mf2_t v_qs_u16 = __riscv_vwcvtu_x_x_v_u16mf2(v_qs_u8, 8); - - // Multiply by 8 to get byte offset, instead of element offset - v_qs_u16 = __riscv_vsll_vx_u16mf2(v_qs_u16, 3, 8); - vuint16mf2_t v_grid_offsets = __riscv_vor_vv_u16mf2(v_qs_u16, v_qh_expanded, 8); - - // Lookup Grid using Byte Offsets - vuint64m2_t v_grid_vals = __riscv_vluxei16_v_u64m2(grid64, v_grid_offsets, 8); - - vuint8m2_t v_grid_u8 = __riscv_vreinterpret_v_u64m2_u8m2(v_grid_vals); - vint8m2_t v_grid_i8 = __riscv_vreinterpret_v_u8m2_i8m2(v_grid_u8); - - // Load signs and generate sign mask - vuint8mf4_t v_signs_raw = __riscv_vle8_v_u8mf4(signs_ptr, 8); - signs_ptr += 8; - - vuint8m2_t v_signs_source = __riscv_vlmul_ext_v_u8mf4_u8m2(v_signs_raw); - vuint8m2_t v_signs_bcast = __riscv_vrgather_vv_u8m2(v_signs_source, v_sign_gather_indices, 64); - - vuint8m2_t v_sign_bits = __riscv_vand_vv_u8m2(v_signs_bcast, v_sign_masks, 64); - vbool4_t m_negative = __riscv_vmsne_vx_u8m2_b4(v_sign_bits, 0, 64); - - vint8m2_t v_q8 = __riscv_vle8_v_i8m2(q8, 64); - q8 += 64; - - vint8m2_t v_q8_signed = __riscv_vrsub_vx_i8m2_mu(m_negative, v_q8, v_q8, 0, 64); - vint16m4_t v_dot = __riscv_vwmul_vv_i16m4(v_grid_i8, v_q8_signed, 64); - - vint32m1_t v_zero = __riscv_vmv_v_x_i32m1(0, 1); - - int32_t s0 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1( - __riscv_vget_v_i16m4_i16m1(v_dot, 0), v_zero, 16)); - int32_t s1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1( - __riscv_vget_v_i16m4_i16m1(v_dot, 1), v_zero, 16)); - int32_t s2 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1( - __riscv_vget_v_i16m4_i16m1(v_dot, 2), v_zero, 16)); - int32_t s3 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1( - __riscv_vget_v_i16m4_i16m1(v_dot, 3), v_zero, 16)); - - uint8_t sc0 = scales[0]; - uint8_t sc1 = scales[1]; - scales += 2; - - sum_block += s0 * (2 * (sc0 & 0xF) + 1); - sum_block += s1 * (2 * (sc0 >> 4) + 1); - sum_block += s2 * (2 * (sc1 & 0xF) + 1); - sum_block += s3 * (2 * (sc1 >> 4) + 1); - } - sumf += sum_block * combined_scale; - } - *s = 0.125f * sumf; -} - -static void ggml_vec_dot_iq2_s_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { - assert(n % QK_K == 0); - UNUSED(nrc); UNUSED(bx); UNUSED(by); UNUSED(bs); - - const block_iq2_s * GGML_RESTRICT x = vx; - const block_q8_K * GGML_RESTRICT y = vy; - - const int nb = n / QK_K; - const uint64_t * grid64 = (const uint64_t *)iq2s_grid; - - // Pre-load Constants - vuint8m2_t v_ids = __riscv_vid_v_u8m2(32); - vuint8m2_t v_sign_gather_indices = __riscv_vsrl_vx_u8m2(v_ids, 3, 32); - vuint8m2_t v_ones = __riscv_vmv_v_x_u8m2(1, 32); - vuint8m2_t v_shift_amts = __riscv_vand_vx_u8m2(v_ids, 7, 32); - vuint8m2_t v_sign_masks = __riscv_vsll_vv_u8m2(v_ones, v_shift_amts, 32); - uint16_t shift_qh_arr[4] = {11, 9, 7, 5}; - vuint16mf2_t v_shift_qh = __riscv_vle16_v_u16mf2(shift_qh_arr, 4); - - float sumf = 0.0f; - - for (int i = 0; i < nb; ++i) { - const float combined_scale = GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d; - - const uint8_t * GGML_RESTRICT qs = x[i].qs; - const uint8_t * GGML_RESTRICT qh = x[i].qh; - const uint8_t * GGML_RESTRICT scales = x[i].scales; - const int8_t * GGML_RESTRICT q8 = y[i].qs; - - const uint8_t * signs_ptr = qs + 32; - float sum_block = 0.0f; - - for (int ib = 0; ib < 8; ++ib) { - - // Load Low Bits [4 bytes] - vuint8mf4_t v_qs_u8 = __riscv_vle8_v_u8mf4(qs, 4); - qs += 4; - - // Load 1 byte. It contains bits for 4 mini-blocks. - uint8_t qh_val = *qh++; - - // Combine Low + High bits of 10bit indices - vuint8mf4_t v_qh_raw = __riscv_vmv_v_x_u8mf4(qh_val, 4); - vuint16mf2_t v_qh_u16 = __riscv_vwcvtu_x_x_v_u16mf2(v_qh_raw, 4); - vuint16mf2_t v_qh_mf2 = __riscv_vsll_vv_u16mf2(v_qh_u16, v_shift_qh, 4); - v_qh_mf2 = __riscv_vand_vx_u16mf2(v_qh_mf2, 0x1800, 4); - vuint16mf2_t v_qs_u16_mf2 = __riscv_vwcvtu_x_x_v_u16mf2(v_qs_u8, 4); - vuint16mf2_t v_qs_u16 = __riscv_vsll_vx_u16mf2(v_qs_u16_mf2, 3, 4); - vuint16mf2_t v_grid_offsets = __riscv_vor_vv_u16mf2(v_qs_u16, v_qh_mf2, 4); - - // Lookup Grid - vint8m2_t v_grid_i8 = __riscv_vreinterpret_v_u8m2_i8m2(__riscv_vreinterpret_v_u64m2_u8m2(__riscv_vluxei16_v_u64m2(grid64, v_grid_offsets, 4))); - - vuint8mf4_t v_signs_raw = __riscv_vle8_v_u8mf4(signs_ptr, 4); - signs_ptr += 4; - vuint8m2_t v_signs_source = __riscv_vlmul_ext_v_u8mf4_u8m2(v_signs_raw); - vuint8m2_t v_signs_bcast = __riscv_vrgather_vv_u8m2(v_signs_source, v_sign_gather_indices, 32); - - // generating sign mask - vuint8m2_t v_sign_bits = __riscv_vand_vv_u8m2(v_signs_bcast, v_sign_masks, 32); - vbool4_t m_negative = __riscv_vmsne_vx_u8m2_b4(v_sign_bits, 0, 32); - - vint8m2_t v_q8 = __riscv_vle8_v_i8m2(q8, 32); - q8 += 32; - - // apply signs - vint8m2_t v_q8_signed = __riscv_vrsub_vx_i8m2_mu(m_negative,v_q8, v_q8, 0, 32); - vint16m4_t v_dot = __riscv_vwmul_vv_i16m4(v_grid_i8, v_q8_signed, 32); - - // Reduction - vint32m1_t v_zero = __riscv_vmv_v_x_i32m1(0, 1); - - // Reduce 0-15 (First Half) - int32_t s0 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1( - __riscv_vget_v_i16m4_i16m2(v_dot, 0), v_zero, 16)); - - // Reduce 16-31 (Second Half) - int32_t s1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1( - __riscv_vget_v_i16m4_i16m2(v_dot, 1), v_zero, 16)); - - // Apply sub Scales - uint8_t sc = *scales++; - - sum_block += s0 * (2 * (sc & 0xF) + 1); - sum_block += s1 * (2 * (sc >> 4) + 1); - } - sumf += sum_block * combined_scale; - } - *s = 0.125f * sumf; -} - -void ggml_vec_dot_iq2_s_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { #if defined __riscv_v_intrinsic - switch (__riscv_vlenb() * 8) { - case 128: - ggml_vec_dot_iq2_s_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc); - break; - case 256: - ggml_vec_dot_iq2_s_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc); - break; - default: - ggml_vec_dot_iq2_s_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); - break; - } -#else - ggml_vec_dot_iq2_s_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); -#endif -} - -static void ggml_vec_dot_iq3_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { - assert(n % QK_K == 0); - UNUSED(nrc); - UNUSED(bx); - UNUSED(by); - UNUSED(bs); - - const block_iq3_s * GGML_RESTRICT x = vx; - const block_q8_K * GGML_RESTRICT y = vy; - - const int nb = n / QK_K; - - const uint64_t * grid64 = (const uint64_t *)iq3s_grid; - - // --- Pre-load Constants --- - const uint16_t qh_bit_shifts_arr[16] = { - 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 - }; - vuint8m2_t v_sign_gather_indices = __riscv_vle8_v_u8m2(sign_gather_indices_arr, 64); - vuint8m2_t v_sign_masks = __riscv_vle8_v_u8m2(sign_bit_masks_arr, 64); - vuint16m1_t v_qh_shifts = __riscv_vle16_v_u16m1(qh_bit_shifts_arr, 16); - - float sumf = 0.0f; - - for (int i = 0; i < nb; ++i) { - const float d = GGML_CPU_FP16_TO_FP32(x[i].d); - const float combined_scale = d * y[i].d; - - const uint8_t * GGML_RESTRICT qs = x[i].qs; - const uint8_t * GGML_RESTRICT qh = x[i].qh; - const uint8_t * GGML_RESTRICT scales = x[i].scales; - const uint8_t * GGML_RESTRICT signs = x[i].signs; - const int8_t * GGML_RESTRICT q8 = y[i].qs; - - float sum_block = 0.0f; - - // Loop: Process 64 weights (16 mini-blocks of 4) per iteration - for (int ib = 0; ib < 4; ++ib) { - - vuint8mf2_t v_qs_u8 = __riscv_vle8_v_u8mf2(qs, 16); - qs += 16; - - uint16_t qh_val; - memcpy(&qh_val, qh, 2); - qh += 2; - - vuint16m1_t v_qh_val = __riscv_vmv_v_x_u16m1(qh_val, 16); - // Extract bits: (qh >> i) & 1 - v_qh_val = __riscv_vsrl_vv_u16m1(v_qh_val, v_qh_shifts, 16); - v_qh_val = __riscv_vand_vx_u16m1(v_qh_val, 1, 16); - - vuint16m1_t v_qs_u16 = __riscv_vwcvtu_x_x_v_u16m1(v_qs_u8, 16); - v_qs_u16 = __riscv_vsll_vx_u16m1(v_qs_u16, 2, 16); - v_qh_val = __riscv_vsll_vx_u16m1(v_qh_val, 10, 16); - vuint16m1_t v_grid_offsets = __riscv_vor_vv_u16m1(v_qs_u16, v_qh_val, 16); - - // Grid value is 4xuint8 - vuint32m2_t v_grid_packed = __riscv_vluxei16_v_u32m2((const uint32_t *)grid64, v_grid_offsets, 16); - vuint8m2_t v_grid_u8 = __riscv_vreinterpret_v_u32m2_u8m2(v_grid_packed); - vuint8mf4_t v_signs_raw = __riscv_vle8_v_u8mf4(signs, 8); - signs += 8; - - // Generate sign mask - vuint8m2_t v_signs_source = __riscv_vlmul_ext_v_u8mf4_u8m2(v_signs_raw); - vuint8m2_t v_signs_bcast = __riscv_vrgather_vv_u8m2(v_signs_source, v_sign_gather_indices, 64); - vuint8m2_t v_sign_bits = __riscv_vand_vv_u8m2(v_signs_bcast, v_sign_masks, 64); - vbool4_t m_negative = __riscv_vmsne_vx_u8m2_b4(v_sign_bits, 0, 64); - - vint8m2_t v_q8 = __riscv_vle8_v_i8m2(q8, 64); - q8 += 64; - - // Apply Signs - vint8m2_t v_q8_signed = __riscv_vrsub_vx_i8m2_mu(m_negative, v_q8, v_q8, 0, 64); - vint16m4_t v_dot = __riscv_vwmulsu_vv_i16m4(v_q8_signed, v_grid_u8, 64); - - // Reduction - vint16m2_t v_dot_lo = __riscv_vget_v_i16m4_i16m2(v_dot, 0); - vint16m2_t v_dot_hi = __riscv_vget_v_i16m4_i16m2(v_dot, 1); - vint32m1_t v_zero = __riscv_vmv_v_x_i32m1(0, 1); - - int32_t s_lo = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(v_dot_lo, v_zero, 32)); - int32_t s_hi = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(v_dot_hi, v_zero, 32)); - - // Apply sub-scales - uint8_t sc_byte = *scales++; - int sc_lo = (sc_byte & 0xF) * 2 + 1; - int sc_hi = (sc_byte >> 4) * 2 + 1; - - sum_block += s_lo * sc_lo + s_hi * sc_hi; - } - sumf += sum_block * combined_scale; - } - *s = 0.125f * sumf; -} - -void ggml_vec_dot_iq3_s_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { -#if defined __riscv_v_intrinsic - switch (__riscv_vlenb() * 8) { - case 256: - ggml_vec_dot_iq3_s_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc); - break; - default: - ggml_vec_dot_iq3_s_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); - break; - } -#else - ggml_vec_dot_iq3_s_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); -#endif -} - -static void ggml_vec_dot_tq1_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { - assert(nrc == 1); - UNUSED(nrc); - UNUSED(bx); - UNUSED(by); - UNUSED(bs); - - const block_tq1_0 * GGML_RESTRICT x = vx; - const block_q8_K * GGML_RESTRICT y = vy; - - const int nb = n / QK_K; - - float sumf = 0.0f; - uint8_t pow[16] = {1, 1, 1, 1, 3, 3, 3, 3, 9, 9, 9, 9, 27, 27, 27, 27}; - - for (int i = 0; i < nb; i++) { - // First loop. - vint32m4_t suml1; - { - const int vl = 32; - vuint8m1_t tq = __riscv_vle8_v_u8m1(x[i].qs, vl); - - vuint16m2_t tq0 = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(tq, 3, vl), 8, vl); - vuint16m2_t tq1 = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(__riscv_vmul_vx_u8m1(tq, 3, vl), 3, vl), 8, vl); - vuint16m2_t tq2 = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(__riscv_vmul_vx_u8m1(tq, 9, vl), 3, vl), 8, vl); - vuint16m2_t tq3 = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(__riscv_vmul_vx_u8m1(tq, 27, vl), 3, vl), 8, vl); - vuint16m2_t tq4 = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(__riscv_vmul_vx_u8m1(tq, 81, vl), 3, vl), 8, vl); - - vint16m2_t q80 = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(y[i].qs + 0, vl), vl); - vint16m2_t q81 = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(y[i].qs + 32, vl), vl); - vint16m2_t q82 = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(y[i].qs + 64, vl), vl); - vint16m2_t q83 = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(y[i].qs + 96, vl), vl); - vint16m2_t q84 = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(y[i].qs + 128, vl), vl); - - vint16m2_t sum0 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq0, 1, vl)), q80, vl); - vint16m2_t sum1 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq1, 1, vl)), q81, vl); - vint16m2_t sum2 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq2, 1, vl)), q82, vl); - vint16m2_t sum3 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq3, 1, vl)), q83, vl); - vint16m2_t sum4 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq4, 1, vl)), q84, vl); - - vint32m4_t sumi0 = __riscv_vwadd_vv_i32m4(sum0, sum1, vl); - vint32m4_t sumi1 = __riscv_vwadd_vv_i32m4(sum2, sum3, vl); - suml1 = __riscv_vadd_vv_i32m4(__riscv_vwcvt_x_x_v_i32m4(sum4, vl), __riscv_vadd_vv_i32m4(sumi0, sumi1, vl), vl); - } - - // Second loop. - vint32m2_t suml2; - { - const int vl = 16; - vuint8mf2_t tq = __riscv_vle8_v_u8mf2(x[i].qs + 32, vl); - - vuint16m1_t tq0 = __riscv_vsrl_vx_u16m1(__riscv_vwmulu_vx_u16m1(tq, 3 * 1, vl), 8, vl); - vuint16m1_t tq1 = __riscv_vsrl_vx_u16m1(__riscv_vwmulu_vx_u16m1(__riscv_vmul_vx_u8mf2(tq, 3, vl), 3, vl), 8, vl); - vuint16m1_t tq2 = __riscv_vsrl_vx_u16m1(__riscv_vwmulu_vx_u16m1(__riscv_vmul_vx_u8mf2(tq, 9, vl), 3, vl), 8, vl); - vuint16m1_t tq3 = __riscv_vsrl_vx_u16m1(__riscv_vwmulu_vx_u16m1(__riscv_vmul_vx_u8mf2(tq, 27, vl), 3, vl), 8, vl); - vuint16m1_t tq4 = __riscv_vsrl_vx_u16m1(__riscv_vwmulu_vx_u16m1(__riscv_vmul_vx_u8mf2(tq, 81, vl), 3, vl), 8, vl); - - vint16m1_t q80 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 160, vl), vl); - vint16m1_t q81 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 176, vl), vl); - vint16m1_t q82 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 192, vl), vl); - vint16m1_t q83 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 208, vl), vl); - vint16m1_t q84 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 224, vl), vl); - - vint16m1_t sum0 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq0, 1, vl)), q80, vl); - vint16m1_t sum1 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq1, 1, vl)), q81, vl); - vint16m1_t sum2 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq2, 1, vl)), q82, vl); - vint16m1_t sum3 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq3, 1, vl)), q83, vl); - vint16m1_t sum4 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq4, 1, vl)), q84, vl); - - vint32m2_t sumi0 = __riscv_vwadd_vv_i32m2(sum0, sum1, vl); - vint32m2_t sumi1 = __riscv_vwadd_vv_i32m2(sum2, sum3, vl); - suml2 = __riscv_vadd_vv_i32m2(__riscv_vwcvt_x_x_v_i32m2(sum4, vl), __riscv_vadd_vv_i32m2(sumi0, sumi1, vl), vl); - } - - // Third loop. - vint32m2_t suml3; - { - const int vl = 16; - - uint32_t qh; - memcpy(&qh, &x[i].qh[0], 4); - // Prevent fusion with vmv. - __asm__ __volatile__("" : "+r"(qh)); - vuint8mf2_t tq = __riscv_vreinterpret_v_u32mf2_u8mf2(__riscv_vmv_v_x_u32mf2(qh, vl / 4)); - - vuint8mf2_t p = __riscv_vle8_v_u8mf2(pow, vl); - - vuint16m1_t tq0 = __riscv_vsrl_vx_u16m1(__riscv_vwmulu_vx_u16m1(__riscv_vmul_vv_u8mf2(tq, p, vl), 3, vl), 8, vl); - - vint16m1_t q80 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 240, vl), vl); - - vint16m1_t sum0 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq0, 1, vl)), q80, vl); - suml3 = __riscv_vwcvt_x_x_v_i32m2(sum0, vl); - } - - vint32m2_t sumb = __riscv_vadd_vv_i32m2(__riscv_vget_v_i32m4_i32m2(suml1, 0), __riscv_vget_v_i32m4_i32m2(suml1, 1), 16); - sumb = __riscv_vadd_vv_i32m2(sumb, suml2, 16); - sumb = __riscv_vadd_vv_i32m2(sumb, suml3, 16); - - vint32m1_t sum = __riscv_vredsum_vs_i32m2_i32m1(sumb, __riscv_vmv_v_x_i32m1(0, 1), 16); - sumf += __riscv_vmv_x_s_i32m1_i32(sum) * y[i].d * GGML_CPU_FP16_TO_FP32(x[i].d); - } - - *s = sumf; -} - -void ggml_vec_dot_tq1_0_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { -#if defined __riscv_v_intrinsic - switch (__riscv_vlenb() * 8) { - case 256: - ggml_vec_dot_tq1_0_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc); - break; - default: - ggml_vec_dot_tq1_0_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); - break; - } -#else - ggml_vec_dot_tq1_0_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); -#endif -} - -static void ggml_vec_dot_tq2_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { - assert(n % QK_K == 0); - assert(nrc == 1); - UNUSED(nrc); - UNUSED(bx); - UNUSED(by); - UNUSED(bs); - - const block_tq2_0 * GGML_RESTRICT x = vx; - const block_q8_K * GGML_RESTRICT y = vy; - - const int nb = n / QK_K; - - float sumf = 0.0f; - for (int i = 0; i < nb; ++i) { - int32_t sumi = 0; - - for (size_t j = 0; j < sizeof(x[0].qs); j += 32) { - const int8_t * py0 = &y[i].qs[j * 4 + 0 * 32]; - const int8_t * py1 = &y[i].qs[j * 4 + 1 * 32]; - const int8_t * py2 = &y[i].qs[j * 4 + 2 * 32]; - const int8_t * py3 = &y[i].qs[j * 4 + 3 * 32]; - const uint8_t* px = &x[i].qs[j]; - - size_t vlmax_16m2 = __riscv_vsetvl_e16m2(32); - vint16m2_t vacc16 = __riscv_vmv_v_x_i16m2(0, vlmax_16m2); - - size_t vl = __riscv_vsetvl_e8m1(32); - - vuint8m1_t vx_u8 = __riscv_vle8_v_u8m1(px, vl); - - vint8m1_t vy0 = __riscv_vle8_v_i8m1(py0 , vl); - vint8m1_t vy1 = __riscv_vle8_v_i8m1(py1, vl); - vint8m1_t vy2 = __riscv_vle8_v_i8m1(py2, vl); - vint8m1_t vy3 = __riscv_vle8_v_i8m1(py3, vl); - - // l=0 (bits 1:0) - vuint8m1_t t0 = __riscv_vand_vx_u8m1(vx_u8, 0x03, vl); - vint8m1_t vq0 = __riscv_vsub_vx_i8m1(__riscv_vreinterpret_v_u8m1_i8m1(t0), 1, vl); - - // l=1 (bits 3:2) - vuint8m1_t t1 = __riscv_vand_vx_u8m1(__riscv_vsrl_vx_u8m1(vx_u8, 2, vl), 0x03, vl); - vint8m1_t vq1 = __riscv_vsub_vx_i8m1(__riscv_vreinterpret_v_u8m1_i8m1(t1), 1, vl); - - // l=2 (bits 5:4) - vuint8m1_t t2 = __riscv_vand_vx_u8m1(__riscv_vsrl_vx_u8m1(vx_u8, 4, vl), 0x03, vl); - vint8m1_t vq2 = __riscv_vsub_vx_i8m1(__riscv_vreinterpret_v_u8m1_i8m1(t2), 1, vl); - - // l=3 (bits 7:6) - vuint8m1_t t3 = __riscv_vsrl_vx_u8m1(vx_u8, 6, vl); // No final AND needed as vsrl shifts in zeros - vint8m1_t vq3 = __riscv_vsub_vx_i8m1(__riscv_vreinterpret_v_u8m1_i8m1(t3), 1, vl); - - // 4. Multiply and accumulate - vacc16 = __riscv_vwmacc_vv_i16m2(vacc16, vq0, vy0, vl); - vacc16 = __riscv_vwmacc_vv_i16m2(vacc16, vq1, vy1, vl); - vacc16 = __riscv_vwmacc_vv_i16m2(vacc16, vq2, vy2, vl); - vacc16 = __riscv_vwmacc_vv_i16m2(vacc16, vq3, vy3, vl); - - vlmax_16m2 = __riscv_vsetvl_e16m2(32); - vint32m1_t vzero32 = __riscv_vmv_v_x_i32m1(0, 1); - vint32m1_t vred32 = __riscv_vwredsum_vs_i16m2_i32m1(vacc16, vzero32, vlmax_16m2); - - sumi += __riscv_vmv_x_s_i32m1_i32(vred32); - } - const float d = y[i].d * GGML_CPU_FP16_TO_FP32(x[i].d); - sumf += (float)sumi * d; - } - - *s = sumf; -} - -void ggml_vec_dot_tq2_0_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { -#if defined __riscv_v_intrinsic - switch (__riscv_vlenb() * 8) { - case 256: - ggml_vec_dot_tq2_0_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc); - break; - default: - ggml_vec_dot_tq2_0_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); - break; - } -#else - ggml_vec_dot_tq2_0_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); -#endif -} - static void ggml_vec_dot_iq1_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { assert(n % QK_K == 0); assert(nrc == 1); @@ -2587,6 +2148,7 @@ static void ggml_vec_dot_iq1_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t *s = sumf; } +#endif void ggml_vec_dot_iq1_s_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { #if defined __riscv_v_intrinsic @@ -2603,6 +2165,7 @@ void ggml_vec_dot_iq1_s_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo #endif } +#if defined __riscv_v_intrinsic static void ggml_vec_dot_iq1_m_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { assert(n % QK_K == 0); assert(nrc == 1); @@ -2709,6 +2272,7 @@ static void ggml_vec_dot_iq1_m_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t *s = sumf; } +#endif void ggml_vec_dot_iq1_m_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { #if defined __riscv_v_intrinsic @@ -2724,3 +2288,1336 @@ void ggml_vec_dot_iq1_m_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo ggml_vec_dot_iq1_m_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); #endif } + +#if defined __riscv_v_intrinsic +static const uint8_t sign_gather_indices_arr[64] = { + 0,0,0,0,0,0,0,0, 1,1,1,1,1,1,1,1, 2,2,2,2,2,2,2,2, 3,3,3,3,3,3,3,3, + 4,4,4,4,4,4,4,4, 5,5,5,5,5,5,5,5, 6,6,6,6,6,6,6,6, 7,7,7,7,7,7,7,7 +}; + +static const uint8_t sign_bit_masks_arr[64] = { + 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128, + 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128 +}; + + +static void ggml_vec_dot_iq2_s_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { + assert(n % QK_K == 0); + UNUSED(nrc); UNUSED(bx); UNUSED(by); UNUSED(bs); + + const block_iq2_s * GGML_RESTRICT x = vx; + const block_q8_K * GGML_RESTRICT y = vy; + + const int nb = n / QK_K; + const uint64_t * grid64 = (const uint64_t *)iq2s_grid; + + // Pre-load Constants + vuint8m2_t v_ids = __riscv_vid_v_u8m2(32); + vuint8m2_t v_sign_gather_indices = __riscv_vsrl_vx_u8m2(v_ids, 3, 32); + vuint8m2_t v_ones = __riscv_vmv_v_x_u8m2(1, 32); + vuint8m2_t v_shift_amts = __riscv_vand_vx_u8m2(v_ids, 7, 32); + vuint8m2_t v_sign_masks = __riscv_vsll_vv_u8m2(v_ones, v_shift_amts, 32); + uint16_t shift_qh_arr[4] = {11, 9, 7, 5}; + vuint16mf2_t v_shift_qh = __riscv_vle16_v_u16mf2(shift_qh_arr, 4); + + float sumf = 0.0f; + + for (int i = 0; i < nb; ++i) { + const float combined_scale = GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d; + + const uint8_t * GGML_RESTRICT qs = x[i].qs; + const uint8_t * GGML_RESTRICT qh = x[i].qh; + const uint8_t * GGML_RESTRICT scales = x[i].scales; + const int8_t * GGML_RESTRICT q8 = y[i].qs; + + const uint8_t * signs_ptr = qs + 32; + float sum_block = 0.0f; + + for (int ib = 0; ib < 8; ++ib) { + + // Load Low Bits [4 bytes] + vuint8mf4_t v_qs_u8 = __riscv_vle8_v_u8mf4(qs, 4); + qs += 4; + + // Load 1 byte. It contains bits for 4 mini-blocks. + uint8_t qh_val = *qh++; + + // Combine Low + High bits of 10bit indices + vuint8mf4_t v_qh_raw = __riscv_vmv_v_x_u8mf4(qh_val, 4); + vuint16mf2_t v_qh_u16 = __riscv_vwcvtu_x_x_v_u16mf2(v_qh_raw, 4); + vuint16mf2_t v_qh_mf2 = __riscv_vsll_vv_u16mf2(v_qh_u16, v_shift_qh, 4); + v_qh_mf2 = __riscv_vand_vx_u16mf2(v_qh_mf2, 0x1800, 4); + vuint16mf2_t v_qs_u16_mf2 = __riscv_vwcvtu_x_x_v_u16mf2(v_qs_u8, 4); + vuint16mf2_t v_qs_u16 = __riscv_vsll_vx_u16mf2(v_qs_u16_mf2, 3, 4); + vuint16mf2_t v_grid_offsets = __riscv_vor_vv_u16mf2(v_qs_u16, v_qh_mf2, 4); + + // Lookup Grid + vint8m2_t v_grid_i8 = __riscv_vreinterpret_v_u8m2_i8m2(__riscv_vreinterpret_v_u64m2_u8m2(__riscv_vluxei16_v_u64m2(grid64, v_grid_offsets, 4))); + + vuint8mf4_t v_signs_raw = __riscv_vle8_v_u8mf4(signs_ptr, 4); + signs_ptr += 4; + vuint8m2_t v_signs_source = __riscv_vlmul_ext_v_u8mf4_u8m2(v_signs_raw); + vuint8m2_t v_signs_bcast = __riscv_vrgather_vv_u8m2(v_signs_source, v_sign_gather_indices, 32); + + // generating sign mask + vuint8m2_t v_sign_bits = __riscv_vand_vv_u8m2(v_signs_bcast, v_sign_masks, 32); + vbool4_t m_negative = __riscv_vmsne_vx_u8m2_b4(v_sign_bits, 0, 32); + + vint8m2_t v_q8 = __riscv_vle8_v_i8m2(q8, 32); + q8 += 32; + + // apply signs + vint8m2_t v_q8_signed = __riscv_vrsub_vx_i8m2_mu(m_negative,v_q8, v_q8, 0, 32); + vint16m4_t v_dot = __riscv_vwmul_vv_i16m4(v_grid_i8, v_q8_signed, 32); + + // Reduction + vint32m1_t v_zero = __riscv_vmv_v_x_i32m1(0, 1); + + // Reduce 0-15 (First Half) + int32_t s0 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1( + __riscv_vget_v_i16m4_i16m2(v_dot, 0), v_zero, 16)); + + // Reduce 16-31 (Second Half) + int32_t s1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1( + __riscv_vget_v_i16m4_i16m2(v_dot, 1), v_zero, 16)); + + // Apply sub Scales + uint8_t sc = *scales++; + + sum_block += s0 * (2 * (sc & 0xF) + 1); + sum_block += s1 * (2 * (sc >> 4) + 1); + } + sumf += sum_block * combined_scale; + } + *s = 0.125f * sumf; +} + +static void ggml_vec_dot_iq2_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { + assert(n % QK_K == 0); + UNUSED(nrc); UNUSED(bx); UNUSED(by); UNUSED(bs); + + const block_iq2_s * GGML_RESTRICT x = vx; + const block_q8_K * GGML_RESTRICT y = vy; + + const int nb = n / QK_K; + const uint64_t * grid64 = (const uint64_t *)iq2s_grid; + + // --- Pre-load Constants --- + uint16_t gather_qh_arr[8] = {0, 0, 0, 0, 1, 1, 1, 1}; + vuint16mf2_t v_gather_qh = __riscv_vle16_v_u16mf2(gather_qh_arr, 8); + uint16_t shift_qh_arr[8] = {11, 9, 7, 5, 11, 9, 7, 5}; + vuint16mf2_t v_shift_qh = __riscv_vle16_v_u16mf2(shift_qh_arr, 8); + + // Constants for sign extraction + vuint8m2_t v_sign_gather_indices = __riscv_vle8_v_u8m2(sign_gather_indices_arr, 64); + vuint8m2_t v_sign_masks = __riscv_vle8_v_u8m2(sign_bit_masks_arr, 64); + + float sumf = 0.0f; + + for (int i = 0; i < nb; ++i) { + const float combined_scale = GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d; + + const uint8_t * GGML_RESTRICT qs = x[i].qs; + const uint8_t * GGML_RESTRICT qh = x[i].qh; + const uint8_t * GGML_RESTRICT scales = x[i].scales; + const int8_t * GGML_RESTRICT q8 = y[i].qs; + + const uint8_t * signs_ptr = qs + 32; + + float sum_block = 0.0f; + + for (int ib = 0; ib < 4; ++ib) { + // Combine low + high bits + vuint8mf4_t v_qs_u8 = __riscv_vle8_v_u8mf4(qs, 8); + qs += 8; + uint16_t qh_val; + memcpy(&qh_val, qh, 2); + qh += 2; + vuint8mf8_t v_qh_raw = __riscv_vle8_v_u8mf8((const uint8_t*)&qh_val, 2); + vuint16mf4_t v_qh_u16 = __riscv_vwcvtu_x_x_v_u16mf4(v_qh_raw, 2); + vuint16mf2_t v_qh_u16_ext = __riscv_vlmul_ext_v_u16mf4_u16mf2(v_qh_u16); + vuint16mf2_t v_qh_expanded = __riscv_vrgather_vv_u16mf2(v_qh_u16_ext, v_gather_qh, 8); + v_qh_expanded = __riscv_vsll_vv_u16mf2(v_qh_expanded, v_shift_qh, 8); + + // Mask: We want bits 11-12. 0x1800 = 0001 1000 0000 0000 + v_qh_expanded = __riscv_vand_vx_u16mf2(v_qh_expanded, 0x1800, 8); + vuint16mf2_t v_qs_u16 = __riscv_vwcvtu_x_x_v_u16mf2(v_qs_u8, 8); + + // Multiply by 8 to get byte offset, instead of element offset + v_qs_u16 = __riscv_vsll_vx_u16mf2(v_qs_u16, 3, 8); + vuint16mf2_t v_grid_offsets = __riscv_vor_vv_u16mf2(v_qs_u16, v_qh_expanded, 8); + + // Lookup Grid using Byte Offsets + vuint64m2_t v_grid_vals = __riscv_vluxei16_v_u64m2(grid64, v_grid_offsets, 8); + + vuint8m2_t v_grid_u8 = __riscv_vreinterpret_v_u64m2_u8m2(v_grid_vals); + vint8m2_t v_grid_i8 = __riscv_vreinterpret_v_u8m2_i8m2(v_grid_u8); + + // Load signs and generate sign mask + vuint8mf4_t v_signs_raw = __riscv_vle8_v_u8mf4(signs_ptr, 8); + signs_ptr += 8; + + vuint8m2_t v_signs_source = __riscv_vlmul_ext_v_u8mf4_u8m2(v_signs_raw); + vuint8m2_t v_signs_bcast = __riscv_vrgather_vv_u8m2(v_signs_source, v_sign_gather_indices, 64); + + vuint8m2_t v_sign_bits = __riscv_vand_vv_u8m2(v_signs_bcast, v_sign_masks, 64); + vbool4_t m_negative = __riscv_vmsne_vx_u8m2_b4(v_sign_bits, 0, 64); + + vint8m2_t v_q8 = __riscv_vle8_v_i8m2(q8, 64); + q8 += 64; + + vint8m2_t v_q8_signed = __riscv_vrsub_vx_i8m2_mu(m_negative, v_q8, v_q8, 0, 64); + vint16m4_t v_dot = __riscv_vwmul_vv_i16m4(v_grid_i8, v_q8_signed, 64); + + vint32m1_t v_zero = __riscv_vmv_v_x_i32m1(0, 1); + + int32_t s0 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1( + __riscv_vget_v_i16m4_i16m1(v_dot, 0), v_zero, 16)); + int32_t s1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1( + __riscv_vget_v_i16m4_i16m1(v_dot, 1), v_zero, 16)); + int32_t s2 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1( + __riscv_vget_v_i16m4_i16m1(v_dot, 2), v_zero, 16)); + int32_t s3 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1( + __riscv_vget_v_i16m4_i16m1(v_dot, 3), v_zero, 16)); + + uint8_t sc0 = scales[0]; + uint8_t sc1 = scales[1]; + scales += 2; + + sum_block += s0 * (2 * (sc0 & 0xF) + 1); + sum_block += s1 * (2 * (sc0 >> 4) + 1); + sum_block += s2 * (2 * (sc1 & 0xF) + 1); + sum_block += s3 * (2 * (sc1 >> 4) + 1); + } + sumf += sum_block * combined_scale; + } + *s = 0.125f * sumf; +} +#endif + +void ggml_vec_dot_iq2_s_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { +#if defined __riscv_v_intrinsic + switch (__riscv_vlenb() * 8) { + case 128: + ggml_vec_dot_iq2_s_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc); + break; + case 256: + ggml_vec_dot_iq2_s_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc); + break; + default: + ggml_vec_dot_iq2_s_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); + break; + } +#else + ggml_vec_dot_iq2_s_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); +#endif +} + +#if defined(__riscv_v_intrinsic) +static const int8_t keven_signs_q2xs[1024] = { + 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, 1, 1, 1, 1, + 1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, 1, 1, -1, + 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, 1, 1, -1, + 1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, 1, + 1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, + 1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, 1, + 1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, + 1, 1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1, + 1, 1, 1, 1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, -1, + 1, 1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, 1, + 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, + 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, -1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, + 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, 1, -1, -1, 1, 1, + 1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, -1, + 1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, + 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, -1, -1, -1, 1, -1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, 1, 1, + 1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, -1, + 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, + 1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1, 1, + 1, 1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, + 1, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, + 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, 1, -1, -1, + 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, -1, + 1, 1, -1, -1, -1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, 1, + 1, 1, 1, 1, 1, -1, -1, 1, -1, 1, 1, 1, 1, -1, -1, -1, 1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, + 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, 1, -1, -1, -1, + 1, 1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1, -1, -1, + 1, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1, -1, 1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, 1, + 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, + 1, 1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, 1, + 1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, + 1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, +}; + +static void ggml_vec_dot_iq2_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { + assert(n % QK_K == 0); + assert(nrc == 1); + UNUSED(nrc); + UNUSED(bx); + UNUSED(by); + UNUSED(bs); + + const block_iq2_xs * GGML_RESTRICT x = vx; + const block_q8_K * GGML_RESTRICT y = vy; + + const int nb = n / QK_K; + const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs; + const uint64_t * grid64 = (const uint64_t *)iq2xs_grid; + + float sumf = 0.0f; + + for (int i = 0; i < nb; ++i) { + const float d = GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d; + const uint16_t * GGML_RESTRICT qs = x[i].qs; + const int8_t * GGML_RESTRICT q8 = y[i].qs; + const uint8_t * GGML_RESTRICT scales = x[i].scales; + + int32_t sum_int = 0; + + // Loop over 4 subblocks of 64 elements (QK_K = 256) + for (int ib64 = 0; ib64 < QK_K / 64; ++ib64) { + // Load 8 uint16 indices (controls 64 values) + vuint16mf2_t v_qs = __riscv_vle16_v_u16mf2(qs, 8); + qs += 8; + + // Extract indices for grid (low 9 bits) and signs (high 7 bits) + // Multiply by 8 (<< 3) for byte offsets into the uint64 tables + vuint16mf2_t vidx_grid = __riscv_vsll_vx_u16mf2(__riscv_vand_vx_u16mf2(v_qs, 511, 8), 3, 8); + vuint16mf2_t vidx_sign = __riscv_vsll_vx_u16mf2(__riscv_vsrl_vx_u16mf2(v_qs, 9, 8), 3, 8); + + vuint64m2_t vq2_64 = __riscv_vluxei16_v_u64m2(grid64, vidx_grid, 8); + vuint64m2_t vs2_64 = __riscv_vluxei16_v_u64m2(signs64, vidx_sign, 8); + + vint8m2_t q2u = __riscv_vreinterpret_v_u8m2_i8m2(__riscv_vreinterpret_v_u64m2_u8m2(vq2_64)); + vint8m2_t q2s = __riscv_vreinterpret_v_u8m2_i8m2(__riscv_vreinterpret_v_u64m2_u8m2(vs2_64)); + + vint8m2_t q2_final = __riscv_vmul_vv_i8m2(q2u, q2s, 64); + + vint8m2_t q8v = __riscv_vle8_v_i8m2(q8, 64); + q8 += 64; + + vint16m4_t prod = __riscv_vwmul_vv_i16m4(q2_final, q8v, 64); + + vint32m1_t zero_vec = __riscv_vmv_v_x_i32m1(0, 1); + + int32_t sum0 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1( + __riscv_vget_v_i16m4_i16m1(prod, 0), zero_vec, 16)); + int32_t sum1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1( + __riscv_vget_v_i16m4_i16m1(prod, 1), zero_vec, 16)); + int32_t sum2 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1( + __riscv_vget_v_i16m4_i16m1(prod, 2), zero_vec, 16)); + int32_t sum3 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m1_i32m1( + __riscv_vget_v_i16m4_i16m1(prod, 3), zero_vec, 16)); + + const uint8_t scale_byte_1 = scales[0]; + const uint8_t scale_byte_2 = scales[1]; + scales += 2; + + sum_int += sum0 * ((scale_byte_1 & 0x0F) * 2 + 1); + sum_int += sum1 * ((scale_byte_1 >> 4) * 2 + 1); + sum_int += sum2 * ((scale_byte_2 & 0x0F) * 2 + 1); + sum_int += sum3 * ((scale_byte_2 >> 4) * 2 + 1); + } + + sumf += d * sum_int; + } + *s = 0.125f * sumf; +} +#endif + +void ggml_vec_dot_iq2_xs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { +#if defined __riscv_v_intrinsic + switch (__riscv_vlenb() * 8) { + case 256: + ggml_vec_dot_iq2_xs_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc); + break; + default: + ggml_vec_dot_iq2_xs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); + break; + } +#else + ggml_vec_dot_iq2_xs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); +#endif +} + +#if defined __riscv_v_intrinsic +static void ggml_vec_dot_iq2_xxs_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { + assert(n % QK_K == 0); + assert(nrc == 1); + UNUSED(nrc); + UNUSED(bx); + UNUSED(by); + UNUSED(bs); + + const block_iq2_xxs * GGML_RESTRICT x = vx; + const block_q8_K * GGML_RESTRICT y = vy; + + const int nb = n / QK_K; + const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs; + const uint64_t * grid64 = (const uint64_t *)iq2xxs_grid; + + uint32_t shift_constants[4] = {0, 7, 14, 21}; + vuint32m1_t v_shifts = __riscv_vle32_v_u32m1(shift_constants, 4); + + float sumf = 0.0f; + for (int i = 0; i < nb; ++i) { + const float combined_scale = GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d; + + const uint8_t * GGML_RESTRICT q2_ptr = (const uint8_t *) x[i].qs; + const int8_t * GGML_RESTRICT q8 = y[i].qs; + + float sum = 0.0f; + + #pragma GCC unroll 1 + for (int ib32 = 0; ib32 < QK_K / 32; ib32 += 2) { + vint8m2_t q8_1 = __riscv_vle8_v_i8m2(q8, 32); q8 += 32; + vint8m2_t q8_2 = __riscv_vle8_v_i8m2(q8, 32); q8 += 32; + + vuint8mf4_t v_raw_q2_1 = __riscv_vle8_v_u8mf4(q2_ptr, 4); + vuint8mf4_t v_raw_q2_2 = __riscv_vle8_v_u8mf4(q2_ptr + 8, 4); + + vuint16mf2_t vidx_q2_1 = __riscv_vwcvtu_x_x_v_u16mf2(v_raw_q2_1, 4); + vuint16mf2_t vidx_q2_2 = __riscv_vwcvtu_x_x_v_u16mf2(v_raw_q2_2, 4); + + vidx_q2_1 = __riscv_vsll_vx_u16mf2(vidx_q2_1, 3, 4); + vidx_q2_2 = __riscv_vsll_vx_u16mf2(vidx_q2_2, 3, 4); + + uint32_t s_packed_1, s_packed_2; + memcpy(&s_packed_1, q2_ptr + 4, 4); + memcpy(&s_packed_2, q2_ptr + 12, 4); + + vuint32m1_t v_s_1 = __riscv_vmv_v_x_u32m1(s_packed_1, 4); + vuint32m1_t v_s_2 = __riscv_vmv_v_x_u32m1(s_packed_2, 4); + v_s_1 = __riscv_vsrl_vv_u32m1(v_s_1, v_shifts, 4); + v_s_2 = __riscv_vsrl_vv_u32m1(v_s_2, v_shifts, 4); + + v_s_1 = __riscv_vand_vx_u32m1(v_s_1, 127, 4); + v_s_2 = __riscv_vand_vx_u32m1(v_s_2, 127, 4); + + vuint16mf2_t vidx_s2_1 = __riscv_vsll_vx_u16mf2(__riscv_vncvt_x_x_w_u16mf2(v_s_1, 4), 3, 4); + vuint16mf2_t vidx_s2_2 = __riscv_vsll_vx_u16mf2(__riscv_vncvt_x_x_w_u16mf2(v_s_2, 4), 3, 4); + + vuint64m2_t vq2_64_1 = __riscv_vluxei16_v_u64m2(grid64, vidx_q2_1, 4); + vuint64m2_t vq2_64_2 = __riscv_vluxei16_v_u64m2(grid64, vidx_q2_2, 4); + + vint8m2_t q2_1 = __riscv_vreinterpret_v_u8m2_i8m2(__riscv_vreinterpret_v_u64m2_u8m2(vq2_64_1)); + vint8m2_t q2_2 = __riscv_vreinterpret_v_u8m2_i8m2(__riscv_vreinterpret_v_u64m2_u8m2(vq2_64_2)); + + vuint64m2_t vs2_64_1 = __riscv_vluxei16_v_u64m2(signs64, vidx_s2_1, 4); + vuint64m2_t vs2_64_2 = __riscv_vluxei16_v_u64m2(signs64, vidx_s2_2, 4); + vint8m2_t s2_1 = __riscv_vreinterpret_v_u8m2_i8m2(__riscv_vreinterpret_v_u64m2_u8m2(vs2_64_1)); + vint8m2_t s2_2 = __riscv_vreinterpret_v_u8m2_i8m2(__riscv_vreinterpret_v_u64m2_u8m2(vs2_64_2)); + + vint8m2_t q8s_1 = __riscv_vmul_vv_i8m2(q8_1, s2_1, 32); + vint8m2_t q8s_2 = __riscv_vmul_vv_i8m2(q8_2, s2_2, 32); + + vint16m4_t dot1 = __riscv_vwmul_vv_i16m4(q8s_1, q2_1, 32); + vint16m4_t dot2 = __riscv_vwmul_vv_i16m4(q8s_2, q2_2, 32); + + vint32m1_t zero_vec = __riscv_vmv_v_x_i32m1(0, 1); + vint32m1_t sumv1 = __riscv_vwredsum_vs_i16m4_i32m1(dot1, zero_vec, 32); + vint32m1_t sumv2 = __riscv_vwredsum_vs_i16m4_i32m1(dot2, zero_vec, 32); + + int32_t scalar_sum1 = __riscv_vmv_x_s_i32m1_i32(sumv1); + int32_t scalar_sum2 = __riscv_vmv_x_s_i32m1_i32(sumv2); + + int16_t scale1 = 2 * ((s_packed_1 >> 28) & 0xF) + 1; + int16_t scale2 = 2 * ((s_packed_2 >> 28) & 0xF) + 1; + + sum += scalar_sum1 * scale1 + scalar_sum2 * scale2; + q2_ptr += 16; + } + sumf += sum * combined_scale; + } + *s = 0.125f * sumf; +} + +static void ggml_vec_dot_iq2_xxs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { + assert(n % QK_K == 0); + assert(nrc == 1); + UNUSED(nrc); + UNUSED(bx); + UNUSED(by); + UNUSED(bs); + + const block_iq2_xxs * GGML_RESTRICT x = vx; + const block_q8_K * GGML_RESTRICT y = vy; + + const int nb = n / QK_K; + const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs; + const uint64_t * grid64 = (const uint64_t *)iq2xxs_grid; + + uint32_t shift_constants[4] = {0, 7, 14, 21}; + vuint32mf2_t v_shifts = __riscv_vle32_v_u32mf2(shift_constants, 4); + + float sumf = 0.0f; + + for (int i = 0; i < nb; ++i) { + const float combined_scale = GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d; + + const uint8_t * GGML_RESTRICT q2_ptr = (const uint8_t *) x[i].qs; + const int8_t * GGML_RESTRICT q8 = y[i].qs; + + float sum = 0.0f; + + for (int ib32 = 0; ib32 < QK_K / 32; ib32 += 2) { + vint8m1_t q8_1 = __riscv_vle8_v_i8m1(q8, 32); q8 += 32; + vint8m1_t q8_2 = __riscv_vle8_v_i8m1(q8, 32); q8 += 32; + + vuint8mf8_t v_raw_q2_1 = __riscv_vle8_v_u8mf8(q2_ptr, 4); + vuint8mf8_t v_raw_q2_2 = __riscv_vle8_v_u8mf8(q2_ptr + 8, 4); + + vuint16mf4_t vidx_q2_1 = __riscv_vwcvtu_x_x_v_u16mf4(v_raw_q2_1, 4); + vuint16mf4_t vidx_q2_2 = __riscv_vwcvtu_x_x_v_u16mf4(v_raw_q2_2, 4); + + vidx_q2_1 = __riscv_vsll_vx_u16mf4(vidx_q2_1, 3, 4); + vidx_q2_2 = __riscv_vsll_vx_u16mf4(vidx_q2_2, 3, 4); + + uint32_t s_packed_1, s_packed_2; + memcpy(&s_packed_1, q2_ptr + 4, 4); + memcpy(&s_packed_2, q2_ptr + 12, 4); + + vuint32mf2_t v_s_1 = __riscv_vmv_v_x_u32mf2(s_packed_1, 4); + vuint32mf2_t v_s_2 = __riscv_vmv_v_x_u32mf2(s_packed_2, 4); + + v_s_1 = __riscv_vsrl_vv_u32mf2(v_s_1, v_shifts, 4); + v_s_2 = __riscv_vsrl_vv_u32mf2(v_s_2, v_shifts, 4); + + v_s_1 = __riscv_vand_vx_u32mf2(v_s_1, 127, 4); + v_s_2 = __riscv_vand_vx_u32mf2(v_s_2, 127, 4); + + // Narrow u32 -> u16 (vncvt) and Scale by 8 to get byte offsets + vuint16mf4_t vidx_s2_1 = __riscv_vsll_vx_u16mf4(__riscv_vncvt_x_x_w_u16mf4(v_s_1, 4), 3, 4); + vuint16mf4_t vidx_s2_2 = __riscv_vsll_vx_u16mf4(__riscv_vncvt_x_x_w_u16mf4(v_s_2, 4), 3, 4); + + // Load q2 values from lookup grid + vuint64m1_t vq2_64_1 = __riscv_vluxei16_v_u64m1(grid64, vidx_q2_1, 4); + vuint64m1_t vq2_64_2 = __riscv_vluxei16_v_u64m1(grid64, vidx_q2_2, 4); + vint8m1_t q2_1 = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vreinterpret_v_u64m1_u8m1(vq2_64_1)); + vint8m1_t q2_2 = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vreinterpret_v_u64m1_u8m1(vq2_64_2)); + + // Load sign values + vuint64m1_t vs2_64_1 = __riscv_vluxei16_v_u64m1(signs64, vidx_s2_1, 4); + vuint64m1_t vs2_64_2 = __riscv_vluxei16_v_u64m1(signs64, vidx_s2_2, 4); + vint8m1_t s2_1 = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vreinterpret_v_u64m1_u8m1(vs2_64_1)); + vint8m1_t s2_2 = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vreinterpret_v_u64m1_u8m1(vs2_64_2)); + + // Apply signs to q8 + vint8m1_t q8s_1 = __riscv_vmul_vv_i8m1(q8_1, s2_1, 32); + vint8m1_t q8s_2 = __riscv_vmul_vv_i8m1(q8_2, s2_2, 32); + + // multiplying q2 with q8 + vint16m2_t dot1 = __riscv_vwmul_vv_i16m2(q8s_1, q2_1, 32); + vint16m2_t dot2 = __riscv_vwmul_vv_i16m2(q8s_2, q2_2, 32); + + vint32m1_t zero_vec = __riscv_vmv_v_x_i32m1(0, 1); + vint32m1_t sumv1 = __riscv_vwredsum_vs_i16m2_i32m1(dot1, zero_vec, 32); + vint32m1_t sumv2 = __riscv_vwredsum_vs_i16m2_i32m1(dot2, zero_vec, 32); + int32_t scalar_sum1 = __riscv_vmv_x_s_i32m1_i32(sumv1); + int32_t scalar_sum2 = __riscv_vmv_x_s_i32m1_i32(sumv2); + int16_t scale1 = 2 * ((s_packed_1 >> 28) & 0xF) + 1; + int16_t scale2 = 2 * ((s_packed_2 >> 28) & 0xF) + 1; + + sum += scalar_sum1 * scale1 + scalar_sum2 * scale2; + q2_ptr += 16; + } + sumf += sum * combined_scale; + } + *s = 0.125f * sumf; +} +#endif + +void ggml_vec_dot_iq2_xxs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { +#if defined __riscv_v_intrinsic + switch (__riscv_vlenb() * 8) { + case 128: + ggml_vec_dot_iq2_xxs_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc); + break; + default: + ggml_vec_dot_iq2_xxs_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc); + break; + } +#else + ggml_vec_dot_iq2_xxs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); +#endif +} + +#if defined __riscv_v_intrinsic +static void ggml_vec_dot_iq3_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { + assert(n % QK_K == 0); + UNUSED(nrc); + UNUSED(bx); + UNUSED(by); + UNUSED(bs); + + const block_iq3_s * GGML_RESTRICT x = vx; + const block_q8_K * GGML_RESTRICT y = vy; + + const int nb = n / QK_K; + + const uint64_t * grid64 = (const uint64_t *)iq3s_grid; + + // --- Pre-load Constants --- + const uint16_t qh_bit_shifts_arr[16] = { + 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 + }; + vuint8m2_t v_sign_gather_indices = __riscv_vle8_v_u8m2(sign_gather_indices_arr, 64); + vuint8m2_t v_sign_masks = __riscv_vle8_v_u8m2(sign_bit_masks_arr, 64); + vuint16m1_t v_qh_shifts = __riscv_vle16_v_u16m1(qh_bit_shifts_arr, 16); + + float sumf = 0.0f; + + for (int i = 0; i < nb; ++i) { + const float d = GGML_CPU_FP16_TO_FP32(x[i].d); + const float combined_scale = d * y[i].d; + + const uint8_t * GGML_RESTRICT qs = x[i].qs; + const uint8_t * GGML_RESTRICT qh = x[i].qh; + const uint8_t * GGML_RESTRICT scales = x[i].scales; + const uint8_t * GGML_RESTRICT signs = x[i].signs; + const int8_t * GGML_RESTRICT q8 = y[i].qs; + + float sum_block = 0.0f; + + // Loop: Process 64 weights (16 mini-blocks of 4) per iteration + for (int ib = 0; ib < 4; ++ib) { + + vuint8mf2_t v_qs_u8 = __riscv_vle8_v_u8mf2(qs, 16); + qs += 16; + + uint16_t qh_val; + memcpy(&qh_val, qh, 2); + qh += 2; + + vuint16m1_t v_qh_val = __riscv_vmv_v_x_u16m1(qh_val, 16); + // Extract bits: (qh >> i) & 1 + v_qh_val = __riscv_vsrl_vv_u16m1(v_qh_val, v_qh_shifts, 16); + v_qh_val = __riscv_vand_vx_u16m1(v_qh_val, 1, 16); + + vuint16m1_t v_qs_u16 = __riscv_vwcvtu_x_x_v_u16m1(v_qs_u8, 16); + v_qs_u16 = __riscv_vsll_vx_u16m1(v_qs_u16, 2, 16); + v_qh_val = __riscv_vsll_vx_u16m1(v_qh_val, 10, 16); + vuint16m1_t v_grid_offsets = __riscv_vor_vv_u16m1(v_qs_u16, v_qh_val, 16); + + // Grid value is 4xuint8 + vuint32m2_t v_grid_packed = __riscv_vluxei16_v_u32m2((const uint32_t *)grid64, v_grid_offsets, 16); + vuint8m2_t v_grid_u8 = __riscv_vreinterpret_v_u32m2_u8m2(v_grid_packed); + vuint8mf4_t v_signs_raw = __riscv_vle8_v_u8mf4(signs, 8); + signs += 8; + + // Generate sign mask + vuint8m2_t v_signs_source = __riscv_vlmul_ext_v_u8mf4_u8m2(v_signs_raw); + vuint8m2_t v_signs_bcast = __riscv_vrgather_vv_u8m2(v_signs_source, v_sign_gather_indices, 64); + vuint8m2_t v_sign_bits = __riscv_vand_vv_u8m2(v_signs_bcast, v_sign_masks, 64); + vbool4_t m_negative = __riscv_vmsne_vx_u8m2_b4(v_sign_bits, 0, 64); + + vint8m2_t v_q8 = __riscv_vle8_v_i8m2(q8, 64); + q8 += 64; + + // Apply Signs + vint8m2_t v_q8_signed = __riscv_vrsub_vx_i8m2_mu(m_negative, v_q8, v_q8, 0, 64); + vint16m4_t v_dot = __riscv_vwmulsu_vv_i16m4(v_q8_signed, v_grid_u8, 64); + + // Reduction + vint16m2_t v_dot_lo = __riscv_vget_v_i16m4_i16m2(v_dot, 0); + vint16m2_t v_dot_hi = __riscv_vget_v_i16m4_i16m2(v_dot, 1); + vint32m1_t v_zero = __riscv_vmv_v_x_i32m1(0, 1); + + int32_t s_lo = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(v_dot_lo, v_zero, 32)); + int32_t s_hi = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(v_dot_hi, v_zero, 32)); + + // Apply sub-scales + uint8_t sc_byte = *scales++; + int sc_lo = (sc_byte & 0xF) * 2 + 1; + int sc_hi = (sc_byte >> 4) * 2 + 1; + + sum_block += s_lo * sc_lo + s_hi * sc_hi; + } + sumf += sum_block * combined_scale; + } + *s = sumf; +} +#endif + +void ggml_vec_dot_iq3_s_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { +#if defined __riscv_v_intrinsic + switch (__riscv_vlenb() * 8) { + case 256: + ggml_vec_dot_iq3_s_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc); + break; + default: + ggml_vec_dot_iq3_s_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); + break; + } +#else + ggml_vec_dot_iq3_s_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); +#endif +} + +#if defined __riscv_v_intrinsic +static void ggml_vec_dot_iq3_xxs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { + assert(n % QK_K == 0); + assert(nrc == 1); + UNUSED(nrc); + UNUSED(bx); + UNUSED(by); + UNUSED(bs); + + const block_iq3_xxs * GGML_RESTRICT x = vx; + const block_q8_K * GGML_RESTRICT y = vy; + const int nb = n / QK_K; + + const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs; + const uint32_t * grid32 = (const uint32_t *)iq3xxs_grid; + + // constants for unpacking logic + const uint32_t shifts_val[8] = {0, 7, 14, 21, 0, 7, 14, 21}; + vuint32m1_t v_shifts = __riscv_vle32_v_u32m1(shifts_val, 8); + + const uint32_t gather_idx_val[8] = {0, 0, 0, 0, 1, 1, 1, 1}; + vuint32m1_t v_gather_idx = __riscv_vle32_v_u32m1(gather_idx_val, 8); + + uint32_t aux32[2]; + float sumf = 0.0f; + + for (int i = 0; i < nb; ++i) { + const float d = GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d; + + const uint8_t * GGML_RESTRICT q3_indices = x[i].qs; + const uint8_t * GGML_RESTRICT metadata = x[i].qs + QK_K/4; + const int8_t * GGML_RESTRICT q8 = y[i].qs; + + float block_sum = 0.0f; + + for (int ib = 0; ib < QK_K / 64; ++ib) { + // Load q8 (64 bytes) + vint8m2_t v_q8 = __riscv_vle8_v_i8m2(q8, 64); + q8 += 64; + + // load of metadata via memcpy + memcpy(aux32, metadata, 2 * sizeof(uint32_t)); + metadata += 2 * sizeof(uint32_t); + + // Load q3 indices and gather magnitudes + vuint8mf2_t v_q3_idx_u8 = __riscv_vle8_v_u8mf2(q3_indices, 16); + q3_indices += 16; + + vuint16m1_t v_q3_idx_u16 = __riscv_vwmulu_vx_u16m1(v_q3_idx_u8, 4, 16); + vuint32m2_t v_q3_magnitudes_u32 = __riscv_vluxei16_v_u32m2(grid32, v_q3_idx_u16, 16); + vint8m2_t v_q3_magnitudes = __riscv_vreinterpret_v_u8m2_i8m2(__riscv_vreinterpret_v_u32m2_u8m2(v_q3_magnitudes_u32)); + + // --- Unpacking of Sign Indices --- + + // 1. Load the 2 auxiliary 32-bit integers into a vector + vuint32m1_t v_aux = __riscv_vle32_v_u32m1(aux32, 2); + + // 2. Broadcast/Gather: replicate aux[0] to first 4 lanes, aux[1] to next 4 lanes + vuint32m1_t v_aux_expanded = __riscv_vrgather_vv_u32m1(v_aux, v_gather_idx, 8); + + // 3. Apply Shifts and Mask: ((val >> shift) & 127) + vuint32m1_t v_s_vals_raw = __riscv_vand_vx_u32m1(__riscv_vsrl_vv_u32m1(v_aux_expanded, v_shifts, 8), 127, 8); + + // 4. Narrow to u16 (required for vluxei index) and multiply by 8 (byte offset for u64 table) + vuint16mf2_t sign_indices_byte_offset = __riscv_vsll_vx_u16mf2(__riscv_vncvt_x_x_w_u16mf2(v_s_vals_raw, 8), 3, 8); + + // 5. Gather Signs + vuint64m2_t v_s_vals_u64 = __riscv_vluxei16_v_u64m2(signs64, sign_indices_byte_offset, 8); + vint8m2_t v_s_vals = __riscv_vreinterpret_v_u8m2_i8m2(__riscv_vreinterpret_v_u64m2_u8m2(v_s_vals_u64)); + + vint8m2_t v_q3_signed = __riscv_vmul_vv_i8m2(v_q3_magnitudes, v_s_vals, 64); + vint16m4_t v_dot = __riscv_vwmul_vv_i16m4(v_q8, v_q3_signed, 64); + + vint16m2_t v_dot_1 = __riscv_vget_v_i16m4_i16m2(v_dot, 0); + vint16m2_t v_dot_2 = __riscv_vget_v_i16m4_i16m2(v_dot, 1); + + vint32m1_t v_zero = __riscv_vmv_v_x_i32m1(0, 1); + vint32m1_t v_sum_1 = __riscv_vwredsum_vs_i16m2_i32m1(v_dot_1, v_zero, 32); + vint32m1_t v_sum_2 = __riscv_vwredsum_vs_i16m2_i32m1(v_dot_2, v_zero, 32); + + int32_t sum1_i = __riscv_vmv_x_s_i32m1_i32(v_sum_1); + int32_t sum2_i = __riscv_vmv_x_s_i32m1_i32(v_sum_2); + + const float scale1_f = (float)(2 * (aux32[0] >> 28) + 1); + const float scale2_f = (float)(2 * (aux32[1] >> 28) + 1); + + block_sum += sum1_i * scale1_f + sum2_i * scale2_f; + } + + sumf += d * block_sum; + } + *s = 0.25f * sumf; +} +#endif + +void ggml_vec_dot_iq3_xxs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { +#if defined __riscv_v_intrinsic + switch (__riscv_vlenb() * 8) { + case 256: + ggml_vec_dot_iq3_xxs_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc); + break; + default: + ggml_vec_dot_iq3_xxs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); + break; + } +#else + ggml_vec_dot_iq3_xxs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); +#endif +} + +#if defined __riscv_v_intrinsic +static void ggml_vec_dot_iq4_nl_q8_0_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { + assert(nrc == 1); + UNUSED(nrc); + UNUSED(bx); + UNUSED(by); + UNUSED(bs); + assert(n % QK4_NL == 0); + static_assert(QK4_NL == QK8_0, "QK4_NL and QK8_0 must be the same"); + + const block_iq4_nl * GGML_RESTRICT x = vx; + const block_q8_0 * GGML_RESTRICT y = vy; + + const int nb = n / QK4_NL; + + int ib = 0; + float sumf = 0; + + // Load the lookup table once. + const vint8m2_t values = __riscv_vle8_v_i8m2(kvalues_iq4nl, 16); + int acc1, acc2; + + // We process 2 blocks at once. + for (; ib + 1 < nb; ib += 2) { + // Weights and activations. + vuint8m1_t iq4_packed1 = __riscv_vle8_v_u8m1(x[ib + 0].qs, 16); + vint8m2_t q8b1 = __riscv_vle8_v_i8m2(y[ib + 0].qs, 32); + vuint8m1_t iq4_packed2 = __riscv_vle8_v_u8m1(x[ib + 1].qs, 16); + vint8m2_t q8b2 = __riscv_vle8_v_i8m2(y[ib + 1].qs, 32); + + // Unpack the weight blocks. + vuint8m2_t iq4bits1; + iq4bits1 = __riscv_vset_v_u8m1_u8m2(iq4bits1, 0, __riscv_vand_vx_u8m1(iq4_packed1, 0xf, 16)); + iq4bits1 = __riscv_vset_v_u8m1_u8m2(iq4bits1, 1, __riscv_vsrl_vx_u8m1(iq4_packed1, 4, 16)); + vuint8m2_t iq4bits2; + iq4bits2 = __riscv_vset_v_u8m1_u8m2(iq4bits2, 0, __riscv_vand_vx_u8m1(iq4_packed2, 0xf, 16)); + iq4bits2 = __riscv_vset_v_u8m1_u8m2(iq4bits2, 1, __riscv_vsrl_vx_u8m1(iq4_packed2, 4, 16)); + + // Gather values from the lookup table. + vint8m2_t iq4b1 = __riscv_vrgather_vv_i8m2(values, iq4bits1, 32); + vint8m2_t iq4b2 = __riscv_vrgather_vv_i8m2(values, iq4bits2, 32); + + // Accumulation. + vint16m4_t sum1 = __riscv_vwmul_vv_i16m4(q8b1, iq4b1, 32); + vint16m4_t sum2 = __riscv_vwmul_vv_i16m4(q8b2, iq4b2, 32); + __riscv_vse32_v_i32m1(&acc1,__riscv_vwredsum_vs_i16m4_i32m1(sum1, __riscv_vmv_v_x_i32m1(0, 1), 32), 1); + __riscv_vse32_v_i32m1(&acc2,__riscv_vwredsum_vs_i16m4_i32m1(sum2, __riscv_vmv_v_x_i32m1(0, 1), 32), 1); + sumf += ((GGML_CPU_FP16_TO_FP32(x[ib + 0].d) * GGML_CPU_FP16_TO_FP32(y[ib + 0].d) * acc1)); + sumf += ((GGML_CPU_FP16_TO_FP32(x[ib + 1].d) * GGML_CPU_FP16_TO_FP32(y[ib + 1].d) * acc2)); + } + + *s = sumf; +} + +static void ggml_vec_dot_iq4_nl_q8_0_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { + assert(nrc == 1); + UNUSED(nrc); + UNUSED(bx); + UNUSED(by); + UNUSED(bs); + assert(n % QK4_NL == 0); + static_assert(QK4_NL == QK8_0, "QK4_NL and QK8_0 must be the same"); + + const block_iq4_nl * GGML_RESTRICT x = vx; + const block_q8_0 * GGML_RESTRICT y = vy; + + const int nb = n / QK4_NL; + + int ib = 0; + float sumf = 0; + + // Load the lookup table once. + const vint8mf2_t values = __riscv_vle8_v_i8mf2(kvalues_iq4nl, 16); + int acc1, acc2; + + // We process 2 blocks at once. + for (; ib + 1 < nb; ib += 2) { + // Weights and activations. + vuint8mf2_t iq4_packed1 = __riscv_vle8_v_u8mf2(x[ib + 0].qs, 16); + vint8mf2_t q8b_lo1 = __riscv_vle8_v_i8mf2(y[ib + 0].qs, 16); + vint8mf2_t q8b_hi1 = __riscv_vle8_v_i8mf2(y[ib + 0].qs + 16, 16); + vuint8mf2_t iq4_packed2 = __riscv_vle8_v_u8mf2(x[ib + 1].qs, 16); + vint8mf2_t q8b_lo2 = __riscv_vle8_v_i8mf2(y[ib + 1].qs, 16); + vint8mf2_t q8b_hi2 = __riscv_vle8_v_i8mf2(y[ib + 1].qs + 16, 16); + + // Unpack the weight blocks. + vuint8mf2_t iq4bits_lo1 = __riscv_vand_vx_u8mf2(iq4_packed1, 0xf, 16); + vuint8mf2_t iq4bits_hi1 = __riscv_vsrl_vx_u8mf2(iq4_packed1, 4, 16); + vuint8mf2_t iq4bits_lo2 = __riscv_vand_vx_u8mf2(iq4_packed2, 0xf, 16); + vuint8mf2_t iq4bits_hi2 = __riscv_vsrl_vx_u8mf2(iq4_packed2, 4, 16); + + // Gather values from the lookup table. + vint8mf2_t iq4b_lo1 = __riscv_vrgather_vv_i8mf2(values, iq4bits_lo1, 16); + vint8mf2_t iq4b_hi1 = __riscv_vrgather_vv_i8mf2(values, iq4bits_hi1, 16); + vint8mf2_t iq4b_lo2 = __riscv_vrgather_vv_i8mf2(values, iq4bits_lo2, 16); + vint8mf2_t iq4b_hi2 = __riscv_vrgather_vv_i8mf2(values, iq4bits_hi2, 16); + + // Accumulation. + vint16m1_t sum1 = __riscv_vwmul_vv_i16m1(q8b_lo1, iq4b_lo1, 16); + sum1 = __riscv_vwmacc_vv_i16m1(sum1, q8b_hi1, iq4b_hi1, 16); + vint16m1_t sum2 = __riscv_vwmul_vv_i16m1(q8b_lo2, iq4b_lo2, 16); + sum2 = __riscv_vwmacc_vv_i16m1(sum2, q8b_hi2, iq4b_hi2, 16); + __riscv_vse32_v_i32m1(&acc1,__riscv_vwredsum_vs_i16m1_i32m1(sum1, __riscv_vmv_v_x_i32m1(0, 1), 16), 1); + __riscv_vse32_v_i32m1(&acc2,__riscv_vwredsum_vs_i16m1_i32m1(sum2, __riscv_vmv_v_x_i32m1(0, 1), 16), 1); + sumf += ((GGML_CPU_FP16_TO_FP32(x[ib + 0].d) * GGML_CPU_FP16_TO_FP32(y[ib + 0].d) * acc1)); + sumf += ((GGML_CPU_FP16_TO_FP32(x[ib + 1].d) * GGML_CPU_FP16_TO_FP32(y[ib + 1].d) * acc2)); + } + + *s = sumf; +} +#endif + +void ggml_vec_dot_iq4_nl_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { +#if defined __riscv_v_intrinsic + switch (__riscv_vlenb() * 8) { + case 128: + ggml_vec_dot_iq4_nl_q8_0_vl128(n, s, bs, vx, bx, vy, by, nrc); + break; + default: + ggml_vec_dot_iq4_nl_q8_0_vl256(n, s, bs, vx, bx, vy, by, nrc); + break; + } +#else + ggml_vec_dot_iq4_nl_q8_0_generic(n, s, bs, vx, bx, vy, by, nrc); +#endif +} + +#if defined __riscv_v_intrinsic +static void ggml_vec_dot_iq4_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { + assert(nrc == 1); + UNUSED(nrc); + UNUSED(bx); + UNUSED(by); + UNUSED(bs); + assert(n % QK_K == 0); + + const block_iq4_xs * GGML_RESTRICT x = vx; + const block_q8_K * GGML_RESTRICT y = vy; + + const int nb = n / QK_K; + + const vint8m4_t values = __riscv_vle8_v_i8m4(kvalues_iq4nl, 16); + float sumf = 0; + int acc[4]; + + // Indices for re-ordering IQ4 data. + uint64_t index[16] = { + 0, 1, 8, 9, + 2, 3, 10, 11, + 4, 5,12, 13, + 6, 7, 14, 15, + }; + vuint64m4_t i_vec = __riscv_vle64_v_u64m4(index, 16); + + for (int ibl = 0; ibl < nb; ++ibl) { + const int8_t * q8 = y[ibl].qs; + const uint8_t * iq4 = x[ibl].qs; + uint16_t h = x[ibl].scales_h; + + int sumi1 = 0, sumi2 = 0, sumi3 = 0, sumi4 = 0; + + for (int ib = 0; ib < QK_K / 128; ++ib) { + // Weights and activations. + vuint8m2_t iq4_packed = __riscv_vle8_v_u8m2(iq4, 64); + vint8m4_t q8b = __riscv_vle8_v_i8m4(q8, 128); + iq4 += 64; + q8 += 128; + + // Unpack the weight blocks. + vuint8m2_t iq4bits_lo = __riscv_vand_vx_u8m2(iq4_packed, 0xf, 64); + vuint8m2_t iq4bits_hi = __riscv_vsrl_vx_u8m2(iq4_packed, 4, 64); + vuint8m4_t iq4bits; + iq4bits = __riscv_vset_v_u8m2_u8m4(iq4bits, 0, iq4bits_lo); + iq4bits = __riscv_vset_v_u8m2_u8m4(iq4bits, 1, iq4bits_hi); + vuint8m4_t iq4bits_reorder = __riscv_vreinterpret_v_u64m4_u8m4(__riscv_vrgather_vv_u64m4(__riscv_vreinterpret_v_u8m4_u64m4(iq4bits), i_vec, 16)); + vint8m4_t iq4b = __riscv_vrgather_vv_i8m4(values, iq4bits_reorder, 128); + + // Multiply with activations. + vint16m8_t prod = __riscv_vwmul_vv_i16m8(iq4b, q8b, 128); + + // Reduce separately. + __riscv_vse32_v_i32m1(&acc[0],__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 0), __riscv_vmv_v_x_i32m1(0, 1), 32), 1); + __riscv_vse32_v_i32m1(&acc[1],__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 1), __riscv_vmv_v_x_i32m1(0, 1), 32), 1); + __riscv_vse32_v_i32m1(&acc[2],__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 2), __riscv_vmv_v_x_i32m1(0, 1), 32), 1); + __riscv_vse32_v_i32m1(&acc[3],__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 3), __riscv_vmv_v_x_i32m1(0, 1), 32), 1); + + int ls1 = ((x[ibl].scales_l[ib * 2 + 0] & 0xf) | ((h << 4) & 0x30)) - 32; + int ls2 = ((x[ibl].scales_l[ib * 2 + 0] >> 4) | ((h << 2) & 0x30)) - 32; + int ls3 = ((x[ibl].scales_l[ib * 2 + 1] & 0xf) | ((h << 0) & 0x30)) - 32; + int ls4 = ((x[ibl].scales_l[ib * 2 + 1] >> 4) | ((h >> 2) & 0x30)) - 32; + h >>= 8; + + sumi1 += acc[0] * ls1; + sumi2 += acc[1] * ls2; + sumi3 += acc[2] * ls3; + sumi4 += acc[3] * ls4; + } + + sumf += GGML_CPU_FP16_TO_FP32(x[ibl].d) * y[ibl].d * (sumi1 + sumi2 + sumi3 + sumi4); + } + + *s = sumf; +} +#endif + +void ggml_vec_dot_iq4_xs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { +#if defined __riscv_v_intrinsic + switch (__riscv_vlenb() * 8) { + case 256: + ggml_vec_dot_iq4_xs_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc); + break; + default: + ggml_vec_dot_iq4_xs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); + break; + } +#else + ggml_vec_dot_iq4_xs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); +#endif +} + +#if defined __riscv_v_intrinsic +static void ggml_vec_dot_tq1_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { + assert(nrc == 1); + UNUSED(nrc); + UNUSED(bx); + UNUSED(by); + UNUSED(bs); + + const block_tq1_0 * GGML_RESTRICT x = vx; + const block_q8_K * GGML_RESTRICT y = vy; + + const int nb = n / QK_K; + + float sumf = 0.0f; + uint8_t pow[16] = {1, 1, 1, 1, 3, 3, 3, 3, 9, 9, 9, 9, 27, 27, 27, 27}; + + for (int i = 0; i < nb; i++) { + // First loop. + vint32m4_t suml1; + { + const int vl = 32; + vuint8m1_t tq = __riscv_vle8_v_u8m1(x[i].qs, vl); + + vuint16m2_t tq0 = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(tq, 3, vl), 8, vl); + vuint16m2_t tq1 = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(__riscv_vmul_vx_u8m1(tq, 3, vl), 3, vl), 8, vl); + vuint16m2_t tq2 = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(__riscv_vmul_vx_u8m1(tq, 9, vl), 3, vl), 8, vl); + vuint16m2_t tq3 = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(__riscv_vmul_vx_u8m1(tq, 27, vl), 3, vl), 8, vl); + vuint16m2_t tq4 = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(__riscv_vmul_vx_u8m1(tq, 81, vl), 3, vl), 8, vl); + + vint16m2_t q80 = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(y[i].qs + 0, vl), vl); + vint16m2_t q81 = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(y[i].qs + 32, vl), vl); + vint16m2_t q82 = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(y[i].qs + 64, vl), vl); + vint16m2_t q83 = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(y[i].qs + 96, vl), vl); + vint16m2_t q84 = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(y[i].qs + 128, vl), vl); + + vint16m2_t sum0 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq0, 1, vl)), q80, vl); + vint16m2_t sum1 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq1, 1, vl)), q81, vl); + vint16m2_t sum2 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq2, 1, vl)), q82, vl); + vint16m2_t sum3 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq3, 1, vl)), q83, vl); + vint16m2_t sum4 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq4, 1, vl)), q84, vl); + + vint32m4_t sumi0 = __riscv_vwadd_vv_i32m4(sum0, sum1, vl); + vint32m4_t sumi1 = __riscv_vwadd_vv_i32m4(sum2, sum3, vl); + suml1 = __riscv_vadd_vv_i32m4(__riscv_vwcvt_x_x_v_i32m4(sum4, vl), __riscv_vadd_vv_i32m4(sumi0, sumi1, vl), vl); + } + + // Second loop. + vint32m2_t suml2; + { + const int vl = 16; + vuint8mf2_t tq = __riscv_vle8_v_u8mf2(x[i].qs + 32, vl); + + vuint16m1_t tq0 = __riscv_vsrl_vx_u16m1(__riscv_vwmulu_vx_u16m1(tq, 3 * 1, vl), 8, vl); + vuint16m1_t tq1 = __riscv_vsrl_vx_u16m1(__riscv_vwmulu_vx_u16m1(__riscv_vmul_vx_u8mf2(tq, 3, vl), 3, vl), 8, vl); + vuint16m1_t tq2 = __riscv_vsrl_vx_u16m1(__riscv_vwmulu_vx_u16m1(__riscv_vmul_vx_u8mf2(tq, 9, vl), 3, vl), 8, vl); + vuint16m1_t tq3 = __riscv_vsrl_vx_u16m1(__riscv_vwmulu_vx_u16m1(__riscv_vmul_vx_u8mf2(tq, 27, vl), 3, vl), 8, vl); + vuint16m1_t tq4 = __riscv_vsrl_vx_u16m1(__riscv_vwmulu_vx_u16m1(__riscv_vmul_vx_u8mf2(tq, 81, vl), 3, vl), 8, vl); + + vint16m1_t q80 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 160, vl), vl); + vint16m1_t q81 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 176, vl), vl); + vint16m1_t q82 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 192, vl), vl); + vint16m1_t q83 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 208, vl), vl); + vint16m1_t q84 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 224, vl), vl); + + vint16m1_t sum0 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq0, 1, vl)), q80, vl); + vint16m1_t sum1 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq1, 1, vl)), q81, vl); + vint16m1_t sum2 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq2, 1, vl)), q82, vl); + vint16m1_t sum3 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq3, 1, vl)), q83, vl); + vint16m1_t sum4 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq4, 1, vl)), q84, vl); + + vint32m2_t sumi0 = __riscv_vwadd_vv_i32m2(sum0, sum1, vl); + vint32m2_t sumi1 = __riscv_vwadd_vv_i32m2(sum2, sum3, vl); + suml2 = __riscv_vadd_vv_i32m2(__riscv_vwcvt_x_x_v_i32m2(sum4, vl), __riscv_vadd_vv_i32m2(sumi0, sumi1, vl), vl); + } + + // Third loop. + vint32m2_t suml3; + { + const int vl = 16; + + uint32_t qh; + memcpy(&qh, &x[i].qh[0], 4); + // Prevent fusion with vmv. + __asm__ __volatile__("" : "+r"(qh)); + vuint8mf2_t tq = __riscv_vreinterpret_v_u32mf2_u8mf2(__riscv_vmv_v_x_u32mf2(qh, vl / 4)); + + vuint8mf2_t p = __riscv_vle8_v_u8mf2(pow, vl); + + vuint16m1_t tq0 = __riscv_vsrl_vx_u16m1(__riscv_vwmulu_vx_u16m1(__riscv_vmul_vv_u8mf2(tq, p, vl), 3, vl), 8, vl); + + vint16m1_t q80 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 240, vl), vl); + + vint16m1_t sum0 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq0, 1, vl)), q80, vl); + suml3 = __riscv_vwcvt_x_x_v_i32m2(sum0, vl); + } + + vint32m2_t sumb = __riscv_vadd_vv_i32m2(__riscv_vget_v_i32m4_i32m2(suml1, 0), __riscv_vget_v_i32m4_i32m2(suml1, 1), 16); + sumb = __riscv_vadd_vv_i32m2(sumb, suml2, 16); + sumb = __riscv_vadd_vv_i32m2(sumb, suml3, 16); + + vint32m1_t sum = __riscv_vredsum_vs_i32m2_i32m1(sumb, __riscv_vmv_v_x_i32m1(0, 1), 16); + sumf += __riscv_vmv_x_s_i32m1_i32(sum) * y[i].d * GGML_CPU_FP16_TO_FP32(x[i].d); + } + + *s = sumf; +} +#endif + +void ggml_vec_dot_tq1_0_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { +#if defined __riscv_v_intrinsic + switch (__riscv_vlenb() * 8) { + case 256: + ggml_vec_dot_tq1_0_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc); + break; + default: + ggml_vec_dot_tq1_0_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); + break; + } +#else + ggml_vec_dot_tq1_0_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); +#endif +} + +#if defined __riscv_v_intrinsic +static void ggml_vec_dot_tq2_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { + assert(n % QK_K == 0); + assert(nrc == 1); + UNUSED(nrc); + UNUSED(bx); + UNUSED(by); + UNUSED(bs); + + const block_tq2_0 * GGML_RESTRICT x = vx; + const block_q8_K * GGML_RESTRICT y = vy; + + const int nb = n / QK_K; + + float sumf = 0.0f; + for (int i = 0; i < nb; ++i) { + int32_t sumi = 0; + + for (size_t j = 0; j < sizeof(x[0].qs); j += 32) { + const int8_t * py0 = &y[i].qs[j * 4 + 0 * 32]; + const int8_t * py1 = &y[i].qs[j * 4 + 1 * 32]; + const int8_t * py2 = &y[i].qs[j * 4 + 2 * 32]; + const int8_t * py3 = &y[i].qs[j * 4 + 3 * 32]; + const uint8_t* px = &x[i].qs[j]; + + size_t vlmax_16m2 = __riscv_vsetvl_e16m2(32); + vint16m2_t vacc16 = __riscv_vmv_v_x_i16m2(0, vlmax_16m2); + + size_t vl = __riscv_vsetvl_e8m1(32); + + vuint8m1_t vx_u8 = __riscv_vle8_v_u8m1(px, vl); + + vint8m1_t vy0 = __riscv_vle8_v_i8m1(py0 , vl); + vint8m1_t vy1 = __riscv_vle8_v_i8m1(py1, vl); + vint8m1_t vy2 = __riscv_vle8_v_i8m1(py2, vl); + vint8m1_t vy3 = __riscv_vle8_v_i8m1(py3, vl); + + // l=0 (bits 1:0) + vuint8m1_t t0 = __riscv_vand_vx_u8m1(vx_u8, 0x03, vl); + vint8m1_t vq0 = __riscv_vsub_vx_i8m1(__riscv_vreinterpret_v_u8m1_i8m1(t0), 1, vl); + + // l=1 (bits 3:2) + vuint8m1_t t1 = __riscv_vand_vx_u8m1(__riscv_vsrl_vx_u8m1(vx_u8, 2, vl), 0x03, vl); + vint8m1_t vq1 = __riscv_vsub_vx_i8m1(__riscv_vreinterpret_v_u8m1_i8m1(t1), 1, vl); + + // l=2 (bits 5:4) + vuint8m1_t t2 = __riscv_vand_vx_u8m1(__riscv_vsrl_vx_u8m1(vx_u8, 4, vl), 0x03, vl); + vint8m1_t vq2 = __riscv_vsub_vx_i8m1(__riscv_vreinterpret_v_u8m1_i8m1(t2), 1, vl); + + // l=3 (bits 7:6) + vuint8m1_t t3 = __riscv_vsrl_vx_u8m1(vx_u8, 6, vl); // No final AND needed as vsrl shifts in zeros + vint8m1_t vq3 = __riscv_vsub_vx_i8m1(__riscv_vreinterpret_v_u8m1_i8m1(t3), 1, vl); + + // 4. Multiply and accumulate + vacc16 = __riscv_vwmacc_vv_i16m2(vacc16, vq0, vy0, vl); + vacc16 = __riscv_vwmacc_vv_i16m2(vacc16, vq1, vy1, vl); + vacc16 = __riscv_vwmacc_vv_i16m2(vacc16, vq2, vy2, vl); + vacc16 = __riscv_vwmacc_vv_i16m2(vacc16, vq3, vy3, vl); + + vlmax_16m2 = __riscv_vsetvl_e16m2(32); + vint32m1_t vzero32 = __riscv_vmv_v_x_i32m1(0, 1); + vint32m1_t vred32 = __riscv_vwredsum_vs_i16m2_i32m1(vacc16, vzero32, vlmax_16m2); + + sumi += __riscv_vmv_x_s_i32m1_i32(vred32); + } + const float d = y[i].d * GGML_CPU_FP16_TO_FP32(x[i].d); + sumf += (float)sumi * d; + } + + *s = sumf; +} +#endif + +void ggml_vec_dot_tq2_0_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { +#if defined __riscv_v_intrinsic + switch (__riscv_vlenb() * 8) { + case 256: + ggml_vec_dot_tq2_0_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc); + break; + default: + ggml_vec_dot_tq2_0_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); + break; + } +#else + ggml_vec_dot_tq2_0_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc); +#endif +} + +#if defined __riscv_v_intrinsic +static void ggml_vec_dot_mxfp4_q8_0_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { + assert(nrc == 1); + UNUSED(nrc); + UNUSED(bx); + UNUSED(by); + UNUSED(bs); + assert(n % QK_MXFP4 == 0); + static_assert(QK_MXFP4 == QK8_0, "QK_MXFP4 and QK8_0 must be the same"); + + const block_mxfp4 * GGML_RESTRICT x = vx; + const block_q8_0 * GGML_RESTRICT y = vy; + + const int nb = n / QK_MXFP4; + + int ib = 0; + float sumf = 0; + + // Load the lookup table once. + const vint8m2_t values = __riscv_vle8_v_i8m2(kvalues_mxfp4, 16); + int acc1, acc2; + + // We process 2 blocks at once. + for (; ib + 1 < nb; ib += 2) { + // Weights and activations. + vuint8m1_t mx_packed1 = __riscv_vle8_v_u8m1(x[ib + 0].qs, 16); + vint8m2_t q8b1 = __riscv_vle8_v_i8m2(y[ib + 0].qs, 32); + vuint8m1_t mx_packed2 = __riscv_vle8_v_u8m1(x[ib + 1].qs, 16); + vint8m2_t q8b2 = __riscv_vle8_v_i8m2(y[ib + 1].qs, 32); + + // Unpack the weight blocks. + vuint8m2_t mxbits1; + mxbits1 = __riscv_vset_v_u8m1_u8m2(mxbits1, 0, __riscv_vand_vx_u8m1(mx_packed1, 0xf, 16)); + mxbits1 = __riscv_vset_v_u8m1_u8m2(mxbits1, 1, __riscv_vsrl_vx_u8m1(mx_packed1, 4, 16)); + vuint8m2_t mxbits2; + mxbits2 = __riscv_vset_v_u8m1_u8m2(mxbits2, 0, __riscv_vand_vx_u8m1(mx_packed2, 0xf, 16)); + mxbits2 = __riscv_vset_v_u8m1_u8m2(mxbits2, 1, __riscv_vsrl_vx_u8m1(mx_packed2, 4, 16)); + + // Gather values from the lookup table. + vint8m2_t mxb1 = __riscv_vrgather_vv_i8m2(values, mxbits1, 32); + vint8m2_t mxb2 = __riscv_vrgather_vv_i8m2(values, mxbits2, 32); + + // Accumulation. + vint16m4_t sum1 = __riscv_vwmul_vv_i16m4(q8b1, mxb1, 32); + vint16m4_t sum2 = __riscv_vwmul_vv_i16m4(q8b2, mxb2, 32); + __riscv_vse32_v_i32m1(&acc1,__riscv_vwredsum_vs_i16m4_i32m1(sum1, __riscv_vmv_v_x_i32m1(0, 1), 32), 1); + __riscv_vse32_v_i32m1(&acc2,__riscv_vwredsum_vs_i16m4_i32m1(sum2, __riscv_vmv_v_x_i32m1(0, 1), 32), 1); + sumf += ((GGML_E8M0_TO_FP32_HALF(x[ib + 0].e) * GGML_CPU_FP16_TO_FP32(y[ib + 0].d) * acc1)); + sumf += ((GGML_E8M0_TO_FP32_HALF(x[ib + 1].e) * GGML_CPU_FP16_TO_FP32(y[ib + 1].d) * acc2)); + } + + *s = sumf; +} + +static void ggml_vec_dot_mxfp4_q8_0_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { + assert(nrc == 1); + UNUSED(nrc); + UNUSED(bx); + UNUSED(by); + UNUSED(bs); + assert(n % QK_MXFP4 == 0); + static_assert(QK_MXFP4 == QK8_0, "QK_MXFP4 and QK8_0 must be the same"); + + const block_mxfp4 * GGML_RESTRICT x = vx; + const block_q8_0 * GGML_RESTRICT y = vy; + + const int nb = n / QK_MXFP4; + + int ib = 0; + float sumf = 0; + + // Load the lookup table once. + const vint8mf2_t values = __riscv_vle8_v_i8mf2(kvalues_mxfp4, 16); + int acc1, acc2; + + // We process 2 blocks at once. + for (; ib + 1 < nb; ib+=2) { + // Weights and activations. + vuint8mf2_t mx_packed1 = __riscv_vle8_v_u8mf2(x[ib + 0].qs, 16); + vint8mf2_t q8b_lo1 = __riscv_vle8_v_i8mf2(y[ib + 0].qs, 16); + vint8mf2_t q8b_hi1 = __riscv_vle8_v_i8mf2(y[ib + 0].qs + 16, 16); + vuint8mf2_t mx_packed2 = __riscv_vle8_v_u8mf2(x[ib + 1].qs, 16); + vint8mf2_t q8b_lo2 = __riscv_vle8_v_i8mf2(y[ib + 1].qs, 16); + vint8mf2_t q8b_hi2 = __riscv_vle8_v_i8mf2(y[ib + 1].qs + 16, 16); + + // Unpack the weight blocks. + vuint8mf2_t mxbits_lo1 = __riscv_vand_vx_u8mf2(mx_packed1, 0xf, 16); + vuint8mf2_t mxbits_hi1 = __riscv_vsrl_vx_u8mf2(mx_packed1, 4, 16); + vuint8mf2_t mxbits_lo2 = __riscv_vand_vx_u8mf2(mx_packed2, 0xf, 16); + vuint8mf2_t mxbits_hi2 = __riscv_vsrl_vx_u8mf2(mx_packed2, 4, 16); + + // Gather values from the lookup table. + vint8mf2_t mxb_lo1 = __riscv_vrgather_vv_i8mf2(values, mxbits_lo1, 16); + vint8mf2_t mxb_hi1 = __riscv_vrgather_vv_i8mf2(values, mxbits_hi1, 16); + vint8mf2_t mxb_lo2 = __riscv_vrgather_vv_i8mf2(values, mxbits_lo2, 16); + vint8mf2_t mxb_hi2 = __riscv_vrgather_vv_i8mf2(values, mxbits_hi2, 16); + + // Accumulation. + vint16m1_t sum1 = __riscv_vwmul_vv_i16m1(q8b_lo1, mxb_lo1, 16); + sum1 = __riscv_vwmacc_vv_i16m1(sum1, q8b_hi1, mxb_hi1, 16); + vint16m1_t sum2 = __riscv_vwmul_vv_i16m1(q8b_lo2, mxb_lo2, 16); + sum2 = __riscv_vwmacc_vv_i16m1(sum2, q8b_hi2, mxb_hi2, 16); + __riscv_vse32_v_i32m1(&acc1,__riscv_vwredsum_vs_i16m1_i32m1(sum1, __riscv_vmv_v_x_i32m1(0, 1), 16), 1); + __riscv_vse32_v_i32m1(&acc2,__riscv_vwredsum_vs_i16m1_i32m1(sum2, __riscv_vmv_v_x_i32m1(0, 1), 16), 1); + sumf += ((GGML_E8M0_TO_FP32_HALF(x[ib + 0].e) * GGML_CPU_FP16_TO_FP32(y[ib + 0].d) * acc1)); + sumf += ((GGML_E8M0_TO_FP32_HALF(x[ib + 1].e) * GGML_CPU_FP16_TO_FP32(y[ib + 1].d) * acc2)); + } + + *s = sumf; +} +#endif + +void ggml_vec_dot_mxfp4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { +#if defined __riscv_v_intrinsic + switch (__riscv_vlenb() * 8) { + case 128: + ggml_vec_dot_mxfp4_q8_0_vl128(n, s, bs, vx, bx, vy, by, nrc); + break; + default: + ggml_vec_dot_mxfp4_q8_0_vl256(n, s, bs, vx, bx, vy, by, nrc); + break; + } +#else + ggml_vec_dot_mxfp4_q8_0_generic(n, s, bs, vx, bx, vy, by, nrc); +#endif +} diff --git a/ggml/src/ggml-cpu/arch/riscv/repack.cpp b/ggml/src/ggml-cpu/arch/riscv/repack.cpp index 2a35ff9ad8..c37488cae5 100644 --- a/ggml/src/ggml-cpu/arch/riscv/repack.cpp +++ b/ggml/src/ggml-cpu/arch/riscv/repack.cpp @@ -24,6 +24,93 @@ #define UNUSED GGML_UNUSED +void ggml_quantize_mat_q8_0_4x8(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k) { + assert(QK8_0 == 32); + assert(k % QK8_0 == 0); + const int nb = k / QK8_0; + +#if defined(__riscv_v_intrinsic) + block_q8_0x4 * GGML_RESTRICT y = (block_q8_0x4 *) vy; + const size_t vl_calc = __riscv_vsetvl_e32m8(QK8_0); + const size_t vl_save = __riscv_vsetvl_e64m2(4); + vfloat32m1_t v_scalar_zero = __riscv_vfmv_s_f_f32m1(0.0f, __riscv_vsetvl_e32m1(1)); + + for (int i = 0; i < nb; i++) { + const float *x_block_base = x + i * QK8_0; + vint8m2_t q_r0, q_r1, q_r2, q_r3; + { + vfloat32m8_t v_src = __riscv_vle32_v_f32m8(x_block_base + 0 * k, vl_calc); + vfloat32m8_t v_abs = __riscv_vfabs_v_f32m8(v_src, vl_calc); + vfloat32m1_t v_max = __riscv_vfredmax_vs_f32m8_f32m1(v_abs, v_scalar_zero, vl_calc); + float amax = __riscv_vfmv_f_s_f32m1_f32(v_max); + + float d = amax / 127.0f; + y[i].d[0] = GGML_CPU_FP32_TO_FP16(d); + + float id = d ? 1.0f / d : 0.0f; + vfloat32m8_t v_scaled = __riscv_vfmul_vf_f32m8(v_src, id, vl_calc); + vint16m4_t v_i16 = __riscv_vfncvt_x_f_w_i16m4_rm(v_scaled, 4, vl_calc); + q_r0 = __riscv_vncvt_x_x_w_i8m2(v_i16, vl_calc); + } + asm volatile ("" ::: "memory"); + + { + vfloat32m8_t v_src = __riscv_vle32_v_f32m8(x_block_base + 1 * k, vl_calc); + vfloat32m8_t v_abs = __riscv_vfabs_v_f32m8(v_src, vl_calc); + vfloat32m1_t v_max = __riscv_vfredmax_vs_f32m8_f32m1(v_abs, v_scalar_zero, vl_calc); + float amax = __riscv_vfmv_f_s_f32m1_f32(v_max); + + float d = amax / 127.0f; + y[i].d[1] = GGML_CPU_FP32_TO_FP16(d); + float id = d ? 1.0f / d : 0.0f; + + vfloat32m8_t v_scaled = __riscv_vfmul_vf_f32m8(v_src, id, vl_calc); + vint16m4_t v_i16 = __riscv_vfncvt_x_f_w_i16m4_rm(v_scaled, 4, vl_calc); + q_r1 = __riscv_vncvt_x_x_w_i8m2(v_i16, vl_calc); + } + asm volatile ("" ::: "memory"); + { + vfloat32m8_t v_src = __riscv_vle32_v_f32m8(x_block_base + 2 * k, vl_calc); + vfloat32m8_t v_abs = __riscv_vfabs_v_f32m8(v_src, vl_calc); + vfloat32m1_t v_max = __riscv_vfredmax_vs_f32m8_f32m1(v_abs, v_scalar_zero, vl_calc); + float amax = __riscv_vfmv_f_s_f32m1_f32(v_max); + + float d = amax / 127.0f; + y[i].d[2] = GGML_CPU_FP32_TO_FP16(d); + float id = d ? 1.0f / d : 0.0f; + + vfloat32m8_t v_scaled = __riscv_vfmul_vf_f32m8(v_src, id, vl_calc); + vint16m4_t v_i16 = __riscv_vfncvt_x_f_w_i16m4_rm(v_scaled, 4, vl_calc); + q_r2 = __riscv_vncvt_x_x_w_i8m2(v_i16, vl_calc); + } + asm volatile ("" ::: "memory"); + { + vfloat32m8_t v_src = __riscv_vle32_v_f32m8(x_block_base + 3 * k, vl_calc); + vfloat32m8_t v_abs = __riscv_vfabs_v_f32m8(v_src, vl_calc); + vfloat32m1_t v_max = __riscv_vfredmax_vs_f32m8_f32m1(v_abs, v_scalar_zero, vl_calc); + float amax = __riscv_vfmv_f_s_f32m1_f32(v_max); + + float d = amax / 127.0f; + y[i].d[3] = GGML_CPU_FP32_TO_FP16(d); + float id = d ? 1.0f / d : 0.0f; + + vfloat32m8_t v_scaled = __riscv_vfmul_vf_f32m8(v_src, id, vl_calc); + vint16m4_t v_i16 = __riscv_vfncvt_x_f_w_i16m4_rm(v_scaled, 4, vl_calc); + q_r3 = __riscv_vncvt_x_x_w_i8m2(v_i16, vl_calc); + } + vint64m2_t v_q64_r0 = __riscv_vreinterpret_v_i8m2_i64m2(q_r0); + vint64m2_t v_q64_r1 = __riscv_vreinterpret_v_i8m2_i64m2(q_r1); + vint64m2_t v_q64_r2 = __riscv_vreinterpret_v_i8m2_i64m2(q_r2); + vint64m2_t v_q64_r3 = __riscv_vreinterpret_v_i8m2_i64m2(q_r3); + vint64m2x4_t v_quant_tuple = __riscv_vcreate_v_i64m2x4(v_q64_r0, v_q64_r1, v_q64_r2, v_q64_r3); + __riscv_vsseg4e64_v_i64m2x4((int64_t*)y[i].qs, v_quant_tuple, vl_save); + } +#else + UNUSED(nb); + ggml_quantize_mat_q8_0_4x8_generic(x, vy, k); +#endif +} + void ggml_gemv_q4_0_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { const int qk = QK8_0; const int nb = n / qk; @@ -115,6 +202,471 @@ void ggml_gemv_q4_0_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const vo ggml_gemv_q4_0_8x8_q8_0_generic(n, s, bs, vx, vy, nr, nc); } +#if defined __riscv_zvfh +void ggml_gemv_q4_0_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + const int qk = QK8_0; + const int nb = n / qk; + const int ncols_interleaved = 16; + const int blocklen = 1; + + assert (n % qk == 0); + assert (nc % ncols_interleaved == 0); + + UNUSED(s); + UNUSED(bs); + UNUSED(vx); + UNUSED(vy); + UNUSED(nr); + UNUSED(nc); + UNUSED(nb); + UNUSED(ncols_interleaved); + UNUSED(blocklen); + + const block_q8_0 * a_ptr = (const block_q8_0 *) vy; + for (int x = 0; x < nc / ncols_interleaved; x++) { + const block_q4_0x16 * b_ptr = (const block_q4_0x16 *) vx + (x * nb); + + // 1x16 Accumulator + vfloat32m2_t sumf = __riscv_vfmv_v_f_f32m2(0.0f, 16); + + for (int l = 0; l < nb; l++) { + // 1x16 Integer Accumulator + vint16m1_t sumi_0_lo_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_0_hi_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + + // Accumulation loop. + for (int i = 0; i < QK4_0 / 2; i++) { + // Load `b_ptr`. + const vint8mf2_t b_0_packed = __riscv_vle8_v_i8mf2((const int8_t *)&b_ptr[l].qs[i * 16], 16); + const vint8mf2_t b_0_lo = __riscv_vsra_vx_i8mf2(__riscv_vsll_vx_i8mf2(b_0_packed, 4, 16), 4, 16); + const vint8mf2_t b_0_hi = __riscv_vsra_vx_i8mf2(b_0_packed, 4, 16); + + sumi_0_lo_16 = __riscv_vwmacc_vx_i16m1(sumi_0_lo_16, a_ptr[l].qs[i], b_0_lo, 16); + sumi_0_hi_16 = __riscv_vwmacc_vx_i16m1(sumi_0_hi_16, a_ptr[l].qs[16 + i], b_0_hi, 16); + } + + const vint32m2_t sumi = __riscv_vwadd_vv_i32m2(sumi_0_lo_16, sumi_0_hi_16, 16); + + const vfloat16m1_t b_d = __riscv_vle16_v_f16m1((const _Float16 *)b_ptr[l].d, 16); + const vfloat32m2_t d_0 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d, 16); + + sumf = __riscv_vfmacc_vv_f32m2(sumf, __riscv_vfcvt_f_x_v_f32m2(sumi, 16), d_0, 16); + } + + __riscv_vse32_v_f32m2(s + x * 16, sumf, 16); + } +} + +void ggml_gemv_q4_K_16x1_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + const int qk = QK_K; + const int nb = n / qk; + const int ncols_interleaved = 16; + const int blocklen = 1; + + assert (n % qk == 0); + assert (nc % ncols_interleaved == 0); + + UNUSED(s); + UNUSED(bs); + UNUSED(vx); + UNUSED(vy); + UNUSED(nr); + UNUSED(nc); + UNUSED(nb); + UNUSED(ncols_interleaved); + UNUSED(blocklen); + + const block_q8_K * a_ptr = (const block_q8_K *) vy; + + for (int x = 0; x < nc / ncols_interleaved; x++) { + const block_q4_Kx16 * b_ptr = (const block_q4_Kx16 *) vx + (x * nb); + + // 1x16 Accumulator + vfloat32m2_t sumf = __riscv_vfmv_v_f_f32m2(0.0f, 16); + + for (int l = 0; l < nb; l++) { + vint32m2_t sumi = __riscv_vmv_v_x_i32m2(0, 16); + + // Load `dmin`. + const vfloat32m2_t dmins_d = __riscv_vfmul_vf_f32m2( + __riscv_vfwcvt_f_f_v_f32m2(__riscv_vle16_v_f16m1((const _Float16 *)b_ptr[l].dmin, 16), 16), a_ptr[l].d, 16); + + // We process 4 sub-blocks at once. + for (int j = 0; j < QK_K / 128; j++) { + // Extract the scales and the mins. + // + // Low bits. + vuint8m2_t scales_mins_lo = __riscv_vle8_v_u8m2(&b_ptr[l].scales[j * 64], 64); + vuint8m2_t scales_lo = __riscv_vand_vx_u8m2(scales_mins_lo, 0x0F, 64); + vuint8m2_t mins_lo = __riscv_vsrl_vx_u8m2(scales_mins_lo, 4, 64); + + // High bits. + vuint8m2_t scales_mins_hi = __riscv_vle8_v_u8m2(&b_ptr[l].scales[128], 64); + vuint8m2_t scales_hi; + vuint8m2_t mins_hi; + if (!j) { + scales_hi = __riscv_vsll_vx_u8m2(__riscv_vand_vx_u8m2(scales_mins_hi, 0x03, 64), 4, 64); + mins_hi = __riscv_vsll_vx_u8m2(__riscv_vand_vx_u8m2(scales_mins_hi, 0x0C, 64), 2, 64); + } else { + scales_hi = __riscv_vand_vx_u8m2(scales_mins_hi, 0x30, 64); + mins_hi = __riscv_vsrl_vx_u8m2(__riscv_vand_vx_u8m2(scales_mins_hi, 0xC0, 64), 2, 64); + } + vuint16m4_t scales = __riscv_vzext_vf2_u16m4(__riscv_vor_vv_u8m2(scales_hi, scales_lo, 64), 64); + vint16m4_t mins = __riscv_vreinterpret_v_u16m4_i16m4(__riscv_vzext_vf2_u16m4(__riscv_vor_vv_u8m2(mins_hi, mins_lo, 64), 64)); + + // Reduce the mins and multiply with `dmin`. + // + // Correct in `sumf`. + vint32m2_t bsums = __riscv_vmv_v_x_i32m2(0, 16); + bsums = __riscv_vwmacc_vx_i32m2(bsums, a_ptr[l].bsums[j * 8] + a_ptr[l].bsums[j * 8 + 1], __riscv_vget_v_i16m4_i16m1(mins, 0), 16); + bsums = __riscv_vwmacc_vx_i32m2(bsums, a_ptr[l].bsums[j * 8 + 2] + a_ptr[l].bsums[j * 8 + 3], __riscv_vget_v_i16m4_i16m1(mins, 1), 16); + bsums = __riscv_vwmacc_vx_i32m2(bsums, a_ptr[l].bsums[j * 8 + 4] + a_ptr[l].bsums[j * 8 + 5], __riscv_vget_v_i16m4_i16m1(mins, 2), 16); + bsums = __riscv_vwmacc_vx_i32m2(bsums, a_ptr[l].bsums[j * 8 + 6] + a_ptr[l].bsums[j * 8 + 7], __riscv_vget_v_i16m4_i16m1(mins, 3), 16); + + sumf = __riscv_vfsub_vv_f32m2(sumf, __riscv_vfmul_vv_f32m2(dmins_d, __riscv_vfcvt_f_x_v_f32m2(bsums, 16), 16), 16); + + // Accumulation for 2 sub-blocks. + // + // This might overflow, so we accumulate in two steps. + // + // Recheck. + for (int k = 0; k < 2; k++) { + vint16m1_t sumi_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + + for (int i = k * 16; i < k * 16 + QK4_0 / 2; i++) { + // Load `b_ptr`. + const vuint8mf2_t b_0_packed = __riscv_vle8_v_u8mf2(&b_ptr[l].qs[j * 1024 + i * 16], 16); + const vint8mf2_t b_s_0 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(b_0_packed, 0xF, 16)); + const vint8mf2_t b_s_1 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vsrl_vx_u8mf2(b_0_packed, 4, 16)); + + sumi_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_s_0_16, a_ptr[l].qs[j * 128 + i], b_s_0, 16); + sumi_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_s_1_16, a_ptr[l].qs[j * 128 + 32 + i], b_s_1, 16); + } + + sumi = __riscv_vwmacc_vv_i32m2(sumi, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 0)), + sumi_s_0_16, 16); + sumi = __riscv_vwmacc_vv_i32m2(sumi, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 1)), + sumi_s_1_16, 16); + } + // Accumulation for 2 sub-blocks. + // + // This might overflow, so we accumulate in two steps. + // + // Recheck. + for (int k = 0; k < 2; k++) { + vint16m1_t sumi_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + + for (int i = k * 16; i < k * 16 + QK4_0 / 2; i++) { + // Load `b_ptr`. + const vuint8mf2_t b_0_packed = __riscv_vle8_v_u8mf2(&b_ptr[l].qs[j * 1024 + 512 + i * 16], 16); + const vint8mf2_t b_s_0 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(b_0_packed, 0xF, 16)); + const vint8mf2_t b_s_1 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vsrl_vx_u8mf2(b_0_packed, 4, 16)); + + sumi_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_s_0_16, a_ptr[l].qs[j * 128 + 64 + i], b_s_0, 16); + sumi_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_s_1_16, a_ptr[l].qs[j * 128 + 96 + i], b_s_1, 16); + } + + sumi = __riscv_vwmacc_vv_i32m2(sumi, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 2)), + sumi_s_0_16, 16); + sumi = __riscv_vwmacc_vv_i32m2(sumi, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 3)), + sumi_s_1_16, 16); + } + } + + const vfloat32m2_t b_d = __riscv_vfwcvt_f_f_v_f32m2(__riscv_vle16_v_f16m1((const _Float16 *)&b_ptr[l].d[0], 16), 16); + const vfloat32m2_t d_0 = __riscv_vfmul_vf_f32m2(b_d, a_ptr[l].d, 16); + + sumf = __riscv_vfmacc_vv_f32m2(sumf, __riscv_vfcvt_f_x_v_f32m2(sumi, 16), d_0, 16); + } + + __riscv_vse32_v_f32m2(s + x * 16, sumf, 16); + } +} + +void ggml_gemv_iq4_nl_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + const int qk = QK8_0; + const int nb = n / qk; + const int ncols_interleaved = 16; + const int blocklen = 1; + + assert (n % qk == 0); + assert (nc % ncols_interleaved == 0); + + UNUSED(s); + UNUSED(bs); + UNUSED(vx); + UNUSED(vy); + UNUSED(nr); + UNUSED(nc); + UNUSED(nb); + UNUSED(ncols_interleaved); + UNUSED(blocklen); + + const vint8mf2_t values = __riscv_vle8_v_i8mf2(kvalues_iq4nl, 16); + const block_q8_0 * a_ptr = (const block_q8_0 *) vy; + for (int x = 0; x < nc / ncols_interleaved; x++) { + const block_iq4_nlx16 * b_ptr = (const block_iq4_nlx16 *) vx + (x * nb); + + // 1x16 Accumulator1 + vfloat32m2_t sumf = __riscv_vfmv_v_f_f32m2(0.0f, 16); + + for (int l = 0; l < nb; l++) { + // 1x16 integer accumulator + vint32m2_t sumi = __riscv_vmv_v_x_i32m2(0.0f, 16); + + // Accumulation loop. + for (int i = 0; i < QK4_NL / 2; i++) { + // Load `b_ptr`. + const vuint8mf2_t b_0_packed = __riscv_vle8_v_u8mf2((const uint8_t *)&b_ptr[l].qs[i * 16], 16); + const vint8mf2_t b_0_lo = __riscv_vrgather_vv_i8mf2(values, __riscv_vand_vx_u8mf2(b_0_packed, 0xf, 16), 16); + const vint8mf2_t b_0_hi = __riscv_vrgather_vv_i8mf2(values, __riscv_vsrl_vx_u8mf2(b_0_packed, 4, 16), 16); + // const vint16m1_t b_0_lo_16 = __riscv_vwcvt_x_x_v_i16m1(b_0_lo, 16); + // const vint16m1_t b_0_hi_16 = __riscv_vwcvt_x_x_v_i16m1(b_0_hi, 16); + + const vint16m1_t sumi_lo = __riscv_vwmul_vx_i16m1(b_0_lo, a_ptr[l].qs[i], 16); + const vint16m1_t sumi_hi = __riscv_vwmul_vx_i16m1(b_0_hi, a_ptr[l].qs[16 + i], 16); + sumi = __riscv_vadd_vv_i32m2(sumi, __riscv_vwadd_vv_i32m2(sumi_lo, sumi_hi, 16), 16); + } + + const vfloat16m1_t b_d = __riscv_vle16_v_f16m1((const _Float16 *)b_ptr[l].d, 16); + const vfloat32m2_t d_0 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d, 16); + + sumf = __riscv_vfmacc_vv_f32m2(sumf, __riscv_vfcvt_f_x_v_f32m2(sumi, 16), d_0, 16); + } + + __riscv_vse32_v_f32m2(s + x * 16, sumf, 16); + } +} + +void ggml_gemv_q8_0_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + const int qk = QK8_0; + const int nb = n / qk; + const int ncols_interleaved = 16; + const int blocklen = 1; + + assert (n % qk == 0); + assert (nc % ncols_interleaved == 0); + + UNUSED(s); + UNUSED(bs); + UNUSED(vx); + UNUSED(vy); + UNUSED(nr); + UNUSED(nc); + UNUSED(nb); + UNUSED(ncols_interleaved); + UNUSED(blocklen); + UNUSED(bs); + + const block_q8_0 * a_ptr = (const block_q8_0 *) vy; + for (int x = 0; x < nc / ncols_interleaved; x++) { + const block_q8_0x16 * b_ptr = (const block_q8_0x16 *) vx + (x * nb); + + // 1x16 Accumulator + vfloat32m2_t sumf = __riscv_vfmv_v_f_f32m2(0.0f, 16); + + for (int l = 0; l < nb; l++) { + // 1x16 Integer Accumulator + vint32m2_t sumi = __riscv_vmv_v_x_i32m2(0.0f, 16); + + // Accumulation loop. + for (int i = 0; i < QK8_0; i++) { + // Load `b_ptr`. + const vint8mf2_t b_0 = __riscv_vle8_v_i8mf2((const int8_t *)&b_ptr[l].qs[i * 16], 16); + // const vint16m1_t b_0_16 = __riscv_vwcvt_x_x_v_i16m1(b_0, 16); + + sumi = __riscv_vwadd_wv_i32m2(sumi, __riscv_vwmul_vx_i16m1(b_0, a_ptr[l].qs[i], 16), 16); + } + + const vfloat16m1_t b_d = __riscv_vle16_v_f16m1((const _Float16 *)b_ptr[l].d, 16); + const vfloat32m2_t d_0 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d, 16); + + sumf = __riscv_vfmacc_vv_f32m2(sumf, __riscv_vfcvt_f_x_v_f32m2(sumi, 16), d_0, 16); + } + + __riscv_vse32_v_f32m2(s + x * 16, sumf, 16); + } +} + +void ggml_gemv_q2_K_16x1_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + assert(n % QK_K == 0); + assert(nr == 1); + assert(nc % 16 == 0); + + UNUSED(bs); + + const int N_COLS_TILE = 16; + const int num_k_blocks = n / QK_K; + + const size_t vl = __riscv_vsetvl_e32m2(N_COLS_TILE); + for (int col_tile = 0; col_tile < nc; col_tile += N_COLS_TILE) { + + const block_q8_K* lhs_base_ptr = (const block_q8_K*)vy; + const block_q2_Kx16* rhs_base_ptr = (const block_q2_Kx16*)vx + (col_tile / N_COLS_TILE) * num_k_blocks; + + vfloat32m2_t v_sumf = __riscv_vfmv_v_f_f32m2(0.0f, vl); + + for (int k_block = 0; k_block < num_k_blocks; ++k_block) { + const block_q8_K* lhs_current = &lhs_base_ptr[k_block]; + const block_q2_Kx16* rhs_current = &rhs_base_ptr[k_block]; + + // 1. Prepare Global Min Scales + vfloat16m1_t v_g_min_f16 = __riscv_vle16_v_f16m1((const _Float16*)rhs_current->dmin, vl); + vfloat32m2_t v_g_min_base = __riscv_vfwcvt_f_f_v_f32m2(v_g_min_f16, vl); + + vfloat32m2_t v_g_min_final = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d, vl); + + vint32m2_t v_isum = __riscv_vmv_v_x_i32m2(0, vl); + + const uint8_t* rhs_qs_ptr = rhs_current->qs; + const uint8_t* rhs_sc_ptr = rhs_current->scales; + const int8_t* lhs_qs_ptr = lhs_current->qs; + + // --- Phase Loop (4 phases x 64 elements) --- + for (int phase = 0; phase < 4; ++phase) { + + // A. Load Scales/Mins + vuint16m1_t v_d_sb_0, v_d_sb_1, v_d_sb_2, v_d_sb_3; + vuint16m1_t v_m_sb_0, v_m_sb_1, v_m_sb_2, v_m_sb_3; + + { + vuint8mf2_t v_raw; + // Sub-block 0 + v_raw = __riscv_vle8_v_u8mf2(rhs_sc_ptr + 0, vl); + v_d_sb_0 = __riscv_vzext_vf2_u16m1(__riscv_vand_vx_u8mf2(v_raw, 0xF, vl), vl); + v_m_sb_0 = __riscv_vzext_vf2_u16m1(__riscv_vsrl_vx_u8mf2(v_raw, 4, vl), vl); + + // Sub-block 1 + v_raw = __riscv_vle8_v_u8mf2(rhs_sc_ptr + 16, vl); + v_d_sb_1 = __riscv_vzext_vf2_u16m1(__riscv_vand_vx_u8mf2(v_raw, 0xF, vl), vl); + v_m_sb_1 = __riscv_vzext_vf2_u16m1(__riscv_vsrl_vx_u8mf2(v_raw, 4, vl), vl); + + // Sub-block 2 + v_raw = __riscv_vle8_v_u8mf2(rhs_sc_ptr + 32, vl); + v_d_sb_2 = __riscv_vzext_vf2_u16m1(__riscv_vand_vx_u8mf2(v_raw, 0xF, vl), vl); + v_m_sb_2 = __riscv_vzext_vf2_u16m1(__riscv_vsrl_vx_u8mf2(v_raw, 4, vl), vl); + + // Sub-block 3 + v_raw = __riscv_vle8_v_u8mf2(rhs_sc_ptr + 48, vl); + v_d_sb_3 = __riscv_vzext_vf2_u16m1(__riscv_vand_vx_u8mf2(v_raw, 0xF, vl), vl); + v_m_sb_3 = __riscv_vzext_vf2_u16m1(__riscv_vsrl_vx_u8mf2(v_raw, 4, vl), vl); + + rhs_sc_ptr += 64; + } + + int base_k_phase = (phase < 2) ? (phase * 16) : (128 + (phase-2)*16); + int k_offsets[4] = {0, 32, 64, 96}; + + // B. Inner Dot Product Loop + for (int l = 0; l < 16; ++l) { + vuint8mf2_t v_rhs_data = __riscv_vle8_v_u8mf2(rhs_qs_ptr, vl); + rhs_qs_ptr += 16; + + // Sub-block 0 + { + vuint8mf2_t v_q2 = __riscv_vand_vx_u8mf2(v_rhs_data, 3, vl); + vint16m1_t v_w = __riscv_vmul_vv_i16m1( + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vzext_vf2_u16m1(v_q2, vl)), + __riscv_vreinterpret_v_u16m1_i16m1(v_d_sb_0), vl); + + int8_t q8 = lhs_qs_ptr[base_k_phase + k_offsets[0] + l]; + v_isum = __riscv_vwmacc_vx_i32m2(v_isum, (int16_t)q8, v_w, vl); + } + // Sub-block 1 + { + vuint8mf2_t v_q2 = __riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(v_rhs_data, 2, vl), 3, vl); + vint16m1_t v_w = __riscv_vmul_vv_i16m1( + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vzext_vf2_u16m1(v_q2, vl)), + __riscv_vreinterpret_v_u16m1_i16m1(v_d_sb_1), vl); + + int8_t q8 = lhs_qs_ptr[base_k_phase + k_offsets[1] + l]; + v_isum = __riscv_vwmacc_vx_i32m2(v_isum, (int16_t)q8, v_w, vl); + } + // Sub-block 2 + { + vuint8mf2_t v_q2 = __riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(v_rhs_data, 4, vl), 3, vl); + vint16m1_t v_w = __riscv_vmul_vv_i16m1( + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vzext_vf2_u16m1(v_q2, vl)), + __riscv_vreinterpret_v_u16m1_i16m1(v_d_sb_2), vl); + + int8_t q8 = lhs_qs_ptr[base_k_phase + k_offsets[2] + l]; + v_isum = __riscv_vwmacc_vx_i32m2(v_isum, (int16_t)q8, v_w, vl); + } + // Sub-block 3 + { + vuint8mf2_t v_q2 = __riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(v_rhs_data, 6, vl), 3, vl); + vint16m1_t v_w = __riscv_vmul_vv_i16m1( + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vzext_vf2_u16m1(v_q2, vl)), + __riscv_vreinterpret_v_u16m1_i16m1(v_d_sb_3), vl); + + int8_t q8 = lhs_qs_ptr[base_k_phase + k_offsets[3] + l]; + v_isum = __riscv_vwmacc_vx_i32m2(v_isum, (int16_t)q8, v_w, vl); + } + } + + // correction + int sb_base_abs = base_k_phase / 16; + + // Sub-block 0 + { + int sb_idx = sb_base_abs + (k_offsets[0] / 16); + int16_t bsum = lhs_current->bsums[sb_idx]; + vint16m1_t v_min = __riscv_vreinterpret_v_u16m1_i16m1(v_m_sb_0); + vint32m2_t v_c = __riscv_vwmul_vx_i32m2(v_min, bsum, vl); + vfloat32m2_t vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min_final, vl); + v_sumf = __riscv_vfsub_vv_f32m2(v_sumf, vf_c, vl); + } + // Sub-block 1 + { + int sb_idx = sb_base_abs + (k_offsets[1] / 16); + int16_t bsum = lhs_current->bsums[sb_idx]; + vint16m1_t v_min = __riscv_vreinterpret_v_u16m1_i16m1(v_m_sb_1); + vint32m2_t v_c = __riscv_vwmul_vx_i32m2(v_min, bsum, vl); + vfloat32m2_t vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min_final, vl); + v_sumf = __riscv_vfsub_vv_f32m2(v_sumf, vf_c, vl); + } + // Sub-block 2 + { + int sb_idx = sb_base_abs + (k_offsets[2] / 16); + int16_t bsum = lhs_current->bsums[sb_idx]; + vint16m1_t v_min = __riscv_vreinterpret_v_u16m1_i16m1(v_m_sb_2); + vint32m2_t v_c = __riscv_vwmul_vx_i32m2(v_min, bsum, vl); + vfloat32m2_t vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min_final, vl); + v_sumf = __riscv_vfsub_vv_f32m2(v_sumf, vf_c, vl); + } + // Sub-block 3 + { + int sb_idx = sb_base_abs + (k_offsets[3] / 16); + int16_t bsum = lhs_current->bsums[sb_idx]; + vint16m1_t v_min = __riscv_vreinterpret_v_u16m1_i16m1(v_m_sb_3); + vint32m2_t v_c = __riscv_vwmul_vx_i32m2(v_min, bsum, vl); + vfloat32m2_t vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min_final, vl); + v_sumf = __riscv_vfsub_vv_f32m2(v_sumf, vf_c, vl); + } + + } // End Phase Loop + + // Apply global Scales + vfloat16m1_t v_g_all_f16 = __riscv_vle16_v_f16m1((const _Float16*)rhs_current->d, vl); + vfloat32m2_t v_g_all_base = __riscv_vfwcvt_f_f_v_f32m2(v_g_all_f16, vl); + + vfloat32m2_t v_g_all_final = __riscv_vfmul_vf_f32m2(v_g_all_base, lhs_current->d, vl); + vfloat32m2_t v_sum = __riscv_vfcvt_f_x_v_f32m2(v_isum, vl); + v_sum = __riscv_vfmul_vv_f32m2(v_sum, v_g_all_final, vl); + v_sumf = __riscv_vfadd_vv_f32m2(v_sumf, v_sum, vl); + + } // End K-Block + __riscv_vse32_v_f32m2(s + col_tile, v_sumf, vl); + } +} +#endif + void ggml_gemm_q4_0_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { const int qk = QK8_0; const int nb = n / qk; @@ -340,3 +892,812 @@ void ggml_gemm_q4_0_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const vo #endif ggml_gemm_q4_0_8x8_q8_0_generic(n, s, bs, vx, vy, nr, nc); } + +#if defined __riscv_zvfh +void ggml_gemm_q4_0_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + const int qk = QK8_0; + const int nb = n / qk; + const int ncols_interleaved = 16; + const int blocklen = 1; + + assert (n % qk == 0); + assert (nr % 4 == 0); + assert (nc % ncols_interleaved == 0); + + UNUSED(s); + UNUSED(bs); + UNUSED(vx); + UNUSED(vy); + UNUSED(nr); + UNUSED(nc); + UNUSED(nb); + UNUSED(ncols_interleaved); + UNUSED(blocklen); + + for (int y = 0; y < nr / 4; y++) { + const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb); + for (int x = 0; x < nc / ncols_interleaved; x++) { + const block_q4_0x16 * b_ptr = (const block_q4_0x16 *) vx + (x * nb); + + // 4x16 Accumulators + vfloat32m2_t sumf_0 = __riscv_vfmv_v_f_f32m2(0.0f, 16); + vfloat32m2_t sumf_1 = __riscv_vfmv_v_f_f32m2(0.0f, 16); + vfloat32m2_t sumf_2 = __riscv_vfmv_v_f_f32m2(0.0f, 16); + vfloat32m2_t sumf_3 = __riscv_vfmv_v_f_f32m2(0.0f, 16); + + for (int l = 0; l < nb; l++) { + // 4x16 integer accumulators + vint16m1_t sumi_0_lo_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_1_lo_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_2_lo_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_3_lo_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_0_hi_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_1_hi_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_2_hi_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_3_hi_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + + // Accumulation loop. + for (int i = 0; i < QK4_0 / 2; i++) { + // Load `b_ptr`. + const vint8mf2_t b_0_packed = __riscv_vle8_v_i8mf2((const int8_t *)&b_ptr[l].qs[i * 16], 16); + const vint8mf2_t b_0_lo = __riscv_vsra_vx_i8mf2(__riscv_vsll_vx_i8mf2(b_0_packed, 4, 16), 4, 16); + const vint8mf2_t b_0_hi = __riscv_vsra_vx_i8mf2(b_0_packed, 4, 16); + + sumi_0_lo_16 = __riscv_vwmacc_vx_i16m1(sumi_0_lo_16, a_ptr[l].qs[i * 4], b_0_lo, 16); + sumi_1_lo_16 = __riscv_vwmacc_vx_i16m1(sumi_1_lo_16, a_ptr[l].qs[i * 4 + 1], b_0_lo, 16); + sumi_2_lo_16 = __riscv_vwmacc_vx_i16m1(sumi_2_lo_16, a_ptr[l].qs[i * 4 + 2], b_0_lo, 16); + sumi_3_lo_16 = __riscv_vwmacc_vx_i16m1(sumi_3_lo_16, a_ptr[l].qs[i * 4 + 3], b_0_lo, 16); + + sumi_0_hi_16 = __riscv_vwmacc_vx_i16m1(sumi_0_hi_16, a_ptr[l].qs[64 + i * 4], b_0_hi, 16); + sumi_1_hi_16 = __riscv_vwmacc_vx_i16m1(sumi_1_hi_16, a_ptr[l].qs[64 + i * 4 + 1], b_0_hi, 16); + sumi_2_hi_16 = __riscv_vwmacc_vx_i16m1(sumi_2_hi_16, a_ptr[l].qs[64 + i * 4 + 2], b_0_hi, 16); + sumi_3_hi_16 = __riscv_vwmacc_vx_i16m1(sumi_3_hi_16, a_ptr[l].qs[64 + i * 4 + 3], b_0_hi, 16); + } + + // Do the final accumulation in i32 to prevent overflow. + const vint32m2_t sumi_0 = __riscv_vwadd_vv_i32m2(sumi_0_lo_16, sumi_0_hi_16, 16); + const vint32m2_t sumi_1 = __riscv_vwadd_vv_i32m2(sumi_1_lo_16, sumi_1_hi_16, 16); + const vint32m2_t sumi_2 = __riscv_vwadd_vv_i32m2(sumi_2_lo_16, sumi_2_hi_16, 16); + const vint32m2_t sumi_3 = __riscv_vwadd_vv_i32m2(sumi_3_lo_16, sumi_3_hi_16, 16); + + const vfloat16m1_t b_d = __riscv_vle16_v_f16m1((const _Float16 *)b_ptr[l].d, 16); + const vfloat32m2_t d_0 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[0], 16); + const vfloat32m2_t d_1 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[1], 16); + const vfloat32m2_t d_2 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[2], 16); + const vfloat32m2_t d_3 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[3], 16); + + sumf_0 = __riscv_vfmacc_vv_f32m2(sumf_0, __riscv_vfcvt_f_x_v_f32m2(sumi_0, 16), d_0, 16); + sumf_1 = __riscv_vfmacc_vv_f32m2(sumf_1, __riscv_vfcvt_f_x_v_f32m2(sumi_1, 16), d_1, 16); + sumf_2 = __riscv_vfmacc_vv_f32m2(sumf_2, __riscv_vfcvt_f_x_v_f32m2(sumi_2, 16), d_2, 16); + sumf_3 = __riscv_vfmacc_vv_f32m2(sumf_3, __riscv_vfcvt_f_x_v_f32m2(sumi_3, 16), d_3, 16); + } + + __riscv_vse32_v_f32m2(s + (y * 4 + 0) * bs + x * 16, sumf_0, 16); + __riscv_vse32_v_f32m2(s + (y * 4 + 1) * bs + x * 16, sumf_1, 16); + __riscv_vse32_v_f32m2(s + (y * 4 + 2) * bs + x * 16, sumf_2, 16); + __riscv_vse32_v_f32m2(s + (y * 4 + 3) * bs + x * 16, sumf_3, 16); + } + } +} + +void ggml_gemm_q4_K_16x1_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + const int qk = QK_K; + const int nb = n / qk; + const int ncols_interleaved = 16; + const int blocklen = 1; + + assert (n % qk == 0); + assert (nr % 4 == 0); + assert (nc % ncols_interleaved == 0); + + UNUSED(s); + UNUSED(bs); + UNUSED(vx); + UNUSED(vy); + UNUSED(nr); + UNUSED(nc); + UNUSED(nb); + UNUSED(ncols_interleaved); + UNUSED(blocklen); + + for (int y = 0; y < nr / 4; y++) { + const block_q8_Kx4 * a_ptr = (const block_q8_Kx4 *) vy + (y * nb); + for (int x = 0; x < nc / ncols_interleaved; x++) { + const block_q4_Kx16 * b_ptr = (const block_q4_Kx16 *) vx + (x * nb); + + // 4x16 Accumulators + vfloat32m2_t sumf_0 = __riscv_vfmv_v_f_f32m2(0.0f, 16); + vfloat32m2_t sumf_1 = __riscv_vfmv_v_f_f32m2(0.0f, 16); + vfloat32m2_t sumf_2 = __riscv_vfmv_v_f_f32m2(0.0f, 16); + vfloat32m2_t sumf_3 = __riscv_vfmv_v_f_f32m2(0.0f, 16); + + for (int l = 0; l < nb; l++) { + vint32m2_t sumi_0 = __riscv_vmv_v_x_i32m2(0, 16); + vint32m2_t sumi_1 = __riscv_vmv_v_x_i32m2(0, 16); + vint32m2_t sumi_2 = __riscv_vmv_v_x_i32m2(0, 16); + vint32m2_t sumi_3 = __riscv_vmv_v_x_i32m2(0, 16); + + // Load `dmin`. + const vfloat32m2_t dmins = __riscv_vfwcvt_f_f_v_f32m2(__riscv_vle16_v_f16m1((const _Float16 *)b_ptr[l].dmin, 16), 16); + + // We process 4 sub-blocks at once. + for (int j = 0; j < QK_K / 128; j++) { + // Extract the scales and the mins. + // + // Low bits. + vuint8m2_t scales_mins_lo = __riscv_vle8_v_u8m2(&b_ptr[l].scales[j * 64], 64); + vuint8m2_t scales_lo = __riscv_vand_vx_u8m2(scales_mins_lo, 0x0F, 64); + vuint8m2_t mins_lo = __riscv_vsrl_vx_u8m2(scales_mins_lo, 4, 64); + + // High bits. + vuint8m2_t scales_mins_hi = __riscv_vle8_v_u8m2(&b_ptr[l].scales[128], 64); + vuint8m2_t scales_hi; + vuint8m2_t mins_hi; + if (!j) { + scales_hi = __riscv_vsll_vx_u8m2(__riscv_vand_vx_u8m2(scales_mins_hi, 0x03, 64), 4, 64); + mins_hi = __riscv_vsll_vx_u8m2(__riscv_vand_vx_u8m2(scales_mins_hi, 0x0C, 64), 2, 64); + } else { + scales_hi = __riscv_vand_vx_u8m2(scales_mins_hi, 0x30, 64); + mins_hi = __riscv_vsrl_vx_u8m2(__riscv_vand_vx_u8m2(scales_mins_hi, 0xC0, 64), 2, 64); + } + vuint16m4_t scales = __riscv_vzext_vf2_u16m4(__riscv_vor_vv_u8m2(scales_hi, scales_lo, 64), 64); + vint16m4_t mins = __riscv_vreinterpret_v_u16m4_i16m4(__riscv_vzext_vf2_u16m4(__riscv_vor_vv_u8m2(mins_hi, mins_lo, 64), 64)); + + // Reduce the mins and multiply with `dmin`. + // + // Correct in `sumf`. + vint32m2_t bsums_0 = __riscv_vmv_v_x_i32m2(0, 16); + vint32m2_t bsums_1 = __riscv_vmv_v_x_i32m2(0, 16); + vint32m2_t bsums_2 = __riscv_vmv_v_x_i32m2(0, 16); + vint32m2_t bsums_3 = __riscv_vmv_v_x_i32m2(0, 16); + + bsums_0 = __riscv_vwmacc_vx_i32m2(bsums_0, + a_ptr[l].bsums[j * 32] + a_ptr[l].bsums[j * 32 + 4], + __riscv_vget_v_i16m4_i16m1(mins, 0), 16); + bsums_1 = __riscv_vwmacc_vx_i32m2(bsums_1, + a_ptr[l].bsums[j * 32 + 1] + a_ptr[l].bsums[j * 32 + 5], + __riscv_vget_v_i16m4_i16m1(mins, 0), 16); + bsums_2 = __riscv_vwmacc_vx_i32m2(bsums_2, + a_ptr[l].bsums[j * 32 + 2] + a_ptr[l].bsums[j * 32 + 6], + __riscv_vget_v_i16m4_i16m1(mins, 0), 16); + bsums_3 = __riscv_vwmacc_vx_i32m2(bsums_3, + a_ptr[l].bsums[j * 32 + 3] + a_ptr[l].bsums[j * 32 + 7], + __riscv_vget_v_i16m4_i16m1(mins, 0), 16); + bsums_0 = __riscv_vwmacc_vx_i32m2(bsums_0, + a_ptr[l].bsums[j * 32 + 8] + a_ptr[l].bsums[j * 32 + 8 + 4], + __riscv_vget_v_i16m4_i16m1(mins, 1), 16); + bsums_1 = __riscv_vwmacc_vx_i32m2(bsums_1, + a_ptr[l].bsums[j * 32 + 8 + 1] + a_ptr[l].bsums[j * 32 + 8 + 5], + __riscv_vget_v_i16m4_i16m1(mins, 1), 16); + bsums_2 = __riscv_vwmacc_vx_i32m2(bsums_2, + a_ptr[l].bsums[j * 32 + 8 + 2] + a_ptr[l].bsums[j * 32 + 8 + 6], + __riscv_vget_v_i16m4_i16m1(mins, 1), 16); + bsums_3 = __riscv_vwmacc_vx_i32m2(bsums_3, + a_ptr[l].bsums[j * 32 + 8 + 3] + a_ptr[l].bsums[j * 32 + 8 + 7], + __riscv_vget_v_i16m4_i16m1(mins, 1), 16); + bsums_0 = __riscv_vwmacc_vx_i32m2(bsums_0, + a_ptr[l].bsums[j * 32 + 16] + a_ptr[l].bsums[j * 32 + 16 + 4], + __riscv_vget_v_i16m4_i16m1(mins, 2), 16); + bsums_1 = __riscv_vwmacc_vx_i32m2(bsums_1, + a_ptr[l].bsums[j * 32 + 16 + 1] + a_ptr[l].bsums[j * 32 + 16 + 5], + __riscv_vget_v_i16m4_i16m1(mins, 2), 16); + bsums_2 = __riscv_vwmacc_vx_i32m2(bsums_2, + a_ptr[l].bsums[j * 32 + 16 + 2] + a_ptr[l].bsums[j * 32 + 16 + 6], + __riscv_vget_v_i16m4_i16m1(mins, 2), 16); + bsums_3 = __riscv_vwmacc_vx_i32m2(bsums_3, + a_ptr[l].bsums[j * 32 + 16 + 3] + a_ptr[l].bsums[j * 32 + 16 + 7], + __riscv_vget_v_i16m4_i16m1(mins, 2), 16); + bsums_0 = __riscv_vwmacc_vx_i32m2(bsums_0, + a_ptr[l].bsums[j * 32 + 24 + 0] + a_ptr[l].bsums[j * 32 + 24 + 4], + __riscv_vget_v_i16m4_i16m1(mins, 3), 16); + bsums_1 = __riscv_vwmacc_vx_i32m2(bsums_1, + a_ptr[l].bsums[j * 32 + 24 + 1] + a_ptr[l].bsums[j * 32 + 24 + 5], + __riscv_vget_v_i16m4_i16m1(mins, 3), 16); + bsums_2 = __riscv_vwmacc_vx_i32m2(bsums_2, + a_ptr[l].bsums[j * 32 + 24 + 2] + a_ptr[l].bsums[j * 32 + 24 + 6], + __riscv_vget_v_i16m4_i16m1(mins, 3), 16); + bsums_3 = __riscv_vwmacc_vx_i32m2(bsums_3, + a_ptr[l].bsums[j * 32 + 24 + 3] + a_ptr[l].bsums[j * 32 + 24 + 7], + __riscv_vget_v_i16m4_i16m1(mins, 3), 16); + + const vfloat32m2_t dmins_d_0 = __riscv_vfmul_vf_f32m2(dmins, a_ptr[l].d[0], 16); + const vfloat32m2_t dmins_d_1 = __riscv_vfmul_vf_f32m2(dmins, a_ptr[l].d[1], 16); + const vfloat32m2_t dmins_d_2 = __riscv_vfmul_vf_f32m2(dmins, a_ptr[l].d[2], 16); + const vfloat32m2_t dmins_d_3 = __riscv_vfmul_vf_f32m2(dmins, a_ptr[l].d[3], 16); + + sumf_0 = __riscv_vfsub_vv_f32m2(sumf_0, __riscv_vfmul_vv_f32m2(dmins_d_0, __riscv_vfcvt_f_x_v_f32m2(bsums_0, 16), 16), 16); + sumf_1 = __riscv_vfsub_vv_f32m2(sumf_1, __riscv_vfmul_vv_f32m2(dmins_d_1, __riscv_vfcvt_f_x_v_f32m2(bsums_1, 16), 16), 16); + sumf_2 = __riscv_vfsub_vv_f32m2(sumf_2, __riscv_vfmul_vv_f32m2(dmins_d_2, __riscv_vfcvt_f_x_v_f32m2(bsums_2, 16), 16), 16); + sumf_3 = __riscv_vfsub_vv_f32m2(sumf_3, __riscv_vfmul_vv_f32m2(dmins_d_3, __riscv_vfcvt_f_x_v_f32m2(bsums_3, 16), 16), 16); + + + // Accumulation for 2 sub-blocks. + // + // This might overflow, so we accumulate in two steps. + // + // Recheck. + for (int k = 0; k < 2; k++) { + // 4x16 integer accumulators + vint16m1_t sumi_0_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_1_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_2_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_3_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_0_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_1_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_2_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_3_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + + for (int i = k * 16; i < k * 16 + QK4_0 / 2; i++) { + // Load `b_ptr`. + const vuint8mf2_t b_0_packed = __riscv_vle8_v_u8mf2(&b_ptr[l].qs[j * 1024 + i * 16], 16); + const vint8mf2_t b_s_0 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(b_0_packed, 0xF, 16)); + const vint8mf2_t b_s_1 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vsrl_vx_u8mf2(b_0_packed, 4, 16)); + + sumi_0_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_0_s_0_16, a_ptr[l].qs[j * 512 + i * 4], b_s_0, 16); + sumi_1_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_1_s_0_16, a_ptr[l].qs[j * 512 + i * 4 + 1], b_s_0, 16); + sumi_2_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_2_s_0_16, a_ptr[l].qs[j * 512 + i * 4 + 2], b_s_0, 16); + sumi_3_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_3_s_0_16, a_ptr[l].qs[j * 512 + i * 4 + 3], b_s_0, 16); + + sumi_0_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_0_s_1_16, a_ptr[l].qs[j * 512 + 128 + i * 4], b_s_1, 16); + sumi_1_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_1_s_1_16, a_ptr[l].qs[j * 512 + 128 + i * 4 + 1], b_s_1, 16); + sumi_2_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_2_s_1_16, a_ptr[l].qs[j * 512 + 128 + i * 4 + 2], b_s_1, 16); + sumi_3_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_3_s_1_16, a_ptr[l].qs[j * 512 + 128 + i * 4 + 3], b_s_1, 16); + } + + sumi_0 = __riscv_vwmacc_vv_i32m2(sumi_0, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 0)), + sumi_0_s_0_16, 16); + sumi_0 = __riscv_vwmacc_vv_i32m2(sumi_0, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 1)), + sumi_0_s_1_16, 16); + sumi_1 = __riscv_vwmacc_vv_i32m2(sumi_1, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 0)), + sumi_1_s_0_16, 16); + sumi_1 = __riscv_vwmacc_vv_i32m2(sumi_1, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 1)), + sumi_1_s_1_16, 16); + sumi_2 = __riscv_vwmacc_vv_i32m2(sumi_2, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 0)), + sumi_2_s_0_16, 16); + sumi_2 = __riscv_vwmacc_vv_i32m2(sumi_2, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 1)), + sumi_2_s_1_16, 16); + sumi_3 = __riscv_vwmacc_vv_i32m2(sumi_3, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 0)), + sumi_3_s_0_16, 16); + sumi_3 = __riscv_vwmacc_vv_i32m2(sumi_3, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 1)), + sumi_3_s_1_16, 16); + } + // Accumulation for 2 sub-blocks. + // + // This might overflow, so we accumulate in two steps. + // + // Recheck. + for (int k = 0; k < 2; k++) { + // 4x16 integer accumulators + vint16m1_t sumi_0_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_1_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_2_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_3_s_0_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_0_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_1_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_2_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + vint16m1_t sumi_3_s_1_16 = __riscv_vmv_v_x_i16m1(0.0f, 16); + + for (int i = k * 16; i < k * 16 + QK4_0 / 2; i++) { + // Load `b_ptr`. + const vuint8mf2_t b_0_packed = __riscv_vle8_v_u8mf2(&b_ptr[l].qs[j * 1024 + 512 + i * 16], 16); + const vint8mf2_t b_s_0 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(b_0_packed, 0xF, 16)); + const vint8mf2_t b_s_1 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vsrl_vx_u8mf2(b_0_packed, 4, 16)); + + sumi_0_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_0_s_0_16, a_ptr[l].qs[j * 512 + 256 + i * 4], b_s_0, 16); + sumi_1_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_1_s_0_16, a_ptr[l].qs[j * 512 + 256 + i * 4 + 1], b_s_0, 16); + sumi_2_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_2_s_0_16, a_ptr[l].qs[j * 512 + 256 + i * 4 + 2], b_s_0, 16); + sumi_3_s_0_16 = __riscv_vwmacc_vx_i16m1(sumi_3_s_0_16, a_ptr[l].qs[j * 512 + 256 + i * 4 + 3], b_s_0, 16); + + sumi_0_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_0_s_1_16, a_ptr[l].qs[j * 512 + 384 + i * 4], b_s_1, 16); + sumi_1_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_1_s_1_16, a_ptr[l].qs[j * 512 + 384 + i * 4 + 1], b_s_1, 16); + sumi_2_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_2_s_1_16, a_ptr[l].qs[j * 512 + 384 + i * 4 + 2], b_s_1, 16); + sumi_3_s_1_16 = __riscv_vwmacc_vx_i16m1(sumi_3_s_1_16, a_ptr[l].qs[j * 512 + 384 + i * 4 + 3], b_s_1, 16); + } + + sumi_0 = __riscv_vwmacc_vv_i32m2(sumi_0, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 2)), + sumi_0_s_0_16, 16); + sumi_0 = __riscv_vwmacc_vv_i32m2(sumi_0, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 3)), + sumi_0_s_1_16, 16); + sumi_1 = __riscv_vwmacc_vv_i32m2(sumi_1, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 2)), + sumi_1_s_0_16, 16); + sumi_1 = __riscv_vwmacc_vv_i32m2(sumi_1, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 3)), + sumi_1_s_1_16, 16); + sumi_2 = __riscv_vwmacc_vv_i32m2(sumi_2, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 2)), + sumi_2_s_0_16, 16); + sumi_2 = __riscv_vwmacc_vv_i32m2(sumi_2, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 3)), + sumi_2_s_1_16, 16); + sumi_3 = __riscv_vwmacc_vv_i32m2(sumi_3, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 2)), + sumi_3_s_0_16, 16); + sumi_3 = __riscv_vwmacc_vv_i32m2(sumi_3, + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vget_v_u16m4_u16m1(scales, 3)), + sumi_3_s_1_16, 16); + } + } + + const vfloat32m2_t b_d = __riscv_vfwcvt_f_f_v_f32m2(__riscv_vle16_v_f16m1((const _Float16 *)b_ptr[l].d, 16), 16); + const vfloat32m2_t d_0 = __riscv_vfmul_vf_f32m2(b_d, a_ptr[l].d[0], 16); + const vfloat32m2_t d_1 = __riscv_vfmul_vf_f32m2(b_d, a_ptr[l].d[1], 16); + const vfloat32m2_t d_2 = __riscv_vfmul_vf_f32m2(b_d, a_ptr[l].d[2], 16); + const vfloat32m2_t d_3 = __riscv_vfmul_vf_f32m2(b_d, a_ptr[l].d[3], 16); + + sumf_0 = __riscv_vfmacc_vv_f32m2(sumf_0, __riscv_vfcvt_f_x_v_f32m2(sumi_0, 16), d_0, 16); + sumf_1 = __riscv_vfmacc_vv_f32m2(sumf_1, __riscv_vfcvt_f_x_v_f32m2(sumi_1, 16), d_1, 16); + sumf_2 = __riscv_vfmacc_vv_f32m2(sumf_2, __riscv_vfcvt_f_x_v_f32m2(sumi_2, 16), d_2, 16); + sumf_3 = __riscv_vfmacc_vv_f32m2(sumf_3, __riscv_vfcvt_f_x_v_f32m2(sumi_3, 16), d_3, 16); + } + + __riscv_vse32_v_f32m2(s + (y * 4 + 0) * bs + x * 16, sumf_0, 16); + __riscv_vse32_v_f32m2(s + (y * 4 + 1) * bs + x * 16, sumf_1, 16); + __riscv_vse32_v_f32m2(s + (y * 4 + 2) * bs + x * 16, sumf_2, 16); + __riscv_vse32_v_f32m2(s + (y * 4 + 3) * bs + x * 16, sumf_3, 16); + } + } +} + +void ggml_gemm_iq4_nl_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + const int qk = QK8_0; + const int nb = n / qk; + const int ncols_interleaved = 16; + const int blocklen = 1; + + assert (n % qk == 0); + assert (nr % 4 == 0); + assert (nc % ncols_interleaved == 0); + + UNUSED(s); + UNUSED(bs); + UNUSED(vx); + UNUSED(vy); + UNUSED(nr); + UNUSED(nc); + UNUSED(nb); + UNUSED(ncols_interleaved); + UNUSED(blocklen); + + const vint8mf2_t values = __riscv_vle8_v_i8mf2(kvalues_iq4nl, 16); + for (int y = 0; y < nr / 4; y++) { + const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb); + for (int x = 0; x < nc / ncols_interleaved; x++) { + const block_iq4_nlx16 * b_ptr = (const block_iq4_nlx16 *) vx + (x * nb); + + // 4x16 Accumulators + vfloat32m2_t sumf_0 = __riscv_vfmv_v_f_f32m2(0.0f, 16); + vfloat32m2_t sumf_1 = __riscv_vfmv_v_f_f32m2(0.0f, 16); + vfloat32m2_t sumf_2 = __riscv_vfmv_v_f_f32m2(0.0f, 16); + vfloat32m2_t sumf_3 = __riscv_vfmv_v_f_f32m2(0.0f, 16); + + for (int l = 0; l < nb; l++) { + // 4x16 integer accumulators + vint32m2_t sumi_0 = __riscv_vmv_v_x_i32m2(0.0f, 16); + vint32m2_t sumi_1 = __riscv_vmv_v_x_i32m2(0.0f, 16); + vint32m2_t sumi_2 = __riscv_vmv_v_x_i32m2(0.0f, 16); + vint32m2_t sumi_3 = __riscv_vmv_v_x_i32m2(0.0f, 16); + + // Accumulation loop. + for (int i = 0; i < QK4_NL / 2; i++) { + // Load `b_ptr`. + const vuint8mf2_t b_0_packed = __riscv_vle8_v_u8mf2((const uint8_t *)&b_ptr[l].qs[i * 16], 16); + const vint8mf2_t b_0_lo = __riscv_vrgather_vv_i8mf2(values, __riscv_vand_vx_u8mf2(b_0_packed, 0xf, 16), 16); + const vint8mf2_t b_0_hi = __riscv_vrgather_vv_i8mf2(values, __riscv_vsrl_vx_u8mf2(b_0_packed, 4, 16), 16); + // const vint16m1_t b_0_lo_16 = __riscv_vwcvt_x_x_v_i16m1(b_0_lo, 16); + // const vint16m1_t b_0_hi_16 = __riscv_vwcvt_x_x_v_i16m1(b_0_hi, 16); + + const vint16m1_t sumi_0_lo = __riscv_vwmul_vx_i16m1(b_0_lo, a_ptr[l].qs[i * 4], 16); + const vint16m1_t sumi_1_lo = __riscv_vwmul_vx_i16m1(b_0_lo, a_ptr[l].qs[i * 4 + 1], 16); + const vint16m1_t sumi_2_lo = __riscv_vwmul_vx_i16m1(b_0_lo, a_ptr[l].qs[i * 4 + 2], 16); + const vint16m1_t sumi_3_lo = __riscv_vwmul_vx_i16m1(b_0_lo, a_ptr[l].qs[i * 4 + 3], 16); + + const vint16m1_t sumi_0_hi = __riscv_vwmul_vx_i16m1(b_0_hi, a_ptr[l].qs[64 + i * 4], 16); + const vint16m1_t sumi_1_hi = __riscv_vwmul_vx_i16m1(b_0_hi, a_ptr[l].qs[64 + i * 4 + 1], 16); + const vint16m1_t sumi_2_hi = __riscv_vwmul_vx_i16m1(b_0_hi, a_ptr[l].qs[64 + i * 4 + 2], 16); + const vint16m1_t sumi_3_hi = __riscv_vwmul_vx_i16m1(b_0_hi, a_ptr[l].qs[64 + i * 4 + 3], 16); + + sumi_0 = __riscv_vadd_vv_i32m2(sumi_0, __riscv_vwadd_vv_i32m2(sumi_0_lo, sumi_0_hi, 16), 16); + sumi_1 = __riscv_vadd_vv_i32m2(sumi_1, __riscv_vwadd_vv_i32m2(sumi_1_lo, sumi_1_hi, 16), 16); + sumi_2 = __riscv_vadd_vv_i32m2(sumi_2, __riscv_vwadd_vv_i32m2(sumi_2_lo, sumi_2_hi, 16), 16); + sumi_3 = __riscv_vadd_vv_i32m2(sumi_3, __riscv_vwadd_vv_i32m2(sumi_3_lo, sumi_3_hi, 16), 16); + } + + const vfloat16m1_t b_d = __riscv_vle16_v_f16m1((const _Float16 *)b_ptr[l].d, 16); + const vfloat32m2_t d_0 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[0], 16); + const vfloat32m2_t d_1 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[1], 16); + const vfloat32m2_t d_2 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[2], 16); + const vfloat32m2_t d_3 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[3], 16); + + sumf_0 = __riscv_vfmacc_vv_f32m2(sumf_0, __riscv_vfcvt_f_x_v_f32m2(sumi_0, 16), d_0, 16); + sumf_1 = __riscv_vfmacc_vv_f32m2(sumf_1, __riscv_vfcvt_f_x_v_f32m2(sumi_1, 16), d_1, 16); + sumf_2 = __riscv_vfmacc_vv_f32m2(sumf_2, __riscv_vfcvt_f_x_v_f32m2(sumi_2, 16), d_2, 16); + sumf_3 = __riscv_vfmacc_vv_f32m2(sumf_3, __riscv_vfcvt_f_x_v_f32m2(sumi_3, 16), d_3, 16); + } + + __riscv_vse32_v_f32m2(s + (y * 4 + 0) * bs + x * 16, sumf_0, 16); + __riscv_vse32_v_f32m2(s + (y * 4 + 1) * bs + x * 16, sumf_1, 16); + __riscv_vse32_v_f32m2(s + (y * 4 + 2) * bs + x * 16, sumf_2, 16); + __riscv_vse32_v_f32m2(s + (y * 4 + 3) * bs + x * 16, sumf_3, 16); + } + } +} + +void ggml_gemm_q8_0_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + const int qk = QK8_0; + const int nb = n / qk; + const int ncols_interleaved = 16; + const int blocklen = 1; + + assert (n % qk == 0); + assert (nr % 4 == 0); + assert (nc % ncols_interleaved == 0); + + UNUSED(s); + UNUSED(bs); + UNUSED(vx); + UNUSED(vy); + UNUSED(nr); + UNUSED(nc); + UNUSED(nb); + UNUSED(ncols_interleaved); + UNUSED(blocklen); + + for (int y = 0; y < nr / 4; y++) { + const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb); + for (int x = 0; x < nc / ncols_interleaved; x++) { + const block_q8_0x16 * b_ptr = (const block_q8_0x16 *) vx + (x * nb); + + // 4x16 Accumulators + vfloat32m2_t sumf_0 = __riscv_vfmv_v_f_f32m2(0.0f, 16); + vfloat32m2_t sumf_1 = __riscv_vfmv_v_f_f32m2(0.0f, 16); + vfloat32m2_t sumf_2 = __riscv_vfmv_v_f_f32m2(0.0f, 16); + vfloat32m2_t sumf_3 = __riscv_vfmv_v_f_f32m2(0.0f, 16); + + for (int l = 0; l < nb; l++) { + // 4x16 Integer Accumulators + vint32m2_t sumi_0 = __riscv_vmv_v_x_i32m2(0.0f, 16); + vint32m2_t sumi_1 = __riscv_vmv_v_x_i32m2(0.0f, 16); + vint32m2_t sumi_2 = __riscv_vmv_v_x_i32m2(0.0f, 16); + vint32m2_t sumi_3 = __riscv_vmv_v_x_i32m2(0.0f, 16); + + // Accumulation loop. + for (int i = 0; i < QK8_0; i++) { + // Load `b_ptr`. + const vint8mf2_t b_0 = __riscv_vle8_v_i8mf2((const int8_t *)&b_ptr[l].qs[i * 16], 16); + // const vint16m1_t b_0_16 = __riscv_vwcvt_x_x_v_i16m1(b_0, 16); + + sumi_0 = __riscv_vwadd_wv_i32m2(sumi_0, __riscv_vwmul_vx_i16m1(b_0, a_ptr[l].qs[i * 4 + 0], 16), 16); + sumi_1 = __riscv_vwadd_wv_i32m2(sumi_1, __riscv_vwmul_vx_i16m1(b_0, a_ptr[l].qs[i * 4 + 1], 16), 16); + sumi_2 = __riscv_vwadd_wv_i32m2(sumi_2, __riscv_vwmul_vx_i16m1(b_0, a_ptr[l].qs[i * 4 + 2], 16), 16); + sumi_3 = __riscv_vwadd_wv_i32m2(sumi_3, __riscv_vwmul_vx_i16m1(b_0, a_ptr[l].qs[i * 4 + 3], 16), 16); + } + + const vfloat16m1_t b_d = __riscv_vle16_v_f16m1((const _Float16 *)b_ptr[l].d, 16); + const vfloat32m2_t d_0 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[0], 16); + const vfloat32m2_t d_1 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[1], 16); + const vfloat32m2_t d_2 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[2], 16); + const vfloat32m2_t d_3 = __riscv_vfwmul_vf_f32m2(b_d, *(const _Float16 *)&a_ptr[l].d[3], 16); + + sumf_0 = __riscv_vfmacc_vv_f32m2(sumf_0, __riscv_vfcvt_f_x_v_f32m2(sumi_0, 16), d_0, 16); + sumf_1 = __riscv_vfmacc_vv_f32m2(sumf_1, __riscv_vfcvt_f_x_v_f32m2(sumi_1, 16), d_1, 16); + sumf_2 = __riscv_vfmacc_vv_f32m2(sumf_2, __riscv_vfcvt_f_x_v_f32m2(sumi_2, 16), d_2, 16); + sumf_3 = __riscv_vfmacc_vv_f32m2(sumf_3, __riscv_vfcvt_f_x_v_f32m2(sumi_3, 16), d_3, 16); + } + + __riscv_vse32_v_f32m2(s + (y * 4 + 0) * bs + x * 16, sumf_0, 16); + __riscv_vse32_v_f32m2(s + (y * 4 + 1) * bs + x * 16, sumf_1, 16); + __riscv_vse32_v_f32m2(s + (y * 4 + 2) * bs + x * 16, sumf_2, 16); + __riscv_vse32_v_f32m2(s + (y * 4 + 3) * bs + x * 16, sumf_3, 16); + } + } +} + +void ggml_gemm_q2_K_16x1_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + assert(n % QK_K == 0); + const int num_k_blocks = n / QK_K; + const int N_ROWS_TILE = 4; + const int N_COLS_TILE = 16; + assert(nr % N_ROWS_TILE == 0); + assert(nc % N_COLS_TILE == 0); + + const size_t vl = __riscv_vsetvl_e32m2(N_COLS_TILE); + // --- Tiling Loops --- +#pragma GCC unroll 1 + for (int row_tile = 0; row_tile < nr; row_tile += N_ROWS_TILE) { +#pragma GCC unroll 1 + for (int col_tile = 0; col_tile < nc; col_tile += N_COLS_TILE) { + // Base Pointers + const block_q8_Kx4* lhs_base_ptr = (const block_q8_Kx4*)vy + (row_tile / N_ROWS_TILE) * num_k_blocks; + const block_q2_Kx16* rhs_base_ptr = (const block_q2_Kx16*)vx + (col_tile / N_COLS_TILE) * num_k_blocks; + + // Persistent Float Accumulators + vfloat32m2_t v_sumf_0 = __riscv_vfmv_v_f_f32m2(0.0f, vl); + vfloat32m2_t v_sumf_1 = __riscv_vfmv_v_f_f32m2(0.0f, vl); + vfloat32m2_t v_sumf_2 = __riscv_vfmv_v_f_f32m2(0.0f, vl); + vfloat32m2_t v_sumf_3 = __riscv_vfmv_v_f_f32m2(0.0f, vl); + + // --- Super-Block Loop (K=0..255) --- +#pragma GCC unroll 1 + for (int k_block = 0; k_block < num_k_blocks; ++k_block) { + const block_q8_Kx4* lhs_current = &lhs_base_ptr[k_block]; + const block_q2_Kx16* rhs_current = &rhs_base_ptr[k_block]; + + // 1. Load Global Min Scales (Keep as F16/LMUL=1 to save registers) + vfloat16m1_t v_g_min_f16 = __riscv_vle16_v_f16m1((const _Float16*)rhs_current->dmin, vl); + vfloat32m2_t v_g_min_base = __riscv_vfwcvt_f_f_v_f32m2(v_g_min_f16, vl); + + // 2. Initialize Integer Accumulators + vint32m2_t v_isum_0 = __riscv_vmv_v_x_i32m2(0, vl); + vint32m2_t v_isum_1 = __riscv_vmv_v_x_i32m2(0, vl); + vint32m2_t v_isum_2 = __riscv_vmv_v_x_i32m2(0, vl); + vint32m2_t v_isum_3 = __riscv_vmv_v_x_i32m2(0, vl); + + const uint8_t* rhs_qs_ptr = rhs_current->qs; + const uint8_t* rhs_sc_ptr = rhs_current->scales; + const int8_t* lhs_qs_ptr = lhs_current->qs; + + // --- Phase Loop (4 phases x 64 elements) --- +#pragma GCC unroll 1 + for (int phase = 0; phase < 4; ++phase) { + + // A. Load Scales/Mins for the 4 interleaved sub-blocks + vuint16m1_t v_d_sb_0, v_d_sb_1, v_d_sb_2, v_d_sb_3; + vuint16m1_t v_m_sb_0, v_m_sb_1, v_m_sb_2, v_m_sb_3; + + // Unrolled Load Logic + { + vuint8mf2_t v_raw; + // Sub-block 0 + v_raw = __riscv_vle8_v_u8mf2(rhs_sc_ptr + 0, vl); + v_d_sb_0 = __riscv_vzext_vf2_u16m1(__riscv_vand_vx_u8mf2(v_raw, 0xF, vl), vl); + v_m_sb_0 = __riscv_vzext_vf2_u16m1(__riscv_vsrl_vx_u8mf2(v_raw, 4, vl), vl); + + // Sub-block 1 + v_raw = __riscv_vle8_v_u8mf2(rhs_sc_ptr + 16, vl); + v_d_sb_1 = __riscv_vzext_vf2_u16m1(__riscv_vand_vx_u8mf2(v_raw, 0xF, vl), vl); + v_m_sb_1 = __riscv_vzext_vf2_u16m1(__riscv_vsrl_vx_u8mf2(v_raw, 4, vl), vl); + + // Sub-block 2 + v_raw = __riscv_vle8_v_u8mf2(rhs_sc_ptr + 32, vl); + v_d_sb_2 = __riscv_vzext_vf2_u16m1(__riscv_vand_vx_u8mf2(v_raw, 0xF, vl), vl); + v_m_sb_2 = __riscv_vzext_vf2_u16m1(__riscv_vsrl_vx_u8mf2(v_raw, 4, vl), vl); + + // Sub-block 3 + v_raw = __riscv_vle8_v_u8mf2(rhs_sc_ptr + 48, vl); + v_d_sb_3 = __riscv_vzext_vf2_u16m1(__riscv_vand_vx_u8mf2(v_raw, 0xF, vl), vl); + v_m_sb_3 = __riscv_vzext_vf2_u16m1(__riscv_vsrl_vx_u8mf2(v_raw, 4, vl), vl); + + rhs_sc_ptr += 64; + } + + int base_k_phase = (phase < 2) ? (phase * 16) : (128 + (phase-2)*16); + int k_offsets[4] = {0, 32, 64, 96}; + + // B. Inner Dot Product Loop +#pragma GCC unroll 1 + for (int l = 0; l < 16; ++l) { + vuint8mf2_t v_rhs_data = __riscv_vle8_v_u8mf2(rhs_qs_ptr, vl); + rhs_qs_ptr += 16; + + // Unroll over 4 sub-blocks (0, 1, 2, 3 relative to phase) + + // --- Sub-block 0 --- + { + vuint8mf2_t v_q2 = __riscv_vand_vx_u8mf2(v_rhs_data, 3, vl); + vint16m1_t v_w = __riscv_vmul_vv_i16m1( + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vzext_vf2_u16m1(v_q2, vl)), + __riscv_vreinterpret_v_u16m1_i16m1(v_d_sb_0), vl); + + const int8_t* q8 = &lhs_qs_ptr[(base_k_phase + k_offsets[0] + l) * 4]; + v_isum_0 = __riscv_vwmacc_vx_i32m2(v_isum_0, (int16_t)q8[0], v_w, vl); + v_isum_1 = __riscv_vwmacc_vx_i32m2(v_isum_1, (int16_t)q8[1], v_w, vl); + v_isum_2 = __riscv_vwmacc_vx_i32m2(v_isum_2, (int16_t)q8[2], v_w, vl); + v_isum_3 = __riscv_vwmacc_vx_i32m2(v_isum_3, (int16_t)q8[3], v_w, vl); + } + // --- Sub-block 1 --- + { + vuint8mf2_t v_q2 = __riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(v_rhs_data, 2, vl), 3, vl); + vint16m1_t v_w = __riscv_vmul_vv_i16m1( + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vzext_vf2_u16m1(v_q2, vl)), + __riscv_vreinterpret_v_u16m1_i16m1(v_d_sb_1), vl); + + const int8_t* q8 = &lhs_qs_ptr[(base_k_phase + k_offsets[1] + l) * 4]; + v_isum_0 = __riscv_vwmacc_vx_i32m2(v_isum_0, (int16_t)q8[0], v_w, vl); + v_isum_1 = __riscv_vwmacc_vx_i32m2(v_isum_1, (int16_t)q8[1], v_w, vl); + v_isum_2 = __riscv_vwmacc_vx_i32m2(v_isum_2, (int16_t)q8[2], v_w, vl); + v_isum_3 = __riscv_vwmacc_vx_i32m2(v_isum_3, (int16_t)q8[3], v_w, vl); + } + // --- Sub-block 2 --- + { + vuint8mf2_t v_q2 = __riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(v_rhs_data, 4, vl), 3, vl); + vint16m1_t v_w = __riscv_vmul_vv_i16m1( + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vzext_vf2_u16m1(v_q2, vl)), + __riscv_vreinterpret_v_u16m1_i16m1(v_d_sb_2), vl); + + const int8_t* q8 = &lhs_qs_ptr[(base_k_phase + k_offsets[2] + l) * 4]; + v_isum_0 = __riscv_vwmacc_vx_i32m2(v_isum_0, (int16_t)q8[0], v_w, vl); + v_isum_1 = __riscv_vwmacc_vx_i32m2(v_isum_1, (int16_t)q8[1], v_w, vl); + v_isum_2 = __riscv_vwmacc_vx_i32m2(v_isum_2, (int16_t)q8[2], v_w, vl); + v_isum_3 = __riscv_vwmacc_vx_i32m2(v_isum_3, (int16_t)q8[3], v_w, vl); + } + // --- Sub-block 3 --- + { + vuint8mf2_t v_q2 = __riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(v_rhs_data, 6, vl), 3, vl); + vint16m1_t v_w = __riscv_vmul_vv_i16m1( + __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vzext_vf2_u16m1(v_q2, vl)), + __riscv_vreinterpret_v_u16m1_i16m1(v_d_sb_3), vl); + + const int8_t* q8 = &lhs_qs_ptr[(base_k_phase + k_offsets[3] + l) * 4]; + v_isum_0 = __riscv_vwmacc_vx_i32m2(v_isum_0, (int16_t)q8[0], v_w, vl); + v_isum_1 = __riscv_vwmacc_vx_i32m2(v_isum_1, (int16_t)q8[1], v_w, vl); + v_isum_2 = __riscv_vwmacc_vx_i32m2(v_isum_2, (int16_t)q8[2], v_w, vl); + v_isum_3 = __riscv_vwmacc_vx_i32m2(v_isum_3, (int16_t)q8[3], v_w, vl); + } + } + + // C CORRECTION + int sb_base_abs = base_k_phase / 16; + + // --- Correction Sub-block 0 --- + { + int sb_abs = sb_base_abs + (k_offsets[0] / 16); + vint16m1_t v_min = __riscv_vreinterpret_v_u16m1_i16m1(v_m_sb_0); + + // Row 0 + vfloat32m2_t v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[0], vl); + vint32m2_t v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 0], vl); + vfloat32m2_t vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl); + v_sumf_0 = __riscv_vfsub_vv_f32m2(v_sumf_0, vf_c, vl); + + // Row 1 + v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[1], vl); + v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 1], vl); + vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl); + v_sumf_1 = __riscv_vfsub_vv_f32m2(v_sumf_1, vf_c, vl); + + // Row 2 + v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[2], vl); + v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 2], vl); + vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl); + v_sumf_2 = __riscv_vfsub_vv_f32m2(v_sumf_2, vf_c, vl); + + // Row 3 + v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[3], vl); + v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 3], vl); + vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl); + v_sumf_3 = __riscv_vfsub_vv_f32m2(v_sumf_3, vf_c, vl); + } + + // --- Correction Sub-block 1 --- + { + int sb_abs = sb_base_abs + (k_offsets[1] / 16); + vint16m1_t v_min = __riscv_vreinterpret_v_u16m1_i16m1(v_m_sb_1); + + vfloat32m2_t v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[0], vl); + vint32m2_t v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 0], vl); + vfloat32m2_t vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl); + v_sumf_0 = __riscv_vfsub_vv_f32m2(v_sumf_0, vf_c, vl); + + v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[1], vl); + v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 1], vl); + vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl); + v_sumf_1 = __riscv_vfsub_vv_f32m2(v_sumf_1, vf_c, vl); + + v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[2], vl); + v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 2], vl); + vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl); + v_sumf_2 = __riscv_vfsub_vv_f32m2(v_sumf_2, vf_c, vl); + + v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[3], vl); + v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 3], vl); + vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl); + v_sumf_3 = __riscv_vfsub_vv_f32m2(v_sumf_3, vf_c, vl); + } + + // --- Correction Sub-block 2 --- + { + int sb_abs = sb_base_abs + (k_offsets[2] / 16); + vint16m1_t v_min = __riscv_vreinterpret_v_u16m1_i16m1(v_m_sb_2); + + vfloat32m2_t v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[0], vl); + vint32m2_t v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 0], vl); + vfloat32m2_t vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl); + v_sumf_0 = __riscv_vfsub_vv_f32m2(v_sumf_0, vf_c, vl); + + v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[1], vl); + v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 1], vl); + vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl); + v_sumf_1 = __riscv_vfsub_vv_f32m2(v_sumf_1, vf_c, vl); + + v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[2], vl); + v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 2], vl); + vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl); + v_sumf_2 = __riscv_vfsub_vv_f32m2(v_sumf_2, vf_c, vl); + + v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[3], vl); + v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 3], vl); + vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl); + v_sumf_3 = __riscv_vfsub_vv_f32m2(v_sumf_3, vf_c, vl); + } + + // --- Correction Sub-block 3 --- + { + int sb_abs = sb_base_abs + (k_offsets[3] / 16); + vint16m1_t v_min = __riscv_vreinterpret_v_u16m1_i16m1(v_m_sb_3); + + vfloat32m2_t v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[0], vl); + vint32m2_t v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 0], vl); + vfloat32m2_t vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl); + v_sumf_0 = __riscv_vfsub_vv_f32m2(v_sumf_0, vf_c, vl); + + v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[1], vl); + v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 1], vl); + vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl); + v_sumf_1 = __riscv_vfsub_vv_f32m2(v_sumf_1, vf_c, vl); + + v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[2], vl); + v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 2], vl); + vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl); + v_sumf_2 = __riscv_vfsub_vv_f32m2(v_sumf_2, vf_c, vl); + + v_g_min = __riscv_vfmul_vf_f32m2(v_g_min_base, lhs_current->d[3], vl); + v_c = __riscv_vwmul_vx_i32m2(v_min, lhs_current->bsums[sb_abs * 4 + 3], vl); + vf_c = __riscv_vfmul_vv_f32m2(__riscv_vfcvt_f_x_v_f32m2(v_c, vl), v_g_min, vl); + v_sumf_3 = __riscv_vfsub_vv_f32m2(v_sumf_3, vf_c, vl); + } + + } // End Phase Loop + + // --- Apply Main Scales --- + vfloat16m1_t v_g_all_f16 = __riscv_vle16_v_f16m1((const _Float16*)rhs_current->d, vl); + vfloat32m2_t v_g_all_base = __riscv_vfwcvt_f_f_v_f32m2(v_g_all_f16, vl); + + { + vfloat32m2_t v_g_all = __riscv_vfmul_vf_f32m2(v_g_all_base, lhs_current->d[0], vl); + vfloat32m2_t v_sum = __riscv_vfcvt_f_x_v_f32m2(v_isum_0, vl); + v_sum = __riscv_vfmul_vv_f32m2(v_sum, v_g_all, vl); + v_sumf_0 = __riscv_vfadd_vv_f32m2(v_sumf_0, v_sum, vl); + } + // Row 1 + { + vfloat32m2_t v_g_all = __riscv_vfmul_vf_f32m2(v_g_all_base, lhs_current->d[1], vl); + vfloat32m2_t v_sum = __riscv_vfcvt_f_x_v_f32m2(v_isum_1, vl); + v_sum = __riscv_vfmul_vv_f32m2(v_sum, v_g_all, vl); + v_sumf_1 = __riscv_vfadd_vv_f32m2(v_sumf_1, v_sum, vl); + } + // Row 2 + { + vfloat32m2_t v_g_all = __riscv_vfmul_vf_f32m2(v_g_all_base, lhs_current->d[2], vl); + vfloat32m2_t v_sum = __riscv_vfcvt_f_x_v_f32m2(v_isum_2, vl); + v_sum = __riscv_vfmul_vv_f32m2(v_sum, v_g_all, vl); + v_sumf_2 = __riscv_vfadd_vv_f32m2(v_sumf_2, v_sum, vl); + } + // Row 3 + { + vfloat32m2_t v_g_all = __riscv_vfmul_vf_f32m2(v_g_all_base, lhs_current->d[3], vl); + vfloat32m2_t v_sum = __riscv_vfcvt_f_x_v_f32m2(v_isum_3, vl); + v_sum = __riscv_vfmul_vv_f32m2(v_sum, v_g_all, vl); + v_sumf_3 = __riscv_vfadd_vv_f32m2(v_sumf_3, v_sum, vl); + } + + } // End K-Block + + __riscv_vse32_v_f32m2(s + (row_tile + 0) * bs + col_tile, v_sumf_0, vl); + __riscv_vse32_v_f32m2(s + (row_tile + 1) * bs + col_tile, v_sumf_1, vl); + __riscv_vse32_v_f32m2(s + (row_tile + 2) * bs + col_tile, v_sumf_2, vl); + __riscv_vse32_v_f32m2(s + (row_tile + 3) * bs + col_tile, v_sumf_3, vl); + } + } +} +#endif diff --git a/ggml/src/ggml-cpu/arch/x86/repack.cpp b/ggml/src/ggml-cpu/arch/x86/repack.cpp index 33c6cb6509..af1cebad13 100644 --- a/ggml/src/ggml-cpu/arch/x86/repack.cpp +++ b/ggml/src/ggml-cpu/arch/x86/repack.cpp @@ -531,7 +531,6 @@ static void gemv_q4_b32_8x8_q8_0_lut_avx(int n, float * GGML_RESTRICT s, size_t UNUSED(bs); - __m128i changemask = _mm_set_epi8(15, 14, 7, 6, 13, 12, 5, 4, 11, 10, 3, 2, 9, 8, 1, 0); __m256i finalpermutemask = _mm256_set_epi32(7, 5, 3, 1, 6, 4, 2, 0); // Permute mask used for easier vector processing at later stages @@ -580,6 +579,7 @@ static void gemv_q4_b32_8x8_q8_0_lut_avx(int n, float * GGML_RESTRICT s, size_t if constexpr ( std::is_same_v || std::is_same_v) { + const __m128i changemask = _mm_set_epi8(15, 14, 7, 6, 13, 12, 5, 4, 11, 10, 3, 2, 9, 8, 1, 0); col_scale_f32 = GGML_F32Cx8_REARRANGE_LOAD(b_ptr[b].d, changemask); } else if constexpr (std::is_same_v) { // Load 8 E8M0 exponents and convert to float via LUT diff --git a/ggml/src/ggml-cpu/ggml-cpu.c b/ggml/src/ggml-cpu/ggml-cpu.c index 7c4026fac4..8b323bd9b0 100644 --- a/ggml/src/ggml-cpu/ggml-cpu.c +++ b/ggml/src/ggml-cpu/ggml-cpu.c @@ -270,6 +270,12 @@ static const struct ggml_type_traits_cpu type_traits_cpu[GGML_TYPE_COUNT] = { .vec_dot_type = GGML_TYPE_Q8_0, .nrows = 1, }, + [GGML_TYPE_NVFP4] = { + .from_float = quantize_row_nvfp4, + .vec_dot = ggml_vec_dot_nvfp4_q8_0, + .vec_dot_type = GGML_TYPE_Q8_0, + .nrows = 1, + }, [GGML_TYPE_Q2_K] = { .from_float = quantize_row_q2_K, .vec_dot = ggml_vec_dot_q2_K_q8_K, @@ -2021,6 +2027,10 @@ static void ggml_compute_forward(struct ggml_compute_params * params, struct ggm { ggml_compute_forward_solve_tri(params, tensor); } break; + case GGML_OP_GATED_DELTA_NET: + { + ggml_compute_forward_gated_delta_net(params, tensor); + } break; case GGML_OP_MAP_CUSTOM1: { ggml_compute_forward_map_custom1(params, tensor); @@ -2200,6 +2210,7 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads) { } break; case GGML_OP_COUNT_EQUAL: case GGML_OP_SOLVE_TRI: + case GGML_OP_GATED_DELTA_NET: { n_tasks = n_threads; } break; @@ -2905,6 +2916,11 @@ struct ggml_cplan ggml_graph_plan( { cur = ggml_type_size(node->type)*(n_tasks + node->src[0]->ne[0]*n_tasks); } break; + case GGML_OP_GATED_DELTA_NET: + { + const int64_t S_v = node->src[2]->ne[0]; + cur = S_v * sizeof(float) * n_tasks; + } break; case GGML_OP_COUNT: { GGML_ABORT("fatal error"); diff --git a/ggml/src/ggml-cpu/kleidiai/kernels.cpp b/ggml/src/ggml-cpu/kleidiai/kernels.cpp index 40f7c0df65..8c4d7bc925 100644 --- a/ggml/src/ggml-cpu/kleidiai/kernels.cpp +++ b/ggml/src/ggml-cpu/kleidiai/kernels.cpp @@ -520,7 +520,7 @@ static ggml_kleidiai_kernels gemm_gemv_kernels[] = { /* .packed_stride_ex = */ &rhs_stride_fn4, /* .pack_func_ex = */ &rhs_pack_fn12, }, - /* .required_cpu = */ CPU_FEATURE_DOTPROD | CPU_FEATURE_I8MM, + /* .required_cpu = */ CPU_FEATURE_I8MM, /* .lhs_type = */ GGML_TYPE_F32, /* .rhs_type = */ GGML_TYPE_Q4_0, /* .op_type = */ GGML_TYPE_F32, @@ -631,7 +631,7 @@ static ggml_kleidiai_kernels gemm_gemv_kernels[] = { /* .packed_stride_ex = */ &rhs_stride_fn4, /* .pack_func_ex = */ &rhs_pack_fn12, }, - /* .required_cpu = */ CPU_FEATURE_DOTPROD | CPU_FEATURE_I8MM, + /* .required_cpu = */ CPU_FEATURE_I8MM, /* .lhs_type = */ GGML_TYPE_F32, /* .rhs_type = */ GGML_TYPE_Q4_0, /* .op_type = */ GGML_TYPE_F32, @@ -801,7 +801,7 @@ static ggml_kleidiai_kernels gemm_gemv_kernels_q8[] = { /* .packed_stride_ex = */ &rhs_stride_fn4, /* .pack_func_ex = */ &rhs_pack_scale_fn12, }, - /* .required_cpu = */ CPU_FEATURE_DOTPROD | CPU_FEATURE_I8MM, + /* .required_cpu = */ CPU_FEATURE_I8MM, /* .lhs_type = */ GGML_TYPE_F32, /* .rhs_type = */ GGML_TYPE_Q8_0, /* .op_type = */ GGML_TYPE_F32, diff --git a/ggml/src/ggml-cpu/kleidiai/kleidiai.cpp b/ggml/src/ggml-cpu/kleidiai/kleidiai.cpp index ad23e73184..0ecf7ae02a 100644 --- a/ggml/src/ggml-cpu/kleidiai/kleidiai.cpp +++ b/ggml/src/ggml-cpu/kleidiai/kleidiai.cpp @@ -1,20 +1,31 @@ -// SPDX-FileCopyrightText: Copyright 2025 Arm Limited and/or its affiliates +// SPDX-FileCopyrightText: Copyright 2025-2026 Arm Limited and/or its affiliates // SPDX-License-Identifier: MIT // #include #include +#include #include #include -#include #include +#include #include #include #include #include #include +#include +#include +#include +#include +#include +#include +#include #if defined(__linux__) #include #include +#include +#include +#include #elif defined(__APPLE__) #include #include @@ -39,11 +50,18 @@ #define GGML_COMMON_DECL_CPP #include "ggml-common.h" +static constexpr int GGML_KLEIDIAI_MAX_KERNEL_SLOTS = 2; +static constexpr uint32_t GGML_KLEIDIAI_PACK_MAGIC = 0x4b4c4149; // "KLAI" +static constexpr uint16_t GGML_KLEIDIAI_PACK_VERSION = 1; +static constexpr size_t GGML_KLEIDIAI_PACK_ALIGN = 64; + struct ggml_kleidiai_context { cpu_feature features; ggml_kleidiai_kernels * kernels_q4; ggml_kleidiai_kernels * kernels_q8; -} static ctx = { CPU_FEATURE_NONE, NULL, NULL }; + int sme_thread_cap; // <= 0 means “SME disabled/unknown”; + int thread_hint; // <= 0 means “no hint” +} static ctx = { CPU_FEATURE_NONE, nullptr, nullptr, 0, -1 }; static const char* cpu_feature_to_string(cpu_feature f) { if (f == CPU_FEATURE_NONE) { @@ -63,41 +81,335 @@ static const char* cpu_feature_to_string(cpu_feature f) { } } -static void init_kleidiai_context(void) { +static size_t detect_num_smcus() { + if (!ggml_cpu_has_sme()) { + return 0; + } +#if defined(__linux__) && defined(__aarch64__) + // Linux/aarch64: Best-effort count of Streaming Mode Compute Units (SMCUs) via SMIDR_EL1 sysfs. + size_t num_private = 0; + std::set shared_ids; + + for (size_t cpu = 0;; ++cpu) { + const std::string path = + "/sys/devices/system/cpu/cpu" + std::to_string(cpu) + + "/regs/identification/smidr_el1"; + + std::ifstream file(path); + if (!file.is_open()) { + break; + } + + uint64_t smidr = 0; + if (!(file >> std::hex >> smidr)) { + continue; + } + + // Arm ARM: SMIDR_EL1 + const uint32_t sh = (uint32_t)((smidr >> 13) & 0x3); + // Build an "affinity-like" identifier for shared SMCUs. + // Keep the original packing logic, but isolate it here. + const uint32_t id = (uint32_t)((smidr & 0xFFFu) | ((smidr >> 20) & 0xFFFFF000u)); + + switch (sh) { + case 0b10: // private SMCU + ++num_private; + break; + case 0b11: // shared SMCU + shared_ids.emplace(id); + break; + case 0b00: + // Ambiguous / implementation-defined. Be conservative: + // treat id==0 as private, otherwise as shared. + if (id == 0) ++num_private; + else shared_ids.emplace(id); + break; + default: + break; + } + } + + return num_private + shared_ids.size(); + +#elif defined(__APPLE__) && defined(__aarch64__) + // table for known M4 variants. Users can override via GGML_KLEIDIAI_SME=. + char chip_name[256] = {}; + size_t size = sizeof(chip_name); + + if (sysctlbyname("machdep.cpu.brand_string", chip_name, &size, nullptr, 0) == 0) { + const std::string brand(chip_name); + + struct ModelSMCU { const char *match; size_t smcus; }; + static const ModelSMCU table[] = { + { "M4 Ultra", 2 }, + { "M4 Max", 2 }, + { "M4 Pro", 2 }, + { "M4", 1 }, + }; + + for (const auto &e : table) { + if (brand.find(e.match) != std::string::npos) { + return e.smcus; + } + } + } + return 1; + +#else + return 1; +#endif +} + +static int parse_uint_env(const char *s, const char *name, bool *ok) { + if (!s) { *ok = false; return 0; } + char *end = nullptr; + long v = strtol(s, &end, 10); + if (end == s || *end != '\0') { + GGML_LOG_WARN("kleidiai: invalid %s='%s' (expected integer)\n", name, s); + *ok = false; + return 0; + } + if (v < 0 || v > INT_MAX) { + GGML_LOG_WARN("kleidiai: out-of-range %s='%s'\n", name, s); + *ok = false; + return 0; + } + *ok = true; + return (int)v; +} + +static void init_kleidiai_context(void) { ggml_critical_section_start(); static bool initialized = false; if (!initialized) { initialized = true; - const char *env_var = getenv("GGML_KLEIDIAI_SME"); - int sme_enabled = 0; + + const char *env_sme = getenv("GGML_KLEIDIAI_SME"); + const char *env_threads = getenv("GGML_TOTAL_THREADS"); + + const bool cpu_has_sme = ggml_cpu_has_sme(); + size_t detected_smcus = 0; ctx.features = (ggml_cpu_has_dotprod() ? CPU_FEATURE_DOTPROD : CPU_FEATURE_NONE) | (ggml_cpu_has_matmul_int8() ? CPU_FEATURE_I8MM : CPU_FEATURE_NONE) | ((ggml_cpu_has_sve() && ggml_cpu_get_sve_cnt() == QK8_0) ? CPU_FEATURE_SVE : CPU_FEATURE_NONE); - if (env_var) { - sme_enabled = atoi(env_var); + if (env_threads) { + bool ok = false; + int hint = parse_uint_env(env_threads, "GGML_TOTAL_THREADS", &ok); + if (ok && hint > 0) { + ctx.thread_hint = hint; + } } - if (sme_enabled != 0) { - ctx.features |= ggml_cpu_has_sme() ? CPU_FEATURE_SME : CPU_FEATURE_NONE; + // SME policy: + // - If CPU doesn't support SME: SME always off. + // - Else: + // - env unset => auto-detect cores; enable if detected > 0. + // - env=0 => force off. + // - env>0 => force N cores (skip detection). + int sme_cores = 0; + bool sme_env_ok = false; + bool sme_env_set = (env_sme != nullptr); + + if (!cpu_has_sme) { + if (sme_env_set) { + bool ok = false; + int req = parse_uint_env(env_sme, "GGML_KLEIDIAI_SME", &ok); + if (ok && req > 0) { + GGML_LOG_WARN("kleidiai: GGML_KLEIDIAI_SME=%d but SME is not supported on this CPU; disabling SME\n", req); + } + } + sme_cores = 0; + } else { + if (sme_env_set) { + bool ok = false; + int v = parse_uint_env(env_sme, "GGML_KLEIDIAI_SME", &ok); + sme_env_ok = ok; + + if (!ok) { + GGML_LOG_WARN("kleidiai: GGML_KLEIDIAI_SME set but parsing failed; falling back to runtime SME-core detection\n"); + detected_smcus = detect_num_smcus(); + sme_cores = detected_smcus > 0 ? (int)detected_smcus : 0; + } else if (v == 0) { + sme_cores = 0; + } else { + sme_cores = v; + } + } else { + detected_smcus = detect_num_smcus(); + sme_cores = detected_smcus > 0 ? (int)detected_smcus : 0; + } + + if (!sme_env_set && sme_cores == 0) { + GGML_LOG_WARN("kleidiai: SME supported but runtime SME-core detection returned 0; falling back to NEON\n"); + } + + if (sme_cores > 0) { + ctx.features |= CPU_FEATURE_SME; + } } + + // Kernel selection ctx.kernels_q4 = ggml_kleidiai_select_kernels_q4_0(ctx.features); ctx.kernels_q8 = ggml_kleidiai_select_kernels_q8_0(ctx.features); -#ifndef NDEBUG - if (ctx.kernels_q4) { - GGML_LOG_DEBUG("kleidiai: using q4 kernel with CPU feature %s\n", cpu_feature_to_string(ctx.kernels_q4->required_cpu)); + + if (!ctx.kernels_q4) { + GGML_LOG_INFO("kleidiai: no compatible q4 kernels found for CPU features mask %d\n", (int)ctx.features); + } else { + GGML_LOG_INFO("kleidiai: primary q4 kernel feature %s\n", cpu_feature_to_string(ctx.kernels_q4->required_cpu)); } - if (ctx.kernels_q8) { - GGML_LOG_DEBUG("kleidiai: using q8 kernel with CPU feature %s\n", cpu_feature_to_string(ctx.kernels_q8->required_cpu)); + + if (!ctx.kernels_q8) { + GGML_LOG_INFO("kleidiai: no compatible q8 kernels found for CPU features mask %d\n", (int)ctx.features); + } else { + GGML_LOG_INFO("kleidiai: primary q8 kernel feature %s\n", cpu_feature_to_string(ctx.kernels_q8->required_cpu)); + } + + ctx.sme_thread_cap = (ctx.features & CPU_FEATURE_SME) ? sme_cores : 0; + + if (ctx.features & CPU_FEATURE_SME) { + if (sme_env_set && sme_env_ok && sme_cores > 0) { + GGML_LOG_INFO("kleidiai: SME enabled (GGML_KLEIDIAI_SME=%d override)\n", sme_cores); + } else { + GGML_LOG_INFO("kleidiai: SME enabled (runtime-detected SME cores=%d)\n", sme_cores); + } + } else { + GGML_LOG_INFO("kleidiai: SME disabled\n"); } -#endif } + ggml_critical_section_end(); } +static inline int kleidiai_sme_thread_cap() { + return ctx.sme_thread_cap; +} + +static inline size_t align_up(size_t value, size_t alignment) { + if (alignment == 0) { + return value; + } + const size_t remainder = value % alignment; + return remainder == 0 ? value : value + (alignment - remainder); +} + +static inline bool kleidiai_pack_fallback_allowed() { + if (ctx.sme_thread_cap <= 0) { + return false; + } + if (ctx.thread_hint <= 0) { + return true; + } + return ctx.thread_hint > ctx.sme_thread_cap; +} + +struct kleidiai_weight_header { + uint32_t magic; + uint16_t version; + uint16_t slot_count; + uint64_t offsets[GGML_KLEIDIAI_MAX_KERNEL_SLOTS]; + uint64_t sizes[GGML_KLEIDIAI_MAX_KERNEL_SLOTS]; +}; + +static inline kleidiai_weight_header * kleidiai_weight_header_from_ptr(void * data) { + return reinterpret_cast(data); +} + +static inline const kleidiai_weight_header * kleidiai_weight_header_from_ptr(const void * data) { + return reinterpret_cast(data); +} + +static inline bool kleidiai_is_weight_header_valid(const kleidiai_weight_header * header) { + if (!header) { + return false; + } + if (header->magic != GGML_KLEIDIAI_PACK_MAGIC || header->version != GGML_KLEIDIAI_PACK_VERSION) { + return false; + } + if (header->slot_count == 0 || header->slot_count > GGML_KLEIDIAI_MAX_KERNEL_SLOTS) { + return false; + } + return true; +} + +static inline uint8_t * kleidiai_weight_slot_ptr(kleidiai_weight_header * header, int slot) { + if (!kleidiai_is_weight_header_valid(header)) { + return nullptr; + } + if (slot < 0 || slot >= header->slot_count) { + return nullptr; + } + return reinterpret_cast(header) + header->offsets[slot]; +} + +static inline const uint8_t * kleidiai_weight_slot_ptr(const kleidiai_weight_header * header, int slot) { + if (!kleidiai_is_weight_header_valid(header)) { + return nullptr; + } + if (slot < 0 || slot >= header->slot_count) { + return nullptr; + } + return reinterpret_cast(header) + header->offsets[slot]; +} + +static inline ggml_kleidiai_kernels * kleidiai_primary_kernel_q4() { + return ctx.kernels_q4; +} + +static inline ggml_kleidiai_kernels * kleidiai_primary_kernel_q8() { + return ctx.kernels_q8; +} + +template +static int kleidiai_collect_kernel_chain_common( + ggml_kleidiai_kernels * primary, + cpu_feature features, + std::array & out, + SelectFallback select_fallback) { + int count = 0; + if (!primary) { + return 0; + } + out[count++] = primary; + + if ((primary->required_cpu & CPU_FEATURE_SME) == CPU_FEATURE_SME) { + const cpu_feature fallback_mask = static_cast(features & ~CPU_FEATURE_SME); + if (fallback_mask != CPU_FEATURE_NONE) { + ggml_kleidiai_kernels * fallback = select_fallback(fallback_mask); + if (fallback && fallback != primary && + fallback->lhs_type == primary->lhs_type && + fallback->rhs_type == primary->rhs_type && + fallback->op_type == primary->op_type) { + out[count++] = fallback; + } + } + } + + return count; +} + +static int kleidiai_collect_kernel_chain(const struct ggml_tensor * op, + std::array & out) { + ggml_kleidiai_kernels * primary = ggml_kleidiai_select_kernels(ctx.features, op); + return kleidiai_collect_kernel_chain_common(primary, ctx.features, out, + [&](cpu_feature mask) { return ggml_kleidiai_select_kernels(mask, op); }); +} + +static int kleidiai_collect_q4_chain(std::array & out) { + ggml_kleidiai_kernels * primary = kleidiai_primary_kernel_q4(); + return kleidiai_collect_kernel_chain_common(primary, ctx.features, out, + [&](cpu_feature mask) { return ggml_kleidiai_select_kernels_q4_0(mask); }); +} + +static int kleidiai_collect_q8_chain(std::array & out) { + ggml_kleidiai_kernels * primary = kleidiai_primary_kernel_q8(); + return kleidiai_collect_kernel_chain_common(primary, ctx.features, out, + [&](cpu_feature mask) { return ggml_kleidiai_select_kernels_q8_0(mask); }); +} + static inline int64_t ggml_ne(const ggml_tensor * tensor, int dim) { GGML_ASSERT(dim >= 0 && dim < GGML_MAX_DIMS); return tensor->ne[dim]; @@ -126,49 +438,108 @@ class tensor_traits : public ggml::cpu::tensor_traits { if (op->op != GGML_OP_MUL_MAT) { return false; } - ggml_kleidiai_kernels *kernels = ggml_kleidiai_select_kernels(ctx.features, op); - if (!kernels) { + + std::array kernel_chain; + const int slot_count = kleidiai_collect_kernel_chain(op, kernel_chain); + if (slot_count == 0) { return false; } - bool is_gemv = op->src[1]->ne[1] == 1; - kernel_info * kernel = is_gemv ? &kernels->gemv : &kernels->gemm; - lhs_packing_info * lhs_info = is_gemv ? &kernels->gemv_lhs_info : &kernels->gemm_lhs_info; - size_t k = op->src[0]->ne[0]; - size_t n = op->src[0]->ne[1]; - size_t m = op->src[1]->ne[1]; + const bool is_gemv = op->src[1]->ne[1] == 1; + const size_t k = op->src[0]->ne[0]; + const size_t n = op->src[0]->ne[1]; + const size_t m = op->src[1]->ne[1]; - size_t mr = kernel->get_mr(); - size_t kr = kernel->get_kr(); - size_t sr = kernel->get_sr(); + if (op->src[0]->type == GGML_TYPE_Q4_0 || op->src[0]->type == GGML_TYPE_Q8_0) { + const size_t qk = (op->src[0]->type == GGML_TYPE_Q4_0) ? QK4_0 : QK8_0; - if (kernels->rhs_type == GGML_TYPE_Q4_0) { - if (!lhs_info->packed_size_ex) return false; - size = lhs_info->packed_size_ex(m, k, QK4_0, mr, kr, sr); - } else if (kernels->rhs_type == GGML_TYPE_Q8_0) { - if (!lhs_info->packed_size_ex) return false; - size = lhs_info->packed_size_ex(m, k, QK8_0, mr, kr, sr); - } else if (kernels->rhs_type == GGML_TYPE_F16) { - if (!lhs_info->packed_size_ex || !kernels->rhs_info.packed_size_ex) return false; + size_t cursor = 0; + bool any_slot = false; + + for (int slot = 0; slot < slot_count; ++slot) { + ggml_kleidiai_kernels * kernels = kernel_chain[slot]; + lhs_packing_info * lhs_info = is_gemv ? &kernels->gemv_lhs_info : &kernels->gemm_lhs_info; + kernel_info * kernel = is_gemv ? &kernels->gemv : &kernels->gemm; + + if (!lhs_info || !lhs_info->packed_size_ex || !kernel) { + return false; + } + + const size_t mr = kernel->get_mr(); + const size_t kr = kernel->get_kr(); + const size_t sr = kernel->get_sr(); + + const size_t packed = lhs_info->packed_size_ex(m, k, qk, mr, kr, sr); + + cursor = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN); + cursor += packed; + any_slot = true; + } + + if (!any_slot) { + return false; + } + + size = cursor; + return true; + } + + if (op->src[0]->type == GGML_TYPE_F16) { const int64_t lhs_batch_size0 = op->src[1]->ne[2]; const int64_t rhs_batch_size0 = op->src[0]->ne[2]; + GGML_ASSERT(rhs_batch_size0 > 0); const int64_t r = lhs_batch_size0 / rhs_batch_size0; - size = lhs_info->packed_size_ex(m * r, k, 0, mr, kr, sr) + - kernels->rhs_info.packed_size_ex(n, k, kernel->get_nr(), kernel->get_kr(), 0) + - k * n * sizeof(float) + n * sizeof(float); - } else { - return false; + + size_t cursor = 0; + bool any_slot = false; + + for (int slot = 0; slot < slot_count; ++slot) { + ggml_kleidiai_kernels * kernels = kernel_chain[slot]; + lhs_packing_info * lhs_info = is_gemv ? &kernels->gemv_lhs_info : &kernels->gemm_lhs_info; + kernel_info * kernel = is_gemv ? &kernels->gemv : &kernels->gemm; + if (!lhs_info || !lhs_info->packed_size_ex || !kernels->rhs_info.packed_size_ex || !kernel) { + return false; + } + + const size_t mr = kernel->get_mr(); + const size_t kr = kernel->get_kr(); + const size_t sr = kernel->get_sr(); + + cursor = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN); + cursor += lhs_info->packed_size_ex(m * r, k, 0, mr, kr, sr); + any_slot = true; + } + + for (int slot = 0; slot < slot_count; ++slot) { + ggml_kleidiai_kernels * kernels = kernel_chain[slot]; + kernel_info * kernel = is_gemv ? &kernels->gemv : &kernels->gemm; + if (!kernel || !kernels->rhs_info.packed_size_ex) { + return false; + } + cursor = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN); + cursor += kernels->rhs_info.packed_size_ex(n, k, kernel->get_nr(), kernel->get_kr(), 0); + } + + cursor = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN); + cursor += k * n * sizeof(float); + cursor = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN); + cursor += n * sizeof(float); + + if (!any_slot) { + return false; + } + + size = cursor; + return true; } - return true; + return false; } bool compute_forward(struct ggml_compute_params * params, struct ggml_tensor * dst) override { if (dst->op == GGML_OP_MUL_MAT) { - if (dst->src[0]->type == GGML_TYPE_Q4_0) { - return compute_forward_q4_0(params, dst); - } else if (dst->src[0]->type == GGML_TYPE_Q8_0) { - return compute_forward_q8_0(params, dst); + if (dst->src[0]->type == GGML_TYPE_Q4_0 || dst->src[0]->type == GGML_TYPE_Q8_0) { + return compute_forward_qx(params, dst); } else if (dst->src[0]->type == GGML_TYPE_F16) { return compute_forward_fp16(params, dst); } @@ -331,204 +702,457 @@ class tensor_traits : public ggml::cpu::tensor_traits { return true; } - bool compute_forward_q4_0(struct ggml_compute_params * params, struct ggml_tensor * dst) { - GGML_ASSERT(dst->src[0]->type == GGML_TYPE_Q4_0); + bool compute_forward_qx(struct ggml_compute_params * params, struct ggml_tensor * dst) { + GGML_ASSERT(dst->src[0]->type == GGML_TYPE_Q4_0 || dst->src[0]->type == GGML_TYPE_Q8_0); const ggml_tensor * src0 = dst->src[0]; const ggml_tensor * src1 = dst->src[1]; GGML_TENSOR_BINARY_OP_LOCALS - ggml_kleidiai_kernels *kernels = ggml_kleidiai_select_kernels(ctx.features, dst); - if (!kernels) { - return false; + const kleidiai_weight_header * header = kleidiai_weight_header_from_ptr(src0->data); + const bool has_header = kleidiai_is_weight_header_valid(header); + const bool is_gemv = src1->ne[1] == 1; + std::array kernel_chain; + const int slot_total = kleidiai_collect_kernel_chain(dst, kernel_chain); + + auto weight_for_slot = [&](int slot_index, size_t & size_out) -> const uint8_t * { + if (slot_index < 0 || slot_index >= slot_total) { + return nullptr; + } + if (has_header) { + if (slot_index < header->slot_count) { + size_out = static_cast(header->sizes[slot_index]); + return kleidiai_weight_slot_ptr(header, slot_index); + } + return nullptr; + } + if (slot_index == 0) { + size_out = ggml_nbytes(src0); + return static_cast(src0->data); + } + return nullptr; + }; + + struct runtime_slot { + int slot_index; + ggml_kleidiai_kernels * kernels; + kernel_info * kernel; + lhs_packing_info * lhs_info; + size_t mr; + size_t nr; + size_t kr; + size_t sr; + size_t n_step; + size_t lhs_packed_size; + size_t lhs_offset; + size_t n_offset; + size_t n_cols; + int assigned_threads; + int thread_begin; + int thread_end; + const uint8_t * rhs_base; + }; + + std::array runtime{}; + int runtime_count = 0; + + for (int slot = 0; slot < slot_total && runtime_count < GGML_KLEIDIAI_MAX_KERNEL_SLOTS; ++slot) { + ggml_kleidiai_kernels * kernels = kernel_chain[slot]; + kernel_info * kinfo = is_gemv ? &kernels->gemv : &kernels->gemm; + lhs_packing_info * linfo = is_gemv ? &kernels->gemv_lhs_info : &kernels->gemm_lhs_info; + if (!kinfo || !linfo || !linfo->packed_size_ex || !linfo->pack_func_ex || !linfo->get_offset || + !kinfo->get_rhs_packed_offset_ex || !kinfo->run_kernel_ex || !kinfo->get_dst_offset) { + continue; + } + + size_t rhs_size = 0; + const uint8_t * rhs_ptr = weight_for_slot(slot, rhs_size); + if (!rhs_ptr || rhs_size == 0) { + continue; + } + + runtime[runtime_count] = { + slot, + kernels, + kinfo, + linfo, + kinfo->get_mr(), + kinfo->get_nr(), + kinfo->get_kr(), + kinfo->get_sr(), + kinfo->get_n_step(), + 0, + 0, + 0, + 0, + 0, + 0, + 0, + rhs_ptr + }; + ++runtime_count; } - bool is_gemv = src1->ne[1] == 1; - kernel_info * kernel = is_gemv ? &kernels->gemv : &kernels->gemm; - lhs_packing_info * lhs_info = is_gemv ? &kernels->gemv_lhs_info : &kernels->gemm_lhs_info; - - GGML_ASSERT(kernel); - if (!lhs_info->get_packed_offset_ex || !lhs_info->pack_func_ex || - !kernel->get_rhs_packed_offset_ex || !kernel->run_kernel_ex || !kernel->get_dst_offset) { - return false; + if (runtime_count == 0) { + ggml_kleidiai_kernels * fallback = ggml_kleidiai_select_kernels(ctx.features, dst); + if (!fallback) { + return false; + } + kernel_info * kinfo = is_gemv ? &fallback->gemv : &fallback->gemm; + lhs_packing_info * linfo = is_gemv ? &fallback->gemv_lhs_info : &fallback->gemm_lhs_info; + rhs_packing_info * rinfo = &fallback->rhs_info; + if (!kinfo || !linfo || !linfo->packed_size_ex || !linfo->pack_func_ex || + !kinfo->get_rhs_packed_offset_ex || !kinfo->run_kernel_ex || !kinfo->get_dst_offset || + !rinfo || !rinfo->pack_func_ex || !rinfo->packed_size_ex) { + return false; + } + kernel_chain[0] = fallback; + runtime[0] = { + 0, + fallback, + kinfo, + linfo, + kinfo->get_mr(), + kinfo->get_nr(), + kinfo->get_kr(), + kinfo->get_sr(), + kinfo->get_n_step(), + 0, + 0, + 0, + 0, + 0, + 0, + 0, + nullptr + }; + size_t rhs_size_fallback = 0; + const uint8_t * rhs_base = weight_for_slot(0, rhs_size_fallback); + if (!rhs_base) { + rhs_base = static_cast(src0->data); + } + runtime[0].rhs_base = rhs_base; + runtime_count = 1; } - const int ith = params->ith; - const int nth_raw = params->nth; - const int nth = nth_raw > 0 ? nth_raw : 1; + const int nth_total = params->nth > 0 ? params->nth : 1; + const int ith_total = params->ith; + + int sme_slot = -1; + for (int i = 0; i < runtime_count; ++i) { + if ((runtime[i].kernels->required_cpu & CPU_FEATURE_SME) == CPU_FEATURE_SME) { + sme_slot = i; + break; + } + } + + const int sme_cap_limit = ctx.sme_thread_cap; + const bool use_hybrid = sme_cap_limit > 0 && + runtime_count > 1 && + nth_total > sme_cap_limit; + // Heuristic: disable hybrid for very small workloads where per-slot overhead dominates. + // If rows are small or average columns per thread are small, keep single-slot. + size_t min_cols_per_thread = 0; + if (runtime_count > 0 && nth_total > 0) { + min_cols_per_thread = (size_t) std::max(1, (int64_t)ne01 / (int64_t)nth_total); + } + const bool too_small_for_hybrid = (min_cols_per_thread < 2) || (ne11 < 128); + + const bool hybrid_enabled = use_hybrid && !too_small_for_hybrid; + + if (!hybrid_enabled) { + int chosen_slot = 0; + if (too_small_for_hybrid && sme_slot != -1) { + chosen_slot = sme_slot; + } else if (runtime_count > 1 && ctx.sme_thread_cap > 0 && nth_total > ctx.sme_thread_cap) { + chosen_slot = 1; + } + if (chosen_slot != 0 && chosen_slot < runtime_count) { + runtime[0] = runtime[chosen_slot]; + } + runtime_count = runtime_count > 0 ? 1 : 0; + + // Recompute SME slot based on the collapsed runtime[0] + sme_slot = -1; + if (runtime_count > 0 && + (runtime[0].kernels->required_cpu & CPU_FEATURE_SME) == CPU_FEATURE_SME) { + sme_slot = 0; + } + } + + int sme_cap = kleidiai_sme_thread_cap(); + if (sme_cap < 0) { + sme_cap = nth_total; + } + sme_cap = std::min(sme_cap, nth_total); + + int threads_remaining = nth_total; + if (sme_slot != -1) { + int sme_threads = std::min(std::max(sme_cap, 0), threads_remaining); + runtime[sme_slot].assigned_threads = sme_threads; + threads_remaining -= sme_threads; + } + + int fallback_indices[GGML_KLEIDIAI_MAX_KERNEL_SLOTS]; + int fallback_count = 0; + for (int i = 0; i < runtime_count; ++i) { + if (i == sme_slot) { + continue; + } + fallback_indices[fallback_count++] = i; + } + + for (int fi = 0; fi < fallback_count; ++fi) { + if (threads_remaining <= 0) { + break; + } + const int slot_index = fallback_indices[fi]; + const int slots_left = fallback_count - fi; + int share = (threads_remaining + slots_left - 1) / slots_left; + share = std::min(share, threads_remaining); + runtime[slot_index].assigned_threads = share; + threads_remaining -= share; + } + + if (threads_remaining > 0) { + const int fallback_slot = (sme_slot != -1) ? sme_slot : 0; + runtime[fallback_slot].assigned_threads += threads_remaining; + threads_remaining = 0; + } + + int thread_cursor = 0; + for (int i = 0; i < runtime_count; ++i) { + runtime[i].thread_begin = thread_cursor; + thread_cursor += runtime[i].assigned_threads; + runtime[i].thread_end = thread_cursor; + } + + if (thread_cursor < nth_total && runtime_count > 0) { + runtime[runtime_count - 1].assigned_threads += nth_total - thread_cursor; + runtime[runtime_count - 1].thread_end = nth_total; + } + + int local_slot = -1; + int local_ith = 0; + for (int i = 0; i < runtime_count; ++i) { + if (ith_total >= runtime[i].thread_begin && ith_total < runtime[i].thread_end) { + local_slot = i; + local_ith = ith_total - runtime[i].thread_begin; + break; + } + } + if (local_slot == -1) { + return false; + } const size_t k = ne00; const size_t m = ne11; const size_t n = ne01; - size_t mr = kernel->get_mr(); - size_t kr = kernel->get_kr(); - size_t sr = kernel->get_sr(); + size_t cursor = 0; + for (int i = 0; i < runtime_count; ++i) { + const ggml_type slot_rhs_type = runtime[i].kernels->rhs_type; + const size_t slot_pack_size_arg = slot_rhs_type == GGML_TYPE_Q4_0 ? QK4_0 : + slot_rhs_type == GGML_TYPE_Q8_0 ? QK8_0 : 0; + runtime[i].lhs_packed_size = runtime[i].lhs_info->packed_size_ex(m, k, slot_pack_size_arg, runtime[i].mr, runtime[i].kr, runtime[i].sr); + cursor = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN); + runtime[i].lhs_offset = cursor; + cursor += runtime[i].lhs_packed_size; + } - const uint8_t * lhs = static_cast(src1->data); - uint8_t * lhs_packed = (uint8_t*)params->wdata; - const uint8_t * rhs_packed = static_cast(src0->data); + GGML_ASSERT(cursor <= params->wsize); + uint8_t * scratch = static_cast(params->wdata); - const size_t n_step = kernel->get_n_step(); - const size_t num_n_per_thread = kai_roundup(kai_roundup(n, nth) / nth, n_step); - const size_t n_start = ith * num_n_per_thread; - - size_t n_to_process = 0; - if (n_start < n) { - n_to_process = num_n_per_thread; - if ((n_start + n_to_process) > n) { - n_to_process = n - n_start; + size_t assigned_cols = 0; + uint64_t weighted_total = 0; + if (runtime_count > 1 && sme_slot != -1) { + for (int i = 0; i < runtime_count; ++i) { + const uint64_t weight = (i == sme_slot) ? (sme_cap << 1) : 1; + weighted_total += (uint64_t)runtime[i].assigned_threads * weight; } } - - // Calculate number of columns to be processed per thread - const size_t num_m_per_thread = kai_roundup(m, mr * nth) / nth; - const size_t m_start = ith * num_m_per_thread; - size_t m_to_process = num_m_per_thread; - if ((m_start + m_to_process) > m) { - m_to_process = m - m_start; + for (int i = 0; i < runtime_count; ++i) { + runtime[i].n_offset = assigned_cols; + if (runtime[i].assigned_threads == 0) { + runtime[i].n_cols = 0; + continue; + } + const size_t remaining_cols = n - assigned_cols; + if (remaining_cols == 0) { + runtime[i].n_cols = 0; + continue; + } + const size_t step = runtime[i].n_step ? runtime[i].n_step : 1; + size_t target = 0; + if (weighted_total > 0) { + const uint64_t weight = (i == sme_slot) ? (sme_cap << 1) : 1; + target = (size_t)(((uint64_t)n * runtime[i].assigned_threads * weight) / weighted_total); + } else { + target = (size_t)(((uint64_t)n * runtime[i].assigned_threads) / nth_total); + } + target = std::min(target, remaining_cols); + size_t aligned = round_down(target, step); + if (aligned == 0 && remaining_cols >= step) { + aligned = step; + } + runtime[i].n_cols = aligned; + assigned_cols += aligned; } - if (m_start < m) { - // Transform LHS - const size_t src_stride = src1->nb[1]; - const float * src_ptr = reinterpret_cast(lhs + lhs_info->get_offset(m_start, dst->src[1]->nb[1])); - const size_t lhs_packed_offset = lhs_info->get_packed_offset_ex(m_start, k, QK4_0, mr, kr, sr); - void * lhs_packed_ptr = static_cast(lhs_packed + lhs_packed_offset); - - // Pack this thread's chunk with m_idx_start = 0 and per-thread output pointer - lhs_info->pack_func_ex(m_to_process, k, QK4_0, mr, kr, sr, 0, src_ptr, src_stride, lhs_packed_ptr); - } - - ggml_barrier(params->threadpool); - - // Perform the operation - const size_t dst_stride = dst->nb[1]; - const size_t lhs_packed_offset = lhs_info->get_packed_offset_ex(0, k, QK4_0, mr, kr, sr); - const size_t rhs_packed_offset = kernel->get_rhs_packed_offset_ex(n_start, k, QK4_0); - const size_t dst_offset = kernel->get_dst_offset(0, n_start, dst_stride); - const void * rhs_ptr = static_cast(rhs_packed + rhs_packed_offset); - const void* lhs_ptr = (const void*)((const char *)lhs_packed + lhs_packed_offset); - float *dst_ptr = reinterpret_cast(static_cast(dst->data) + dst_offset); - - if (n_to_process > 0) { - kernel->run_kernel_ex(m, n_to_process, k, QK4_0, lhs_ptr, rhs_ptr, dst_ptr, dst_stride, - sizeof(float), -FLT_MAX, FLT_MAX); - } - - return true; - } - - bool compute_forward_q8_0(struct ggml_compute_params * params, struct ggml_tensor * dst) { - GGML_ASSERT(dst->src[0]->type == GGML_TYPE_Q8_0); - - const ggml_tensor * src0 = dst->src[0]; - const ggml_tensor * src1 = dst->src[1]; - - GGML_TENSOR_BINARY_OP_LOCALS - - ggml_kleidiai_kernels *kernels = ggml_kleidiai_select_kernels(ctx.features, dst); - if (!kernels) { - return false; - } - - bool is_gemv = src1->ne[1] == 1; - kernel_info * kernel = is_gemv ? &kernels->gemv : &kernels->gemm; - lhs_packing_info * lhs_info = is_gemv ? &kernels->gemv_lhs_info : &kernels->gemm_lhs_info; - - if (!kernel || !lhs_info->get_packed_offset_ex || !lhs_info->pack_func_ex || - !kernel->get_rhs_packed_offset_ex || !kernel->run_kernel_ex || !kernel->get_dst_offset) { - return false; - } - - const int ith = params->ith; - const int nth_raw = params->nth; - const int nth = nth_raw > 0 ? nth_raw : 1; - - const size_t k = ne00; - const size_t m = ne11; - const size_t n = ne01; - - size_t mr = kernel->get_mr(); - size_t kr = kernel->get_kr(); - size_t sr = kernel->get_sr(); - - const uint8_t * lhs = static_cast(src1->data); - uint8_t * lhs_packed = static_cast(params->wdata); - const uint8_t * rhs_packed = static_cast(src0->data); - - const size_t n_step = kernel->get_n_step(); - const size_t num_n_per_thread = kai_roundup(kai_roundup(n, nth) / nth, n_step); - const size_t n_start = ith * num_n_per_thread; - - size_t n_to_process = 0; - if (n_start < n) { - n_to_process = num_n_per_thread; - if ((n_start + n_to_process) > n) { - n_to_process = n - n_start; + if (assigned_cols < n) { + for (int i = runtime_count - 1; i >= 0; --i) { + if (runtime[i].assigned_threads > 0) { + runtime[i].n_cols += n - assigned_cols; + break; + } } } + const size_t dst_stride = dst->nb[1]; - const size_t num_m_per_thread = kai_roundup(m, mr * nth) / nth; - const size_t m_start = ith * num_m_per_thread; - size_t m_to_process = num_m_per_thread; - if ((m_start + m_to_process) > m) { - m_to_process = m - m_start; - } + for (int64_t batch_idx = 0; batch_idx < ne12; ++batch_idx) { + const uint8_t * lhs_batch_base = static_cast(src1->data) + batch_idx * src1->nb[2]; + uint8_t * dst_batch_base = static_cast(dst->data) + batch_idx * dst->nb[2]; - if (m_start < m) { - const size_t src_stride = src1->nb[1]; - const float * src_ptr = reinterpret_cast(lhs + lhs_info->get_offset(m_start, dst->src[1]->nb[1])); - const size_t lhs_packed_offset = lhs_info->get_packed_offset_ex(m_start, k, 0, mr, kr, sr); - void * lhs_packed_ptr = static_cast(lhs_packed + lhs_packed_offset); + if (runtime[local_slot].assigned_threads > 0) { + runtime_slot & slot = runtime[local_slot]; + const ggml_type slot_rhs_type = slot.kernels->rhs_type; + const size_t slot_lhs_exec_arg = slot_rhs_type == GGML_TYPE_Q4_0 ? QK4_0 : + slot_rhs_type == GGML_TYPE_Q8_0 ? 0 : 0; + const int64_t m_roundup_mr = kai_roundup((int64_t)m, (int64_t)slot.mr); + int64_t max_threads = slot.mr ? (m_roundup_mr / (int64_t)slot.mr) : slot.assigned_threads; + max_threads = std::max(1, max_threads); + const int64_t use_threads = std::min(slot.assigned_threads, max_threads); - lhs_info->pack_func_ex(m_to_process, k, 0, mr, kr, sr, 0, src_ptr, src_stride, lhs_packed_ptr); - } + if (local_ith < use_threads) { + const int64_t num_m_per_thread0 = round_down((size_t)(m_roundup_mr / use_threads), slot.mr); + const int64_t num_m_per_threadN_1 = (int64_t)m - (use_threads - 1) * num_m_per_thread0; - ggml_barrier(params->threadpool); + const int64_t m_start = (int64_t)local_ith * num_m_per_thread0; + const int64_t m_count = (local_ith == use_threads - 1) ? num_m_per_threadN_1 : num_m_per_thread0; - const size_t dst_stride = dst->nb[1]; - const size_t lhs_packed_offset = lhs_info->get_packed_offset_ex(0, k, 0, mr, kr, sr); - const size_t rhs_packed_offset = kernel->get_rhs_packed_offset_ex(n_start, k, 0); - const size_t dst_offset = kernel->get_dst_offset(0, n_start, dst_stride); - const void * rhs_ptr = static_cast(rhs_packed + rhs_packed_offset); - const void * lhs_ptr = static_cast(lhs_packed + lhs_packed_offset); - float * dst_ptr = reinterpret_cast(static_cast(dst->data) + dst_offset); + const size_t base_packed_off = slot.lhs_info->get_packed_offset_ex(m_start, k, slot_lhs_exec_arg, slot.mr, slot.kr, slot.sr); + const size_t next_block_off = slot.lhs_info->get_packed_offset_ex(m_start + slot.mr, k, slot_lhs_exec_arg, slot.mr, slot.kr, slot.sr); + const size_t row_stride_bytes = slot.mr ? (next_block_off - base_packed_off) / slot.mr : 0; - if (n_to_process > 0) { - kernel->run_kernel_ex(m, n_to_process, k, 0, lhs_ptr, rhs_ptr, dst_ptr, dst_stride, - sizeof(float), -FLT_MAX, FLT_MAX); + int64_t remaining = m_count; + int64_t cur = m_start; + + uint8_t * lhs_packed = scratch + slot.lhs_offset; + while (remaining > 0) { + const int64_t row_in_group = cur; + const int64_t avail = (int64_t)m - row_in_group; + const int64_t take = std::min(avail, remaining); + + const size_t src_off = slot.lhs_info->get_offset(row_in_group, src1->nb[1]); + const void * src_ptr = lhs_batch_base + src_off; + const size_t dst_off = base_packed_off + (size_t)(cur - m_start) * row_stride_bytes; + void * dst_ptr = lhs_packed + dst_off; + + slot.lhs_info->pack_func_ex(take, k, slot_lhs_exec_arg, slot.mr, slot.kr, slot.sr, 0, src_ptr, src1->nb[1], dst_ptr); + + cur += take; + remaining -= take; + } + } + } + + ggml_barrier(params->threadpool); + + runtime_slot & slot = runtime[local_slot]; + if (slot.n_cols > 0 && slot.assigned_threads > 0) { + int64_t active_threads = slot.assigned_threads; + const int64_t max_threads = slot.n_step ? (slot.n_cols / slot.n_step) : slot.assigned_threads; + if (max_threads > 0) { + active_threads = std::min(active_threads, std::max(1, max_threads)); + } + active_threads = std::max(1, active_threads); + + if (local_ith < active_threads) { + const size_t step = slot.n_step ? slot.n_step : 1; + const size_t chunk0 = round_down((size_t)(slot.n_cols / active_threads), step); + const size_t chunkN = slot.n_cols - (active_threads - 1) * chunk0; + const size_t local_start = (size_t)local_ith * chunk0; + const size_t cols = (local_ith == active_threads - 1) ? chunkN : chunk0; + + if (cols > 0) { + const ggml_type slot_rhs_type = slot.kernels->rhs_type; + const size_t slot_lhs_exec_arg = slot_rhs_type == GGML_TYPE_Q4_0 ? QK4_0 : + slot_rhs_type == GGML_TYPE_Q8_0 ? 0 : 0; + const size_t slot_rhs_block_arg = slot_rhs_type == GGML_TYPE_Q4_0 ? QK4_0 : + slot_rhs_type == GGML_TYPE_Q8_0 ? 0 : 0; + const size_t global_start = slot.n_offset + local_start; + const size_t lhs_packed_offset = slot.lhs_info->get_packed_offset_ex(0, k, slot_lhs_exec_arg, slot.mr, slot.kr, slot.sr); + const size_t rhs_packed_offset = slot.kernel->get_rhs_packed_offset_ex(global_start, k, slot_rhs_block_arg); + const size_t dst_offset = slot.kernel->get_dst_offset(0, global_start, dst_stride); + + const uint8_t * lhs_ptr = scratch + slot.lhs_offset + lhs_packed_offset; + const uint8_t * rhs_ptr = slot.rhs_base + rhs_packed_offset; + float * dst_ptr = reinterpret_cast(dst_batch_base + dst_offset); + + slot.kernel->run_kernel_ex(m, cols, k, slot_rhs_block_arg, + lhs_ptr, + rhs_ptr, + dst_ptr, + dst_stride, + sizeof(float), + -FLT_MAX, + FLT_MAX); + } + } + } + + if (batch_idx != ne12 - 1) { + ggml_barrier(params->threadpool); + } } return true; } bool compute_forward_get_rows(struct ggml_compute_params * params, struct ggml_tensor * dst) { + GGML_ASSERT(dst->src[0]->type == GGML_TYPE_Q4_0 || dst->src[0]->type == GGML_TYPE_Q8_0); const ggml_tensor * src0 = dst->src[0]; const ggml_tensor * src1 = dst->src[1]; GGML_TENSOR_BINARY_OP_LOCALS - ggml_kleidiai_kernels * kernels = nullptr; - size_t block_len = 0; - size_t num_bytes_multiplier = 0; + const kleidiai_weight_header * header = kleidiai_weight_header_from_ptr(src0->data); + const bool has_header = kleidiai_is_weight_header_valid(header); - if (dst->src[0]->type == GGML_TYPE_Q4_0) { - if (!ctx.kernels_q4) { - return false; + std::array kernel_chain; + const bool want_q8 = src0->type == GGML_TYPE_Q8_0; + const int chain_count = want_q8 ? kleidiai_collect_q8_chain(kernel_chain) + : kleidiai_collect_q4_chain(kernel_chain); + + ggml_kleidiai_kernels * kernels = nullptr; + const uint8_t * packed_base = static_cast(src0->data); + + if (has_header && chain_count > 0) { + int select_slot = 0; + if (select_slot >= header->slot_count) { + select_slot = header->slot_count - 1; } - kernels = ctx.kernels_q4; - block_len = QK4_0; - num_bytes_multiplier = sizeof(uint16_t); - } else if (dst->src[0]->type == GGML_TYPE_Q8_0) { - if (!ctx.kernels_q8) { - return false; + if (select_slot >= 0 && select_slot < chain_count) { + kernels = kernel_chain[select_slot]; + const uint8_t * slot_ptr = kleidiai_weight_slot_ptr(header, select_slot); + if (slot_ptr) { + packed_base = slot_ptr; + } } - kernels = ctx.kernels_q8; - block_len = QK8_0; - num_bytes_multiplier = sizeof(float); - } else { + } + + if (!kernels && chain_count > 0) { + kernels = kernel_chain[0]; + if (has_header) { + const uint8_t * slot_ptr = kleidiai_weight_slot_ptr(header, 0); + if (slot_ptr) { + packed_base = slot_ptr; + } + } + } + + if (!kernels) { return false; } @@ -541,6 +1165,19 @@ class tensor_traits : public ggml::cpu::tensor_traits { const int64_t nc = ne00; const int64_t nr = ggml_nelements(src1); + const ggml_type rhs_type = kernels->rhs_type; + size_t block_len = 0; + size_t num_bytes_multiplier = 0; + if (rhs_type == GGML_TYPE_Q4_0) { + block_len = QK4_0; + num_bytes_multiplier = sizeof(uint16_t); + } else if (rhs_type == GGML_TYPE_Q8_0) { + block_len = QK8_0; + num_bytes_multiplier = sizeof(float); + } else { + return false; + } + const size_t block_rows = kernel->get_nr(); const size_t kr = kernel->get_kr(); @@ -559,7 +1196,7 @@ class tensor_traits : public ggml::cpu::tensor_traits { GGML_ASSERT(row_idx >= 0 && row_idx < src0->ne[1]); float *out = (float *)((char *)dst->data + i * nb1); - rhs_info->to_float(src0->data, row_idx, nc, out, block_rows, packed_stride, kr, block_len, num_bytes_multiplier); + rhs_info->to_float(packed_base, row_idx, nc, out, block_rows, packed_stride, kr, block_len, num_bytes_multiplier); } return true; @@ -567,36 +1204,39 @@ class tensor_traits : public ggml::cpu::tensor_traits { public: int repack(struct ggml_tensor * tensor, const void * data, size_t data_size) { + GGML_ASSERT(tensor->type == GGML_TYPE_Q4_0 || tensor->type == GGML_TYPE_Q8_0); const size_t n = tensor->ne[1]; const size_t k = tensor->ne[0]; - if (tensor->type == GGML_TYPE_Q4_0) { - if (!ctx.kernels_q4) { - return -1; - } - size_t nr = ctx.kernels_q4->gemm.get_nr(); - size_t kr = ctx.kernels_q4->gemm.get_kr(); - size_t sr = ctx.kernels_q4->gemm.get_sr(); + kleidiai_weight_header * header = kleidiai_weight_header_from_ptr(tensor->data); + if (!header) { + return -1; + } - struct kai_rhs_pack_qs4cxs1s0_param params; - params.lhs_zero_point = 1; - params.rhs_zero_point = 8; - ctx.kernels_q4->rhs_info.pack_func_ex(1, n, k, nr, kr, sr, QK4_0, 0, - static_cast(data), - nullptr, nullptr, tensor->data, 0, ¶ms); - GGML_UNUSED(data_size); - return 0; - } else if (tensor->type == GGML_TYPE_Q8_0) { - if (!ctx.kernels_q8) { - return -1; - } + header->magic = GGML_KLEIDIAI_PACK_MAGIC; + header->version = GGML_KLEIDIAI_PACK_VERSION; + header->slot_count = 0; + + uint8_t * base_ptr = static_cast(tensor->data); + size_t cursor = sizeof(kleidiai_weight_header); + cursor = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN); + + std::array kernel_chain; + const bool want_q8 = tensor->type == GGML_TYPE_Q8_0; + const int slot_total = want_q8 ? kleidiai_collect_q8_chain(kernel_chain) + : kleidiai_collect_q4_chain(kernel_chain); + const bool allow_fallback = kleidiai_pack_fallback_allowed(); + + std::vector qdata; + std::vector scales; + + if (want_q8 && slot_total > 0) { + qdata.resize(n * k, 0); + scales.resize(n, 0.0f); const size_t row_stride = tensor->nb[1]; const size_t k_blocks = (k + QK8_0 - 1) / QK8_0; - std::vector qdata(n * k, 0); - std::vector scales(n, 0.0f); - for (size_t row = 0; row < n; ++row) { const auto * row_blocks = reinterpret_cast( static_cast(data) + row * row_stride); @@ -610,7 +1250,7 @@ public: if (linear_idx >= k) { break; } - const float value = d * blk.qs[l]; + const float value = d * static_cast(blk.qs[l]); max_abs = std::max(max_abs, std::fabs(value)); } } @@ -627,31 +1267,73 @@ public: if (linear_idx >= k) { break; } - const float value = d * blk.qs[l]; + const float value = d * static_cast(blk.qs[l]); int32_t q = scale > 0.0f ? static_cast(std::lround(value * inv_scale)) : 0; q = std::clamp(q, -127, 127); qdata[row * k + linear_idx] = static_cast(q); } } } - - size_t nr = ctx.kernels_q8->gemm.get_nr(); - size_t kr = ctx.kernels_q8->gemm.get_kr(); - size_t sr = ctx.kernels_q8->gemm.get_sr(); - - struct kai_rhs_pack_qsi8cx_params params; - params.lhs_zero_point = 1; - params.scale_multiplier = 1.0f; - - ctx.kernels_q8->rhs_info.pack_func_ex(1, n, k, nr, kr, sr, 0, 0, - qdata.data(), nullptr, scales.data(), - tensor->data, 0, ¶ms); - GGML_UNUSED(data_size); - return 0; } - GGML_UNUSED(data_size); - return -1; + for (int slot = 0; slot < slot_total && slot < GGML_KLEIDIAI_MAX_KERNEL_SLOTS; ++slot) { + if (!allow_fallback && slot > 0) { + break; + } + ggml_kleidiai_kernels * kernels = kernel_chain[slot]; + kernel_info * kernel = &kernels->gemm; + rhs_packing_info * rhs_info = &kernels->rhs_info; + if (!rhs_info || !rhs_info->pack_func_ex || !rhs_info->packed_size_ex || !kernel) { + continue; + } + + const size_t nr = kernel->get_nr(); + const size_t kr = kernel->get_kr(); + const size_t sr = kernel->get_sr(); + const ggml_type rhs_type = kernels->rhs_type; + const size_t block_len = rhs_type == GGML_TYPE_Q8_0 ? QK8_0 : + rhs_type == GGML_TYPE_Q4_0 ? QK4_0 : 0; + if (block_len == 0) { + continue; + } + + const size_t packed_size = rhs_info->packed_size_ex(n, k, nr, kr, block_len); + const size_t aligned_cursor = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN); + + uint8_t * dst_ptr = base_ptr + aligned_cursor; + + if (rhs_type == GGML_TYPE_Q4_0) { + struct kai_rhs_pack_qs4cxs1s0_param params; + params.lhs_zero_point = 1; + params.rhs_zero_point = 8; + rhs_info->pack_func_ex(1, n, k, nr, kr, sr, QK4_0, 0, + static_cast(data), nullptr, nullptr, + dst_ptr, 0, ¶ms); + } else if (rhs_type == GGML_TYPE_Q8_0) { + struct kai_rhs_pack_qsi8cx_params params; + params.lhs_zero_point = 1; + params.scale_multiplier = 1.0f; + rhs_info->pack_func_ex(1, n, k, nr, kr, sr, 0, 0, + qdata.data(), nullptr, scales.data(), + dst_ptr, 0, ¶ms); + } else { + continue; + } + + header->offsets[header->slot_count] = aligned_cursor; + header->sizes[header->slot_count] = packed_size; + ++header->slot_count; + + cursor = aligned_cursor + packed_size; + } + + if (header->slot_count == 0) { + header->magic = 0; + header->version = 0; + memcpy(tensor->data, data, data_size); + } + + return 0; } }; @@ -681,9 +1363,8 @@ static void ggml_backend_cpu_kleidiai_buffer_set_tensor(ggml_backend_buffer_t bu } static const char * ggml_backend_cpu_kleidiai_buffer_type_get_name(ggml_backend_buffer_type_t buft) { - return "CPU_KLEIDIAI"; - GGML_UNUSED(buft); + return "CPU_KLEIDIAI"; } static ggml_backend_buffer_t ggml_backend_cpu_kleidiai_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) { @@ -702,56 +1383,85 @@ static ggml_backend_buffer_t ggml_backend_cpu_kleidiai_buffer_type_alloc_buffer( } static size_t ggml_backend_cpu_kleidiai_buffer_type_get_alignment(ggml_backend_buffer_type_t buft) { - return TENSOR_ALIGNMENT; - GGML_UNUSED(buft); + return TENSOR_ALIGNMENT; } static size_t ggml_backend_cpu_kleidiai_buffer_type_get_alloc_size(ggml_backend_buffer_type_t buft, const struct ggml_tensor * tensor) { GGML_UNUSED(buft); + if (tensor->type != GGML_TYPE_Q4_0 && tensor->type != GGML_TYPE_Q8_0) { + return ggml_nbytes(tensor); + } + const size_t n = tensor->ne[1]; const size_t k = tensor->ne[0]; - ggml_kleidiai_kernels * kernels = nullptr; - size_t block_len = 0; + size_t cursor = sizeof(kleidiai_weight_header); + cursor = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN); - if (tensor->type == GGML_TYPE_Q4_0) { - GGML_ASSERT(ctx.kernels_q4); - kernels = ctx.kernels_q4; - block_len = QK4_0; - } else if (tensor->type == GGML_TYPE_Q8_0) { - GGML_ASSERT(ctx.kernels_q8); - kernels = ctx.kernels_q8; - block_len = QK8_0; - } else { - return 0; + std::array kernel_chain; + const bool want_q8 = tensor->type == GGML_TYPE_Q8_0; + const int slot_total = want_q8 ? kleidiai_collect_q8_chain(kernel_chain) + : kleidiai_collect_q4_chain(kernel_chain); + const bool allow_fallback = kleidiai_pack_fallback_allowed(); + + size_t slot_count = 0; + for (int slot = 0; slot < slot_total; ++slot) { + if (!allow_fallback && slot > 0) { + break; + } + ggml_kleidiai_kernels * kernels = kernel_chain[slot]; + if (!kernels) { + continue; + } + kernel_info * kernel = &kernels->gemm; + rhs_packing_info * rhs_info = &kernels->rhs_info; + if (!kernel || !rhs_info || !rhs_info->packed_size_ex) { + continue; + } + + const ggml_type rhs_type = kernels->rhs_type; + const size_t block_len = rhs_type == GGML_TYPE_Q4_0 ? QK4_0 : + rhs_type == GGML_TYPE_Q8_0 ? QK8_0 : 0; + if (block_len == 0) { + continue; + } + + cursor = align_up(cursor, GGML_KLEIDIAI_PACK_ALIGN); + cursor += rhs_info->packed_size_ex(n, k, kernel->get_nr(), kernel->get_kr(), block_len); + ++slot_count; } - const size_t nr = kernels->gemm.get_nr(); - const size_t kr = kernels->gemm.get_kr(); - const size_t packed = kernels->rhs_info.packed_size_ex(n, k, nr, kr, block_len); - const size_t raw = ggml_nbytes(tensor); + if (slot_count == 0) { + return ggml_nbytes(tensor); + } - return packed > raw ? packed : raw; + return std::max(cursor, ggml_nbytes(tensor)); } namespace ggml::cpu::kleidiai { class extra_buffer_type : ggml::cpu::extra_buffer_type { bool supports_op(ggml_backend_dev_t, const struct ggml_tensor * op) override { + std::array kernel_chain; + const int slot_total = kleidiai_collect_kernel_chain(op, kernel_chain); if ((op->op == GGML_OP_MUL_MAT || op->op == GGML_OP_GET_ROWS) && (op->src[0]->type == GGML_TYPE_Q4_0 || op->src[0]->type == GGML_TYPE_Q8_0) && op->src[0]->buffer && (ggml_n_dims(op->src[0]) == 2) && - op->src[0]->buffer->buft == ggml_backend_cpu_kleidiai_buffer_type()) { - if (((op->src[0]->type == GGML_TYPE_Q4_0) ? ctx.kernels_q4 : ctx.kernels_q8) == nullptr) { + op->src[0]->buffer->buft == ggml_backend_cpu_kleidiai_buffer_type() && + slot_total > 0) { + if (op->src[0]->type == GGML_TYPE_Q4_0 && ctx.kernels_q4 == nullptr) { + return false; + } + if (op->src[0]->type == GGML_TYPE_Q8_0 && ctx.kernels_q8 == nullptr) { return false; } if (op->src[1]->buffer && !ggml_backend_buft_is_host(op->src[1]->buffer->buft)) { return false; } if ((op->src[1]->type == GGML_TYPE_F32 || op->src[1]->type == GGML_TYPE_I32) && - ggml_ne(op->src[1], 2) == 1 && ggml_ne(op->src[1], 3) == 1) { + ggml_ne(op->src[1], 3) == 1) { return true; } } @@ -762,14 +1472,19 @@ class extra_buffer_type : ggml::cpu::extra_buffer_type { if (op->op == GGML_OP_MUL_MAT || op->op == GGML_OP_GET_ROWS) { if (op->src[0]->buffer && op->src[0]->buffer->buft == ggml_backend_cpu_kleidiai_buffer_type()) { return (ggml::cpu::tensor_traits *) op->src[0]->extra; - } - else if (ggml_kleidiai_select_kernels(ctx.features, op) && op->src[1]->ne[1] > 1) { - if ((op->src[0]->nb[1] * op->src[0]->ne[1] != op->src[0]->nb[2]) || - (op->src[1]->nb[1] * op->src[1]->ne[1] != op->src[1]->nb[2])) { + } else { + if (op->src[0]->type != GGML_TYPE_F16) { return nullptr; } - - return ggml::cpu::kleidiai::get_tensor_traits(NULL, NULL); + std::array kernel_chain; + const int slot_total = kleidiai_collect_kernel_chain(op, kernel_chain); + if (slot_total > 0 && op->src[1]->ne[1] > 1) { + if ((op->src[0]->nb[1] * op->src[0]->ne[1] != op->src[0]->nb[2]) || + (op->src[1]->nb[1] * op->src[1]->ne[1] != op->src[1]->nb[2])) { + return nullptr; + } + return ggml::cpu::kleidiai::get_tensor_traits(NULL, NULL); + } } } return nullptr; diff --git a/ggml/src/ggml-cpu/llamafile/sgemm.cpp b/ggml/src/ggml-cpu/llamafile/sgemm.cpp index c89e5076f2..63ceb635de 100644 --- a/ggml/src/ggml-cpu/llamafile/sgemm.cpp +++ b/ggml/src/ggml-cpu/llamafile/sgemm.cpp @@ -3194,6 +3194,7 @@ class tinyBLAS_PPC { private: + __attribute__((always_inline)) inline void save_acc(acc_t * ACC, int64_t ii, int64_t jj) { vec_t vec_C[4]; __builtin_mma_disassemble_acc(vec_C, ACC); @@ -3204,6 +3205,7 @@ class tinyBLAS_PPC { } } + __attribute__((always_inline)) inline void add_save_acc(acc_t * ACC, int64_t ii, int64_t jj) { vec_t vec_C[4]; __builtin_mma_disassemble_acc(vec_C, ACC); diff --git a/ggml/src/ggml-cpu/ops.cpp b/ggml/src/ggml-cpu/ops.cpp index 2c372f9635..3f85e531da 100644 --- a/ggml/src/ggml-cpu/ops.cpp +++ b/ggml/src/ggml-cpu/ops.cpp @@ -670,6 +670,7 @@ void ggml_compute_forward_add( case GGML_TYPE_Q5_1: case GGML_TYPE_Q8_0: case GGML_TYPE_MXFP4: + case GGML_TYPE_NVFP4: case GGML_TYPE_Q2_K: case GGML_TYPE_Q3_K: case GGML_TYPE_Q4_K: @@ -1119,6 +1120,7 @@ void ggml_compute_forward_add1( case GGML_TYPE_Q8_0: case GGML_TYPE_Q8_1: case GGML_TYPE_MXFP4: + case GGML_TYPE_NVFP4: case GGML_TYPE_Q2_K: case GGML_TYPE_Q3_K: case GGML_TYPE_Q4_K: @@ -1247,6 +1249,7 @@ void ggml_compute_forward_acc( case GGML_TYPE_Q8_0: case GGML_TYPE_Q8_1: case GGML_TYPE_MXFP4: + case GGML_TYPE_NVFP4: case GGML_TYPE_Q2_K: case GGML_TYPE_Q3_K: case GGML_TYPE_Q4_K: @@ -4334,6 +4337,7 @@ void ggml_compute_forward_out_prod( case GGML_TYPE_Q5_1: case GGML_TYPE_Q8_0: case GGML_TYPE_MXFP4: + case GGML_TYPE_NVFP4: case GGML_TYPE_Q2_K: case GGML_TYPE_Q3_K: case GGML_TYPE_Q4_K: @@ -4609,6 +4613,7 @@ void ggml_compute_forward_set( case GGML_TYPE_Q8_0: case GGML_TYPE_Q8_1: case GGML_TYPE_MXFP4: + case GGML_TYPE_NVFP4: case GGML_TYPE_Q2_K: case GGML_TYPE_Q3_K: case GGML_TYPE_Q4_K: @@ -4831,6 +4836,7 @@ void ggml_compute_forward_get_rows( case GGML_TYPE_Q8_0: case GGML_TYPE_Q8_1: case GGML_TYPE_MXFP4: + case GGML_TYPE_NVFP4: case GGML_TYPE_Q2_K: case GGML_TYPE_Q3_K: case GGML_TYPE_Q4_K: @@ -5555,6 +5561,7 @@ void ggml_compute_forward_clamp( case GGML_TYPE_Q8_0: case GGML_TYPE_Q8_1: case GGML_TYPE_MXFP4: + case GGML_TYPE_NVFP4: case GGML_TYPE_Q2_K: case GGML_TYPE_Q3_K: case GGML_TYPE_Q4_K: @@ -6198,7 +6205,7 @@ static void ggml_compute_forward_im2col_f16( const ggml_tensor * src1 = dst->src[1]; GGML_ASSERT(src0->type == GGML_TYPE_F16); - GGML_ASSERT(src1->type == GGML_TYPE_F32); + GGML_ASSERT(src1->type == GGML_TYPE_F16 || src1->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F16); GGML_TENSOR_BINARY_OP_LOCALS; @@ -6229,7 +6236,7 @@ static void ggml_compute_forward_im2col_f16( int ofs1 = is_2D ? nb12 : nb11; GGML_ASSERT(nb00 == sizeof(ggml_fp16_t)); - GGML_ASSERT(nb10 == sizeof(float)); + GGML_ASSERT(nb10 == ggml_type_size(src1->type)); // im2col: [N, IC, IH, IW] => [N, OH, OW, IC*KH*KW] { @@ -6242,7 +6249,12 @@ static void ggml_compute_forward_im2col_f16( // micro kernel ggml_fp16_t * dst_data = wdata + (in*OH*OW + ioh*OW + iow)*(IC*KH*KW); // [IC, KH, KW] - const float * const src_data = (float *)((char *) src1->data + in*ofs0 + iic*ofs1); // [IH, IW] + const float * const src_data_f32 = src1->type == GGML_TYPE_F32 + ? (const float *)((const char *) src1->data + in*ofs0 + iic*ofs1) + : nullptr; // [IH, IW] + const ggml_fp16_t * const src_data_f16 = src1->type == GGML_TYPE_F16 + ? (const ggml_fp16_t *)((const char *) src1->data + in*ofs0 + iic*ofs1) + : nullptr; // [IH, IW] for (int64_t ikh = 0; ikh < KH; ikh++) { // 1 for (int64_t ikw = 0; ikw < KW; ikw++) { @@ -6252,7 +6264,11 @@ static void ggml_compute_forward_im2col_f16( if (iih < 0 || iih >= IH || iiw < 0 || iiw >= IW) { dst_data[iic*(KH*KW) + ikh*KW + ikw] = 0; } else { - dst_data[iic*(KH*KW) + ikh*KW + ikw] = GGML_CPU_FP32_TO_FP16(src_data[iih*IW + iiw]); + if (src_data_f32 != nullptr) { + dst_data[iic*(KH*KW) + ikh*KW + ikw] = GGML_CPU_FP32_TO_FP16(src_data_f32[iih*IW + iiw]); + } else { + dst_data[iic*(KH*KW) + ikh*KW + ikw] = src_data_f16[iih*IW + iiw]; + } } } } @@ -9617,7 +9633,7 @@ void ggml_compute_forward_win_unpart( } } -//gmml_compute_forward_unary +//ggml_compute_forward_unary void ggml_compute_forward_unary( const ggml_compute_params * params, @@ -10380,6 +10396,195 @@ void ggml_compute_forward_solve_tri(const struct ggml_compute_params * params, s } } +// ggml_compute_forward_gated_delta_net +static void ggml_compute_forward_gated_delta_net_one_chunk( + const ggml_compute_params * params, + ggml_tensor * dst, + int64_t ir0, + int64_t ir1) { + + ggml_tensor * src_q = dst->src[0]; + ggml_tensor * src_k = dst->src[1]; + ggml_tensor * src_v = dst->src[2]; + ggml_tensor * src_g = dst->src[3]; + ggml_tensor * src_beta = dst->src[4]; + ggml_tensor * src_state = dst->src[5]; + + const int64_t S_v = src_v->ne[0]; + const int64_t H = src_v->ne[1]; + const int64_t n_tokens = src_v->ne[2]; + const int64_t n_seqs = src_v->ne[3]; + + GGML_ASSERT(ggml_is_contiguous_rows(src_q)); + GGML_ASSERT(ggml_is_contiguous_rows(src_k)); + GGML_ASSERT(ggml_is_contiguous_rows(src_v)); + GGML_ASSERT(ggml_is_contiguous(src_g)); + GGML_ASSERT(ggml_is_contiguous(src_beta)); + GGML_ASSERT(ggml_is_contiguous(src_state)); + + GGML_ASSERT(src_g->ne[0] == 1 || src_g->ne[0] == S_v); + GGML_ASSERT(src_beta->ne[0] == 1); + + GGML_TENSOR_LOCALS(int64_t, neq, src_q, ne); + GGML_TENSOR_LOCALS(size_t, nbq, src_q, nb); + GGML_TENSOR_LOCALS(int64_t, nek, src_k, ne); + GGML_TENSOR_LOCALS(size_t, nbk, src_k, nb); + GGML_TENSOR_LOCALS(int64_t, nev, src_v, ne); + GGML_TENSOR_LOCALS(size_t, nbv, src_v, nb); + GGML_TENSOR_LOCALS(int64_t, neg, src_g, ne); + GGML_TENSOR_LOCALS(size_t, nbg, src_g, nb); + GGML_TENSOR_LOCALS(size_t, nbb, src_beta, nb); + + const bool kda = (neg0 == S_v); + + // scratch layout per thread: [delta(S_v)] + const int64_t scratch_per_thread = S_v; + const int ith = params->ith; + + float * delta = (float *)params->wdata + ith * scratch_per_thread + CACHE_LINE_SIZE_F32; + + // output layout: [attn_scores | new_states] + // attn_scores: S_v * H * n_tokens * n_seqs floats + // new_states: S_v * S_v * H * n_seqs floats + const int64_t attn_score_elems = S_v * H * n_tokens * n_seqs; + float * attn_out_base = (float *)dst->data; + float * state_out_base = (float *)dst->data + attn_score_elems; + + const float * state_in_base = (const float *)src_state->data; + + //const int64_t rq1 = nev1 / neq1; + //const int64_t rk1 = nev1 / nek1; + const int64_t rq3 = nev3 / neq3; + const int64_t rk3 = nev3 / nek3; + + const float scale = 1.0f / sqrtf((float) S_v); + + for (int64_t ir = ir0; ir < ir1; ++ir) { + const int64_t iv1 = ir % H; // head_index + const int64_t iv3 = ir / H; // sequence + + const int64_t iq1 = iv1 % neq1; + const int64_t ik1 = iv1 % nek1; + + const int64_t iq3 = iv3 / rq3; + const int64_t ik3 = iv3 / rk3; + + float * s_out = state_out_base + (iv3 * H + iv1) * S_v * S_v; + + // copy input state into output buffer and operate in-place + const float * s_in = state_in_base + (iv3 * H + iv1) * S_v * S_v; + memcpy(s_out, s_in, S_v * S_v * sizeof(float)); + + // attn output pointer for first token of this (head, seq) + float * attn_data = attn_out_base + (iv3 * n_tokens * H + iv1) * S_v; + + for (int64_t t = 0; t < n_tokens; t++) { + const float * q_d = (const float *)((const char *)src_q->data + iq3 * nbq3 + t * nbq2 + iq1 * nbq1); + const float * k_d = (const float *)((const char *)src_k->data + ik3 * nbk3 + t * nbk2 + ik1 * nbk1); + const float * v_d = (const float *)((const char *)src_v->data + iv3 * nbv3 + t * nbv2 + iv1 * nbv1); + + const float beta_val = *(const float *)((const char *)src_beta->data + iv3 * nbb3 + t * nbb2 + iv1 * nbb1); + const float * g_d = (const float *)((const char *)src_g->data + iv3 * nbg3 + t * nbg2 + iv1 * nbg1); + + // state is stored transposed: s_out[j*S_v + i] = S[i][j] + // so row j of s_out = column j of S (contiguous access) + + if (kda) { + // precompute exp(g) into delta scratch (reused below) + for (int64_t i = 0; i < S_v; ++i) { + delta[i] = expf(g_d[i]); + } + // S[i][:] *= exp(g[i]) => for each row j of M: M[j][i] *= exp(g[i]) + for (int64_t j = 0; j < S_v; ++j) { + ggml_vec_mul_f32(S_v, &s_out[j * S_v], &s_out[j * S_v], delta); + } + } else { + ggml_vec_scale_f32(S_v * S_v, s_out, expf(g_d[0])); + } + + // delta[j] = sum_i S[i][j] * k[i] = dot(row j of M, k) + for (int64_t j = 0; j < S_v; ++j) { + float sum = 0.0f; + ggml_vec_dot_f32(S_v, &sum, 0, &s_out[j * S_v], 0, k_d, 0, 1); + delta[j] = (v_d[j] - sum) * beta_val; + } + + // outer product: S[i][j] += k[i] * delta[j] => M[j][i] += delta[j] * k[i] + for (int64_t j = 0; j < S_v; ++j) { + ggml_vec_mad_f32(S_v, &s_out[j * S_v], k_d, delta[j]); + } + + // attn_out[j] = sum_i S[i][j] * q[i] = dot(row j of M, q) + for (int64_t j = 0; j < S_v; ++j) { + float sum = 0.0f; + ggml_vec_dot_f32(S_v, &sum, 0, &s_out[j * S_v], 0, q_d, 0, 1); + attn_data[j] = sum * scale; + } + + attn_data += S_v * H; // advance to next token + } + } +} + + +static void ggml_compute_forward_gated_delta_net_f32( + const ggml_compute_params * params, + ggml_tensor * dst) { + + ggml_tensor * V = dst->src[2]; + int64_t nr = V->ne[1] * V->ne[3]; + + // disable for NUMA + const bool disable_chunking = ggml_is_numa(); + + int nth = params->nth; + int ith = params->ith; + + // 4x chunks per thread + int nth_scaled = nth * 4; + int64_t chunk_size = (nr + nth_scaled - 1) / nth_scaled; + int64_t nchunk = (nr + chunk_size - 1) / chunk_size; + + if (nth == 1 || nchunk < nth || disable_chunking) { + nchunk = nth; + } + + if (ith == 0) { + ggml_threadpool_chunk_set(params->threadpool, nth); + } + + ggml_barrier(params->threadpool); + + const int64_t dr = (nr + nchunk - 1) / nchunk; + + int current_chunk = ith; + + while (current_chunk < nchunk) { + const int64_t ir0 = dr * current_chunk; + const int64_t ir1 = MIN(ir0 + dr, nr); + + ggml_compute_forward_gated_delta_net_one_chunk(params, dst, ir0, ir1); + current_chunk = ggml_threadpool_chunk_add(params->threadpool, 1); + } +} + +void ggml_compute_forward_gated_delta_net( + const ggml_compute_params * params, + ggml_tensor * dst) { + const ggml_tensor * src0 = dst->src[0]; + + switch (src0->type) { + case GGML_TYPE_F32: + { + ggml_compute_forward_gated_delta_net_f32(params, dst); + } break; + default: + { + GGML_ABORT("fatal error"); + } + } +} + // ggml_compute_forward_rwkv_wkv7 static void ggml_compute_forward_rwkv_wkv7_f32( diff --git a/ggml/src/ggml-cpu/ops.h b/ggml/src/ggml-cpu/ops.h index 0fdfee7976..3fa1443abc 100644 --- a/ggml/src/ggml-cpu/ops.h +++ b/ggml/src/ggml-cpu/ops.h @@ -102,6 +102,7 @@ void ggml_compute_forward_rwkv_wkv6(const struct ggml_compute_params * params, s void ggml_compute_forward_rwkv_wkv7(const struct ggml_compute_params * params, struct ggml_tensor * dst); void ggml_compute_forward_solve_tri(const struct ggml_compute_params * params, struct ggml_tensor * dst); void ggml_compute_forward_gla(const struct ggml_compute_params * params, struct ggml_tensor * dst); +void ggml_compute_forward_gated_delta_net(const struct ggml_compute_params * params, struct ggml_tensor * dst); void ggml_compute_forward_map_custom1(const struct ggml_compute_params * params, struct ggml_tensor * dst); void ggml_compute_forward_map_custom2(const struct ggml_compute_params * params, struct ggml_tensor * dst); void ggml_compute_forward_map_custom3(const struct ggml_compute_params * params, struct ggml_tensor * dst); diff --git a/ggml/src/ggml-cpu/quants.c b/ggml/src/ggml-cpu/quants.c index 365cb36d2d..7ebbb9c6f1 100644 --- a/ggml/src/ggml-cpu/quants.c +++ b/ggml/src/ggml-cpu/quants.c @@ -50,6 +50,10 @@ void quantize_row_mxfp4(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, i quantize_row_mxfp4_ref(x, y, k); } +void quantize_row_nvfp4(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k) { + quantize_row_nvfp4_ref(x, y, k); +} + // // 2-6 bit quantization in super-blocks // @@ -216,6 +220,42 @@ void ggml_vec_dot_mxfp4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, *s = sumf; } +// NVFP4: super-block of 64 elements = 4 sub-blocks of 16 = 2 q8_0 blocks +void ggml_vec_dot_nvfp4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { + assert(nrc == 1); + UNUSED(nrc); + UNUSED(bx); + UNUSED(by); + UNUSED(bs); + assert(n % QK_NVFP4 == 0); + + const block_nvfp4 * GGML_RESTRICT x = vx; + const block_q8_0 * GGML_RESTRICT y = vy; + + const int nb = n / QK_NVFP4; + + float sumf = 0; + + for (int ib = 0; ib < nb; ++ib) { + for (int s_idx = 0; s_idx < 4; ++s_idx) { + const float d = ggml_ue4m3_to_fp32(x[ib].d[s_idx]); + const int q8_block = s_idx / 2; + const int q8_off = (s_idx % 2) * QK_NVFP4_SUB; + const float dy = GGML_CPU_FP16_TO_FP32(y[2*ib + q8_block].d); + + int sumi_lo = 0, sumi_hi = 0; + for (int j = 0; j < QK_NVFP4_SUB/2; ++j) { + const uint8_t qv = x[ib].qs[s_idx*(QK_NVFP4_SUB/2) + j]; + sumi_lo += y[2*ib + q8_block].qs[q8_off + j + 0] * kvalues_mxfp4[qv & 0xf]; + sumi_hi += y[2*ib + q8_block].qs[q8_off + j + QK_NVFP4_SUB/2] * kvalues_mxfp4[qv >> 4]; + } + + sumf += dy * d * (sumi_lo + sumi_hi); + } + } + *s = sumf; +} + void ggml_vec_dot_q5_0_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) { const int qk = QK8_0; const int nb = n / qk; diff --git a/ggml/src/ggml-cpu/quants.h b/ggml/src/ggml-cpu/quants.h index d83eb1b144..3584aaa43e 100644 --- a/ggml/src/ggml-cpu/quants.h +++ b/ggml/src/ggml-cpu/quants.h @@ -20,6 +20,7 @@ void quantize_row_q8_0(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, in void quantize_row_q8_1(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k); void quantize_row_mxfp4(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k); +void quantize_row_nvfp4(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k); void quantize_row_q2_K(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k); void quantize_row_q3_K(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k); @@ -42,6 +43,7 @@ void ggml_vec_dot_q5_1_q8_1(int n, float * GGML_RESTRICT s, size_t bs, const voi void ggml_vec_dot_q8_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc); void ggml_vec_dot_mxfp4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc); +void ggml_vec_dot_nvfp4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc); void ggml_vec_dot_q2_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc); void ggml_vec_dot_q3_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc); @@ -73,6 +75,7 @@ void ggml_vec_dot_q5_1_q8_1_generic(int n, float * GGML_RESTRICT s, size_t bs, c void ggml_vec_dot_q8_0_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc); void ggml_vec_dot_mxfp4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc); +void ggml_vec_dot_nvfp4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc); void ggml_vec_dot_tq1_0_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc); void ggml_vec_dot_tq2_0_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc); diff --git a/ggml/src/ggml-cpu/repack.cpp b/ggml/src/ggml-cpu/repack.cpp index 02c3cc3119..f18758f16b 100644 --- a/ggml/src/ggml-cpu/repack.cpp +++ b/ggml/src/ggml-cpu/repack.cpp @@ -48,6 +48,90 @@ static inline int nearest_int(float fval) { extern "C" { +#if defined __riscv_zvfh +void ggml_quantize_mat_q8_0_4x1_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k) { + assert(QK8_0 == 32); + assert(k % QK8_0 == 0); + const int nb = k / QK8_0; + + block_q8_0x4 * GGML_RESTRICT y = (block_q8_0x4 *) vy; + + // scalar + const int blck_size_interleave = 1; + float srcv[4][QK8_0]; + float id[4]; + + for (int i = 0; i < nb; i++) { + for (int row_iter = 0; row_iter < 4; row_iter++) { + float amax = 0.0f; // absolute max + + for (int j = 0; j < QK8_0; j++) { + srcv[row_iter][j] = x[row_iter * k + i * QK8_0 + j]; + amax = MAX(amax, fabsf(srcv[row_iter][j])); + } + + const float d = amax / ((1 << 7) - 1); + id[row_iter] = d ? 1.0f / d : 0.0f; + + y[i].d[row_iter] = GGML_CPU_FP32_TO_FP16(d); + } + + for (int j = 0; j < QK8_0 * 4; j++) { + int src_offset = (j / (4 * blck_size_interleave)) * blck_size_interleave; + int src_id = (j % (4 * blck_size_interleave)) / blck_size_interleave; + src_offset += (j % blck_size_interleave); + + float x0 = srcv[src_id][src_offset] * id[src_id]; + y[i].qs[j] = roundf(x0); + } + } +} + +void ggml_quantize_mat_q8_K_4x1_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k) { + assert(QK_K == 256); + assert(k % QK_K == 0); + const int nb = k / QK_K; + + block_q8_Kx4 * GGML_RESTRICT y = (block_q8_Kx4 *) vy; + + const int blck_size_interleave = 1; + float srcv[4][QK_K]; + float iscale[4]; + + for (int i = 0; i < nb; i++) { + for (int row_iter = 0; row_iter < 4; row_iter++) { + float amax = 0.0f; // absolute max + float max = 0; + + for (int j = 0; j < QK_K; j++) { + srcv[row_iter][j] = x[row_iter * k + i * QK_K + j]; + // Update the maximum value of the corresponding super block + if(amax < fabsf(srcv[row_iter][j])) { + amax = fabsf(srcv[row_iter][j]); + max = srcv[row_iter][j]; + } + } + + iscale[row_iter] = amax ? -127.f/max : 0; + y[i].d[row_iter] = amax ? 1/iscale[row_iter] : 0; + } + + for (int j = 0; j < QK_K / 4; j++) { + y[i].bsums[j] = 0; + } + for (int j = 0; j < QK_K * 4; j++) { + int src_id = j % 4; + int src_offset = j / 4; + int index = ((j >> 6) << 2) + (j & 3); + + float x0 = srcv[src_id][src_offset] * iscale[src_id]; + y[i].qs[j] = nearest_int(x0); + y[i].bsums[index] += y[i].qs[j]; + } + } +} +#endif + void ggml_quantize_mat_q8_0_4x4_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k) { assert(QK8_0 == 32); assert(k % QK8_0 == 0); @@ -124,7 +208,6 @@ void ggml_quantize_mat_q8_0_4x8_generic(const float * GGML_RESTRICT x, void * GG } } - void ggml_quantize_mat_q8_K_4x4_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k) { assert(QK_K == 256); assert(k % QK_K == 0); @@ -256,6 +339,20 @@ template <> void ggml_quantize_mat_t<8, GGML_TYPE_Q8_K>(const float * GGML_RESTR ggml_quantize_mat_q8_K_4x8(x, vy, n_per_row); } +#if defined __riscv_zvfh +template <> void ggml_quantize_mat_t<1, GGML_TYPE_Q8_0>(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t nrow, int64_t n_per_row) { + assert(nrow == 4); + UNUSED(nrow); + ggml_quantize_mat_q8_0_4x1(x, vy, n_per_row); +} + +template <> void ggml_quantize_mat_t<1, GGML_TYPE_Q8_K>(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t nrow, int64_t n_per_row) { + assert(nrow == 4); + UNUSED(nrow); + ggml_quantize_mat_q8_K_4x1(x, vy, n_per_row); +} +#endif + template static void ggml_gemv_q6_K_NxM_q8_K_generic_impl(int n, float * GGML_RESTRICT s, @@ -1268,6 +1365,296 @@ void ggml_gemv_q8_0_4x8_q8_0_generic(int n, } } +// Only enable these for RISC-V. +#if defined __riscv_zvfh +void ggml_gemv_q4_0_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + const int qk = QK8_0; + const int nb = n / qk; + const int ncols_interleaved = 16; + const int blocklen = 1; + + assert (n % qk == 0); + assert (nc % ncols_interleaved == 0); + + UNUSED(s); + UNUSED(bs); + UNUSED(vx); + UNUSED(vy); + UNUSED(nr); + UNUSED(nc); + UNUSED(nb); + UNUSED(ncols_interleaved); + UNUSED(blocklen); + + float sumf[16]; + int sumi; + + const block_q8_0 * a_ptr = (const block_q8_0 *) vy; + for (int x = 0; x < nc / ncols_interleaved; x++) { + const block_q4_0x16 * b_ptr = (const block_q4_0x16 *) vx + (x * nb); + + for (int j = 0; j < ncols_interleaved; j++) sumf[j] = 0.0; + for (int l = 0; l < nb; l++) { + for (int k = 0; k < (qk / (2 * blocklen)); k++) { + for (int j = 0; j < ncols_interleaved; j++) { + sumi = 0; + for (int i = 0; i < blocklen; ++i) { + const int v0 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] << 4); + const int v1 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0xF0); + sumi += ((v0 * a_ptr[l].qs[k * blocklen + i]) + (v1 * a_ptr[l].qs[k * blocklen + i + qk / 2])) >> 4; + } + sumf[j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d); + } + } + } + for (int j = 0; j < ncols_interleaved; j++) s[x * ncols_interleaved + j] = sumf[j]; + } +} + +void ggml_gemv_q4_K_16x1_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + const int qk = QK_K; + const int nb = n / qk; + const int ncols_interleaved = 16; + const int blocklen = 1; + assert (n % qk == 0); + assert (nc % ncols_interleaved == 0); + UNUSED(s); + UNUSED(bs); + UNUSED(vx); + UNUSED(vy); + UNUSED(nr); + UNUSED(nc); + UNUSED(nb); + UNUSED(ncols_interleaved); + UNUSED(blocklen); + float sumf[16]; + float sum_minf[16]; + uint8_t scales[128]; + uint8_t mins[128]; + int sumi1; + int sumi2; + int sumi; + const block_q8_K * a_ptr = (const block_q8_K *) vy; + for (int x = 0; x < nc / ncols_interleaved; x++) { + const block_q4_Kx16 * b_ptr = (const block_q4_Kx16 *) vx + (x * nb); + for (int j = 0; j < ncols_interleaved; j++) { + sumf[j] = 0.0f; + sum_minf[j] = 0.0f; + } + for (int l = 0; l < nb; l++) { + for (int i = 0; i < 128; i++) { + scales[i] = b_ptr[l].scales[i] & 0x0F; + mins[i] = b_ptr[l].scales[i] >> 4; + } + for (int i = 0; i < 64; i++) { + scales[i] |= (b_ptr[l].scales[128 + i] & 0x03) << 4; + mins[i] |= (b_ptr[l].scales[128 + i] & 0x0C) << 2; + scales[i + 64] |= (b_ptr[l].scales[128 + i] & 0x30); + mins[i + 64] |= (b_ptr[l].scales[128 + i] & 0xC0) >> 2; + } + for (int sb = 0; sb < 8; sb++) { + uint8_t *min = &mins[sb * 16]; + for (int j = 0; j < ncols_interleaved; j++) { + sum_minf[j] += min[j] * (a_ptr[l].bsums[sb * 2] + a_ptr[l].bsums[sb * 2 + 1]) * GGML_CPU_FP16_TO_FP32(b_ptr[l].dmin[j]) * a_ptr[l].d; + } + } + for (int sb = 0; sb < 8; sb += 2) { + uint8_t *scales_0 = &scales[sb * 16]; + uint8_t *scales_1 = &scales[(sb + 1) * 16]; + for (int i = 0; i < QK4_0; i++) { + for (int j = 0; j < ncols_interleaved; j++) { + sumi1 = 0; + sumi2 = 0; + sumi = 0; + const int v0 = (int8_t) (b_ptr[l].qs[sb * 256 + i * 16 + j] & 0xF); + const int v1 = (int8_t) (b_ptr[l].qs[sb * 256 + i * 16 + j] >> 4); + sumi1 = (v0 * a_ptr[l].qs[sb * 32 + i]); + sumi2 = (v1 * a_ptr[l].qs[sb * 32 + 32 + i]); + sumi1 = sumi1 * scales_0[j]; + sumi2 = sumi2 * scales_1[j]; + sumi += sumi1 + sumi2; + sumf[j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * a_ptr[l].d; + } + } + } + } + for (int j = 0; j < ncols_interleaved; j++) { + s[x * ncols_interleaved + j] = sumf[j] - sum_minf[j]; + } + } +} + +void ggml_gemv_iq4_nl_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + const int qk = QK8_0; + const int nb = n / qk; + const int ncols_interleaved = 16; + const int blocklen = 1; + + assert(nr == 1); + assert(n % qk == 0); + assert(nc % ncols_interleaved == 0); + + UNUSED(bs); + UNUSED(nr); + + float sumf[16]; + int sumi; + + const block_q8_0 * a_ptr = (const block_q8_0 *) vy; + for (int x = 0; x < nc / ncols_interleaved; x++) { + const block_iq4_nlx16 * b_ptr = (const block_iq4_nlx16 *) vx + (x * nb); + + for (int j = 0; j < ncols_interleaved; j++) sumf[j] = 0.0; + for (int l = 0; l < nb; l++) { + for (int k = 0; k < (qk / (2 * blocklen)); k++) { + for (int j = 0; j < ncols_interleaved; j++) { + sumi = 0; + for (int i = 0; i < blocklen; ++i) { + const int v0 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0x0F]; + const int v1 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] >> 4]; + sumi += ((v0 * a_ptr[l].qs[k * blocklen + i]) + (v1 * a_ptr[l].qs[k * blocklen + i + qk / 2])); + } + sumf[j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d); + } + } + } + for (int j = 0; j < ncols_interleaved; j++) s[x * ncols_interleaved + j] = sumf[j]; + } +} + +void ggml_gemv_q8_0_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + const int qk = QK8_0; + const int nb = n / qk; + const int ncols_interleaved = 16; + const int blocklen = 1; + + assert(nr == 1); + assert(n % qk == 0); + assert(nc % ncols_interleaved == 0); + + UNUSED(bs); + UNUSED(nr); + + float sumf[16]; + int sumi; + + const block_q8_0 * a_ptr = (const block_q8_0 *) vy; + for (int x = 0; x < nc / ncols_interleaved; x++) { + const block_q8_0x16 * b_ptr = (const block_q8_0x16 *) vx + (x * nb); + + for (int j = 0; j < ncols_interleaved; j++) { + sumf[j] = 0.0; + } + for (int l = 0; l < nb; l++) { + for (int k = 0; k < (qk / blocklen); k++) { + for (int j = 0; j < ncols_interleaved; j++) { + sumi = 0; + for (int i = 0; i < blocklen; ++i) { + const int v0 = b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i]; + sumi += v0 * a_ptr[l].qs[k * blocklen + i]; + } + sumf[j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d); + } + } + } + for (int j = 0; j < ncols_interleaved; j++) { + s[x * ncols_interleaved + j] = sumf[j]; + } + } +} + +void ggml_gemv_q2_K_16x1_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + assert(n % QK_K == 0); + assert(nr == 1); + assert(nc % 16 == 0); + + UNUSED(bs); + UNUSED(nr); + + const int nb = n / QK_K; + const block_q2_Kx16 * x = (const block_q2_Kx16 *)vx; + const block_q8_K * y = (const block_q8_K *)vy; + + // Layout: Even-Low(0,2,4,6), Odd-Low(1,3,5,7), Even-High(8...), Odd-High(9...) + const int sb_perm[16] = { + 0, 4, 1, 5, 2, 6, 3, 7, // 0-7 + 8, 12, 9, 13, 10, 14, 11, 15 // 8-15 + }; + + for (int col_tile = 0; col_tile < nc; col_tile += 16) { + const block_q2_Kx16 * x_ptr = x + (col_tile / 16) * nb; + const block_q8_K * y_ptr = y; + + float sumf[16] = {0}; + + // Loop over K-blocks + for (int k_block = 0; k_block < nb; ++k_block) { + int32_t isum[16] = {0}; + int32_t summs[16] = {0}; + + const uint8_t * qs_rhs = x_ptr[k_block].qs; + const uint8_t * sc_rhs = x_ptr[k_block].scales; + const int8_t * qs_lhs = y_ptr[k_block].qs; + const int16_t * bs_lhs = y_ptr[k_block].bsums; + + // Iterate over sub-blocks 0..15 + for (int sb = 0; sb < 16; ++sb) { + // Correction Term + int16_t bsum = bs_lhs[sb]; + int scale_offset = sb_perm[sb] * 16; + + for (int col = 0; col < 16; ++col) { + uint8_t sc_val = sc_rhs[scale_offset + col]; + summs[col] += bsum * (sc_val >> 4); // Min is high 4 bits + } + + // Main Dot Product + // Calculate base offsets for Q2 unpacking based on SB + int byte_base; + if (sb < 8) byte_base = (sb % 2 == 0) ? 0 : 16; + else byte_base = (sb % 2 == 0) ? 32 : 48; + + int shift = ((sb / 2) % 4) * 2; + + for (int col = 0; col < 16; ++col) { + uint8_t sc_val = sc_rhs[scale_offset + col]; + int32_t d_sb = sc_val & 0xF; // Scale is low 4 bits + + // Process 16 elements (l=0..15) + for (int l = 0; l < 16; ++l) { + // Q2: Interleaved by column. Byte `l` contains 4 k-values. + int qs_idx = (byte_base + l) * 16 + col; + uint8_t q2_val = (qs_rhs[qs_idx] >> shift) & 3; + + // Q8: Linear access + int k = sb * 16 + l; + int8_t q8_val = qs_lhs[k]; + + isum[col] += q8_val * q2_val * d_sb; + } + } + } + + // Finalize K-Block + for (int col = 0; col < 16; ++col) { + float d_lhs = y_ptr[k_block].d; + float d_rhs = GGML_FP16_TO_FP32(x_ptr[k_block].d[col]); + float dm_rhs = GGML_FP16_TO_FP32(x_ptr[k_block].dmin[col]); + + float d_all = d_lhs * d_rhs; + float d_min = d_lhs * dm_rhs; + + sumf[col] += (isum[col] * d_all) - (summs[col] * d_min); + } + } + + for (int col = 0; col < 16; ++col) { + s[col_tile + col] = sumf[col]; + } + } +} +#endif + void ggml_gemm_q4_0_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { const int qk = QK8_0; const int nb = n / qk; @@ -1942,6 +2329,8 @@ void ggml_gemm_q8_0_4x4_q8_0_generic(int n, } } + + void ggml_gemm_q8_0_4x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, @@ -1994,6 +2383,343 @@ void ggml_gemm_q8_0_4x8_q8_0_generic(int n, } } +// Only enable these for RISC-V. +#if defined __riscv_zvfh +void ggml_gemm_q4_0_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + const int qk = QK8_0; + const int nb = n / qk; + const int ncols_interleaved = 16; + const int blocklen = 1; + + assert (n % qk == 0); + assert (nr % 4 == 0); + assert (nc % ncols_interleaved == 0); + + UNUSED(s); + UNUSED(bs); + UNUSED(vx); + UNUSED(vy); + UNUSED(nr); + UNUSED(nc); + UNUSED(nb); + UNUSED(ncols_interleaved); + UNUSED(blocklen); + + float sumf[4][16]; + int sumi; + + for (int y = 0; y < nr / 4; y++) { + const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb); + for (int x = 0; x < nc / ncols_interleaved; x++) { + const block_q4_0x16 * b_ptr = (const block_q4_0x16 *) vx + (x * nb); + for (int m = 0; m < 4; m++) { + for (int j = 0; j < ncols_interleaved; j++) sumf[m][j] = 0.0; + } + for (int l = 0; l < nb; l++) { + for (int k = 0; k < (qk / (2 * blocklen)); k++) { + for (int m = 0; m < 4; m++) { + for (int j = 0; j < ncols_interleaved; j++) { + sumi = 0; + for (int i = 0; i < blocklen; ++i) { + const int v0 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] << 4); + const int v1 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0xF0); + sumi += ((v0 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i]) + + (v1 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i + qk / 2 * 4])) >> 4; + } + sumf[m][j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d[m]); + } + } + } + } + for (int m = 0; m < 4; m++) { + for (int j = 0; j < ncols_interleaved; j++) + s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j]; + } + } + } +} + +void ggml_gemm_q4_K_16x1_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + const int qk = QK_K; + const int nb = n / qk; + const int ncols_interleaved = 16; + const int blocklen = 1; + + assert (n % qk == 0); + assert (nr % 4 == 0); + assert (nc % ncols_interleaved == 0); + + UNUSED(s); + UNUSED(bs); + UNUSED(vx); + UNUSED(vy); + UNUSED(nr); + UNUSED(nc); + UNUSED(nb); + UNUSED(ncols_interleaved); + UNUSED(blocklen); + + float sumf[4][16]; + float sum_minf[4][16]; + uint8_t scales[128]; + uint8_t mins[128]; + int sumi1; + int sumi2; + int sumi; + + for (int y = 0; y < nr / 4; y++) { + const block_q8_Kx4 * a_ptr = (const block_q8_Kx4 *) vy + (y * nb); + for (int x = 0; x < nc / ncols_interleaved; x++) { + const block_q4_Kx16 * b_ptr = (const block_q4_Kx16 *) vx + (x * nb); + for (int m = 0; m < 4; m++) { + for (int j = 0; j < ncols_interleaved; j++) { + sumf[m][j] = 0.0; + sum_minf[m][j] = 0.0; + } + } + for (int l = 0; l < nb; l++) { + for (int i = 0; i < 128; i++) { + scales[i] = b_ptr[l].scales[i] & 0x0F; + mins[i] = b_ptr[l].scales[i] >> 4; + } + for (int i = 0; i < 64; i++) { + scales[i] |= (b_ptr[l].scales[128 + i] & 0x03) << 4; + mins[i] |= (b_ptr[l].scales[128 + i] & 0x0C) << 2; + scales[i + 64] |= (b_ptr[l].scales[128 + i] & 0x30); + mins[i + 64] |= (b_ptr[l].scales[128 + i] & 0xC0) >> 2; + } + + for (int sb = 0; sb < 8; sb++) { + uint8_t *min = &mins[sb * 16]; + for(int m = 0; m < 4; m++) { + const int16_t bsums = a_ptr[l].bsums[sb * 8 + m] + a_ptr[l].bsums[sb * 8 + m + 4]; + for(int j = 0; j < ncols_interleaved; j++) { + sum_minf[m][j] += min[j] * bsums * GGML_CPU_FP16_TO_FP32(b_ptr[l].dmin[j]) * a_ptr[l].d[m]; + } + } + } + + for (int sb = 0; sb < 8; sb += 2) { + uint8_t *scales_0 = &scales[sb * 16]; + uint8_t *scales_1 = &scales[(sb + 1) * 16]; + + for (int i = 0; i < QK4_0; i++) { + for (int m = 0; m < 4; m++) { + for (int j = 0; j < ncols_interleaved; j++) { + sumi1 = 0; + sumi2 = 0; + sumi = 0; + + const int v0 = (int8_t) (b_ptr[l].qs[sb * 256 + i * 16 + j] & 0xF); + const int v1 = (int8_t) (b_ptr[l].qs[sb * 256 + i * 16 + j] >> 4); + sumi1 = (v0 * a_ptr[l].qs[sb * 4 * 32 + i * 4 + m]); + sumi2 = (v1 * a_ptr[l].qs[sb * 4 * 32 + 32 * 4 + i * 4 + m]); + sumi1 = sumi1 * scales_0[j]; + sumi2 = sumi2 * scales_1[j]; + sumi += sumi1 + sumi2; + + sumf[m][j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * a_ptr[l].d[m]; + } + } + } + } + } + for (int m = 0; m < 4; m++) { + for (int j = 0; j < ncols_interleaved; j++) { + s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j] - sum_minf[m][j]; + } + } + } + } +} + +void ggml_gemm_iq4_nl_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + const int qk = QK8_0; + const int nb = n / qk; + const int ncols_interleaved = 16; + const int blocklen = 1; + + assert(n % qk == 0); + assert(nr % 4 == 0); + assert(nc % ncols_interleaved == 0); + + float sumf[4][16]; + int sumi; + + for (int y = 0; y < nr / 4; y++) { + const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb); + for (int x = 0; x < nc / ncols_interleaved; x++) { + const block_iq4_nlx16 * b_ptr = (const block_iq4_nlx16 *) vx + (x * nb); + for (int m = 0; m < 4; m++) { + for (int j = 0; j < ncols_interleaved; j++) sumf[m][j] = 0.0; + } + for (int l = 0; l < nb; l++) { + for (int k = 0; k < (qk / (2 * blocklen)); k++) { + for (int m = 0; m < 4; m++) { + for (int j = 0; j < ncols_interleaved; j++) { + sumi = 0; + for (int i = 0; i < blocklen; ++i) { + const int v0 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0x0F]; + const int v1 = kvalues_iq4nl[b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] >> 4]; + sumi += ((v0 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i]) + + (v1 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i + (qk / 2) * 4])); + } + sumf[m][j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d[m]); + } + } + } + } + for (int m = 0; m < 4; m++) { + for (int j = 0; j < ncols_interleaved; j++) + s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j]; + } + } + } +} + +void ggml_gemm_q8_0_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + const int qk = QK8_0; + const int nb = n / qk; + const int ncols_interleaved = 16; + const int blocklen = 1; + + assert(n % qk == 0); + assert(nr % 4 == 0); + assert(nc % ncols_interleaved == 0); + + float sumf[4][16]; + int sumi; + + for (int y = 0; y < nr / 4; y++) { + const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb); + for (int x = 0; x < nc / ncols_interleaved; x++) { + const block_q8_0x16 * b_ptr = (const block_q8_0x16 *) vx + (x * nb); + for (int m = 0; m < 4; m++) { + for (int j = 0; j < ncols_interleaved; j++) { + sumf[m][j] = 0.0; + } + } + for (int l = 0; l < nb; l++) { + for (int k = 0; k < (qk / blocklen); k++) { + for (int m = 0; m < 4; m++) { + for (int j = 0; j < ncols_interleaved; j++) { + sumi = 0; + for (int i = 0; i < blocklen; ++i) { + const int v0 = b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i]; + sumi += v0 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i]; + } + sumf[m][j] += + sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d[m]); + } + } + } + } + for (int m = 0; m < 4; m++) { + for (int j = 0; j < ncols_interleaved; j++) { + s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j]; + } + } + } + } +} + + +void ggml_gemm_q2_K_16x1_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) { + assert(n % QK_K == 0); + assert(nr % 4 == 0); + assert(nc % 16 == 0); + const int nb = n / QK_K; + const block_q2_Kx16 * x = (const block_q2_Kx16 *)vx; + const block_q8_Kx4 * y = (const block_q8_Kx4 *)vy; + + const int sb_perm[16] = { + 0, 4, 1, 5, 2, 6, 3, 7, + 8, 12, 9, 13, 10, 14, 11, 15 + }; + + // Iterate Rows in tiles of 4 + for (int row_tile = 0; row_tile < nr; row_tile += 4) { + // Iterate Columns in tiles of 16 + for (int col_tile = 0; col_tile < nc; col_tile += 16) { + + const block_q2_Kx16 * x_ptr = x + (col_tile / 16) * nb; + const block_q8_Kx4 * y_ptr = y + (row_tile / 4) * nb; + + float sumf[4][16]; + memset(sumf, 0, sizeof(sumf)); + + for (int k_block = 0; k_block < nb; ++k_block) { + int32_t isum[4][16]; + int32_t summs[4][16]; + memset(isum, 0, sizeof(isum)); + memset(summs, 0, sizeof(summs)); + + const uint8_t * qs_rhs = x_ptr[k_block].qs; + const uint8_t * sc_rhs = x_ptr[k_block].scales; + const int8_t * qs_lhs = y_ptr[k_block].qs; + const int16_t * bs_lhs = y_ptr[k_block].bsums; + + for (int sb = 0; sb < 16; ++sb) { + int scale_offset = sb_perm[sb] * 16; + + int byte_base; + if (sb < 8) byte_base = (sb % 2 == 0) ? 0 : 16; + else byte_base = (sb % 2 == 0) ? 32 : 48; + int shift = ((sb / 2) % 4) * 2; + + for (int col = 0; col < 16; ++col) { + uint8_t sc_val = sc_rhs[scale_offset + col]; + int32_t d_sb = sc_val & 0xF; + int32_t m_sb = sc_val >> 4; + + // Correction Term + for (int r = 0; r < 4; ++r) { + int bsum_idx = (sb / 4) * 16 + r * 4 + (sb % 4); + summs[r][col] += bs_lhs[bsum_idx] * m_sb; + } + + // Main Dot Product + for (int l = 0; l < 16; ++l) { + int qs_idx = (byte_base + l) * 16 + col; + uint8_t q2_val = (qs_rhs[qs_idx] >> shift) & 3; + + // Calculate Q8 index for this specific k and row + int k = sb * 16 + l; + int q8_idx = (k / 4) * 16 + (k % 4); + + for (int r = 0; r < 4; ++r) { + // Add r*4 to jump to the correct row within the 4x4 chunk + int8_t q8_val = qs_lhs[q8_idx + r * 4]; + isum[r][col] += q8_val * q2_val * d_sb; + } + } + } + } + + // Finalize K-Block + for (int col = 0; col < 16; ++col) { + float d_rhs = GGML_FP16_TO_FP32(x_ptr[k_block].d[col]); + float dm_rhs = GGML_FP16_TO_FP32(x_ptr[k_block].dmin[col]); + + for (int r = 0; r < 4; ++r) { + float d_lhs = y_ptr[k_block].d[r]; + float d_all = d_lhs * d_rhs; + float d_min = d_lhs * dm_rhs; + sumf[r][col] += (isum[r][col] * d_all) - (summs[r][col] * d_min); + } + } + } + + for (int r = 0; r < 4; ++r) { + for (int col = 0; col < 16; ++col) { + s[(row_tile + r) * bs + (col_tile + col)] = sumf[r][col]; + } + } + } + } +} +#endif + } // extern "C" static block_q8_0x4 make_block_q8_0x4(block_q8_0 * in, unsigned int blck_size_interleave) { @@ -2082,6 +2808,31 @@ static block_q4_0x8 make_block_q4_0x8(block_q4_0 * in, unsigned int blck_size_in return out; } +static block_q4_0x16 make_block_q4_0x16(block_q4_0 * in, unsigned int blck_size_interleave) { + block_q4_0x16 out; + + for (int i = 0; i < 16; i++) { + out.d[i] = in[i].d; + } + + const int end = QK4_0 * 8 / blck_size_interleave; + + if (blck_size_interleave == 1) { + const uint8_t xor_mask = 0x88; + for (int i = 0; i < end; ++i) { + int src_id = i % 16; + int src_offset = i / 16; + int dst_offset = i; + + out.qs[dst_offset] = in[src_id].qs[src_offset] ^ xor_mask; + } + } else { + GGML_ASSERT(false); + } + + return out; +} + static block_q4_Kx8 make_block_q4_Kx8(block_q4_K * in, unsigned int blck_size_interleave) { block_q4_Kx8 out; //Delta(scale) and dmin values of the eight Q4_K structures are copied onto the output interleaved structure @@ -2159,6 +2910,58 @@ static block_q4_Kx8 make_block_q4_Kx8(block_q4_K * in, unsigned int blck_size_in return out; } +static block_q4_Kx16 make_block_q4_Kx16(block_q4_K * in, unsigned int blck_size_interleave) { + block_q4_Kx16 out; + //Delta(scale) and dmin values of the 16 Q4_K structures are copied onto the output interleaved structure + for (int i = 0; i < 16; i++) { + out.d[i] = in[i].GGML_COMMON_AGGR_U.GGML_COMMON_AGGR_S.d; + } + + for (int i = 0; i < 16; i++) { + out.dmin[i] = in[i].GGML_COMMON_AGGR_U.GGML_COMMON_AGGR_S.dmin; + } + + const int end = QK_K * 8 / blck_size_interleave; + + if (blck_size_interleave == 1) { + for (int i = 0; i < end; ++i) { + int src_id = i % 16; + int src_offset = i / 16; + int dst_offset = i; + + out.qs[dst_offset] = in[src_id].qs[src_offset]; + } + + // RVV repacking. + // + // Extract sums and mins for all 8 sub-blocks for each block of Q4_K. + uint8_t s[128], m[128]; + for (int i = 0; i < 4; i++) { + for (int j = 0; j < 16; j++) { + s[i * 16 + j] = in[j].scales[i] & 63; + m[i * 16 + j] = in[j].scales[i + 4] & 63; + } + } + for (int i = 0; i < 4; i++) { + for (int j = 0; j < 16; j++) { + s[64 + i * 16 + j] = ((in[j].scales[i] & 192) >> 2) | (in[j].scales[i+8] & 15); + m[64 + i * 16 + j] = ((in[j].scales[i + 4] & 192) >> 2) | ((in[j].scales[i+8] & 240) >> 4); + } + } + + for (int i = 0; i < 128; i++) { + out.scales[i] = (s[i] & 15) | ((m[i] & 15) << 4); + } + for (int i = 0; i < 64; i++) { + out.scales[128 + i] = ((s[i] & 48) >> 4) | ((m[i] & 48) >> 2) | (s[64 + i] & 48) | ((m[64 + i] & 48) << 2); + } + } else { + GGML_ASSERT(false); + } + + return out; +} + static block_q2_Kx8 make_block_q2_Kx8(block_q2_K * in, unsigned int blck_size_interleave) { block_q2_Kx8 out; @@ -2332,6 +3135,68 @@ static block_q6_Kx8 make_block_q6_Kx8(block_q6_K * in, unsigned int blck_size_in return out; } +static block_q2_Kx16 make_block_q2_Kx16(const block_q2_K * in, unsigned int blck_size_interleave) { + block_q2_Kx16 out; + constexpr int N_COLS = 16; + + // 1. Copy Super-Scales (d) and Super-Mins (dmin) + for (int i = 0; i < N_COLS; i++) { + out.d[i] = in[i].GGML_COMMON_AGGR_U.GGML_COMMON_AGGR_S.d; + out.dmin[i] = in[i].GGML_COMMON_AGGR_U.GGML_COMMON_AGGR_S.dmin; + } + + // 2. Interleave Q2_K Data + const int bytes_per_col = 64; + const int total_bytes = N_COLS * bytes_per_col; + const int end = total_bytes / blck_size_interleave; + + for (int i = 0; i < end; ++i) { + int src_col_id = i % N_COLS; + int src_offset = (i / N_COLS) * blck_size_interleave; + int dst_offset = i * blck_size_interleave; + memcpy(&out.qs[dst_offset], &in[src_col_id].qs[src_offset], blck_size_interleave); + } + + // 3. Repack Scales into the Optimized "Sequential-Parallel" Layout + int out_idx = 0; + + // Arrays define the sub-block order for each group + const int even_low_sbs[] = {0, 2, 4, 6}; + const int odd_low_sbs[] = {1, 3, 5, 7}; + const int even_high_sbs[] = {8, 10, 12, 14}; + const int odd_high_sbs[] = {9, 11, 13, 15}; + + // Pack Group 1: Even-Low + for (int sb : even_low_sbs) { + for (int col = 0; col < N_COLS; col++) { + out.scales[out_idx++] = in[col].scales[sb]; + } + } + + // Pack Group 2: Odd-Low + for (int sb : odd_low_sbs) { + for (int col = 0; col < N_COLS; col++) { + out.scales[out_idx++] = in[col].scales[sb]; + } + } + + // Pack Group 3: Even-High + for (int sb : even_high_sbs) { + for (int col = 0; col < N_COLS; col++) { + out.scales[out_idx++] = in[col].scales[sb]; + } + } + + // Pack Group 4: Odd-High + for (int sb : odd_high_sbs) { + for (int col = 0; col < N_COLS; col++) { + out.scales[out_idx++] = in[col].scales[sb]; + } + } + + return out; +} + static int repack_q4_0_to_q4_0_4_bl(struct ggml_tensor * t, int interleave_block, const void * GGML_RESTRICT data, size_t data_size) { GGML_ASSERT(t->type == GGML_TYPE_Q4_0); GGML_ASSERT(interleave_block == 4 || interleave_block == 8); @@ -2394,6 +3259,36 @@ static int repack_q4_K_to_q4_K_8_bl(struct ggml_tensor * t, int interleave_block GGML_UNUSED(data_size); } +static int repack_q4_K_to_q4_K_16_bl(struct ggml_tensor * t, int interleave_block, const void * GGML_RESTRICT data, size_t data_size) { + GGML_ASSERT(t->type == GGML_TYPE_Q4_K); + constexpr int nrows_interleaved = 16; + + block_q4_Kx16 * dst = (block_q4_Kx16*)t->data; + const block_q4_K * src = (const block_q4_K*) data; + block_q4_K dst_tmp[16]; + int nrow = ggml_nrows(t); + int nblocks = t->ne[0] / QK_K; + + GGML_ASSERT(data_size == nrow * nblocks * sizeof(block_q4_K)); + + if (t->ne[1] % nrows_interleaved != 0 || t->ne[0] % 8 != 0) { + return -1; + } + + for (int b = 0; b < nrow; b += nrows_interleaved) { + for (int64_t x = 0; x < nblocks; x++) { + for (int i = 0; i < nrows_interleaved; i++ ) { + dst_tmp[i] = src[x + i * nblocks]; + } + *dst++ = make_block_q4_Kx16(dst_tmp, interleave_block); + } + src += nrows_interleaved * nblocks; + } + return 0; + + GGML_UNUSED(data_size); +} + static int repack_q2_K_to_q2_K_8_bl(struct ggml_tensor * t, int interleave_block, const void * GGML_RESTRICT data, size_t data_size) { GGML_ASSERT(t->type == GGML_TYPE_Q2_K); GGML_ASSERT(interleave_block == 8); @@ -2425,6 +3320,71 @@ static int repack_q2_K_to_q2_K_8_bl(struct ggml_tensor * t, int interleave_block GGML_UNUSED(data_size); } +static int repack_q2_K_to_q2_K_16_bl(struct ggml_tensor * t, int interleave_block, const void * GGML_RESTRICT data, size_t data_size) { + GGML_ASSERT(t->type == GGML_TYPE_Q2_K); + constexpr int nrows_interleaved = 16; + + block_q2_Kx16 * dst = (block_q2_Kx16*)t->data; + const block_q2_K * src = (const block_q2_K*) data; + + block_q2_K dst_tmp[nrows_interleaved]; + + int nrow = ggml_nrows(t); + int nblocks = t->ne[0] / QK_K; + + GGML_ASSERT(data_size == nrow * nblocks * sizeof(block_q2_K)); + + if (t->ne[1] % nrows_interleaved != 0 || t->ne[0] % 8 != 0) { + return -1; + } + + for (int b = 0; b < nrow; b += nrows_interleaved) { + for (int64_t x = 0; x < nblocks; x++) { + // This loop gathers 16 separate blocks (one from each column) + // that correspond to the same K-dimension chunk. + for (int i = 0; i < nrows_interleaved; i++ ) { + dst_tmp[i] = src[x + i * nblocks]; + } + + *dst++ = make_block_q2_Kx16(dst_tmp, interleave_block); + } + src += nrows_interleaved * nblocks; + } + return 0; + + GGML_UNUSED(data_size); +} + +static int repack_q4_0_to_q4_0_16_bl(struct ggml_tensor * t, int interleave_block, const void * GGML_RESTRICT data, size_t data_size) { + GGML_ASSERT(t->type == GGML_TYPE_Q4_0); + constexpr int nrows_interleaved = 16; + + block_q4_0x16 * dst = (block_q4_0x16*)t->data; + const block_q4_0 * src = (const block_q4_0*) data; + block_q4_0 dst_tmp[16]; + int nrow = ggml_nrows(t); + int nblocks = t->ne[0] / QK4_0; + + GGML_ASSERT(data_size == nrow * nblocks * sizeof(block_q4_0)); + + if (t->ne[1] % nrows_interleaved != 0 || t->ne[0] % 8 != 0) { + return -1; + } + + for (int b = 0; b < nrow; b += nrows_interleaved) { + for (int64_t x = 0; x < nblocks; x++) { + for (int i = 0; i < nrows_interleaved; i++ ) { + dst_tmp[i] = src[x + i * nblocks]; + } + *dst++ = make_block_q4_0x16(dst_tmp, interleave_block); + } + src += nrows_interleaved * nblocks; + } + return 0; + + GGML_UNUSED(data_size); +} + static int repack_q5_K_to_q5_K_8_bl(struct ggml_tensor * t, int interleave_block, const void * GGML_RESTRICT data, @@ -2549,6 +3509,60 @@ static int repack_q8_0_to_q8_0_4_bl(struct ggml_tensor * t, return 0; } +static block_q8_0x16 make_block_q8_0x16(block_q8_0 * in, unsigned int blck_size_interleave) { + block_q8_0x16 out; + + for (int i = 0; i < 16; i++) { + out.d[i] = in[i].d; + } + + const int end = QK8_0 * 16 / blck_size_interleave; + + if (blck_size_interleave == 1) { + for (int i = 0; i < end; ++i) { + int src_id = i % 16; + int src_offset = i / 16; + int dst_offset = i; + out.qs[dst_offset] = in[src_id].qs[src_offset]; + } + } else { + GGML_ASSERT(false); + } + + return out; +} + +static int repack_q8_0_to_q8_0_16_bl(struct ggml_tensor * t, + int interleave_block, + const void * GGML_RESTRICT data, + size_t data_size) { + GGML_ASSERT(t->type == GGML_TYPE_Q8_0); + constexpr int nrows_interleaved = 16; + + block_q8_0x16 * dst = (block_q8_0x16 *) t->data; + const block_q8_0 * src = (const block_q8_0 *) data; + block_q8_0 dst_tmp[16]; + int nrow = ggml_nrows(t); + int nblocks = t->ne[0] / QK8_0; + + GGML_ASSERT(data_size == nrow * nblocks * sizeof(block_q8_0)); + + if (t->ne[1] % nrows_interleaved != 0 || t->ne[0] % 8 != 0) { + return -1; + } + + for (int b = 0; b < nrow; b += nrows_interleaved) { + for (int64_t x = 0; x < nblocks; x++) { + for (int i = 0; i < nrows_interleaved; i++) { + dst_tmp[i] = src[x + i * nblocks]; + } + *dst++ = make_block_q8_0x16(dst_tmp, interleave_block); + } + src += nrows_interleaved * nblocks; + } + return 0; +} + static block_iq4_nlx4 make_block_iq4_nlx4(block_iq4_nl * in, unsigned int blck_size_interleave) { block_iq4_nlx4 out; @@ -2674,6 +3688,62 @@ static int repack_iq4_nl_to_iq4_nl_8_bl(struct ggml_tensor * t, int interleave_b GGML_UNUSED(data_size); } +static block_iq4_nlx16 make_block_iq4_nlx16(block_iq4_nl * in, unsigned int blck_size_interleave) { + block_iq4_nlx16 out; + + for (int i = 0; i < 16; i++) { + out.d[i] = in[i].d; + } + + const int end = QK4_NL * 8 / blck_size_interleave; + + if (blck_size_interleave == 1) { + for (int i = 0; i < end; ++i) { + int src_id = i % 16; + int src_offset = i / 16; + int dst_offset = i; + + out.qs[dst_offset] = in[src_id].qs[src_offset]; + } + } else { + GGML_ASSERT(false); + } + + return out; +} + +static int repack_iq4_nl_to_iq4_nl_16_bl(struct ggml_tensor * t, int interleave_block, const void * GGML_RESTRICT data, size_t data_size) { + GGML_ASSERT(t->type == GGML_TYPE_IQ4_NL); + GGML_ASSERT(interleave_block == 1); + + const block_iq4_nl * src = (const block_iq4_nl *)data; + block_iq4_nlx16 * dst = ( block_iq4_nlx16 *)t->data; + + block_iq4_nl dst_tmp[16]; + + int nrow = ggml_nrows(t); + int nrows_interleaved = 16; + int nblocks = t->ne[0] / QK4_NL; + + GGML_ASSERT(data_size == nrow * nblocks * sizeof(block_iq4_nl)); + + if (t->ne[1] % nrows_interleaved != 0) { + return -1; + } + + for (int b = 0; b < nrow; b += nrows_interleaved) { + for (int64_t x = 0; x < nblocks; x++) { + for (int i = 0; i < nrows_interleaved; i++) { + dst_tmp[i] = src[x + i * nblocks]; + } + *dst++ = make_block_iq4_nlx16(dst_tmp, interleave_block); + } + src += nrows_interleaved * nblocks; + } + return 0; + + GGML_UNUSED(data_size); +} static block_mxfp4x4 make_block_mxfp4x4(block_mxfp4 * in, unsigned int blck_size_interleave) { block_mxfp4x4 out; @@ -2864,6 +3934,28 @@ template <> int repack(struct ggml_tensor * t, const void * da return repack_q8_0_to_q8_0_4_bl(t, 8, data, data_size); } +#if defined __riscv_zvfh +template <> int repack(struct ggml_tensor * t, const void * data, size_t data_size) { + return repack_q4_0_to_q4_0_16_bl(t, 1, data, data_size); +} + +template <> int repack(struct ggml_tensor * t, const void * data, size_t data_size) { + return repack_q4_K_to_q4_K_16_bl(t, 1, data, data_size); +} + +template <> int repack(struct ggml_tensor * t, const void * data, size_t data_size) { + return repack_iq4_nl_to_iq4_nl_16_bl(t, 1, data, data_size); +} + +template <> int repack(struct ggml_tensor * t, const void * data, size_t data_size) { + return repack_q8_0_to_q8_0_16_bl(t, 1, data, data_size); +} + +template <> int repack(struct ggml_tensor * t, const void * data, size_t data_size) { + return repack_q2_K_to_q2_K_16_bl(t, 1, data, data_size); +} +#endif + // gemv template void gemv(int, float *, size_t, const void *, const void *, int, int); @@ -2939,6 +4031,28 @@ template <> void gemv(int n, float * s, size_t ggml_gemv_q8_0_4x8_q8_0(n, s, bs, vx, vy, nr, nc); } +#if defined __riscv_zvfh +template <> void gemv(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) { + ggml_gemv_q4_0_16x1_q8_0(n, s, bs, vx, vy, nr, nc); +} + +template <> void gemv(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) { + ggml_gemv_q4_K_16x1_q8_K(n, s, bs, vx, vy, nr, nc); +} + +template <> void gemv(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) { + ggml_gemv_iq4_nl_16x1_q8_0(n, s, bs, vx, vy, nr, nc); +} + +template <> void gemv(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) { + ggml_gemv_q8_0_16x1_q8_0(n, s, bs, vx, vy, nr, nc); +} + +template <> void gemv(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) { + ggml_gemv_q2_K_16x1_q8_K(n, s, bs, vx, vy, nr, nc); +} +#endif + // gemm template void gemm(int, float *, size_t, const void *, const void *, int, int); @@ -3014,6 +4128,28 @@ template <> void gemm(int n, float * s, size_t ggml_gemm_q8_0_4x8_q8_0(n, s, bs, vx, vy, nr, nc); } +#if defined __riscv_zvfh +template <> void gemm(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) { + ggml_gemm_q4_0_16x1_q8_0(n, s, bs, vx, vy, nr, nc); +} + +template <> void gemm(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) { + ggml_gemm_q4_K_16x1_q8_K(n, s, bs, vx, vy, nr, nc); +} + +template <> void gemm(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) { + ggml_gemm_iq4_nl_16x1_q8_0(n, s, bs, vx, vy, nr, nc); +} + +template <> void gemm(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) { + ggml_gemm_q8_0_16x1_q8_0(n, s, bs, vx, vy, nr, nc); +} + +template <> void gemm(int n, float * s, size_t bs, const void * vx, const void * vy, int nr, int nc) { + ggml_gemm_q2_K_16x1_q8_K(n, s, bs, vx, vy, nr, nc); +} +#endif + class tensor_traits_base : public ggml::cpu::tensor_traits { public: virtual int repack(struct ggml_tensor * t, const void * data, size_t data_size) = 0; @@ -3422,9 +4558,20 @@ static const ggml::cpu::tensor_traits * ggml_repack_get_optimal_repack_type(cons static const ggml::cpu::repack::tensor_traits q8_0_4x4_q8_0; static const ggml::cpu::repack::tensor_traits q8_0_4x8_q8_0; + // instances for RISC-V + // + // These implement outer-product style matrix multiplication kernels with + // an interleave of 1. +#if defined __riscv_zvfh + static const ggml::cpu::repack::tensor_traits q4_0_16x1_q8_0; + static const ggml::cpu::repack::tensor_traits q4_K_16x1_q8_K; + static const ggml::cpu::repack::tensor_traits iq4_nl_16x1_q8_0; + static const ggml::cpu::repack::tensor_traits q8_0_16x1_q8_0; + static const ggml::cpu::repack::tensor_traits q2_K_16x1_q8_K; +#endif + if (cur->type == GGML_TYPE_Q4_0) { - if (ggml_cpu_has_avx2() || (ggml_cpu_has_sve() && ggml_cpu_has_matmul_int8() && ggml_cpu_get_sve_cnt() == QK8_0) - || (ggml_cpu_has_riscv_v() && (ggml_cpu_get_rvv_vlen() >= QK4_0))) { + if (ggml_cpu_has_avx2() || (ggml_cpu_has_sve() && ggml_cpu_has_matmul_int8() && ggml_cpu_get_sve_cnt() == QK8_0)) { if (cur->ne[1] % 8 == 0) { return &q4_0_8x8_q8_0; } @@ -3439,6 +4586,17 @@ static const ggml::cpu::tensor_traits * ggml_repack_get_optimal_repack_type(cons return &q4_0_4x4_q8_0; } } + if (ggml_cpu_has_riscv_v()) { + #if defined __riscv_zvfh + switch (__riscv_vlenb() * 8) { + case 128: { break; } // TODO + case 256: { if (cur->ne[1] % 16 == 0) { return &q4_0_16x1_q8_0; } break; } + case 512: { break; } // TODO + case 1024: { break; } // TODO + default: { return nullptr; } + } + #endif + } } else if (cur->type == GGML_TYPE_Q4_K) { if (ggml_cpu_has_avx2()) { if (cur->ne[1] % 8 == 0) { @@ -3455,12 +4613,34 @@ static const ggml::cpu::tensor_traits * ggml_repack_get_optimal_repack_type(cons return &q4_K_8x4_q8_K; } } + if (ggml_cpu_has_riscv_v()) { + #if defined __riscv_zvfh + switch (__riscv_vlenb() * 8) { + case 128: { break; } // TODO + case 256: { if (cur->ne[1] % 16 == 0) { return &q4_K_16x1_q8_K; } break; } + case 512: { break; } // TODO + case 1024: { break; } // TODO + default: { return nullptr; } + } + #endif + } } else if (cur->type == GGML_TYPE_Q2_K) { if (ggml_cpu_has_avx512()) { if (cur->ne[1] % 8 == 0) { return &q2_K_8x8_q8_K; } } + if (ggml_cpu_has_riscv_v()) { + #if defined __riscv_zvfh + switch (__riscv_vlenb() * 8) { + case 128: { break; } // TODO + case 256: { if (cur->ne[1] % 16 == 0) { return &q2_K_16x1_q8_K; } break; } + case 512: { break; } // TODO + case 1024: { break; } // TODO + default: { return nullptr; } + } + #endif + } } else if (cur->type == GGML_TYPE_Q5_K) { if (ggml_cpu_has_neon() && ggml_cpu_has_matmul_int8()) { if (cur->ne[1] % 8 == 0) { @@ -3494,6 +4674,17 @@ static const ggml::cpu::tensor_traits * ggml_repack_get_optimal_repack_type(cons return &iq4_nl_4x4_q8_0; } } + if (ggml_cpu_has_riscv_v()) { + #if defined __riscv_zvfh + switch (__riscv_vlenb() * 8) { + case 128: { break; } // TODO + case 256: { if (cur->ne[1] % 16 == 0) { return &iq4_nl_16x1_q8_0; } break; } + case 512: { break; } // TODO + case 1024: { break; } // TODO + default: { return nullptr; } + } + #endif + } } else if (cur->type == GGML_TYPE_MXFP4) { if (ggml_cpu_has_avx2()) { if (cur->ne[1] % 8 == 0) { @@ -3516,6 +4707,17 @@ static const ggml::cpu::tensor_traits * ggml_repack_get_optimal_repack_type(cons return &q8_0_4x4_q8_0; } } + if (ggml_cpu_has_riscv_v()) { + #if defined __riscv_zvfh + switch (__riscv_vlenb() * 8) { + case 128: { break; } // TODO + case 256: { if (cur->ne[1] % 16 == 0) { return &q8_0_16x1_q8_0; } break; } + case 512: { break; } // TODO + case 1024: { break; } // TODO + default: { return nullptr; } + } + #endif + } } return nullptr; diff --git a/ggml/src/ggml-cpu/repack.h b/ggml/src/ggml-cpu/repack.h index b9f821630c..cb21edf623 100644 --- a/ggml/src/ggml-cpu/repack.h +++ b/ggml/src/ggml-cpu/repack.h @@ -28,13 +28,17 @@ template struct block { // control size static_assert(sizeof(block<4, 4>) == 4 * sizeof(ggml_half) + QK8_0 * 2, "wrong block<4,4> size/padding"); static_assert(sizeof(block<4, 8>) == 8 * sizeof(ggml_half) + QK8_0 * 4, "wrong block<4,8> size/padding"); +static_assert(sizeof(block<4, 16>) == 16 * sizeof(ggml_half) + QK8_0 * 8, "wrong block<4,16> size/padding"); static_assert(sizeof(block<8, 4>) == 4 * sizeof(ggml_half) + QK8_0 * 4, "wrong block<8,4> size/padding"); static_assert(sizeof(block<8, 8>) == 8 * sizeof(ggml_half) + QK8_0 * 8, "wrong block<8,8> size/padding"); +static_assert(sizeof(block<8, 16>) == 16 * sizeof(ggml_half) + QK8_0 * 16, "wrong block<8,16> size/padding"); using block_q4_0x4 = block<4, 4>; using block_q4_0x8 = block<4, 8>; +using block_q4_0x16 = block<4, 16>; using block_q8_0x4 = block<8, 4>; using block_q8_0x8 = block<8, 8>; +using block_q8_0x16 = block<8, 16>; struct block_q4_Kx8 { ggml_half d[8]; // super-block scale for quantized scales @@ -44,7 +48,14 @@ struct block_q4_Kx8 { }; static_assert(sizeof(block_q4_Kx8) == sizeof(ggml_half) * 16 + K_SCALE_SIZE * 8 + QK_K * 4, "wrong q4_K block size/padding"); +struct block_q4_Kx16 { + ggml_half d[16]; // super-block scale for quantized scales + ggml_half dmin[16]; // super-block scale for quantized mins + uint8_t scales[192]; // scales and mins, quantized with 6 bits + uint8_t qs[2048]; // 4--bit quants +}; +static_assert(sizeof(block_q4_Kx16) == sizeof(ggml_half) * 32 + K_SCALE_SIZE * 16 + QK_K * 8, "wrong q4_K block size/padding"); struct block_q2_Kx8 { ggml_half d[8]; // super-block scale for quantized scales ggml_half dmin[8]; // super-block scale for quantized mins @@ -53,6 +64,13 @@ struct block_q2_Kx8 { }; static_assert(sizeof(block_q2_Kx8) == sizeof(ggml_half) * 16 + QK_K/2 + QK_K * 2, "wrong q2_K block size/padding"); +struct block_q2_Kx16 { + ggml_half d[16]; // Super-block scale for quantized scales + ggml_half dmin[16]; // Super-block scale for quantized mins + uint8_t scales[256]; // Sub-block scales (16 cols * 16 sub-blocks) + uint8_t qs[1024]; // Data (16 cols * 64 bytes per block) +}; +static_assert(sizeof(block_q2_Kx16) == sizeof(ggml_half) * 32 + QK_K + QK_K * 4, "wrong q2_K block size/padding"); struct block_q5_Kx8 { ggml_half d[8]; // super-block scale for quantized scales @@ -97,6 +115,12 @@ struct block_iq4_nlx8 { static_assert(sizeof(block_iq4_nlx8) == 8 * sizeof(ggml_half) + QK4_NL * 4, "wrong iq4_nlx8 block size/padding"); +struct block_iq4_nlx16 { + ggml_half d[16]; // deltas for 16 iq4_nl blocks + uint8_t qs[QK4_NL * 8]; // nibbles / quants for 16 iq4_nl blocks +}; + +static_assert(sizeof(block_iq4_nlx16) == 16 * sizeof(ggml_half) + QK4_NL * 8, "wrong iq4_nlx16 block size/padding"); struct block_mxfp4x4 { uint8_t e[4]; uint8_t qs[QK_MXFP4 * 2]; @@ -109,7 +133,6 @@ struct block_mxfp4x8 { }; static_assert(sizeof(block_mxfp4x8) == 8 + QK_MXFP4 * 4, "wrong mxfp4x8 block size/padding"); - #if defined(__cplusplus) extern "C" { #endif @@ -132,6 +155,8 @@ void ggml_gemv_iq4_nl_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void ggml_gemv_iq4_nl_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); void ggml_gemv_mxfp4_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); void ggml_gemv_mxfp4_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemv_q8_0_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemv_q8_0_4x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); void ggml_gemm_q4_0_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); void ggml_gemm_q4_0_4x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); void ggml_gemm_q4_0_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); @@ -146,10 +171,22 @@ void ggml_gemm_iq4_nl_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void ggml_gemm_iq4_nl_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); void ggml_gemm_mxfp4_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); void ggml_gemm_mxfp4_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); -void ggml_gemv_q8_0_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); -void ggml_gemv_q8_0_4x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); void ggml_gemm_q8_0_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); void ggml_gemm_q8_0_4x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +#if defined __riscv_zvfh +void ggml_quantize_mat_q8_0_4x1(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k); +void ggml_quantize_mat_q8_K_4x1(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k); +void ggml_gemv_q4_0_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemv_q4_K_16x1_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemv_iq4_nl_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemv_q8_0_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemv_q2_K_16x1_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemm_q4_0_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemm_q4_K_16x1_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemm_iq4_nl_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemm_q8_0_16x1_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemm_q2_K_16x1_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +#endif // Native implementations void ggml_quantize_mat_q8_0_4x4_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k); @@ -170,6 +207,8 @@ void ggml_gemv_iq4_nl_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs void ggml_gemv_iq4_nl_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); void ggml_gemv_mxfp4_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); void ggml_gemv_mxfp4_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemv_q8_0_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemv_q8_0_4x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); void ggml_gemm_q4_0_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); void ggml_gemm_q4_0_4x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); void ggml_gemm_q4_0_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); @@ -184,10 +223,22 @@ void ggml_gemm_iq4_nl_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs void ggml_gemm_iq4_nl_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); void ggml_gemm_mxfp4_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); void ggml_gemm_mxfp4_8x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); -void ggml_gemv_q8_0_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); -void ggml_gemv_q8_0_4x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); void ggml_gemm_q8_0_4x4_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); void ggml_gemm_q8_0_4x8_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +#if defined __riscv_zvfh +void ggml_quantize_mat_q8_0_4x1_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k); +void ggml_quantize_mat_q8_K_4x1_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k); +void ggml_gemv_q4_0_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemv_q4_K_16x1_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemv_q8_0_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemv_q2_K_16x1_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemv_iq4_nl_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemm_q4_0_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemm_q4_K_16x1_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemm_q8_0_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemm_q2_K_16x1_q8_K_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +void ggml_gemm_iq4_nl_16x1_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc); +#endif #if defined(__cplusplus) } // extern "C" diff --git a/ggml/src/ggml-cpu/simd-mappings.h b/ggml/src/ggml-cpu/simd-mappings.h index 22de55700d..0deda93098 100644 --- a/ggml/src/ggml-cpu/simd-mappings.h +++ b/ggml/src/ggml-cpu/simd-mappings.h @@ -479,13 +479,51 @@ do { \ // F16 AVX512 -// F16 AVX +#if defined(__AVX512FP16__) + +#define GGML_F16_STEP 128 +#define GGML_F16_EPR 32 + +#define GGML_F16x32 __m512h +#define GGML_F16x32_ZERO _mm512_setzero_ph() +#define GGML_F16x32_SET1(x) _mm512_set1_ph(__extension__(_Float16)(x)) +#define GGML_F16x32_LOAD(x) _mm512_loadu_ph(x) +#define GGML_F16x32_STORE(x, y) _mm512_storeu_ph(x, y) +#define GGML_F16x32_FMA(a, b, c) _mm512_fmadd_ph(b, c, a) +#define GGML_F16x32_ADD _mm512_add_ph +#define GGML_F16x32_MUL _mm512_mul_ph +#define GGML_F16x32_REDUCE(res, x) \ +do { \ + int offset = GGML_F16_ARR >> 1; \ + for (int i = 0; i < offset; ++i) { \ + x[i] = _mm512_add_ph(x[i], x[offset+i]); \ + } \ + offset >>= 1; \ + for (int i = 0; i < offset; ++i) { \ + x[i] = _mm512_add_ph(x[i], x[offset+i]); \ + } \ + offset >>= 1; \ + for (int i = 0; i < offset; ++i) { \ + x[i] = _mm512_add_ph(x[i], x[offset+i]); \ + } \ + res = (ggml_float) _mm512_reduce_add_ph(x[0]); \ +} while (0) + +#define GGML_F16_VEC GGML_F16x32 +#define GGML_F16_VEC_ZERO GGML_F16x32_ZERO +#define GGML_F16_VEC_SET1 GGML_F16x32_SET1 +#define GGML_F16_VEC_LOAD(p, i) GGML_F16x32_LOAD(p) +#define GGML_F16_VEC_STORE(p, r, i) GGML_F16x32_STORE(p, r[i]) +#define GGML_F16_VEC_FMA GGML_F16x32_FMA +#define GGML_F16_VEC_ADD GGML_F16x32_ADD +#define GGML_F16_VEC_MUL GGML_F16x32_MUL +#define GGML_F16_VEC_REDUCE GGML_F16x32_REDUCE + +#else // Fallback FP16 <-> FP32 #define GGML_F16_STEP 64 #define GGML_F16_EPR 16 -// AVX512 has FP16 extension (AVX512_FP16) but I don't have it on my machine so I use FP32 instead - #define GGML_F32Cx16 __m512 #define GGML_F32Cx16_ZERO _mm512_setzero_ps() #define GGML_F32Cx16_SET1(x) _mm512_set1_ps(x) @@ -525,6 +563,8 @@ do { \ #define GGML_F16_VEC_MUL GGML_F32Cx16_MUL #define GGML_F16_VEC_REDUCE GGML_F32Cx16_REDUCE + +#endif // __AVX512FP16__ #elif defined(__AVX__) #define GGML_SIMD diff --git a/ggml/src/ggml-cuda/cpy.cu b/ggml/src/ggml-cuda/cpy.cu index ee84303ef0..d208acf2d5 100644 --- a/ggml/src/ggml-cuda/cpy.cu +++ b/ggml/src/ggml-cuda/cpy.cu @@ -56,7 +56,8 @@ static __global__ void cpy_scalar_transpose(const char * cx, char * cdst, const const int tx = blockIdx.y * CUDA_CPY_TILE_DIM_2D + threadIdx.x; // transpose block offset const int ty = blockIdx.x * CUDA_CPY_TILE_DIM_2D + threadIdx.y; - __shared__ float tile[CUDA_CPY_TILE_DIM_2D][CUDA_CPY_TILE_DIM_2D+1]; + __shared__ float tile[2][CUDA_CPY_TILE_DIM_2D][CUDA_CPY_TILE_DIM_2D+1]; + int cur_tile_buf = 0; #pragma unroll for (int i = 0; i < CUDA_CPY_BLOCK_NM; ++i) { @@ -70,7 +71,7 @@ static __global__ void cpy_scalar_transpose(const char * cx, char * cdst, const if(x < ne01 && y + j < ne00){ const int row = threadIdx.y+j; const int col = threadIdx.x * sizeof(float)/sizeof(T); - T *tile2 = reinterpret_cast(tile[row]); + T *tile2 = reinterpret_cast(tile[cur_tile_buf][row]); tile2[col] = src[imat*n + (y+j)*ne01 + x]; } } @@ -81,10 +82,12 @@ static __global__ void cpy_scalar_transpose(const char * cx, char * cdst, const for (int j = 0; j < CUDA_CPY_TILE_DIM_2D; j += CUDA_CPY_BLOCK_ROWS) { if (ty + j < ne01 && tx < ne00) { const int col = (threadIdx.y+j)*sizeof(float)/sizeof(T); - const T *tile2 = reinterpret_cast(tile[threadIdx.x]); + const T *tile2 = reinterpret_cast(tile[cur_tile_buf][threadIdx.x]); dst[imat*n + (ty+j)*ne00 + tx] = tile2[col]; } } + + cur_tile_buf = (cur_tile_buf + 1) % 2; } GGML_UNUSED_VARS(ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, diff --git a/ggml/src/ggml-cuda/fattn-common.cuh b/ggml/src/ggml-cuda/fattn-common.cuh index b6a7460da8..e9abdf288c 100644 --- a/ggml/src/ggml-cuda/fattn-common.cuh +++ b/ggml/src/ggml-cuda/fattn-common.cuh @@ -892,7 +892,7 @@ void launch_fattn( const int ntiles_x = ((Q->ne[1] + ncols1 - 1) / ncols1); const int gqa_ratio = Q->ne[2] / K->ne[2]; const int ntiles_z_gqa = ((gqa_ratio + ncols2 - 1) / ncols2); - const int ntiles_total = ntiles_x * ntiles_z_gqa * K->ne[2] * Q->ne[3]; + const int ntiles_dst = ntiles_x * ntiles_z_gqa * K->ne[2] * Q->ne[3]; // Optional optimization where the mask is scanned to determine whether part of the calculation can be skipped. // Only worth the overhead if there is at lease one FATTN_KQ_STRIDE x FATTN_KQ_STRIDE square to be skipped or @@ -919,37 +919,37 @@ void launch_fattn( GGML_ASSERT(max_blocks_per_sm > 0); int parallel_blocks = max_blocks_per_sm; + const int ntiles_KV = (K->ne[1] + nbatch_fa - 1) / nbatch_fa; // Max. number of parallel blocks limited by KV cache length. + dim3 blocks_num; if (stream_k) { // For short contexts it can be faster to have the SMs work on whole tiles because this lets us skip the fixup. const int max_blocks = max_blocks_per_sm*nsm; - const int tiles_nwaves = (ntiles_total + max_blocks - 1) / max_blocks; - const int tiles_efficiency_percent = 100 * ntiles_total / (max_blocks*tiles_nwaves); + const int tiles_nwaves = (ntiles_dst + max_blocks - 1) / max_blocks; + const int tiles_efficiency_percent = 100 * ntiles_dst / (max_blocks*tiles_nwaves); - const int nblocks_stream_k = max_blocks; + const int nblocks_stream_k = std::min(max_blocks, ntiles_KV*ntiles_dst); const bool use_stream_k = cc >= GGML_CUDA_CC_ADA_LOVELACE || amd_wmma_available(cc) || tiles_efficiency_percent < 75; - blocks_num.x = use_stream_k ? nblocks_stream_k : ntiles_total; + blocks_num.x = use_stream_k ? nblocks_stream_k : ntiles_dst; blocks_num.y = 1; blocks_num.z = 1; - if (ntiles_total % blocks_num.x != 0) { // Fixup is only needed if the SMs work on fractional tiles. + if (ntiles_dst % blocks_num.x != 0) { // Fixup is only needed if the SMs work on fractional tiles. dst_tmp_meta.alloc((size_t(blocks_num.x) * ncols * (2 + DV/2))); } } else { - const int ntiles_KQ = (K->ne[1] + nbatch_fa - 1) / nbatch_fa; // Max. number of parallel blocks limited by tensor size. - // parallel_blocks must not be larger than what the tensor size allows: - parallel_blocks = std::min(parallel_blocks, ntiles_KQ); + parallel_blocks = std::min(parallel_blocks, ntiles_KV); // If ntiles_total % blocks_per_wave != 0 then some efficiency is lost due to tail effects. // Test whether parallel_blocks can be set to a higher value for better efficiency. const int blocks_per_wave = nsm * max_blocks_per_sm; int nwaves_best = 0; int efficiency_percent_best = 0; - for (int parallel_blocks_test = parallel_blocks; parallel_blocks_test <= ntiles_KQ; ++parallel_blocks_test) { - const int nblocks_total = ntiles_total * parallel_blocks_test; + for (int parallel_blocks_test = parallel_blocks; parallel_blocks_test <= ntiles_KV; ++parallel_blocks_test) { + const int nblocks_total = ntiles_dst * parallel_blocks_test; const int nwaves = (nblocks_total + blocks_per_wave - 1) / blocks_per_wave; const int efficiency_percent = 100 * nblocks_total / (nwaves*blocks_per_wave); @@ -1015,7 +1015,7 @@ void launch_fattn( CUDA_CHECK(cudaGetLastError()); if (stream_k) { - if (ntiles_total % blocks_num.x != 0) { // Fixup is only needed if the SMs work on fractional tiles. + if (ntiles_dst % blocks_num.x != 0) { // Fixup is only needed if the SMs work on fractional tiles. const dim3 block_dim_combine(DV, 1, 1); const dim3 blocks_num_combine = {blocks_num.x, ncols1, ncols2}; diff --git a/ggml/src/ggml-cuda/gated_delta_net.cu b/ggml/src/ggml-cuda/gated_delta_net.cu new file mode 100644 index 0000000000..6b44bec731 --- /dev/null +++ b/ggml/src/ggml-cuda/gated_delta_net.cu @@ -0,0 +1,273 @@ +#include "gated_delta_net.cuh" + +template +__global__ void __launch_bounds__((ggml_cuda_get_physical_warp_size() < S_v ? ggml_cuda_get_physical_warp_size() : S_v) * 4, 2) +gated_delta_net_cuda(const float * q, + const float * k, + const float * v, + const float * g, + const float * beta, + const float * curr_state, + float * dst, + int64_t H, + int64_t n_tokens, + int64_t n_seqs, + int64_t sq1, + int64_t sq2, + int64_t sq3, + int64_t sv1, + int64_t sv2, + int64_t sv3, + int64_t sb1, + int64_t sb2, + int64_t sb3, + const uint3 neqk1_magic, + const uint3 rq3_magic, + float scale) { + const uint32_t h_idx = blockIdx.x; + const uint32_t sequence = blockIdx.y; + // each warp owns one column, using warp-level primitives to reduce across rows + const int lane = threadIdx.x; + const int col = blockIdx.z * blockDim.y + threadIdx.y; + + const uint32_t iq1 = fastmodulo(h_idx, neqk1_magic); + const uint32_t iq3 = fastdiv(sequence, rq3_magic); + + const int64_t attn_score_elems = S_v * H * n_tokens * n_seqs; + float * attn_data = dst; + float * state = dst + attn_score_elems; + + const int64_t state_offset = (sequence * H + h_idx) * S_v * S_v; + state += state_offset; + curr_state += state_offset + col * S_v; + attn_data += (sequence * n_tokens * H + h_idx) * S_v; + + constexpr int warp_size = ggml_cuda_get_physical_warp_size() < S_v ? ggml_cuda_get_physical_warp_size() : S_v; + static_assert(S_v % warp_size == 0, "S_v must be a multiple of warp_size"); + constexpr int rows_per_lane = (S_v + warp_size - 1) / warp_size; + float s_shard[rows_per_lane]; + // state is stored transposed: M[col][i] = S[i][col], row col is contiguous + +#pragma unroll + for (int r = 0; r < rows_per_lane; r++) { + const int i = r * warp_size + lane; + s_shard[r] = curr_state[i]; + } + + for (int t = 0; t < n_tokens; t++) { + const float * q_t = q + iq3 * sq3 + t * sq2 + iq1 * sq1; + const float * k_t = k + iq3 * sq3 + t * sq2 + iq1 * sq1; + const float * v_t = v + sequence * sv3 + t * sv2 + h_idx * sv1; + + const int64_t gb_offset = sequence * sb3 + t * sb2 + h_idx * sb1; + const float * beta_t = beta + gb_offset; + const float * g_t = g + gb_offset * (KDA ? S_v : 1); + + const float beta_val = *beta_t; + + // Cache k and q in registers + float k_reg[rows_per_lane]; + float q_reg[rows_per_lane]; +#pragma unroll + for (int r = 0; r < rows_per_lane; r++) { + const int i = r * warp_size + lane; + k_reg[r] = k_t[i]; + q_reg[r] = q_t[i]; + } + + if constexpr (!KDA) { + const float g_val = expf(*g_t); + + // kv[col] = (S^T @ k)[col] = sum_i S[i][col] * k[i] + float kv_shard = 0.0f; +#pragma unroll + for (int r = 0; r < rows_per_lane; r++) { + kv_shard += s_shard[r] * k_reg[r]; + } + float kv_col = warp_reduce_sum(kv_shard); + + // delta[col] = (v[col] - g * kv[col]) * beta + float delta_col = (v_t[col] - g_val * kv_col) * beta_val; + + // fused: S[i][col] = g * S[i][col] + k[i] * delta[col] + // attn[col] = (S^T @ q)[col] = sum_i S[i][col] * q[i] + float attn_partial = 0.0f; +#pragma unroll + for (int r = 0; r < rows_per_lane; r++) { + s_shard[r] = g_val * s_shard[r] + k_reg[r] * delta_col; + attn_partial += s_shard[r] * q_reg[r]; + } + + float attn_col = warp_reduce_sum(attn_partial); + + if (lane == 0) { + attn_data[col] = attn_col * scale; + } + } else { + // kv[col] = sum_i g[i] * S[i][col] * k[i] + float kv_shard = 0.0f; +#pragma unroll + for (int r = 0; r < rows_per_lane; r++) { + const int i = r * warp_size + lane; + kv_shard += expf(g_t[i]) * s_shard[r] * k_reg[r]; + } + + float kv_col = warp_reduce_sum(kv_shard); + + // delta[col] = (v[col] - kv[col]) * beta + float delta_col = (v_t[col] - kv_col) * beta_val; + + // fused: S[i][col] = g[i] * S[i][col] + k[i] * delta[col] + // attn[col] = (S^T @ q)[col] = sum_i S[i][col] * q[i] + float attn_partial = 0.0f; +#pragma unroll + for (int r = 0; r < rows_per_lane; r++) { + const int i = r * warp_size + lane; + s_shard[r] = expf(g_t[i]) * s_shard[r] + k_reg[r] * delta_col; + attn_partial += s_shard[r] * q_reg[r]; + } + + float attn_col = warp_reduce_sum(attn_partial); + + if (lane == 0) { + attn_data[col] = attn_col * scale; + } + } + + attn_data += S_v * H; + } + + // Write state back to global memory (transposed layout) +#pragma unroll + for (int r = 0; r < rows_per_lane; r++) { + const int i = r * warp_size + lane; + state[col * S_v + i] = s_shard[r]; + } +} + +template +static void launch_gated_delta_net( + const float * q_d, const float * k_d, const float * v_d, + const float * g_d, const float * b_d, const float * s_d, + float * dst_d, + int64_t S_v, int64_t H, int64_t n_tokens, int64_t n_seqs, + int64_t sq1, int64_t sq2, int64_t sq3, + int64_t sv1, int64_t sv2, int64_t sv3, + int64_t sb1, int64_t sb2, int64_t sb3, + int64_t neqk1, int64_t rq3, + float scale, cudaStream_t stream) { + //TODO: Add chunked kernel for even faster pre-fill + const int warp_size = ggml_cuda_info().devices[ggml_cuda_get_device()].warp_size; + const int num_warps = 4; + dim3 grid_dims(H, n_seqs, (S_v + num_warps - 1) / num_warps); + dim3 block_dims(warp_size <= S_v ? warp_size : S_v, num_warps, 1); + + const uint3 neqk1_magic = init_fastdiv_values(neqk1); + const uint3 rq3_magic = init_fastdiv_values(rq3); + + int cc = ggml_cuda_info().devices[ggml_cuda_get_device()].cc; + + switch (S_v) { + case 16: + gated_delta_net_cuda<16, KDA><<>>( + q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, + n_tokens, n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, + sb1, sb2, sb3, neqk1_magic, rq3_magic, scale); + break; + case 32: + gated_delta_net_cuda<32, KDA><<>>( + q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, + n_tokens, n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, + sb1, sb2, sb3, neqk1_magic, rq3_magic, scale); + break; + case 64: { + gated_delta_net_cuda<64, KDA><<>>( + q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, + n_tokens, n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, + sb1, sb2, sb3, neqk1_magic, rq3_magic, scale); + break; + } + case 128: { + gated_delta_net_cuda<128, KDA><<>>( + q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, + n_tokens, n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, + sb1, sb2, sb3, neqk1_magic, rq3_magic, scale); + break; + } + default: + GGML_ABORT("fatal error"); + break; + } +} + +void ggml_cuda_op_gated_delta_net(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { + ggml_tensor * src_q = dst->src[0]; + ggml_tensor * src_k = dst->src[1]; + ggml_tensor * src_v = dst->src[2]; + ggml_tensor * src_g = dst->src[3]; + ggml_tensor * src_beta = dst->src[4]; + ggml_tensor * src_state = dst->src[5]; + + GGML_TENSOR_LOCALS(int64_t, neq, src_q, ne); + GGML_TENSOR_LOCALS(size_t , nbq, src_q, nb); + GGML_TENSOR_LOCALS(int64_t, nek, src_k, ne); + GGML_TENSOR_LOCALS(size_t , nbk, src_k, nb); + GGML_TENSOR_LOCALS(int64_t, nev, src_v, ne); + GGML_TENSOR_LOCALS(size_t, nbv, src_v, nb); + GGML_TENSOR_LOCALS(size_t, nbb, src_beta, nb); + + const int64_t S_v = nev0; + const int64_t H = nev1; + const int64_t n_tokens = nev2; + const int64_t n_seqs = nev3; + + const bool kda = (src_g->ne[0] == S_v); + + GGML_ASSERT(neq1 == nek1); + const int64_t neqk1 = neq1; + + const int64_t rq3 = nev3 / neq3; + + const float * q_d = (const float *) src_q->data; + const float * k_d = (const float *) src_k->data; + const float * v_d = (const float *) src_v->data; + const float * g_d = (const float *) src_g->data; + const float * b_d = (const float *) src_beta->data; + + const float * s_d = (const float *) src_state->data; + float * dst_d = (float *) dst->data; + + GGML_ASSERT(ggml_is_contiguous_rows(src_q)); + GGML_ASSERT(ggml_is_contiguous_rows(src_k)); + GGML_ASSERT(ggml_is_contiguous_rows(src_v)); + GGML_ASSERT(ggml_are_same_stride(src_q, src_k)); + GGML_ASSERT(src_g->ne[0] == 1 || kda); + GGML_ASSERT(ggml_is_contiguous(src_g)); + GGML_ASSERT(ggml_is_contiguous(src_beta)); + GGML_ASSERT(ggml_is_contiguous(src_state)); + + // strides in floats (beta strides used for both g and beta offset computation) + const int64_t sq1 = nbq1 / sizeof(float); + const int64_t sq2 = nbq2 / sizeof(float); + const int64_t sq3 = nbq3 / sizeof(float); + const int64_t sv1 = nbv1 / sizeof(float); + const int64_t sv2 = nbv2 / sizeof(float); + const int64_t sv3 = nbv3 / sizeof(float); + const int64_t sb1 = nbb1 / sizeof(float); + const int64_t sb2 = nbb2 / sizeof(float); + const int64_t sb3 = nbb3 / sizeof(float); + + const float scale = 1.0f / sqrtf((float) S_v); + + cudaStream_t stream = ctx.stream(); + + if (kda) { + launch_gated_delta_net(q_d, k_d, v_d, g_d, b_d, s_d, dst_d, + S_v, H, n_tokens, n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, + sb1, sb2, sb3, neqk1, rq3, scale, stream); + } else { + launch_gated_delta_net(q_d, k_d, v_d, g_d, b_d, s_d, dst_d, + S_v, H, n_tokens, n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, + sb1, sb2, sb3, neqk1, rq3, scale, stream); + } +} diff --git a/ggml/src/ggml-cuda/gated_delta_net.cuh b/ggml/src/ggml-cuda/gated_delta_net.cuh new file mode 100644 index 0000000000..7375e81c0c --- /dev/null +++ b/ggml/src/ggml-cuda/gated_delta_net.cuh @@ -0,0 +1,4 @@ +#include "common.cuh" +#include "ggml.h" + +void ggml_cuda_op_gated_delta_net(ggml_backend_cuda_context & ctx, ggml_tensor * dst); diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu index 54dc43bc08..a31e843e15 100644 --- a/ggml/src/ggml-cuda/ggml-cuda.cu +++ b/ggml/src/ggml-cuda/ggml-cuda.cu @@ -53,6 +53,7 @@ #include "ggml-cuda/upscale.cuh" #include "ggml-cuda/wkv.cuh" #include "ggml-cuda/gla.cuh" +#include "ggml-cuda/gated_delta_net.cuh" #include "ggml-cuda/set.cuh" #include "ggml-cuda/set-rows.cuh" #include "ggml-cuda/pad_reflect_1d.cuh" @@ -123,7 +124,10 @@ static cudaError_t ggml_cuda_device_malloc(void ** ptr, size_t size, int device) err = cudaMallocManaged(ptr, size); #if defined(GGML_USE_HIP) if (err == hipSuccess) { - CUDA_CHECK(cudaMemAdvise(*ptr, size, hipMemAdviseSetCoarseGrain, device)); + // hipMemAdviseSetCoarseGrain is an optional performance hint; + // ignore errors (e.g. hipErrorInvalidValue on some APU/iGPU configs). + (void)cudaMemAdvise(*ptr, size, hipMemAdviseSetCoarseGrain, device); + (void)hipGetLastError(); // clear any error } // fall back to cudaMalloc if not supported (e.g. on Windows) @@ -204,7 +208,14 @@ static ggml_cuda_device_info ggml_cuda_init() { GGML_ASSERT(info.device_count <= GGML_CUDA_MAX_DEVICES); int64_t total_vram = 0; - GGML_LOG_INFO("%s: found %d " GGML_CUDA_NAME " devices:\n", __func__, info.device_count); + for (int id = 0; id < info.device_count; ++id) { + cudaDeviceProp prop; + CUDA_CHECK(cudaGetDeviceProperties(&prop, id)); + total_vram += prop.totalGlobalMem; + } + GGML_LOG_INFO("%s: found %d " GGML_CUDA_NAME " devices (Total VRAM: %zu MiB):\n", + __func__, info.device_count, (size_t)(total_vram / (1024 * 1024))); + total_vram = 0; std::vector> turing_devices_without_mma; for (int id = 0; id < info.device_count; ++id) { @@ -242,6 +253,7 @@ static ggml_cuda_device_info ggml_cuda_init() { #else info.devices[id].supports_cooperative_launch = false; #endif // !(GGML_USE_MUSA) + #if defined(GGML_USE_HIP) info.devices[id].smpbo = prop.sharedMemPerBlock; @@ -256,22 +268,25 @@ static ggml_cuda_device_info ggml_cuda_init() { info.devices[id].cc += prop.minor * 0x10; } } - GGML_LOG_INFO(" Device %d: %s, %s (0x%x), VMM: %s, Wave Size: %d\n", + GGML_LOG_INFO(" Device %d: %s, %s (0x%x), VMM: %s, Wave Size: %d, VRAM: %zu MiB\n", id, prop.name, prop.gcnArchName, info.devices[id].cc & 0xffff, - device_vmm ? "yes" : "no", prop.warpSize); + device_vmm ? "yes" : "no", prop.warpSize, + (size_t)(prop.totalGlobalMem / (1024 * 1024))); #elif defined(GGML_USE_MUSA) // FIXME: Ensure compatibility with varying warp sizes across different MUSA archs. info.devices[id].warp_size = 32; info.devices[id].smpbo = prop.sharedMemPerBlockOptin; info.devices[id].cc = GGML_CUDA_CC_OFFSET_MTHREADS + prop.major * 0x100; info.devices[id].cc += prop.minor * 0x10; - GGML_LOG_INFO(" Device %d: %s, compute capability %d.%d, VMM: %s\n", - id, prop.name, prop.major, prop.minor, device_vmm ? "yes" : "no"); + GGML_LOG_INFO(" Device %d: %s, compute capability %d.%d, VMM: %s, VRAM: %zu MiB\n", + id, prop.name, prop.major, prop.minor, device_vmm ? "yes" : "no", + (size_t)(prop.totalGlobalMem / (1024 * 1024))); #else info.devices[id].smpbo = prop.sharedMemPerBlockOptin; info.devices[id].cc = 100*prop.major + 10*prop.minor; - GGML_LOG_INFO(" Device %d: %s, compute capability %d.%d, VMM: %s\n", - id, prop.name, prop.major, prop.minor, device_vmm ? "yes" : "no"); + GGML_LOG_INFO(" Device %d: %s, compute capability %d.%d, VMM: %s, VRAM: %zu MiB\n", + id, prop.name, prop.major, prop.minor, device_vmm ? "yes" : "no", + (size_t)(prop.totalGlobalMem / (1024 * 1024))); std::string device_name(prop.name); if (device_name == "NVIDIA GeForce MX450") { turing_devices_without_mma.push_back({ id, device_name }); @@ -286,6 +301,7 @@ static ggml_cuda_device_info ggml_cuda_init() { // TODO: Check for future drivers the default scheduling strategy and // remove this call again when cudaDeviceScheduleSpin is default. if (prop.major == 12 && prop.minor == 1) { + CUDA_CHECK(cudaSetDevice(id)); CUDA_CHECK(cudaSetDeviceFlags(cudaDeviceScheduleSpin)); } @@ -1225,6 +1241,34 @@ static cudaError_t ggml_cuda_cpy_tensor_2d( } } +struct cublas_force_compute_type { + bool fp32 = false; + bool fp16 = false; +}; + +static const cublas_force_compute_type & ggml_cuda_cublas_get_force_compute_type() { + static const cublas_force_compute_type compute_type = [] { + cublas_force_compute_type result; + + const bool ggml_cuda_force_cublas_compute_32f_env = getenv("GGML_CUDA_FORCE_CUBLAS_COMPUTE_32F") != nullptr; + const bool ggml_cuda_force_cublas_compute_16f_env = getenv("GGML_CUDA_FORCE_CUBLAS_COMPUTE_16F") != nullptr; + + GGML_ASSERT(ggml_cuda_force_cublas_compute_16f_env == false || ggml_cuda_force_cublas_compute_32f_env == false); + + if (ggml_cuda_force_cublas_compute_32f_env) { + GGML_LOG_INFO("Detected GGML_CUDA_FORCE_CUBLAS_COMPUTE_32F\n"); + result.fp32 = true; + } else if (ggml_cuda_force_cublas_compute_16f_env) { + GGML_LOG_INFO("Detected GGML_CUDA_FORCE_CUBLAS_COMPUTE_16F\n"); + result.fp16 = true; + } + + return result; + }(); + + return compute_type; +} + static void ggml_cuda_op_mul_mat_cublas( ggml_backend_cuda_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, const char * src0_dd_i, const float * src1_ddf_i, @@ -1307,7 +1351,13 @@ static void ggml_cuda_op_mul_mat_cublas( CUBLAS_CHECK(cublasSetStream(ctx.cublas_handle(id), stream)); - if (GGML_CUDA_CC_IS_CDNA(cc) || GGML_CUDA_CC_IS_RDNA4(cc)) { + const auto & force_compute_type = ggml_cuda_cublas_get_force_compute_type(); + + if (!force_compute_type.fp16 && (GGML_CUDA_CC_IS_CDNA(cc) + || GGML_CUDA_CC_IS_RDNA4(cc) + || cc == GGML_CUDA_CC_VOLTA + || force_compute_type.fp32)) + { const float alpha = 1.0f; const float beta = 0.0f; CUBLAS_CHECK( @@ -1906,10 +1956,23 @@ static void ggml_cuda_mul_mat_batched_cublas_impl(ggml_backend_cuda_context & ct cudaDataType_t cu_data_type_b = traits::data_type; const void * alpha = traits::get_alpha(); const void * beta = traits::get_beta(); - const float alpha_f32 = 1.0f; - const float beta_f32 = 0.0f; - if (dst->op_params[0] == GGML_PREC_DEFAULT) { + const auto & force_compute_type = ggml_cuda_cublas_get_force_compute_type(); + + int id = ggml_cuda_get_device(); + const int cc = ggml_cuda_info().devices[id].cc; + static constexpr bool is_src0_type_f16 = src0_type == GGML_TYPE_F16; + + // bf16 and fp32 are already being computed in fp32 (ensure it using static_assert), + // so checking necessity of forced fp32 only for fp16 src0_type + static_assert(is_src0_type_f16 || traits::compute_type == CUBLAS_COMPUTE_32F); + + const bool need_compute_32f = is_src0_type_f16 && !force_compute_type.fp16 && (GGML_CUDA_CC_IS_CDNA(cc) + || GGML_CUDA_CC_IS_RDNA4(cc) + || cc == GGML_CUDA_CC_VOLTA + || force_compute_type.fp32); + + if (dst->op_params[0] == GGML_PREC_DEFAULT && !need_compute_32f) { if constexpr (src0_type == GGML_TYPE_F32) { dst_t = (char *) dst_ddf; // Direct F32 output } else { @@ -1919,18 +1982,10 @@ static void ggml_cuda_mul_mat_batched_cublas_impl(ggml_backend_cuda_context & ct } } else { dst_t = (char *) dst_ddf; - cu_compute_type = CUBLAS_COMPUTE_32F; - cu_data_type = CUDA_R_32F; - alpha = &alpha_f32; - beta = &beta_f32; - } - - int id = ggml_cuda_get_device(); - const int cc = ggml_cuda_info().devices[id].cc; - if (GGML_CUDA_CC_IS_CDNA(cc) || GGML_CUDA_CC_IS_RDNA4(cc)) { - cu_compute_type = CUBLAS_COMPUTE_32F; - alpha = &alpha_f32; - beta = &beta_f32; + cu_compute_type = batched_mul_mat_traits::compute_type; + cu_data_type = batched_mul_mat_traits::data_type; + alpha = batched_mul_mat_traits::get_alpha(); + beta = batched_mul_mat_traits::get_beta(); } GGML_ASSERT(ne12 % ne02 == 0); @@ -2733,6 +2788,9 @@ static bool ggml_cuda_compute_forward(ggml_backend_cuda_context & ctx, struct gg case GGML_OP_GATED_LINEAR_ATTN: ggml_cuda_op_gated_linear_attn(ctx, dst); break; + case GGML_OP_GATED_DELTA_NET: + ggml_cuda_op_gated_delta_net(ctx, dst); + break; case GGML_OP_RWKV_WKV7: ggml_cuda_op_rwkv_wkv7(ctx, dst); break; @@ -2803,14 +2861,11 @@ static bool ggml_backend_cuda_cpy_tensor_async(ggml_backend_t backend_src, ggml_ ggml_backend_buffer_t buf_src = src->view_src ? src->view_src->buffer : src->buffer; ggml_backend_buffer_t buf_dst = dst->view_src ? dst->view_src->buffer : dst->buffer; - //enables async copies from CPU to CUDA, instead of only CUDA-to-CUDA - bool copy_from_host = ggml_backend_buffer_is_host(buf_src) && ggml_backend_dev_type(backend_src->device) == GGML_BACKEND_DEVICE_TYPE_CPU; - - if (!(copy_from_host || ggml_backend_is_cuda(backend_src)) || !ggml_backend_is_cuda(backend_dst)) { + if (!ggml_backend_is_cuda(backend_src) || !ggml_backend_is_cuda(backend_dst)) { return false; } - if (!(copy_from_host || ggml_backend_buffer_is_cuda(buf_src)) || !ggml_backend_buffer_is_cuda(dst->buffer)) { + if (!ggml_backend_buffer_is_cuda(src->buffer) || !ggml_backend_buffer_is_cuda(dst->buffer)) { return false; } @@ -2821,17 +2876,14 @@ static bool ggml_backend_cuda_cpy_tensor_async(ggml_backend_t backend_src, ggml_ ggml_backend_cuda_buffer_context * buf_ctx_src = (ggml_backend_cuda_buffer_context *)buf_src->context; ggml_backend_cuda_buffer_context * buf_ctx_dst = (ggml_backend_cuda_buffer_context *)buf_dst->context; - if ((copy_from_host && cuda_ctx_dst->device != buf_ctx_dst->device) || - !copy_from_host && (cuda_ctx_src->device != buf_ctx_src->device || cuda_ctx_dst->device != buf_ctx_dst->device)) { + if (cuda_ctx_src->device != buf_ctx_src->device || cuda_ctx_dst->device != buf_ctx_dst->device) { #ifndef NDEBUG GGML_LOG_DEBUG("%s: backend and buffer devices do not match\n", __func__); #endif return false; } - if (copy_from_host) { - CUDA_CHECK(cudaMemcpyAsync(dst->data, src->data, ggml_nbytes(dst), cudaMemcpyHostToDevice, cuda_ctx_dst->stream())); - } else if (backend_src != backend_dst) { + if (backend_src != backend_dst) { // copy on src stream if (cuda_ctx_src->device == cuda_ctx_dst->device) { CUDA_CHECK(cudaMemcpyAsync(dst->data, src->data, ggml_nbytes(dst), cudaMemcpyDeviceToDevice, cuda_ctx_src->stream())); @@ -4974,6 +5026,13 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g case GGML_OP_GATED_LINEAR_ATTN: case GGML_OP_RWKV_WKV7: return true; + case GGML_OP_GATED_DELTA_NET: + //TODO: enable once MUSA compiler is solved https://github.com/ggml-org/llama.cpp/pull/19504#issuecomment-4018634327 +#ifdef GGML_USE_MUSA + return false; +#else + return true; +#endif // GGML_USE_MUSA case GGML_OP_FLASH_ATTN_EXT: return ggml_cuda_flash_attn_ext_supported(dev_ctx->device, op); case GGML_OP_CROSS_ENTROPY_LOSS: diff --git a/ggml/src/ggml-cuda/mmvq.cu b/ggml/src/ggml-cuda/mmvq.cu index ce25ccf427..632246e43f 100644 --- a/ggml/src/ggml-cuda/mmvq.cu +++ b/ggml/src/ggml-cuda/mmvq.cu @@ -60,11 +60,17 @@ static constexpr __device__ int get_vdr_mmvq(ggml_type type) { enum mmvq_parameter_table_id { MMVQ_PARAMETERS_GENERIC = 0, MMVQ_PARAMETERS_GCN, - MMVQ_PARAMETERS_RDNA2 + MMVQ_PARAMETERS_RDNA2, + MMVQ_PARAMETERS_RDNA3_0, + MMVQ_PARAMETERS_RDNA4 }; static constexpr __device__ mmvq_parameter_table_id get_device_table_id() { -#if defined(RDNA2) || defined(RDNA3) || defined(RDNA4) +#if defined(RDNA4) + return MMVQ_PARAMETERS_RDNA4; +#elif defined(RDNA3_0) + return MMVQ_PARAMETERS_RDNA3_0; +#elif defined(RDNA2) || defined(RDNA3_5) return MMVQ_PARAMETERS_RDNA2; #elif defined(GCN) || defined(CDNA) return MMVQ_PARAMETERS_GCN; @@ -74,7 +80,13 @@ static constexpr __device__ mmvq_parameter_table_id get_device_table_id() { } static __host__ mmvq_parameter_table_id get_device_table_id(int cc) { - if (GGML_CUDA_CC_IS_RDNA2(cc) || GGML_CUDA_CC_IS_RDNA3(cc) || GGML_CUDA_CC_IS_RDNA4(cc)) { + if (GGML_CUDA_CC_IS_RDNA4(cc)) { + return MMVQ_PARAMETERS_RDNA4; + } + if (GGML_CUDA_CC_IS_RDNA3_0(cc)) { + return MMVQ_PARAMETERS_RDNA3_0; + } + if (GGML_CUDA_CC_IS_RDNA2(cc) || GGML_CUDA_CC_IS_RDNA3_5(cc)) { return MMVQ_PARAMETERS_RDNA2; } if (GGML_CUDA_CC_IS_GCN(cc) || GGML_CUDA_CC_IS_CDNA(cc)) { @@ -83,7 +95,7 @@ static __host__ mmvq_parameter_table_id get_device_table_id(int cc) { return MMVQ_PARAMETERS_GENERIC; } -static constexpr __host__ __device__ int calc_nwarps(int ncols_dst, mmvq_parameter_table_id table_id) { +static constexpr __host__ __device__ int calc_nwarps(ggml_type type, int ncols_dst, mmvq_parameter_table_id table_id) { if (table_id == MMVQ_PARAMETERS_GENERIC) { switch (ncols_dst) { case 1: @@ -114,6 +126,50 @@ static constexpr __host__ __device__ int calc_nwarps(int ncols_dst, mmvq_paramet return 1; } } + if (table_id == MMVQ_PARAMETERS_RDNA4) { + // nwarps=8 benefits types with simple vec_dot on RDNA4 (ncols_dst=1). + // Types with complex vec_dot (Q3_K, IQ2_*, IQ3_*) regress due to register + // pressure and lookup table contention at higher thread counts. + if (ncols_dst == 1) { + switch (type) { + case GGML_TYPE_Q4_0: + case GGML_TYPE_Q4_1: + case GGML_TYPE_Q5_0: + case GGML_TYPE_Q5_1: + case GGML_TYPE_Q8_0: + case GGML_TYPE_Q2_K: + case GGML_TYPE_Q4_K: + case GGML_TYPE_Q5_K: + case GGML_TYPE_Q6_K: + case GGML_TYPE_IQ4_NL: + case GGML_TYPE_IQ4_XS: + return 8; + default: + return 1; + } + } + return 1; + } + if (table_id == MMVQ_PARAMETERS_RDNA3_0) { + // RDNA3 (W7900): stricter whitelist than RDNA4. + // Q2_K / Q5_K / IQ4_XS regress in full quant sweeps. + if (ncols_dst == 1) { + switch (type) { + case GGML_TYPE_Q4_0: + case GGML_TYPE_Q4_1: + case GGML_TYPE_Q5_0: + case GGML_TYPE_Q5_1: + case GGML_TYPE_Q8_0: + case GGML_TYPE_Q4_K: + case GGML_TYPE_Q6_K: + case GGML_TYPE_IQ4_NL: + return 8; + default: + return 1; + } + } + return 1; + } return 1; } @@ -138,7 +194,7 @@ static constexpr __host__ __device__ int calc_rows_per_block(int ncols_dst, int } template -__launch_bounds__(calc_nwarps(ncols_dst, get_device_table_id())*ggml_cuda_get_physical_warp_size(), 1) +__launch_bounds__(calc_nwarps(type, ncols_dst, get_device_table_id())*ggml_cuda_get_physical_warp_size(), 1) static __global__ void mul_mat_vec_q( const void * __restrict__ vx, const void * __restrict__ vy, const int32_t * __restrict__ ids, const ggml_cuda_mm_fusion_args_device fusion, float * __restrict__ dst, const uint32_t ncols_x, const uint3 nchannels_y, const uint32_t stride_row_x, const uint32_t stride_col_y, @@ -151,7 +207,7 @@ static __global__ void mul_mat_vec_q( constexpr int qi = ggml_cuda_type_traits::qi; constexpr int vdr = get_vdr_mmvq(type); constexpr mmvq_parameter_table_id table_id = get_device_table_id(); - constexpr int nwarps = calc_nwarps(ncols_dst, table_id); + constexpr int nwarps = calc_nwarps(type, ncols_dst, table_id); constexpr int rows_per_cuda_block = calc_rows_per_block(ncols_dst, table_id); constexpr int warp_size = ggml_cuda_get_physical_warp_size(); @@ -355,12 +411,13 @@ static __global__ void mul_mat_vec_q( } } +template static std::pair calc_launch_params( const int ncols_dst, const int nrows_x, const int nchannels_dst, const int nsamples_or_ntokens, const int warp_size, const mmvq_parameter_table_id table_id) { const int64_t nblocks = (nrows_x + calc_rows_per_block(ncols_dst, table_id) - 1) / calc_rows_per_block(ncols_dst, table_id); const dim3 block_nums(nblocks, nchannels_dst, nsamples_or_ntokens); - const dim3 block_dims(warp_size, calc_nwarps(ncols_dst, table_id), 1); + const dim3 block_dims(warp_size, calc_nwarps(type, ncols_dst, table_id), 1); return {block_nums, block_dims}; } @@ -420,7 +477,7 @@ static void mul_mat_vec_q_switch_ncols_dst( if (has_ids && ncols_dst > 1) { // Multi-token MUL_MAT_ID path only - single-token goes through regular path below constexpr int c_ncols_dst = 1; - std::pair dims = calc_launch_params(c_ncols_dst, nrows_x, nchannels_dst, ncols_dst, warp_size, table_id); + std::pair dims = calc_launch_params(c_ncols_dst, nrows_x, nchannels_dst, ncols_dst, warp_size, table_id); mul_mat_vec_q_switch_fusion(vx, vy, ids, fusion, dst, ncols_x, nchannels_y_fd, stride_row_x, stride_col_y, stride_col_dst, channel_ratio_fd, stride_channel_x, stride_channel_y, stride_channel_dst, sample_ratio_fd, stride_sample_x, stride_sample_y, stride_sample_dst, @@ -431,7 +488,7 @@ static void mul_mat_vec_q_switch_ncols_dst( switch (ncols_dst) { case 1: { constexpr int c_ncols_dst = 1; - std::pair dims = calc_launch_params(c_ncols_dst, nrows_x, nchannels_dst, nsamples_dst, warp_size, table_id); + std::pair dims = calc_launch_params(c_ncols_dst, nrows_x, nchannels_dst, nsamples_dst, warp_size, table_id); mul_mat_vec_q_switch_fusion(vx, vy, ids, fusion, dst, ncols_x, nchannels_y_fd, stride_row_x, stride_col_y, stride_col_dst, channel_ratio_fd, stride_channel_x, stride_channel_y, stride_channel_dst, sample_ratio_fd, stride_sample_x, stride_sample_y, stride_sample_dst, @@ -439,7 +496,7 @@ static void mul_mat_vec_q_switch_ncols_dst( } break; case 2: { constexpr int c_ncols_dst = 2; - std::pair dims = calc_launch_params(c_ncols_dst, nrows_x, nchannels_dst, nsamples_dst, warp_size, table_id); + std::pair dims = calc_launch_params(c_ncols_dst, nrows_x, nchannels_dst, nsamples_dst, warp_size, table_id); mul_mat_vec_q_switch_fusion(vx, vy, ids, fusion, dst, ncols_x, nchannels_y_fd, stride_row_x, stride_col_y, stride_col_dst, channel_ratio_fd, stride_channel_x, stride_channel_y, stride_channel_dst, sample_ratio_fd, stride_sample_x, stride_sample_y, stride_sample_dst, @@ -447,7 +504,7 @@ static void mul_mat_vec_q_switch_ncols_dst( } break; case 3: { constexpr int c_ncols_dst = 3; - std::pair dims = calc_launch_params(c_ncols_dst, nrows_x, nchannels_dst, nsamples_dst, warp_size, table_id); + std::pair dims = calc_launch_params(c_ncols_dst, nrows_x, nchannels_dst, nsamples_dst, warp_size, table_id); mul_mat_vec_q_switch_fusion(vx, vy, ids, fusion, dst, ncols_x, nchannels_y_fd, stride_row_x, stride_col_y, stride_col_dst, channel_ratio_fd, stride_channel_x, stride_channel_y, stride_channel_dst, sample_ratio_fd, stride_sample_x, stride_sample_y, stride_sample_dst, @@ -455,7 +512,7 @@ static void mul_mat_vec_q_switch_ncols_dst( } break; case 4: { constexpr int c_ncols_dst = 4; - std::pair dims = calc_launch_params(c_ncols_dst, nrows_x, nchannels_dst, nsamples_dst, warp_size, table_id); + std::pair dims = calc_launch_params(c_ncols_dst, nrows_x, nchannels_dst, nsamples_dst, warp_size, table_id); mul_mat_vec_q_switch_fusion(vx, vy, ids, fusion, dst, ncols_x, nchannels_y_fd, stride_row_x, stride_col_y, stride_col_dst, channel_ratio_fd, stride_channel_x, stride_channel_y, stride_channel_dst, sample_ratio_fd, stride_sample_x, stride_sample_y, stride_sample_dst, @@ -463,7 +520,7 @@ static void mul_mat_vec_q_switch_ncols_dst( } break; case 5: { constexpr int c_ncols_dst = 5; - std::pair dims = calc_launch_params(c_ncols_dst, nrows_x, nchannels_dst, nsamples_dst, warp_size, table_id); + std::pair dims = calc_launch_params(c_ncols_dst, nrows_x, nchannels_dst, nsamples_dst, warp_size, table_id); mul_mat_vec_q_switch_fusion(vx, vy, ids, fusion, dst, ncols_x, nchannels_y_fd, stride_row_x, stride_col_y, stride_col_dst, channel_ratio_fd, stride_channel_x, stride_channel_y, stride_channel_dst, sample_ratio_fd, stride_sample_x, stride_sample_y, stride_sample_dst, @@ -471,7 +528,7 @@ static void mul_mat_vec_q_switch_ncols_dst( } break; case 6: { constexpr int c_ncols_dst = 6; - std::pair dims = calc_launch_params(c_ncols_dst, nrows_x, nchannels_dst, nsamples_dst, warp_size, table_id); + std::pair dims = calc_launch_params(c_ncols_dst, nrows_x, nchannels_dst, nsamples_dst, warp_size, table_id); mul_mat_vec_q_switch_fusion(vx, vy, ids, fusion, dst, ncols_x, nchannels_y_fd, stride_row_x, stride_col_y, stride_col_dst, channel_ratio_fd, stride_channel_x, stride_channel_y, stride_channel_dst, sample_ratio_fd, stride_sample_x, stride_sample_y, stride_sample_dst, @@ -479,7 +536,7 @@ static void mul_mat_vec_q_switch_ncols_dst( } break; case 7: { constexpr int c_ncols_dst = 7; - std::pair dims = calc_launch_params(c_ncols_dst, nrows_x, nchannels_dst, nsamples_dst, warp_size, table_id); + std::pair dims = calc_launch_params(c_ncols_dst, nrows_x, nchannels_dst, nsamples_dst, warp_size, table_id); mul_mat_vec_q_switch_fusion(vx, vy, ids, fusion, dst, ncols_x, nchannels_y_fd, stride_row_x, stride_col_y, stride_col_dst, channel_ratio_fd, stride_channel_x, stride_channel_y, stride_channel_dst, sample_ratio_fd, stride_sample_x, stride_sample_y, stride_sample_dst, @@ -487,7 +544,7 @@ static void mul_mat_vec_q_switch_ncols_dst( } break; case 8: { constexpr int c_ncols_dst = 8; - std::pair dims = calc_launch_params(c_ncols_dst, nrows_x, nchannels_dst, nsamples_dst, warp_size, table_id); + std::pair dims = calc_launch_params(c_ncols_dst, nrows_x, nchannels_dst, nsamples_dst, warp_size, table_id); mul_mat_vec_q_switch_fusion(vx, vy, ids, fusion, dst, ncols_x, nchannels_y_fd, stride_row_x, stride_col_y, stride_col_dst, channel_ratio_fd, stride_channel_x, stride_channel_y, stride_channel_dst, sample_ratio_fd, stride_sample_x, stride_sample_y, stride_sample_dst, diff --git a/ggml/src/ggml-cuda/ssm-conv.cu b/ggml/src/ggml-cuda/ssm-conv.cu index 85e82b5a42..69985cd335 100644 --- a/ggml/src/ggml-cuda/ssm-conv.cu +++ b/ggml/src/ggml-cuda/ssm-conv.cu @@ -76,7 +76,7 @@ static __global__ void ssm_conv_long_token_f32(const float * __restrict__ src0, int row = tid / load_cols; int col = tid % load_cols; #pragma unroll - for (int idx = tid; idx < total_elems; idx += split_d_inner) { + for (int idx = 0; idx < total_elems; idx += split_d_inner) { if (row < (int)split_d_inner) { smem[row * n_cols + col] = x_block[row * stride_x + col]; } @@ -84,6 +84,9 @@ static __global__ void ssm_conv_long_token_f32(const float * __restrict__ src0, col += split_d_inner; row += col / load_cols; col = col % load_cols; + if (idx >= total_elems - tid - split_d_inner) { + break; + } } __syncthreads(); diff --git a/ggml/src/ggml-cuda/vendors/hip.h b/ggml/src/ggml-cuda/vendors/hip.h index 5cc1b54319..35d1e1a063 100644 --- a/ggml/src/ggml-cuda/vendors/hip.h +++ b/ggml/src/ggml-cuda/vendors/hip.h @@ -207,6 +207,14 @@ #define RDNA3 #endif // defined(__GFX11__) +#if defined(__gfx1150__) || defined(__gfx1151__) +#define RDNA3_5 +#endif // defined(__gfx1150__) || defined(__gfx1151__) + +#if defined(RDNA3) && !defined(RDNA3_5) +#define RDNA3_0 +#endif // defined(RDNA3) && !defined(RDNA3_5) + #if defined(__gfx1030__) || defined(__gfx1031__) || defined(__gfx1032__) || defined(__gfx1033__) || \ defined(__gfx1034__) || defined(__gfx1035__) || defined(__gfx1036__) || defined(__gfx1037__) #define RDNA2 diff --git a/ggml/src/ggml-hexagon/ggml-hexagon.cpp b/ggml/src/ggml-hexagon/ggml-hexagon.cpp index d6e9776b87..8bcf5291c1 100644 --- a/ggml/src/ggml-hexagon/ggml-hexagon.cpp +++ b/ggml/src/ggml-hexagon/ggml-hexagon.cpp @@ -45,6 +45,7 @@ static int opt_verbose = 0; static int opt_profile = 0; static int opt_hostbuf = 1; // hostbuf ON by default static int opt_experimental = 0; +static int opt_use_hmx = 1; // when set, enable HMX; when 0, use HVX only // Enable all stages by default static int opt_opmask = HTP_OPMASK_QUEUE | HTP_OPMASK_QUANTIZE | HTP_OPMASK_COMPUTE; @@ -402,6 +403,7 @@ static void pack_q4_0_quants(block_q4_0 * x, const uint8_t * qs, unsigned int bi static void repack_row_q4x4x2(uint8_t * y, const block_q4_0 * x, int64_t k) { static const int qk = QK_Q4_0x4x2; const int nb = (k + qk - 1) / qk; // number of blocks (padded) + const int nloe = k % qk; // leftovers const int dblk_size = 8 * 2; // 8x __fp16 const int qblk_size = qk / 2; // int4 @@ -435,9 +437,11 @@ static void repack_row_q4x4x2(uint8_t * y, const block_q4_0 * x, int64_t k) { unpack_q4_0_quants(qs, &x[i * 8 + 6], 6); unpack_q4_0_quants(qs, &x[i * 8 + 7], 7); + bool partial = (nloe && i == nb-1); + uint8_t * q = y_q + (i * qblk_size); for (int j = 0; j < qk / 2; j++) { - q[j] = (qs[j + 128] << 4) | qs[j]; + q[j] = partial ? (qs[j*2+1] << 4) | qs[j*2+0] : (qs[j+128] << 4) | qs[j+000]; } } @@ -467,6 +471,7 @@ static void repack_row_q4x4x2(uint8_t * y, const block_q4_0 * x, int64_t k) { static void unpack_row_q4x4x2(block_q4_0 * x, const uint8_t * y, int64_t k) { static const int qk = QK_Q4_0x4x2; const int nb = (k + qk - 1) / qk; // number of blocks (padded) + const int nloe = k % qk; // leftovers const int dblk_size = 8 * 2; // 8x __fp16 const int qblk_size = qk / 2; // int4 @@ -485,10 +490,17 @@ static void unpack_row_q4x4x2(block_q4_0 * x, const uint8_t * y, int64_t k) { for (int i = 0; i < nb; i++) { uint8_t qs[QK_Q4_0x4x2]; // unpacked quants + bool partial = (nloe && i == nb-1); + const uint8_t * q = y_q + (i * qblk_size); for (int j = 0; j < qk / 2; j++) { - qs[j] = q[j] & 0xf; - qs[j + 128] = q[j] >> 4; + if (partial) { + qs[j*2+0] = q[j] & 0xf; + qs[j*2+1] = q[j] >> 4; + } else { + qs[j+000] = q[j] & 0xf; + qs[j+128] = q[j] >> 4; + } } pack_q4_0_quants(&x[i * 8 + 0], qs, 0); @@ -1078,6 +1090,7 @@ static void pack_mxfp4_quants(block_mxfp4 * x, const uint8_t * qs, unsigned int static void repack_row_mxfp4x4x2(uint8_t * y, const block_mxfp4 * x, int64_t k) { static const int qk = QK_MXFP4x4x2; const int nb = (k + qk - 1) / qk; // number of blocks (padded) + const int nloe = k % qk; // leftovers const int eblk_size = 8 * 1; // 8x E8M0 const int qblk_size = qk / 2; // int4 @@ -1112,9 +1125,11 @@ static void repack_row_mxfp4x4x2(uint8_t * y, const block_mxfp4 * x, int64_t k) unpack_mxfp4_quants(qs, &x[i * 8 + 6], 6); unpack_mxfp4_quants(qs, &x[i * 8 + 7], 7); + bool partial = (nloe && i == nb-1); + uint8_t * q = y_q + (i * qblk_size); for (int j = 0; j < qk / 2; j++) { - q[j] = (qs[j + 128] << 4) | qs[j]; + q[j] = partial ? (qs[j*2+1] << 4) | qs[j*2+0] : (qs[j+128] << 4) | qs[j+000]; } } @@ -1144,6 +1159,7 @@ static void repack_row_mxfp4x4x2(uint8_t * y, const block_mxfp4 * x, int64_t k) static void unpack_row_mxfp4x4x2(block_mxfp4 * x, const uint8_t * y, int64_t k) { static const int qk = QK_MXFP4x4x2; const int nb = (k + qk - 1) / qk; // number of blocks (padded) + const int nloe = k % qk; // leftovers const int eblk_size = 8 * 1; // 8x E8M0 const int qblk_size = qk / 2; // int4 @@ -1162,10 +1178,17 @@ static void unpack_row_mxfp4x4x2(block_mxfp4 * x, const uint8_t * y, int64_t k) for (int i = 0; i < nb; i++) { uint8_t qs[QK_MXFP4x4x2]; // unpacked quants + bool partial = (nloe && i == nb-1); + const uint8_t * q = y_q + (i * qblk_size); for (int j = 0; j < qk / 2; j++) { - qs[j] = q[j] & 0xf; - qs[j + 128] = q[j] >> 4; + if (partial) { + qs[j*2+0] = q[j] & 0xf; + qs[j*2+1] = q[j] >> 4; + } else { + qs[j+000] = q[j] & 0xf; + qs[j+128] = q[j] >> 4; + } } pack_mxfp4_quants(&x[i * 8 + 0], qs, 0); @@ -1671,7 +1694,7 @@ void ggml_hexagon_session::allocate(int dev_id) noexcept(false) { // Start the DSP-side service. We need to pass the queue ID to the // DSP in a FastRPC call; the DSP side will import the queue and start // listening for packets in a callback. - err = htp_iface_start(this->handle, dev_id, this->queue_id, opt_nhvx); + err = htp_iface_start(this->handle, dev_id, this->queue_id, opt_nhvx, opt_use_hmx); if (err != 0) { GGML_LOG_ERROR("ggml-hex: failed to start session: 0x%08x\n", (unsigned) err); throw std::runtime_error("ggml-hex: iface start failed (see log for details)"); @@ -1801,12 +1824,12 @@ static bool ggml_hexagon_supported_mul_mat(const struct ggml_hexagon_session * s return false; } - if (src0->ne[1] > 16 * 1024) { + if (ggml_nrows(src0) > 16 * 1024) { return false; // typically the lm-head which would be too large for VTCM } - if ((src1->ne[2] != 1 || src1->ne[3] != 1)) { - return false; + if (ggml_nrows(src1) > 1024 || src1->ne[2] != 1 || src1->ne[3] != 1) { + return false; // no huge batches or broadcasting (for now) } // src0 (weights) must be repacked @@ -1820,6 +1843,9 @@ static bool ggml_hexagon_supported_mul_mat(const struct ggml_hexagon_session * s GGML_LOG_DEBUG("ggml_hexagon_supported_mul_mat: permuted F16 src0 not supported\n"); return false; } + if (ggml_nrows(src1) > 1024) { + return false; // no huge batches (for now) + } break; default: @@ -2337,6 +2363,27 @@ static inline size_t init_cpy_req(htp_general_req * req, dspqueue_buffer * bufs, return n_bufs; } +static inline size_t init_cont_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) { + // CONT is just a contiguous copy — reuse CPY op + req->op = HTP_OP_CPY; + + size_t n_bufs = 0; + n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ); + n_bufs += htp_req_buff_init(&req->dst, &bufs[n_bufs], t, DSPQBUF_TYPE_DSP_WRITE_CPU_READ); + + return n_bufs; +} + +static inline size_t init_repeat_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) { + req->op = HTP_OP_REPEAT; + + size_t n_bufs = 0; + n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ); + n_bufs += htp_req_buff_init(&req->dst, &bufs[n_bufs], t, DSPQBUF_TYPE_DSP_WRITE_CPU_READ); + + return n_bufs; +} + static inline size_t init_get_rows_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) { req->op = HTP_OP_GET_ROWS; @@ -2424,12 +2471,33 @@ static inline size_t init_unary_req(htp_general_req * req, dspqueue_buffer * buf break; case GGML_OP_UNARY: - if (ggml_get_unary_op(t) == GGML_UNARY_OP_SILU) { + switch (ggml_get_unary_op(t)) { + case GGML_UNARY_OP_SILU: req->op = HTP_OP_UNARY_SILU; supported = true; - } else if (ggml_get_unary_op(t) == GGML_UNARY_OP_GELU) { + break; + case GGML_UNARY_OP_GELU: req->op = HTP_OP_UNARY_GELU; supported = true; + break; + case GGML_UNARY_OP_SIGMOID: + req->op = HTP_OP_UNARY_SIGMOID; + supported = true; + break; + case GGML_UNARY_OP_NEG: + req->op = HTP_OP_UNARY_NEG; + supported = true; + break; + case GGML_UNARY_OP_EXP: + req->op = HTP_OP_UNARY_EXP; + supported = true; + break; + case GGML_UNARY_OP_SOFTPLUS: + req->op = HTP_OP_UNARY_SOFTPLUS; + supported = true; + break; + default: + break; } break; @@ -2615,16 +2683,28 @@ static ggml_status ggml_backend_hexagon_graph_compute(ggml_backend_t backend, gg ggml_hexagon_dispatch_op(sess, node, flags); break; case GGML_OP_UNARY: - if ((ggml_get_unary_op(node) == GGML_UNARY_OP_SILU) || - (ggml_get_unary_op(node) == GGML_UNARY_OP_GELU)) { - ggml_hexagon_dispatch_op(sess, node, flags); + switch (ggml_get_unary_op(node)) { + case GGML_UNARY_OP_NEG: + case GGML_UNARY_OP_EXP: + case GGML_UNARY_OP_SIGMOID: + case GGML_UNARY_OP_SOFTPLUS: + case GGML_UNARY_OP_SILU: + case GGML_UNARY_OP_GELU: + ggml_hexagon_dispatch_op(sess, node, flags); + break; + default: + break; } break; case GGML_OP_GLU: - if ((ggml_get_glu_op(node) == GGML_GLU_OP_SWIGLU) || - (ggml_get_glu_op(node) == GGML_GLU_OP_SWIGLU_OAI) || - (ggml_get_glu_op(node) == GGML_GLU_OP_GEGLU)) { - ggml_hexagon_dispatch_op(sess, node, flags); + switch (ggml_get_glu_op(node)) { + case GGML_GLU_OP_SWIGLU: + case GGML_GLU_OP_SWIGLU_OAI: + case GGML_GLU_OP_GEGLU: + ggml_hexagon_dispatch_op(sess, node, flags); + break; + default: + break; } break; case GGML_OP_SOFT_MAX: @@ -2651,6 +2731,14 @@ static ggml_status ggml_backend_hexagon_graph_compute(ggml_backend_t backend, gg ggml_hexagon_dispatch_op(sess, node, flags); break; + case GGML_OP_CONT: + ggml_hexagon_dispatch_op(sess, node, flags); + break; + + case GGML_OP_REPEAT: + ggml_hexagon_dispatch_op(sess, node, flags); + break; + case GGML_OP_ARGSORT: ggml_hexagon_dispatch_op(sess, node, flags); break; @@ -2981,6 +3069,39 @@ static bool ggml_hexagon_supported_cpy(const struct ggml_hexagon_session * sess, return true; } +static bool ggml_hexagon_supported_cont(const struct ggml_hexagon_session * sess, const struct ggml_tensor * op) { + GGML_UNUSED(sess); + const struct ggml_tensor * src0 = op->src[0]; + + // CONT is same-type only, supports f32 and f16 + if (src0->type != GGML_TYPE_F32 && src0->type != GGML_TYPE_F16) return false; + + return true; +} + +static bool ggml_hexagon_supported_repeat(const struct ggml_hexagon_session * sess, const struct ggml_tensor * op) { + GGML_UNUSED(sess); + const struct ggml_tensor * src0 = op->src[0]; + const struct ggml_tensor * dst = op; + + // Support f32 and f16 + if (src0->type != GGML_TYPE_F32 && src0->type != GGML_TYPE_F16) return false; + + // src and dst must be the same type + if (src0->type != dst->type) return false; + + // dst dims must be multiples of src dims + if (dst->ne[0] % src0->ne[0] != 0) return false; + if (dst->ne[1] % src0->ne[1] != 0) return false; + if (dst->ne[2] % src0->ne[2] != 0) return false; + if (dst->ne[3] % src0->ne[3] != 0) return false; + + // require contiguous tensors (no transposition) + if (ggml_is_transposed(src0) || ggml_is_transposed(dst)) return false; + + return true; +} + static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, const struct ggml_tensor * op) { auto sess = static_cast(dev->context); @@ -3038,21 +3159,32 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons break; case GGML_OP_UNARY: - { - const auto unary_op = ggml_get_unary_op(op); - if (unary_op == GGML_UNARY_OP_SILU || unary_op == GGML_UNARY_OP_GELU) { + switch (ggml_get_unary_op(op)) { + case GGML_UNARY_OP_NEG: + case GGML_UNARY_OP_EXP: + case GGML_UNARY_OP_SIGMOID: + case GGML_UNARY_OP_SOFTPLUS: + supp = ggml_hexagon_supported_unary(sess, op); + break; + case GGML_UNARY_OP_SILU: + case GGML_UNARY_OP_GELU: supp = ggml_hexagon_supported_activations(sess, op); - } - break; + break; + default: + break; } + break; case GGML_OP_GLU: - { - const auto glu_op = ggml_get_glu_op(op); - if ((glu_op == GGML_GLU_OP_SWIGLU) || (glu_op == GGML_GLU_OP_SWIGLU_OAI) || (glu_op == GGML_GLU_OP_GEGLU)) { + switch (ggml_get_glu_op(op)) { + case GGML_GLU_OP_SWIGLU: + case GGML_GLU_OP_SWIGLU_OAI: + case GGML_GLU_OP_GEGLU: supp = ggml_hexagon_supported_activations(sess, op); - } - break; + break; + default: + break; } + break; case GGML_OP_ROPE: supp = ggml_hexagon_supported_rope(sess, op); break; @@ -3073,6 +3205,14 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons supp = ggml_hexagon_supported_cpy(sess, op); break; + case GGML_OP_CONT: + supp = ggml_hexagon_supported_cont(sess, op); + break; + + case GGML_OP_REPEAT: + supp = ggml_hexagon_supported_repeat(sess, op); + break; + case GGML_OP_ARGSORT: supp = ggml_hexagon_supported_argsort(sess, op); break; @@ -3233,6 +3373,7 @@ static void ggml_hexagon_init(ggml_backend_reg * reg) { const char * str_profile = getenv("GGML_HEXAGON_PROFILE"); const char * str_etm = getenv("GGML_HEXAGON_ETM"); const char * str_nhvx = getenv("GGML_HEXAGON_NHVX"); + const char * str_use_hmx = getenv("GGML_HEXAGON_USE_HMX"); const char * str_ndev = getenv("GGML_HEXAGON_NDEV"); const char * str_arch = getenv("GGML_HEXAGON_ARCH"); @@ -3242,8 +3383,9 @@ static void ggml_hexagon_init(ggml_backend_reg * reg) { opt_opmask = str_opmask ? strtoul(str_opmask, NULL, 0) : opt_opmask; opt_opsync = str_opsync ? atoi(str_opsync) : 0; opt_profile = str_profile ? atoi(str_profile) : 0; - opt_etm = str_etm ? atoi(str_etm) : 0; + opt_etm = str_etm ? atoi(str_etm) : 0; opt_nhvx = str_nhvx ? strtoul(str_nhvx, NULL, 0) : opt_nhvx; + opt_use_hmx = str_use_hmx ? atoi(str_use_hmx) : opt_use_hmx; opt_ndev = str_ndev ? strtoul(str_ndev, NULL, 0) : opt_ndev; if (opt_ndev > GGML_HEXAGON_MAX_SESSIONS) { diff --git a/ggml/src/ggml-hexagon/htp/CMakeLists.txt b/ggml/src/ggml-hexagon/htp/CMakeLists.txt index 02d07a503d..6ddfe4252f 100644 --- a/ggml/src/ggml-hexagon/htp/CMakeLists.txt +++ b/ggml/src/ggml-hexagon/htp/CMakeLists.txt @@ -30,6 +30,7 @@ add_library(${HTP_LIB} SHARED set-rows-ops.c get-rows-ops.c cpy-ops.c + repeat-ops.c argsort-ops.c ssm-conv.c ) @@ -39,6 +40,24 @@ target_compile_definitions(${HTP_LIB} PRIVATE $,FARF_HIGH=1,> FP32_QUANTIZE_GROUP_SIZE=${GGML_HEXAGON_FP32_QUANTIZE_GROUP_SIZE}) +# HMX acceleration: available on v73+ architectures +set(HTP_HMX_VERSIONS v73 v75 v79 v81) +list(FIND HTP_HMX_VERSIONS ${DSP_VERSION} _hmx_idx) + +if (_hmx_idx GREATER_EQUAL 0) + target_sources(${HTP_LIB} PRIVATE + hmx-matmul-ops.c + ) + + # -mhmx enables HMX instruction set (needed by files that include hmx-utils.h) + set_source_files_properties( + hmx-matmul-ops.c + PROPERTIES COMPILE_OPTIONS "-mhmx" + ) + + target_compile_definitions(${HTP_LIB} PRIVATE HTP_HAS_HMX=1) +endif() + build_idl(htp_iface.idl ${HTP_LIB}) set_target_properties(${HTP_LIB} PROPERTIES EXPORT_COMPILE_COMMANDS ON) diff --git a/ggml/src/ggml-hexagon/htp/hex-dma.h b/ggml/src/ggml-hexagon/htp/hex-dma.h index 350ab9d966..9811a07599 100644 --- a/ggml/src/ggml-hexagon/htp/hex-dma.h +++ b/ggml/src/ggml-hexagon/htp/hex-dma.h @@ -175,6 +175,86 @@ static inline uint32_t dma_queue_capacity(dma_queue * q) { return q->capacity; } +// --------------------------------------------------------------------------- +// Overflow-safe DMA push: all UDMA type1 descriptor fields (roiwidth, +// roiheight, srcstride, dststride) are 16-bit, max 65535. This helper +// transparently handles values that exceed the 16-bit limit and submits +// chained DMA transtions. +// +// Case 1 (fast path): all params fit in 16 bits -> direct dma_queue_push. +// Case 2 (contiguous block): width == srcstride == dststride. Reshape the +// flat transfer into a 2D descriptor with sub_width <= 65535. Produces a +// single descriptor, preserving async DMA behavior. +// Case 3 (stride overflow): srcstride or dststride > 65535. Issue rows +// one at a time. The first N-1 rows are pushed+popped synchronously; +// the last row is left async so the caller can pop it. +// --------------------------------------------------------------------------- +#define UDMA_MAX_FIELD_VAL 65535u + +static inline bool dma_queue_push_chained(dma_queue *q, dma_ptr dptr, size_t dst_stride, size_t src_stride, size_t width, size_t nrows) { + // Fast path: everything fits in 16 bits. + if (__builtin_expect( + width <= UDMA_MAX_FIELD_VAL && + nrows <= UDMA_MAX_FIELD_VAL && + src_stride <= UDMA_MAX_FIELD_VAL && + dst_stride <= UDMA_MAX_FIELD_VAL, 1)) { + return dma_queue_push(q, dptr, dst_stride, src_stride, width, nrows); + } + + // Case 2: contiguous block (width == src_stride == dst_stride). + // Reshape total bytes into sub_width * sub_nrows where sub_width <= 65535. + if (width == src_stride && width == dst_stride) { + size_t total = width * nrows; + + // Pick the largest 128-byte-aligned sub_width that divides total evenly. + size_t sub_width = UDMA_MAX_FIELD_VAL & ~(size_t)127; // 65408 + while (sub_width > 0 && total % sub_width != 0) { + sub_width -= 128; + } + if (sub_width == 0) { + // Fallback: use original width (must fit) with adjusted nrows. + // This shouldn't happen for 128-aligned DMA sizes. + sub_width = width; + } + size_t sub_nrows = total / sub_width; + + // Handle sub_nrows > 65535 by issuing chunked descriptors. + const uint8_t *src = (const uint8_t *)dptr.src; + uint8_t *dst = (uint8_t *)dptr.dst; + size_t rows_done = 0; + while (rows_done < sub_nrows) { + size_t chunk = sub_nrows - rows_done; + if (chunk > UDMA_MAX_FIELD_VAL) chunk = UDMA_MAX_FIELD_VAL; + + dma_ptr p = dma_make_ptr(dst + rows_done * sub_width, src + rows_done * sub_width); + if (!dma_queue_push(q, p, sub_width, sub_width, sub_width, chunk)) + return false; + + rows_done += chunk; + // Complete all chunks without waiting except the last one, so the + // caller's single dma_queue_pop drains the final descriptor. + if (rows_done < sub_nrows) + dma_queue_pop_nowait(q); + } + return true; + } + + // Case 3: stride overflow — fall back to row-by-row. + { + const uint8_t *src = (const uint8_t *)dptr.src; + uint8_t *dst = (uint8_t *)dptr.dst; + for (size_t r = 0; r < nrows; ++r) { + dma_ptr p = dma_make_ptr(dst + r * dst_stride, + src + r * src_stride); + if (!dma_queue_push(q, p, 0, 0, width, 1)) + return false; + if (r + 1 < nrows) + dma_queue_pop_nowait(q); + } + return true; + } +} + #ifdef __cplusplus } // extern "C" #endif diff --git a/ggml/src/ggml-hexagon/htp/hex-utils.h b/ggml/src/ggml-hexagon/htp/hex-utils.h index fb8a25a3f2..8ed1456bc5 100644 --- a/ggml/src/ggml-hexagon/htp/hex-utils.h +++ b/ggml/src/ggml-hexagon/htp/hex-utils.h @@ -29,10 +29,22 @@ static inline uint64_t hex_get_pktcnt() { return pktcnt; } -static inline int32_t hex_is_aligned(void * addr, uint32_t align) { +static inline size_t hmx_ceil_div(size_t num, size_t den) { + return (num + den - 1) / den; +} + +static inline int32_t hex_is_aligned(const void * addr, uint32_t align) { return ((size_t) addr & (align - 1)) == 0; } +static inline size_t hex_align_up(size_t v, size_t align) { + return hmx_ceil_div(v, align) * align; +} + +static inline size_t hex_align_down(size_t v, size_t align) { + return (v / align) * align; +} + static inline int32_t hex_is_one_chunk(void * addr, uint32_t n, uint32_t chunk_size) { uint32_t left_off = (size_t) addr & (chunk_size - 1); uint32_t right_off = left_off + n; @@ -43,6 +55,14 @@ static inline uint32_t hex_round_up(uint32_t n, uint32_t m) { return m * ((n + m - 1) / m); } +static inline size_t hex_smin(size_t a, size_t b) { + return a < b ? a : b; +} + +static inline size_t hex_smax(size_t a, size_t b) { + return a > b ? a : b; +} + static inline void hex_l2fetch(const void * p, uint32_t width, uint32_t stride, uint32_t height) { const uint64_t control = Q6_P_combine_RR(stride, Q6_R_combine_RlRl(width, height)); Q6_l2fetch_AP((void *) p, control); diff --git a/ggml/src/ggml-hexagon/htp/hmx-matmul-ops.c b/ggml/src/ggml-hexagon/htp/hmx-matmul-ops.c new file mode 100644 index 0000000000..c703a04942 --- /dev/null +++ b/ggml/src/ggml-hexagon/htp/hmx-matmul-ops.c @@ -0,0 +1,1528 @@ +#pragma clang diagnostic ignored "-Wgnu-zero-variadic-macro-arguments" +#pragma clang diagnostic ignored "-Wunused-function" +#pragma clang diagnostic ignored "-Wunused-variable" +#pragma clang diagnostic ignored "-Wunused-but-set-variable" + +#include +#include +#include +#include +#include + +#include +#include + +#define GGML_COMMON_DECL_C +#include "ggml-common.h" + +#include "hex-dma.h" +#include "hvx-utils.h" +#include "hvx-dump.h" +#include "worker-pool.h" +#include "htp-ctx.h" +#include "htp-msg.h" + +#include "hmx-utils.h" +#include "hmx-ops.h" +#include "hmx-profile.h" + +static const __fp16 q4_0_to_fp16_lut[64] __attribute__((aligned(VLEN))) = { + -8, 0, -7, 0, -6, 0, -5, 0, -4, 0, -3, 0, -2, 0, -1, 0, 0, 0, 1, 0, 2, 0, 3, 0, 4, 0, 5, 0, 6, 0, 7, 0, +}; + +static const __fp16 iq4_nl_to_fp16_lut[64] __attribute__((aligned(VLEN))) = { + -127, 0, -104, 0, -83, 0, -65, 0, -49, 0, -35, 0, -22, 0, -10, 0, + 1, 0, 13, 0, 25, 0, 38, 0, 53, 0, 69, 0, 89, 0, 113, 0, +}; + +// vscatter offsets for fused dequant+transpose: write K-values directly to [K][N] tile. +// word[i] = i*128 maps K-row-pair i to byte offset i*128 in the tile. +// Column offset (n*4) is added at runtime. Only entries 0..15 are used (masked by predicate). +static const int32_t weight_transpose_scatter_offsets[32] __attribute__((aligned(VLEN))) = { + 0*128, 1*128, 2*128, 3*128, 4*128, 5*128, 6*128, 7*128, + 8*128, 9*128, 10*128, 11*128, 12*128, 13*128, 14*128, 15*128, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, +}; + +// Scales per x4x2 logical block: 8 × sizeof(__fp16) = 16 bytes +#define HMX_X4X2_SCALES_PER_BLK 8 +#define HMX_X4X2_DBLK_SIZE 16 // 8 * 2 bytes + +static inline void swap_ptr(void **p1, void **p2) { + void *t = *p1; + *p1 = *p2; + *p2 = t; +} + +typedef struct { + uint8_t *dst; + const uint8_t *src; + dma_queue *dma; + size_t n_rows; + size_t src_stride; // DDR row stride (full row_stride) + size_t dst_stride; // VTCM sub-block row stride + size_t quant_off; // quant byte offset in each DDR row + size_t quant_width; // quant bytes to copy per row + size_t scale_off; // scale byte offset in each DDR row + size_t scale_width; // scale bytes to copy per row +} qweight_fetch_task_state_t; + +// Compute the byte stride of one row in x4x2 format. +// Numerically equals ggml_row_size(type, k) when k is 256-aligned, because +// x4x2 packing has the same density as block_q4_0 / block_q8_0. +// Layout per row: [quants: nb*128 (Q4) or nb*256 (Q8)][scales: nb*16 bytes] +// Total per row = nb * (128+16) = 144*nb (Q4) or nb * (256+16) = 272*nb (Q8). +// Callers must ensure k is a multiple of 256 (enforced by proc_hmx_matmul_req). +static inline size_t get_x4x2_row_stride(int weight_type, int k) { + int nb = (k + QK_Q4_0x4x2 - 1) / QK_Q4_0x4x2; + switch (weight_type) { + case HTP_TYPE_Q4_0: + case HTP_TYPE_IQ4_NL: + return (size_t)nb * (QK_Q4_0x4x2 / 2 + HMX_X4X2_DBLK_SIZE); // 144 * nb + case HTP_TYPE_Q8_0: + return (size_t)nb * (QK_Q8_0x4x2 + HMX_X4X2_DBLK_SIZE); // 272 * nb + default: + return 0; + } +} + +// --- Overflow-safe arithmetic for VTCM budget calculation --- + +static inline bool hmx_mul_overflow(size_t a, size_t b, size_t *out) { + if (a != 0 && b > SIZE_MAX / a) return true; + *out = a * b; + return false; +} + +static inline bool hmx_add_overflow(size_t a, size_t b, size_t *out) { + if (a > SIZE_MAX - b) return true; + *out = a + b; + return false; +} + +// Search for optimal (mc, nc) chunk sizes that maximize mc * nc within VTCM budget. +// +// Cost model: total = nc * per_n_cost + mc * per_m_cost + mc * nc * per_mn_cost + overhead +// per_n_cost: bytes per nc column (weight + scratch buffers) +// per_m_cost: bytes per mc row (activation) +// per_mn_cost: bytes per mc*nc element (output) +// overhead: fixed bytes (scales 256B, eye_tile 2048B, etc.) +// +// Algorithm: nc sweeps from n_max down by 32, analytically solving for mc_max. +// Returns 0 on success, -1 if VTCM is insufficient. +static int hmx_compute_chunks( + size_t vtcm_total, size_t overhead, + size_t per_n_cost, size_t per_m_cost, size_t per_mn_cost, + int m, int n, + size_t *m_chunk_out, size_t *n_chunk_out, + size_t *total_out) +{ + if (m <= 0 || n <= 0) return -1; + if (vtcm_total <= overhead) return -1; + if (per_n_cost == 0 || per_m_cost == 0 || per_mn_cost == 0) return -1; + + const size_t usable = vtcm_total - overhead; + size_t best_mn = 0, best_m = 0, best_n = 0; + + const size_t n_max = hex_align_down((size_t)n, HMX_FP16_TILE_N_COLS); + for (size_t nc = n_max; nc >= HMX_FP16_TILE_N_COLS; nc -= HMX_FP16_TILE_N_COLS) { + // Early exit: if nc * m_max cannot beat best, smaller nc won't either + if (nc * hex_align_down((size_t)m, HMX_FP16_TILE_N_ROWS) <= best_mn) + break; + + size_t n_fixed = 0, ncmn = 0, mc_denom = 0; + if (hmx_mul_overflow(nc, per_n_cost, &n_fixed)) continue; + if (n_fixed >= usable) goto next_nc; + + if (hmx_mul_overflow(nc, per_mn_cost, &ncmn)) goto next_nc; + if (hmx_add_overflow(per_m_cost, ncmn, &mc_denom) || mc_denom == 0) goto next_nc; + + { + size_t remain = usable - n_fixed; + size_t mc = remain / mc_denom; + mc = hex_align_down(mc, HMX_FP16_TILE_N_ROWS); + mc = hex_smin(mc, (size_t)m); + + if (mc > 0 && mc * nc > best_mn) { + best_mn = mc * nc; + best_m = mc; + best_n = nc; + } + } + +next_nc: + if (nc == HMX_FP16_TILE_N_COLS) break; // avoid size_t underflow + } + + if (best_m == 0 || best_n == 0) return -1; + + // Compute exact total (with overflow checks) + size_t t0 = 0, t1 = 0, t2 = 0, mn = 0, total = 0; + if (hmx_mul_overflow(best_n, per_n_cost, &t0)) return -1; + if (hmx_mul_overflow(best_m, per_m_cost, &t1)) return -1; + if (hmx_mul_overflow(best_m, best_n, &mn)) return -1; + if (hmx_mul_overflow(mn, per_mn_cost, &t2)) return -1; + if (hmx_add_overflow(t0, t1, &total)) return -1; + if (hmx_add_overflow(total, t2, &total)) return -1; + if (hmx_add_overflow(total, overhead, &total)) return -1; + + *m_chunk_out = best_m; + *n_chunk_out = best_n; + *total_out = total; + return 0; +} + +// forward declaration – defined after transfer_activation_chunk_fp32_to_fp16 +void transfer_activation_chunk_threaded(struct htp_context *ctx, __fp16 *dst, const float *src, int n_rows, int k_block, int k_stride); + +// Scatter row-major FP16 weight (already in VTCM scratch) directly into transposed [K][N] tiles. +// vtcm_src: [n_cols][k] row-major fp16 in VTCM scratch buffer +// vtcm_dst: [n_col_tiles][n_k_tiles][HMX_FP16_TILE_N_ELMS] tile-major interleaved fp16 +static void interleave_fp16_weight_chunk_to_tiles(__fp16 *restrict vtcm_dst, + const __fp16 *restrict vtcm_src, + int n_cols, int k) { + assert(n_cols % HMX_FP16_TILE_N_COLS == 0); + assert(k % HMX_FP16_TILE_N_COLS == 0); + + const int n_k_tiles = k / HMX_FP16_TILE_N_COLS; + const HVX_Vector v_scat_base = hvx_vmem(weight_transpose_scatter_offsets); + const HVX_Vector v_scat_step = Q6_V_vsplat_R(4); + const HVX_VectorPred q_mask64 = Q6_Q_vsetq_R(64); + + for (int r = 0; r < n_cols; r += 2) { + int ct = r / HMX_FP16_TILE_N_ROWS; // N-dimension tile index + int local_r = r % HMX_FP16_TILE_N_ROWS; // intra-tile row index + const bool next_row_valid = (r + 1) < n_cols; + + // Offset vectors for N-columns local_r and local_r+1, reused across K-tiles. + HVX_Vector v_off0 = Q6_Vw_vadd_VwVw(v_scat_base, Q6_V_vsplat_R(local_r * 4)); + HVX_Vector v_off1 = Q6_Vw_vadd_VwVw(v_off0, v_scat_step); + + for (int c = 0; c < k; c += HMX_FP16_TILE_N_COLS) { + int kt = c / HMX_FP16_TILE_N_COLS; + int tile_idx = ct * n_k_tiles + kt; + __fp16 *tile_base = vtcm_dst + tile_idx * HMX_FP16_TILE_N_ELMS; + + HVX_Vector v0 = hvx_vmemu(vtcm_src + r * k + c); + HVX_Vector v1 = next_row_valid ? hvx_vmemu(vtcm_src + (r + 1) * k + c) : Q6_V_vzero(); + + Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_base, HMX_FP16_TILE_SIZE - 1, v_off0, v0); + Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_base, HMX_FP16_TILE_SIZE - 1, v_off1, v1); + } + } +} + +// --- x4x2 format dequantizers --- + +// Dequantize one x4x2 Q4_0 group (32 elements from 32 packed bytes) -> 32 FP16 in first 64 bytes. +// In x4x2, sub-blocks 0..3 use lower nibbles, sub-blocks 4..7 use upper nibbles +// of the same 32 packed bytes. +static inline HVX_Vector dequantize_x4x2_q4_0_group_hvx( + const uint8_t *packed_32, bool upper_nibbles, + const __fp16 *scale, const HVX_Vector vlut_cvt) { + HVX_Vector vq = hvx_vmemu(packed_32); + const HVX_Vector mask_h4 = Q6_Vb_vsplat_R(0x0F); + HVX_Vector v_scales = hvx_vec_splat_f16(*scale); + // q4x4x2 stores two int4 values per byte. Keep only the selected nibble. + HVX_Vector v_quants = upper_nibbles ? Q6_Vub_vlsr_VubR(vq, 4) : vq; + v_quants = Q6_V_vand_VV(v_quants, mask_h4); + // Shuffle before LUT + v_quants = Q6_Vb_vshuff_Vb(v_quants); + // Use standard vlut16 (not _nomatch) to avoid stale-register NaN. + // _nomatch retains the previous destination-register value for colliding + // indices, but the C intrinsic doesn't model the implicit read so the + // compiler may allocate a register containing garbage/NaN. + HVX_VectorPair vp = Q6_Wh_vlut16_VbVhR(v_quants, vlut_cvt, 0); + HVX_Vector v_hf = Q6_V_lo_W(vp); + + return Q6_Vhf_equals_Vqf16(Q6_Vqf16_vmpy_VhfVhf(v_hf, v_scales)); +} + +// Batch-dequantize 4 contiguous x4x2 Q4_0 groups (4x32 = 128 packed bytes) using +// full HVX vector width. One vmemu + one vlut16 replaces 4 separate calls. +// Output: out[0..3] each hold 32 FP16 values in the first 64 bytes. +static inline void dequantize_x4x2_q4_0_x4groups_hvx( + const uint8_t *packed_128, bool upper_nibbles, + const __fp16 *scales_4, const HVX_Vector vlut_cvt, + HVX_Vector out[4]) { + // Load all 128 packed bytes (4 contiguous 32-byte groups) + HVX_Vector vq = hvx_vmemu(packed_128); + const HVX_Vector mask_h4 = Q6_Vb_vsplat_R(0x0F); + HVX_Vector v_quants = upper_nibbles ? Q6_Vub_vlsr_VubR(vq, 4) : vq; + v_quants = Q6_V_vand_VV(v_quants, mask_h4); + + // Shuffle before LUT + v_quants = Q6_Vb_vshuff_Vb(v_quants); + + // Full-width vlut16: 128 byte lookups -> 128 fp16 results in a VectorPair + HVX_VectorPair vp = Q6_Wh_vlut16_VbVhR(v_quants, vlut_cvt, 0); + HVX_Vector v_lo = Q6_V_lo_W(vp); // [group0: 32 fp16 | group1: 32 fp16] + HVX_Vector v_hi = Q6_V_hi_W(vp); // [group2: 32 fp16 | group3: 32 fp16] + + // Build per-group scale vectors: first 64 bytes use scale_a, last 64 use scale_b + HVX_VectorPred q64 = Q6_Q_vsetq_R(64); + HVX_Vector v_sc01 = Q6_V_vmux_QVV(q64, hvx_vec_splat_f16(scales_4[0]), hvx_vec_splat_f16(scales_4[1])); + HVX_Vector v_sc23 = Q6_V_vmux_QVV(q64, hvx_vec_splat_f16(scales_4[2]), hvx_vec_splat_f16(scales_4[3])); + + v_lo = Q6_Vhf_equals_Vqf16(Q6_Vqf16_vmpy_VhfVhf(v_lo, v_sc01)); + v_hi = Q6_Vhf_equals_Vqf16(Q6_Vqf16_vmpy_VhfVhf(v_hi, v_sc23)); + + // Extract individual groups: scatter uses q_mask64 so only first 64 bytes matter + out[0] = v_lo; // group0 already in [0:63] + out[1] = Q6_V_vror_VR(v_lo, 64); // group1 rotated to [0:63] + out[2] = v_hi; // group2 already in [0:63] + out[3] = Q6_V_vror_VR(v_hi, 64); // group3 rotated to [0:63] +} + +// Dequantize one x4x2 Q8_0 group (32 int8 quants) -> 32 FP16 in first 64 bytes. +static inline HVX_Vector dequantize_x4x2_q8_0_group_hvx( + const int8_t *quants_32, const __fp16 *scale) { + HVX_Vector vq = hvx_vmemu(quants_32); + HVX_Vector v_scales = hvx_vec_splat_f16(*scale); + HVX_Vector v0 = Q6_V_lo_W(Q6_Wh_vunpack_Vb(vq)); + HVX_Vector v_hf = Q6_Vhf_equals_Vh(v0); + return Q6_Vhf_equals_Vqf16(Q6_Vqf16_vmpy_VhfVhf(v_hf, v_scales)); +} + +// Dequantize a tile range from x4x2 weight data (already in VTCM) to tile-major FP16. +// Input: vtcm_src has n_cols rows of x4x2 data, each row_stride bytes. +// Output: vtcm_dst in tile-major FP16 layout. +static void dequantize_x4x2_weight_to_fp16_tiles_task( + __fp16 *restrict vtcm_dst, + const uint8_t *restrict vtcm_src, + int n_cols, int k_block, + size_t row_stride, int weight_type, + int start_tile, int end_tile) { + + const int n_k_tiles = k_block / HMX_FP16_TILE_N_COLS; + const bool is_q4 = (weight_type == HTP_TYPE_Q4_0 || weight_type == HTP_TYPE_IQ4_NL); + const int qrow_size = is_q4 ? (k_block / 2) : k_block; + + const HVX_Vector vlut_cvt = (weight_type == HTP_TYPE_IQ4_NL) + ? hvx_vmem(iq4_nl_to_fp16_lut) : hvx_vmem(q4_0_to_fp16_lut); + + // vscatter setup: write dequantized K-values directly to transposed [K][N] tile positions. + // Each int32 element holds a K-row-pair (2 adjacent fp16 values). word[i] at offset i*128 + // maps to K-rows 2i and 2i+1. Column offset (n*4) added per row. + const HVX_Vector v_scat_base = hvx_vmem(weight_transpose_scatter_offsets); + const HVX_Vector v_scat_step = Q6_V_vsplat_R(4); // 4 bytes = 1 column step + const HVX_VectorPred q_mask64 = Q6_Q_vsetq_R(64); // first 16 words (64 bytes) + + for (int t = start_tile; t < end_tile; ) { + int ct = t / n_k_tiles; // column tile index + int kt = t % n_k_tiles; // K tile index + + // --- Batch-4 fast path for Q4: process 4 contiguous K-tiles with one vlut16 per row --- + if (is_q4 && (kt % 4 == 0) && (t + 4 <= end_tile) && ((t + 3) / n_k_tiles == ct)) { + int blk_idx = (kt * 32) / QK_Q4_0x4x2; + int sub_blk_base = ((kt * 32) % QK_Q4_0x4x2) / 32; // 0 or 4 + bool upper = (sub_blk_base >= 4); + int packed_off = blk_idx * (QK_Q4_0x4x2 / 2); // 128 contiguous packed bytes + int scale_off = qrow_size + blk_idx * HMX_X4X2_DBLK_SIZE + + sub_blk_base * (int)sizeof(__fp16); // 4 consecutive scales + + __fp16 *tile_bases[4]; + for (int g = 0; g < 4; g++) { tile_bases[g] = vtcm_dst + (t + g) * HMX_FP16_TILE_N_ELMS; } + + HVX_Vector v_off = v_scat_base; + for (int r = 0; r < HMX_FP16_TILE_N_ROWS; r += 2) { + int row0 = ct * HMX_FP16_TILE_N_COLS + r; + int row1 = row0 + 1; + const uint8_t *r0 = vtcm_src + row0 * row_stride; + const uint8_t *r1 = vtcm_src + row1 * row_stride; + + HVX_Vector v0[4], v1[4]; + dequantize_x4x2_q4_0_x4groups_hvx(r0 + packed_off, upper, (const __fp16 *)(r0 + scale_off), vlut_cvt, v0); + if (row1 < n_cols) { + dequantize_x4x2_q4_0_x4groups_hvx(r1 + packed_off, upper, (const __fp16 *)(r1 + scale_off), vlut_cvt, v1); + } else { + v1[0] = v1[1] = v1[2] = v1[3] = Q6_V_vzero(); + } + + for (int g = 0; g < 4; g++) { Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_bases[g], HMX_FP16_TILE_SIZE - 1, v_off, v0[g]); } + v_off = Q6_Vw_vadd_VwVw(v_off, v_scat_step); + for (int g = 0; g < 4; g++) { Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_bases[g], HMX_FP16_TILE_SIZE - 1, v_off, v1[g]); } + v_off = Q6_Vw_vadd_VwVw(v_off, v_scat_step); + } + + for (int g = 0; g < 4; g++) { (void) *(volatile HVX_Vector *)(tile_bases[g]); } + + t += 4; + continue; + } + + // --- Single-tile fallback --- + __fp16 *tile_base = vtcm_dst + t * HMX_FP16_TILE_N_ELMS; + + if (is_q4) { + int blk_idx = (kt * 32) / QK_Q4_0x4x2; + int sub_blk = ((kt * 32) % QK_Q4_0x4x2) / 32; + bool upper = (sub_blk >= 4); + int byte_off = blk_idx * (QK_Q4_0x4x2 / 2) + (upper ? (sub_blk - 4) : sub_blk) * 32; + int scale_off = qrow_size + blk_idx * HMX_X4X2_DBLK_SIZE + sub_blk * (int)sizeof(__fp16); + + HVX_Vector v_off = v_scat_base; // reset to column 0 + for (int r = 0; r < HMX_FP16_TILE_N_ROWS; r += 2) { + int row0 = ct * HMX_FP16_TILE_N_COLS + r; + int row1 = row0 + 1; + + const uint8_t *r0 = vtcm_src + row0 * row_stride; + const uint8_t *r1 = vtcm_src + row1 * row_stride; + + HVX_Vector v0 = dequantize_x4x2_q4_0_group_hvx( + r0 + byte_off, upper, (const __fp16 *)(r0 + scale_off), vlut_cvt); + HVX_Vector v1 = (row1 < n_cols) + ? dequantize_x4x2_q4_0_group_hvx( + r1 + byte_off, upper, (const __fp16 *)(r1 + scale_off), vlut_cvt) + : Q6_V_vzero(); + + Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_base, HMX_FP16_TILE_SIZE - 1, v_off, v0); + v_off = Q6_Vw_vadd_VwVw(v_off, v_scat_step); + Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_base, HMX_FP16_TILE_SIZE - 1, v_off, v1); + v_off = Q6_Vw_vadd_VwVw(v_off, v_scat_step); + } + (void) *(volatile HVX_Vector *)(tile_base); + } else { + // Q8_0 + int blk_idx = (kt * 32) / QK_Q8_0x4x2; + int sub_blk = ((kt * 32) % QK_Q8_0x4x2) / 32; + int byte_off = blk_idx * QK_Q8_0x4x2 + sub_blk * 32; + int scale_off = qrow_size + blk_idx * HMX_X4X2_DBLK_SIZE + sub_blk * (int)sizeof(__fp16); + + HVX_Vector v_off = v_scat_base; // reset to column 0 + for (int r = 0; r < HMX_FP16_TILE_N_ROWS; r += 2) { + int row0 = ct * HMX_FP16_TILE_N_COLS + r; + int row1 = row0 + 1; + + const uint8_t *r0 = vtcm_src + row0 * row_stride; + const uint8_t *r1 = vtcm_src + row1 * row_stride; + + HVX_Vector v0 = dequantize_x4x2_q8_0_group_hvx( + (const int8_t *)(r0 + byte_off), (const __fp16 *)(r0 + scale_off)); + HVX_Vector v1 = (row1 < n_cols) + ? dequantize_x4x2_q8_0_group_hvx( + (const int8_t *)(r1 + byte_off), (const __fp16 *)(r1 + scale_off)) + : Q6_V_vzero(); + + Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_base, HMX_FP16_TILE_SIZE - 1, v_off, v0); + v_off = Q6_Vw_vadd_VwVw(v_off, v_scat_step); + Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_base, HMX_FP16_TILE_SIZE - 1, v_off, v1); + v_off = Q6_Vw_vadd_VwVw(v_off, v_scat_step); + } + (void) *(volatile HVX_Vector *)(tile_base); + } + ++t; + } + + // Drain HVX scatter write buffer: a vmem load on the same HW thread retires + // all pending scatter entries to VTCM. Without this, the main thread's HMX + // reads may see stale data because atomic_fetch_sub (release) only orders + // regular stores, not the HVX scatter buffer. + if (start_tile < end_tile) { + (void) *(volatile HVX_Vector *)(vtcm_dst + (end_tile - 1) * HMX_FP16_TILE_N_ELMS); + } +} + +typedef struct { + __fp16 *dst; + const uint8_t *src; + int n_cols; + int k_block; + size_t row_stride; + int weight_type; + int n_tot_tiles; + int n_tiles_per_task; + int n_tasks; +} x4x2_dequantize_state_t; + +static void dequantize_x4x2_worker_loop(unsigned int n, unsigned int i, void *data) { + x4x2_dequantize_state_t *state = (x4x2_dequantize_state_t *)data; + + for (unsigned int task_id = i; task_id < (unsigned int)state->n_tasks; task_id += n) { + int start = task_id * state->n_tiles_per_task; + int end = hex_smin(start + state->n_tiles_per_task, state->n_tot_tiles); + + dequantize_x4x2_weight_to_fp16_tiles_task( + state->dst, state->src, state->n_cols, state->k_block, + state->row_stride, state->weight_type, start, end); + } +} + +static void dequantize_x4x2_weight_chunk_to_fp16_tiles( + struct htp_context *ctx, __fp16 *vtcm_dst, + const void *vtcm_src, int n_cols, int k_block, + size_t row_stride, int weight_type) { + + assert(n_cols % HMX_FP16_TILE_N_COLS == 0); + assert(k_block % HMX_FP16_TILE_N_COLS == 0); + + int n_col_tiles = n_cols / HMX_FP16_TILE_N_COLS; + int n_k_tiles = k_block / HMX_FP16_TILE_N_COLS; + int n_tot_tiles = n_col_tiles * n_k_tiles; + + size_t n_tiles_per_task = hmx_ceil_div(n_tot_tiles, ctx->n_threads); + + x4x2_dequantize_state_t state; + state.n_tasks = (n_tot_tiles + n_tiles_per_task - 1) / n_tiles_per_task; + state.n_tot_tiles = n_tot_tiles; + state.n_tiles_per_task = n_tiles_per_task; + state.dst = vtcm_dst; + state.src = (const uint8_t *)vtcm_src; + state.n_cols = n_cols; + state.k_block = k_block; + state.row_stride = row_stride; + state.weight_type = weight_type; + + worker_pool_run_func(ctx->worker_pool, dequantize_x4x2_worker_loop, &state, ctx->n_threads); +} + +// --- End x4x2 dequantizers --- + +// requires external HMX lock +static void core_dot_chunk_fp16(__fp16 *output, const __fp16 *activation, const __fp16 *weight, const __fp16 *scales, + int n_row_tiles, int n_col_tiles, int n_dot_tiles) { + hmx_set_output_scales(scales); + + for (int r = 0; r < n_row_tiles; ++r) { + for (int c = 0; c < n_col_tiles; ++c) { + Q6_mxclracc_hf(); + + const __fp16 *row_tiles = activation + r * n_dot_tiles * HMX_FP16_TILE_N_ELMS; + const __fp16 *col_tiles = weight + c * n_dot_tiles * HMX_FP16_TILE_N_ELMS; + + for (int k = 0; k < n_dot_tiles; ++k) { + int offset = k * HMX_FP16_TILE_N_ELMS; + hmx_load_tile_pair_fp16(row_tiles + offset, col_tiles + offset); + } + + __fp16 *out_tile = output + (r * n_col_tiles + c) * HMX_FP16_TILE_N_ELMS; + hmx_consume_accumulator_fp16(out_tile); + } + } +} + +static void transfer_output_chunk_fp16_to_fp32(float *restrict dst, const __fp16 *restrict vtcm_src, int n_rows, int n_cols, int n) { + assert(n_cols % HMX_FP16_TILE_N_COLS == 0); + const int n_col_tiles = n_cols / HMX_FP16_TILE_N_COLS; + + const HVX_Vector one = hvx_vec_splat_f16(1.0); + + for (int r = 0; r < n_rows; r += 2) { + int r0 = r / HMX_FP16_TILE_N_ROWS; + int r1 = r % HMX_FP16_TILE_N_ROWS; + + #pragma unroll(4) + for (int c = 0; c < n_cols; c += HMX_FP16_TILE_N_COLS) { + int c0 = c / HMX_FP16_TILE_N_COLS; + + const __fp16 *tile = vtcm_src + (r0 * n_col_tiles + c0) * HMX_FP16_TILE_N_ELMS; + + HVX_Vector v = ((const HVX_Vector *) tile)[r1 / 2]; + HVX_VectorPair vp = Q6_Wqf32_vmpy_VhfVhf(v, one); + + volatile HVX_Vector *pv_out0 = (volatile HVX_Vector *) (dst + (r * n + c + 0)); + volatile HVX_Vector *pv_out1 = (volatile HVX_Vector *) (dst + (r * n + c + n)); // next row in global memory + + *pv_out0 = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(vp)); + if (r + 1 < n_rows) { + *pv_out1 = Q6_Vsf_equals_Vqf32(Q6_V_hi_W(vp)); + } + } + } +} + +typedef struct { + const __fp16 *vtcm_src; + float *dst; + int n_tasks; + int n_tot_chunks; + int n_chunks_per_task; + int n_cols; + int n; // DDR row stride (total output columns) +} output_transfer_task_state_t; + +static void transfer_output_chunk_worker_fn(unsigned int n, unsigned int i, void *data) { + output_transfer_task_state_t *st = (output_transfer_task_state_t *) data; + + for (unsigned int task_id = i; task_id < (unsigned int)st->n_tasks; task_id += n) { + int chunk_idx = task_id * st->n_chunks_per_task; + size_t chunk_size = hex_smin(st->n_tot_chunks - chunk_idx, st->n_chunks_per_task); + + float *dst = st->dst + chunk_idx * st->n; + const __fp16 *vtcm_src = st->vtcm_src + chunk_idx * st->n_cols; + transfer_output_chunk_fp16_to_fp32(dst, vtcm_src, chunk_size, st->n_cols, st->n); + } +} + +static void transfer_output_chunk_threaded(struct htp_context *ctx, float *dst, const __fp16 *vtcm_src, + int n_rows, int n_cols, int n) { + assert(n_cols % HMX_FP16_TILE_N_COLS == 0); + + size_t n_tot_chunks = n_rows; + size_t n_chunks_per_task = 32; // must be multiple of HMX_FP16_TILE_N_ROWS (32) + + output_transfer_task_state_t state; + state.n_tasks = (n_tot_chunks + n_chunks_per_task - 1) / n_chunks_per_task; + state.n_tot_chunks = n_tot_chunks; + state.n_chunks_per_task = n_chunks_per_task; + state.dst = dst; + state.vtcm_src = vtcm_src; + state.n_cols = n_cols; + state.n = n; + + worker_pool_run_func(ctx->worker_pool, transfer_output_chunk_worker_fn, &state, ctx->n_threads); +} + +static inline int hmx_matmul_batch_r2(const hmx_matmul_w16a32_batched_params_t *params) { + return params->ne02 > 0 ? params->ne12 / params->ne02 : 1; +} + +static inline int hmx_matmul_batch_r3(const hmx_matmul_w16a32_batched_params_t *params) { + return params->ne03 > 0 ? params->ne13 / params->ne03 : 1; +} + +static inline const __fp16 *hmx_matmul_weight_batch_ptr(const hmx_matmul_w16a32_batched_params_t *params, + int dst_b2, int dst_b3) { + const int r2 = hmx_matmul_batch_r2(params); + const int r3 = hmx_matmul_batch_r3(params); + return (const __fp16 *) ((const uint8_t *) params->permuted_weight + + (size_t) (dst_b2 / r2) * params->src0_nb2 + + (size_t) (dst_b3 / r3) * params->src0_nb3); +} + +static inline const float *hmx_matmul_activation_batch_ptr(const hmx_matmul_w16a32_batched_params_t *params, + int dst_b2, int dst_b3) { + return (const float *) ((const uint8_t *) params->activation + + (size_t) dst_b2 * params->src1_nb2 + + (size_t) dst_b3 * params->src1_nb3); +} + +static inline float *hmx_matmul_dst_batch_ptr(const hmx_matmul_w16a32_batched_params_t *params, + int dst_b2, int dst_b3) { + return (float *) ((uint8_t *) params->dst + + (size_t) dst_b2 * params->dst_nb2 + + (size_t) dst_b3 * params->dst_nb3); +} + +static int hmx_mat_mul_permuted_w16a32_batched_legacy(struct htp_context *ctx, + const hmx_matmul_w16a32_batched_params_t *params) { + int ret = 0; + for (int b3 = 0; b3 < params->ne13 && ret == 0; ++b3) { + for (int b2 = 0; b2 < params->ne12 && ret == 0; ++b2) { + ret = hmx_mat_mul_permuted_w16a32(ctx, + hmx_matmul_dst_batch_ptr(params, b2, b3), + hmx_matmul_activation_batch_ptr(params, b2, b3), + hmx_matmul_weight_batch_ptr(params, b2, b3), + params->m, params->k, params->n, + params->act_stride, params->weight_stride); + } + } + return ret; +} + +int hmx_mat_mul_permuted_w16a32_batched(struct htp_context *ctx, const hmx_matmul_w16a32_batched_params_t *params) { + if (!ctx || !params || !params->dst || !params->activation || !params->permuted_weight) { return -1; } + if (!params->m || !params->k || !params->n) { return -1; } + if (params->act_stride < params->k || params->weight_stride < params->k || params->dst_stride < params->n) { return -1; } + if (params->ne02 <= 0 || params->ne03 <= 0 || params->ne12 <= 0 || params->ne13 <= 0) { return -1; } + if (params->ne12 % params->ne02 != 0 || params->ne13 % params->ne03 != 0) { return -1; } + if (params->k % 32 != 0 || params->n % 32 != 0) { return -1; } + + if (!hex_is_aligned(params->dst, VLEN) || + !hex_is_aligned(params->activation, VLEN) || + !hex_is_aligned(params->permuted_weight, VLEN)) { + return -1; + } + + const int group_size = hmx_matmul_batch_r2(params); + + if (group_size <= 1) { + FARF(MEDIUM, "%s: no dim2 GQA reuse (group=%d), using legacy batched loop", __func__, group_size); + return hmx_mat_mul_permuted_w16a32_batched_legacy(ctx, params); + } + + // Grouped path: reuse interleaved weight across all q_heads sharing a + // kv_head. Each q_head gets its own activation buffer in VTCM (so + // activation is loaded once per m_chunk and reused across all n_chunks), + // and each q_head is computed individually to avoid tile-major packing + // issues. m_chunk_n_rows is always a multiple of 32 (from + // hmx_compute_chunks), so per-head tile arrays don't overlap. + const size_t vtcm_budget = ctx->vtcm_scratch_size; + const size_t vec_dot_size = params->k * sizeof(__fp16); + + // When the activation has a large stride (e.g. permuted Q tensor with + // act_stride >> k), HVX vector loads from strided DDR thrash L2 cache. + // Allocate an F32 scratch buffer in VTCM and use 2D DMA to gather + // strided rows into a contiguous block before the F32->F16 conversion. + const bool use_dma_activation = (params->act_stride > params->k); + const size_t f32_scratch_per_m = use_dma_activation ? (size_t) params->k * sizeof(float) : 0; + + size_t m_chunk_n_rows = 0, n_chunk_n_cols = 0, vtcm_used = 0; + if (hmx_compute_chunks(vtcm_budget, /*overhead=*/256, + /*per_n=*/3 * vec_dot_size, + /*per_m=*/group_size * vec_dot_size + f32_scratch_per_m, + /*per_mn=*/sizeof(__fp16), + params->m, params->n, + &m_chunk_n_rows, &n_chunk_n_cols, &vtcm_used) != 0) { + FARF(HIGH, "%s: grouped path does not fit VTCM, falling back to legacy batched loop", __func__); + return hmx_mat_mul_permuted_w16a32_batched_legacy(ctx, params); + } + + const size_t act_head_stride = m_chunk_n_rows * (size_t) params->k; // fp16 elements between heads + const size_t weight_area_size = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE); + const size_t activation_area_size = hex_align_up(group_size * m_chunk_n_rows * vec_dot_size, HMX_FP16_TILE_SIZE); + const size_t output_area_size = hex_align_up(m_chunk_n_rows * n_chunk_n_cols * sizeof(__fp16), HMX_FP16_TILE_SIZE); + const size_t scratch_area_size = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE); + const size_t f32_scratch_size = use_dma_activation + ? hex_align_up(m_chunk_n_rows * (size_t) params->k * sizeof(float), HMX_FP16_TILE_SIZE) : 0; + + uint8_t *vtcm_ptr = (uint8_t *) ctx->vtcm_base; + __fp16 *vtcm_weight = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_area_size); + __fp16 *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, activation_area_size); + __fp16 *vtcm_output = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, output_area_size); + void *vtcm_scratch0 = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size); + void *vtcm_scratch1 = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size); + __fp16 *vtcm_scales = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, 256); + float *vtcm_f32_act = use_dma_activation ? (float *) vtcm_seq_alloc(&vtcm_ptr, f32_scratch_size) : NULL; + + if ((size_t) (vtcm_ptr - (uint8_t *) ctx->vtcm_base) > vtcm_budget) { + FARF(HIGH, "%s: grouped layout overflowed VTCM, falling back to legacy batched loop", __func__); + return hmx_mat_mul_permuted_w16a32_batched_legacy(ctx, params); + } + + hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00)); // fp16: 1.0 + + FARF(MEDIUM, "%s: grouped path m=%d k=%d n=%d group=%d streams=%d mc=%zu nc=%zu vtcm=%zu/%zu", + __func__, params->m, params->k, params->n, group_size, params->ne13, + m_chunk_n_rows, n_chunk_n_cols, + (size_t) (vtcm_ptr - (uint8_t *) ctx->vtcm_base), vtcm_budget); + + TIMER_DEFINE(activation_load); + TIMER_DEFINE(weight_load); + TIMER_DEFINE(hmx_core); + TIMER_DEFINE(output_store); + TIMER_DEFINE(total); + + TIMER_START(total); + + const size_t fp16_row_bytes = (size_t) params->k * sizeof(__fp16); + const size_t weight_row_bytes = (size_t) params->weight_stride * sizeof(__fp16); + + for (int b3 = 0; b3 < params->ne13; ++b3) { + for (int b2_base = 0; b2_base < params->ne12; b2_base += group_size) { + const __fp16 *weight_group = hmx_matmul_weight_batch_ptr(params, b2_base, b3); + + for (size_t mr = 0; mr < (size_t) params->m; mr += m_chunk_n_rows) { + const size_t n_rows = hex_smin((size_t) params->m - mr, m_chunk_n_rows); + + // Pre-load activations for all heads in the group (once per m_chunk). + // When the source is strided (permuted Q), use 2D DMA to gather + // contiguous rows into a VTCM scratch buffer first, then HVX + // converts from the contiguous VTCM buffer. This avoids L2 cache + // thrashing from HVX loads at large strides. + TIMER_START(activation_load); + for (int g = 0; g < group_size; ++g) { + const float *activation_chunk = hmx_matmul_activation_batch_ptr(params, b2_base + g, b3) + mr * params->act_stride; + __fp16 *vtcm_act_g = vtcm_activation + (size_t) g * act_head_stride; + if (use_dma_activation) { + const size_t row_bytes = (size_t) params->k * sizeof(float); + const size_t stride_bytes = (size_t) params->act_stride * sizeof(float); + dma_queue_push_chained(ctx->dma[0], + dma_make_ptr(vtcm_f32_act, activation_chunk), + row_bytes, stride_bytes, row_bytes, n_rows); + dma_queue_pop(ctx->dma[0]); + transfer_activation_chunk_threaded(ctx, vtcm_act_g, + vtcm_f32_act, (int) n_rows, + params->k, params->k); + } else { + transfer_activation_chunk_threaded(ctx, vtcm_act_g, + activation_chunk, (int) n_rows, + params->k, params->act_stride); + } + } + TIMER_STOP(activation_load); + + void *buf_curr = vtcm_scratch0; + void *buf_next = vtcm_scratch1; + + { + const size_t n_cols_first = hex_smin((size_t) params->n, n_chunk_n_cols); + dma_queue_push_chained(ctx->dma[0], dma_make_ptr(buf_curr, weight_group), + fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_first); + } + + HAP_compute_res_hmx_lock(ctx->vtcm_rctx); + + for (size_t nc = 0; nc < (size_t) params->n; nc += n_chunk_n_cols) { + const size_t n_cols = hex_smin((size_t) params->n - nc, n_chunk_n_cols); + + TIMER_START(weight_load); + { + dma_queue_pop(ctx->dma[0]); + + const size_t nc_next = nc + n_chunk_n_cols; + if (nc_next < (size_t) params->n) { + const size_t n_cols_next = hex_smin((size_t) params->n - nc_next, n_chunk_n_cols); + const __fp16 *next_weight_chunk = weight_group + nc_next * params->weight_stride; + + dma_queue_push_chained(ctx->dma[0], dma_make_ptr(buf_next, next_weight_chunk), + fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_next); + } + + interleave_fp16_weight_chunk_to_tiles(vtcm_weight, (const __fp16 *) buf_curr, n_cols, params->k); + swap_ptr(&buf_curr, &buf_next); + } + TIMER_STOP(weight_load); + + // Reuse the interleaved weight for every q_head in this GQA group + for (int g = 0; g < group_size; ++g) { + TIMER_START(hmx_core); + { + const __fp16 *vtcm_act_g = vtcm_activation + (size_t) g * act_head_stride; + const int n_row_tiles = hmx_ceil_div((int) n_rows, HMX_FP16_TILE_N_ROWS); + const int n_col_tiles = hmx_ceil_div((int) n_cols, HMX_FP16_TILE_N_COLS); + core_dot_chunk_fp16(vtcm_output, vtcm_act_g, vtcm_weight, vtcm_scales, + n_row_tiles, n_col_tiles, params->k / 32); + } + TIMER_STOP(hmx_core); + + TIMER_START(output_store); + { + float *output = hmx_matmul_dst_batch_ptr(params, b2_base + g, b3) + mr * params->dst_stride + nc; + transfer_output_chunk_threaded(ctx, output, vtcm_output, (int) n_rows, (int) n_cols, params->dst_stride); + } + TIMER_STOP(output_store); + } + } + + HAP_compute_res_hmx_unlock(ctx->vtcm_rctx); + } + } + } + + TIMER_STOP(total); + +#if defined(ENABLE_PROFILE_TIMERS) + FARF(HIGH, "%s: %lld us, m=%d k=%d n=%d group=%d", __func__, TIMER_US(total), + params->m, params->k, params->n, group_size); + FARF(HIGH, " activation_load: %lld us, weight_load: %lld us, hmx_core: %lld us, output_store: %lld us", + TIMER_US(activation_load), TIMER_US(weight_load), TIMER_US(hmx_core), TIMER_US(output_store)); +#endif + + return 0; +} + +int hmx_mat_mul_permuted_w16a32(struct htp_context *ctx, float *restrict dst, const float *restrict activation, + const __fp16 *restrict permuted_weight, int m, int k, int n, + int act_stride, int weight_stride) { + if (!dst || !activation || !permuted_weight || !m || !n || !k) { return -1; } + if (act_stride < k || weight_stride < k) { return -1; } + if (k % 32 != 0 || n % 32 != 0) { return -1; } + + if (!hex_is_aligned(dst, VLEN) || !hex_is_aligned(activation, VLEN) || !hex_is_aligned(permuted_weight, VLEN)) { + return -1; + } + + // --- Dynamic VTCM layout --- + const size_t vtcm_budget = ctx->vtcm_scratch_size; + const size_t vec_dot_size = k * sizeof(__fp16); + + // DMA-based activation gather for strided tensors (see batched path comment). + const bool use_dma_activation = (act_stride > k); + const size_t f32_scratch_per_m = use_dma_activation ? (size_t) k * sizeof(float) : 0; + + size_t m_chunk_n_rows = 0, n_chunk_n_cols = 0, vtcm_used = 0; + if (hmx_compute_chunks(vtcm_budget, + /*overhead=*/ 256, + /*per_n=*/ 3 * vec_dot_size, // W + S0 + S1 + /*per_m=*/ vec_dot_size + f32_scratch_per_m, // A + optional F32 scratch + /*per_mn=*/ sizeof(__fp16), // O + m, n, + &m_chunk_n_rows, &n_chunk_n_cols, &vtcm_used) != 0) { + FARF(HIGH, "%s: VTCM too small (m=%d k=%d n=%d budget=%zu)", __func__, m, k, n, vtcm_budget); + return -1; + } + + const size_t weight_area_size = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE); + const size_t activation_area_size = hex_align_up(m_chunk_n_rows * vec_dot_size, HMX_FP16_TILE_SIZE); + const size_t output_area_size = hex_align_up(m_chunk_n_rows * n_chunk_n_cols * sizeof(__fp16), HMX_FP16_TILE_SIZE); + const size_t scratch_area_size = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE); + const size_t f32_scratch_size = use_dma_activation + ? hex_align_up(m_chunk_n_rows * (size_t) k * sizeof(float), HMX_FP16_TILE_SIZE) : 0; + + // VTCM layout: weight | activation | output | scratch0 | scratch1 | scales | [f32_scratch] + uint8_t *vtcm_ptr = (uint8_t *) ctx->vtcm_base; + __fp16 *vtcm_weight = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_area_size); + __fp16 *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, activation_area_size); + __fp16 *vtcm_output = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, output_area_size); + void *vtcm_scratch0 = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size); + void *vtcm_scratch1 = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size); + __fp16 *vtcm_scales = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, 256); + float *vtcm_f32_act = use_dma_activation ? (float *) vtcm_seq_alloc(&vtcm_ptr, f32_scratch_size) : NULL; + if ((size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base) > vtcm_budget) { + FARF(ERROR, "%s: vtcm overflow: used=%zu limit=%zu", __func__, + (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget); + return -1; + } + + hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00)); // fp16: 1.0 + + FARF(MEDIUM, "%s: m=%d k=%d n=%d mc=%zu nc=%zu vtcm=%zu/%zu", + __func__, m, k, n, m_chunk_n_rows, n_chunk_n_cols, + (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget); + + TIMER_DEFINE(activation_load); + TIMER_DEFINE(weight_load); + TIMER_DEFINE(hmx_core); + TIMER_DEFINE(output_store); + + TIMER_DEFINE(total); + TIMER_START(total); + + HAP_compute_res_hmx_lock(ctx->vtcm_rctx); + + for (size_t mr = 0; mr < m; mr += m_chunk_n_rows) { + // transfer activation matrix chunk into VTCM + size_t n_rows = hex_smin(m - mr, m_chunk_n_rows); + + TIMER_START(activation_load); + { + const float *activation_chunk = activation + mr * act_stride; + if (use_dma_activation) { + const size_t row_bytes = (size_t) k * sizeof(float); + const size_t stride_bytes = (size_t) act_stride * sizeof(float); + dma_queue_push_chained(ctx->dma[0], + dma_make_ptr(vtcm_f32_act, activation_chunk), + row_bytes, stride_bytes, row_bytes, n_rows); + dma_queue_pop(ctx->dma[0]); + transfer_activation_chunk_threaded(ctx, vtcm_activation, + vtcm_f32_act, n_rows, k, k); + } else { + transfer_activation_chunk_threaded(ctx, vtcm_activation, + activation_chunk, n_rows, k, act_stride); + } + } + TIMER_STOP(activation_load); + + const size_t fp16_row_bytes = (size_t) k * sizeof(__fp16); + const size_t weight_row_bytes = (size_t) weight_stride * sizeof(__fp16); + + void *buf_curr = vtcm_scratch0; + void *buf_next = vtcm_scratch1; + + // issue async DMA for the first weight chunk + // NOTE: use 2D DMA (n_cols rows x fp16_row_bytes) to avoid 16-bit roiwidth overflow. + // The source rows can be strided (e.g. KV-cache K after ggml_permute). + { + const size_t n_cols_first = hex_smin(n, n_chunk_n_cols); + + dma_queue_push_chained(ctx->dma[0], dma_make_ptr(buf_curr, permuted_weight), + fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_first); + } + + for (size_t nc = 0; nc < n; nc += n_chunk_n_cols) { + size_t n_cols = hex_smin(n - nc, n_chunk_n_cols); + + TIMER_START(weight_load); + { + dma_queue_pop(ctx->dma[0]); // wait until current weight chunk is ready + + // issue async DMA for the next weight chunk (double buffering) + const size_t nc_next = nc + n_chunk_n_cols; + if (nc_next < n) { + const size_t n_cols_next = hex_smin(n - nc_next, n_chunk_n_cols); + const __fp16 *next_weight_chunk = permuted_weight + nc_next * weight_stride; + + dma_queue_push_chained(ctx->dma[0], dma_make_ptr(buf_next, next_weight_chunk), + fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_next); + } + + // interleave row-major fp16 from scratch into tile-major in vtcm_weight + interleave_fp16_weight_chunk_to_tiles(vtcm_weight, (const __fp16 *)buf_curr, n_cols, k); + + swap_ptr(&buf_curr, &buf_next); + } + TIMER_STOP(weight_load); + + TIMER_START(hmx_core); + { + const int n_row_tiles = hmx_ceil_div(n_rows, HMX_FP16_TILE_N_ROWS); + const int n_col_tiles = hmx_ceil_div(n_cols, HMX_FP16_TILE_N_COLS); + core_dot_chunk_fp16(vtcm_output, vtcm_activation, vtcm_weight, vtcm_scales, n_row_tiles, n_col_tiles, k / 32); + } + TIMER_STOP(hmx_core); + + TIMER_START(output_store); + { + float *output = dst + (mr * n + nc); + transfer_output_chunk_threaded(ctx, output, vtcm_output, n_rows, n_cols, n); + } + TIMER_STOP(output_store); + } + + } + + HAP_compute_res_hmx_unlock(ctx->vtcm_rctx); + + TIMER_STOP(total); + +#if defined(ENABLE_PROFILE_TIMERS) + FARF(HIGH, "%s: %lld us, m=%d k=%d n=%d", __func__, TIMER_US(total), m, k, n); + FARF(HIGH, " activation_load: %lld us, weight_load: %lld us, hmx_core: %lld us, output_store: %lld us", + TIMER_US(activation_load), TIMER_US(weight_load), TIMER_US(hmx_core), TIMER_US(output_store)); + { + size_t weight_size = (size_t)k * n * sizeof(__fp16); + float bandwidth = 1e-3f * weight_size / (float)TIMER_US(weight_load); + FARF(HIGH, " weight load bandwidth: %.2f GB/s", bandwidth); + } +#endif + + return 0; +} + +int mat_mul_qk_0_d16a32_out_stationary(struct htp_context *ctx, float *restrict out, const float *restrict x, const uint8_t *restrict w, int m, + int k, int n, int w_type); + +int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx, float *restrict dst, const float *restrict activation, + const uint8_t *restrict permuted_weight, int m, int k, int n, + int weight_type) { + if (!dst || !activation || !permuted_weight || !m || !n || !k) { return -1; } + if (k % 32 != 0 || n % 32 != 0) { return -1; } + + if (!hex_is_aligned(dst, VLEN) || !hex_is_aligned(activation, VLEN) || !hex_is_aligned(permuted_weight, VLEN)) { + return -1; + } + + // for large m, k (e.g. prefill FFN Down), use out-stationary version + if (m >= 128 && k > n && n > 1024) { + FARF(MEDIUM, "hmx_matmul_qk: OUT-STATIONARY path m=%d k=%d n=%d type=%d (K_BLOCK=512, %d K-iters with fp16 intermediate)", + m, k, n, weight_type, (k + 511) / 512); + return mat_mul_qk_0_d16a32_out_stationary(ctx, dst, activation, permuted_weight, m, k, n, weight_type); + } + + size_t row_stride = get_x4x2_row_stride(weight_type, k); + if (row_stride == 0) { + return -1; + } + + FARF(MEDIUM, "hmx_matmul_qk: STANDARD path m=%d k=%d n=%d type=%d", m, k, n, weight_type); + + // --- Dynamic VTCM layout --- + const size_t vtcm_budget = ctx->vtcm_scratch_size; + const size_t vec_dot_size = k * sizeof(__fp16); + const bool use_pipeline = (m >= 128) && (k <= n); + + // Select cost parameters based on execution path + size_t per_n_cost, per_mn_cost; + if (use_pipeline) { + per_n_cost = row_stride + 2 * vec_dot_size; // Q + S0 + S1 (dequant bufs) + per_mn_cost = 2 * sizeof(__fp16); // O x 2 (output double buffer) + } else { + per_n_cost = vec_dot_size + 2 * row_stride; // W + S0 + S1 (x4x2 DMA bufs) + per_mn_cost = sizeof(__fp16); // O x 1 + } + + size_t m_chunk_n_rows = 0, n_chunk_n_cols = 0, vtcm_used = 0; + if (hmx_compute_chunks(vtcm_budget, /*overhead=*/256, + per_n_cost, /*per_m=*/vec_dot_size, per_mn_cost, + m, n, &m_chunk_n_rows, &n_chunk_n_cols, &vtcm_used) != 0) { + FARF(HIGH, "%s: VTCM too small (m=%d k=%d n=%d pipe=%d budget=%zu)", + __func__, m, k, n, use_pipeline, vtcm_budget); + return -1; + } + + // Compute precise buffer sizes per execution path + const size_t weight_area_size = hex_align_up( + n_chunk_n_cols * (use_pipeline ? row_stride : vec_dot_size), HMX_FP16_TILE_SIZE); + const size_t activation_area_size = hex_align_up(m_chunk_n_rows * vec_dot_size, HMX_FP16_TILE_SIZE); + const size_t output_area_size = hex_align_up( + m_chunk_n_rows * n_chunk_n_cols * sizeof(__fp16), HMX_FP16_TILE_SIZE); + + size_t scratch0_size, scratch1_size, scratch2_size; + if (use_pipeline) { + scratch0_size = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE); // dequant buf 0 + scratch1_size = scratch0_size; // dequant buf 1 + scratch2_size = output_area_size; // output buf 1 + } else { + scratch0_size = hex_align_up(n_chunk_n_cols * row_stride, HMX_FP16_TILE_SIZE); // x4x2 DMA buf 0 + scratch1_size = scratch0_size; // x4x2 DMA buf 1 + scratch2_size = 0; // unused + } + + uint8_t *vtcm_ptr = (uint8_t *) ctx->vtcm_base; + __fp16 *vtcm_weight = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_area_size); + __fp16 *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, activation_area_size); + __fp16 *vtcm_output = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, output_area_size); + void *vtcm_scratch0 = vtcm_seq_alloc(&vtcm_ptr, scratch0_size); + void *vtcm_scratch1 = vtcm_seq_alloc(&vtcm_ptr, scratch1_size); + void *vtcm_scratch2 = scratch2_size ? vtcm_seq_alloc(&vtcm_ptr, scratch2_size) : NULL; + __fp16 *vtcm_scales = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, 256); + if ((size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base) > vtcm_budget) { + FARF(ERROR, "%s: vtcm overflow: used=%zu limit=%zu", __func__, + (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget); + return -1; + } + + hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00)); // fp16: 1.0 + + FARF(MEDIUM, "%s: m=%d k=%d n=%d wtype=%d pipe=%d mc=%zu nc=%zu vtcm=%zu/%zu", + __func__, m, k, n, weight_type, use_pipeline, + m_chunk_n_rows, n_chunk_n_cols, + (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget); + + TIMER_DEFINE(activation_load); + TIMER_DEFINE(weight_load); + TIMER_DEFINE(hmx_core); + TIMER_DEFINE(output_store); + + TIMER_DEFINE(total); + TIMER_START(total); + + FARF(MEDIUM, "hmx_matmul_qk: %s mc=%zu nc=%zu vtcm=%zu/%zu", + use_pipeline ? "PIPELINE" : "SEQUENTIAL", m_chunk_n_rows, n_chunk_n_cols, + (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget); + + HAP_compute_res_hmx_lock(ctx->vtcm_rctx); + + if (!use_pipeline) { + for (size_t mr = 0; mr < m; mr += m_chunk_n_rows) { + // transfer activation matrix chunk into VTCM + size_t n_rows = hex_smin(m - mr, m_chunk_n_rows); + + TIMER_START(activation_load); + { + const float *activation_chunk = activation + mr * k; + transfer_activation_chunk_threaded(ctx, vtcm_activation, activation_chunk, n_rows, k, k); + } + TIMER_STOP(activation_load); + + void *buf_curr = vtcm_scratch0; + void *buf_next = vtcm_scratch1; + + // issue async DDR data transfer for the first weight chunk + // NOTE: use 2D DMA (n_cols rows x row_stride bytes) instead of 1D + // because UDMA roiwidth is 16-bit and total size can exceed 65535. + { + const size_t n_cols_first = hex_smin(n, n_chunk_n_cols); + dma_queue_push_chained(ctx->dma[0], dma_make_ptr(buf_curr, permuted_weight), row_stride, row_stride, row_stride, n_cols_first); + } + + for (size_t nc = 0; nc < n; nc += n_chunk_n_cols) { + size_t n_cols = hex_smin(n - nc, n_chunk_n_cols); + + TIMER_START(weight_load); + { + dma_queue_pop(ctx->dma[0]); // wait until current weight chunk become ready + + const size_t nc_next = nc + n_chunk_n_cols; + if (nc_next < n) { + const size_t n_cols_next = hex_smin(n - nc_next, n_chunk_n_cols); + + const uint8_t *next_weight_chunk = permuted_weight + nc_next * row_stride; + + dma_queue_push_chained(ctx->dma[0], dma_make_ptr(buf_next, next_weight_chunk), row_stride, row_stride, row_stride, n_cols_next); + } + + // Dequant + vscatter writes directly to [K, N] transposed tiles. + // HMX computes C = A x B, where A=[M,K] activation, B=[K,N] weight. + dequantize_x4x2_weight_chunk_to_fp16_tiles(ctx, vtcm_weight, buf_curr, n_cols, k, row_stride, weight_type); + + swap_ptr(&buf_curr, &buf_next); + } + TIMER_STOP(weight_load); + + TIMER_START(hmx_core); + { + const int n_row_tiles = hmx_ceil_div(n_rows, HMX_FP16_TILE_N_ROWS); + const int n_col_tiles = hmx_ceil_div(n_cols, HMX_FP16_TILE_N_COLS); + core_dot_chunk_fp16(vtcm_output, vtcm_activation, vtcm_weight, vtcm_scales, n_row_tiles, n_col_tiles, k / 32); + } + TIMER_STOP(hmx_core); + + TIMER_START(output_store); + { + float *output = dst + (mr * n + nc); + transfer_output_chunk_threaded(ctx, output, vtcm_output, n_rows, n_cols, n); + } + TIMER_STOP(output_store); + } + } + } else { + // 4-stage pipeline: DMA load (A), dequantize (B), HMX matmul (C), store (D) + // stage B and D (dequantize and store) are expected to be on the critical path + + // A --> B: vtcm_qweight, 1 buffer + // B --> C: vtcm_weight0/vtcm_weight1, 2 buffers + // C --> D: vtcm_output0/vtcm_output1, 2 buffers + + // + // LD ||A3| | B3 || + // MM || C2 || + // ST || D1 | || + + int n_chunk_cnt = hmx_ceil_div(n, n_chunk_n_cols); + for (size_t mr = 0; mr < m; mr += m_chunk_n_rows) { + const size_t n_rows = hex_smin(m - mr, m_chunk_n_rows); + + void *vtcm_qweight = vtcm_weight; + void *vtcm_weight_bufs[2] = { vtcm_scratch0, vtcm_scratch1 }; + void *vtcm_output_bufs[2] = { vtcm_output, vtcm_scratch2 }; + + // prologue: A0 + const size_t n_cols_A0 = hex_smin(n - 0 * n_chunk_n_cols, n_chunk_n_cols); + { + // Use 2D DMA (n_cols rows x row_stride) to avoid 16-bit roiwidth overflow. + const uint8_t *qweight_chunk_A0 = permuted_weight; + dma_queue_push_chained(ctx->dma[0], dma_make_ptr(vtcm_qweight, qweight_chunk_A0), row_stride, row_stride, row_stride, n_cols_A0); + } + + { + const float *activation_chunk = activation + mr * k; + transfer_activation_chunk_threaded(ctx, vtcm_activation, activation_chunk, n_rows, k, k); + } + + // prologue: B0, A1, C0, B1 + { + // B0 + dma_queue_pop(ctx->dma[0]); + dequantize_x4x2_weight_chunk_to_fp16_tiles(ctx, vtcm_weight_bufs[0], vtcm_qweight, n_cols_A0, k, row_stride, weight_type); + + // A1 + const size_t n_cols_A1 = hex_smin(n - 1 * n_chunk_n_cols, n_chunk_n_cols); + if (1 < n_chunk_cnt) { + const uint8_t *qweight_chunk_A1 = permuted_weight + n_chunk_n_cols * row_stride; + dma_queue_push_chained(ctx->dma[0], dma_make_ptr(vtcm_qweight, qweight_chunk_A1), row_stride, row_stride, row_stride, n_cols_A1); + } + + // C0 + core_dot_chunk_fp16((__fp16 *) vtcm_output_bufs[0], (__fp16 *) vtcm_activation, (__fp16 *) vtcm_weight_bufs[0], vtcm_scales, + hmx_ceil_div(n_rows, HMX_FP16_TILE_N_ROWS), hmx_ceil_div(n_cols_A0, HMX_FP16_TILE_N_COLS), k / HMX_FP16_TILE_N_ROWS); + + // B1 + if (1 < n_chunk_cnt) { + dma_queue_pop(ctx->dma[0]); + dequantize_x4x2_weight_chunk_to_fp16_tiles(ctx, vtcm_weight_bufs[1], vtcm_qweight, n_cols_A1, k, row_stride, weight_type); + } + } + + // main loop + for (int i = 0; i < n_chunk_cnt; ++i) { + const size_t nc = i * n_chunk_n_cols; + const size_t nc_p1 = nc + 1 * n_chunk_n_cols; + const size_t nc_p2 = nc + 2 * n_chunk_n_cols; + + const size_t n_cols = hex_smin(n - nc, n_chunk_n_cols); + const size_t n_cols_p1 = hex_smin(n - nc_p1, n_chunk_n_cols); + const size_t n_cols_p2 = hex_smin(n - nc_p2, n_chunk_n_cols); + + // issue A_{i+2} + if (i + 2 < n_chunk_cnt) { + const uint8_t *qweight_chunk_p2 = permuted_weight + nc_p2 * row_stride; + dma_queue_push_chained(ctx->dma[0], dma_make_ptr(vtcm_qweight, qweight_chunk_p2), row_stride, row_stride, row_stride, n_cols_p2); + } + + // wait for HMX (C_{i}) -- C_{i} is done + + // result of B_{i+1} (input of C_{i+1}) should be ready now + + // issue C_{i+1} + if (i + 1 < n_chunk_cnt) { + core_dot_chunk_fp16((__fp16 *) vtcm_output_bufs[(i + 1) % 2], (__fp16 *) vtcm_activation, (__fp16 *) vtcm_weight_bufs[(i + 1) % 2], vtcm_scales, + hmx_ceil_div(n_rows, HMX_FP16_TILE_N_ROWS), hmx_ceil_div(n_cols_p1, HMX_FP16_TILE_N_COLS), k / HMX_FP16_TILE_N_ROWS); + } + + // compute D_{i} + float *output_chunk = dst + (mr * n + nc); + transfer_output_chunk_threaded(ctx, output_chunk, vtcm_output_bufs[i % 2], n_rows, n_cols, n); + + // wait for DMA (A_{i+2}), compute B_{i+2} + if (i + 2 < n_chunk_cnt) { + dma_queue_pop(ctx->dma[0]); + dequantize_x4x2_weight_chunk_to_fp16_tiles(ctx, vtcm_weight_bufs[(i + 2) % 2], vtcm_qweight, n_cols_p2, k, row_stride, weight_type); + } + } + } + } + + HAP_compute_res_hmx_unlock(ctx->vtcm_rctx); + + TIMER_STOP(total); + +#if defined(ENABLE_PROFILE_TIMERS) + FARF(HIGH, "%s: %lld us, m=%d k=%d n=%d pipeline=%d", __func__, TIMER_US(total), m, k, n, use_pipeline); + if (!use_pipeline) { + FARF(HIGH, " activation_load: %lld us, weight_load: %lld us, hmx_core: %lld us, output_store: %lld us", + TIMER_US(activation_load), TIMER_US(weight_load), TIMER_US(hmx_core), TIMER_US(output_store)); + size_t weight_size = (size_t)n * row_stride; + float bandwidth = 1e-3f * weight_size / (float)TIMER_US(weight_load); + FARF(HIGH, " weight load bandwidth: %.2f GB/s", bandwidth); + } +#endif + + return 0; +} + +// C += AB +void core_mma_chunk_fp16(__fp16 *c, const __fp16 *a, const __fp16 *b, const __fp16 *col_scales, const __fp16 *eye_tile, + int n_row_tiles, int n_col_tiles, int n_dot_tiles, bool zero_init) { + + hmx_set_output_scales(col_scales); + + for (int i = 0; i < n_row_tiles; ++i) { + for (int j = 0; j < n_col_tiles; ++j) { + Q6_mxclracc_hf(); + + const __fp16 *row_tiles = a + i * n_dot_tiles * HMX_FP16_TILE_N_ELMS; + const __fp16 *col_tiles = b + j * n_dot_tiles * HMX_FP16_TILE_N_ELMS; + + __fp16 *accum_tile = c + (i * n_col_tiles + j) * HMX_FP16_TILE_N_ELMS; + if (!zero_init) { + hmx_load_tile_pair_fp16(accum_tile, eye_tile); + } + + for (int k = 0; k < n_dot_tiles; ++k) { + int offset = k * HMX_FP16_TILE_N_ELMS; + hmx_load_tile_pair_fp16(row_tiles + offset, col_tiles + offset); + } + + hmx_consume_accumulator_fp16(accum_tile); + } + } +} + +static void transfer_activation_chunk_fp32_to_fp16(__fp16 *restrict vtcm_dst, const float *restrict src, int n_rows, + int k_block, int k_stride) { + for (int r = 0; r < n_rows; r += 2) { + int r0 = r / HMX_FP16_TILE_N_ROWS; // tile row index + int r1 = r % HMX_FP16_TILE_N_ROWS; // intra-tile row idx + + const bool next_row_valid = (r + 1) < n_rows; + + const HVX_Vector *pv_in0 = (const HVX_Vector *) (src + (r + 0) * k_stride); + const HVX_Vector *pv_in1 = (const HVX_Vector *) (src + (r + 1) * k_stride); + for (int c = 0; c < k_block; c += 32) { + HVX_Vector v0 = *pv_in0++; + HVX_Vector v1 = next_row_valid ? *pv_in1++ : Q6_V_vzero(); + + HVX_Vector v_out = hvx_vec_f32_to_f16_shuff(v0, v1); + + // compute output position + int c0 = c / HMX_FP16_TILE_N_COLS; // tile column index + int tile_idx = r0 * (k_block / HMX_FP16_TILE_N_COLS) + c0; + + HVX_Vector *tile = (HVX_Vector *) (vtcm_dst + tile_idx * HMX_FP16_TILE_N_ELMS); + tile[r1 / 2] = v_out; + } + } +} + +typedef struct { + __fp16 *dst; + const float *src; + int n_tasks; + int n_tot_chunks; + int n_chunks_per_task; + int k_block; + int k_stride; +} activation_transfer_task_state_t; + +static void transfer_activation_chunk_worker_fn(unsigned int n, unsigned int i, void *data) { + activation_transfer_task_state_t *st = (activation_transfer_task_state_t *) data; + + for (unsigned int task_id = i; task_id < (unsigned int)st->n_tasks; task_id += n) { + // one chunk: one row + int chunk_idx = task_id * st->n_chunks_per_task; + size_t chunk_size = hex_smin(st->n_tot_chunks - chunk_idx, st->n_chunks_per_task); + + __fp16 *dst = st->dst + chunk_idx * st->k_block; + const float *src = st->src + chunk_idx * st->k_stride; + transfer_activation_chunk_fp32_to_fp16(dst, src, chunk_size, st->k_block, st->k_stride); + } +} + +void transfer_activation_chunk_threaded(struct htp_context *ctx, __fp16 *dst, const float *src, int n_rows, int k_block, int k_stride) { + assert(k_block % HMX_FP16_TILE_N_COLS == 0 && k_stride % HMX_FP16_TILE_N_COLS == 0); + assert(VLEN == 32 * sizeof(float)); + + size_t n_tot_chunks = n_rows; + size_t n_chunks_per_task = 32; // must be multiple of 32 to ensure correct destination address + + activation_transfer_task_state_t state; + state.n_tasks = (n_tot_chunks + n_chunks_per_task - 1) / n_chunks_per_task; + state.n_tot_chunks = n_tot_chunks; + state.n_chunks_per_task = n_chunks_per_task; + state.dst = dst; + state.src = src; + state.k_block = k_block; + state.k_stride = k_stride; + + worker_pool_run_func(ctx->worker_pool, transfer_activation_chunk_worker_fn, &state, ctx->n_threads); +} + +int mat_mul_qk_0_d16a32_out_stationary(struct htp_context *ctx, float *restrict out, const float *restrict x, const uint8_t *restrict w, int m, + int k, int n, int weight_type) { + // Runtime check -- k >= 16384 exceeds 2D DMA limit + if (k >= 16384) { + FARF(HIGH, "%s: k=%d exceeds 2D DMA limit", __func__, k); + return -1; + } + // assume k % 32 == 0 && n % 32 == 0 + const size_t row_stride = get_x4x2_row_stride(weight_type, k); + if (row_stride == 0) { + return -1; + } + + const size_t vtcm_budget = ctx->vtcm_scratch_size; + + const size_t M_BLOCK_SIZE = 512; + const size_t N_BLOCK_SIZE = 512; + const size_t K_BLOCK_SIZE = 512; + + // Compute precise buffer sizes + const size_t sub_row_stride_alloc = get_x4x2_row_stride(weight_type, K_BLOCK_SIZE); + const size_t weight_size = hex_align_up(N_BLOCK_SIZE * K_BLOCK_SIZE * sizeof(__fp16), HMX_FP16_TILE_SIZE); + const size_t act_size = hex_align_up(M_BLOCK_SIZE * K_BLOCK_SIZE * sizeof(__fp16), HMX_FP16_TILE_SIZE); + const size_t out_size = hex_align_up(M_BLOCK_SIZE * N_BLOCK_SIZE * sizeof(__fp16), HMX_FP16_TILE_SIZE); + const size_t scratch0_sz = hex_align_up(N_BLOCK_SIZE * sub_row_stride_alloc, HMX_FP16_TILE_SIZE); + const size_t scratch1_sz = hex_align_up(M_BLOCK_SIZE * K_BLOCK_SIZE * sizeof(float), HMX_FP16_TILE_SIZE); + + const size_t total_vtcm = weight_size + act_size + out_size + scratch0_sz + scratch1_sz + HMX_FP16_TILE_SIZE + 256; + if (total_vtcm > vtcm_budget) { + FARF(HIGH, "%s: VTCM too small: need %zu have %zu (m=%d k=%d n=%d)", __func__, total_vtcm, vtcm_budget, m, k, n); + return -1; + } + + uint8_t *vtcm_ptr = (uint8_t *) ctx->vtcm_base; + __fp16 *vtcm_weight = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_size); + __fp16 *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, act_size); + __fp16 *vtcm_output = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, out_size); + uint8_t *vtcm_scratch0 = vtcm_seq_alloc(&vtcm_ptr, scratch0_sz); + uint8_t *vtcm_scratch1 = vtcm_seq_alloc(&vtcm_ptr, scratch1_sz); + __fp16 *vtcm_eye_tile = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, HMX_FP16_TILE_SIZE); + __fp16 *vtcm_scales = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, 256); + assert((size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base) <= vtcm_budget); + + FARF(MEDIUM, "%s: m=%d k=%d n=%d wtype=%d vtcm=%zu/%zu", + __func__, m, k, n, weight_type, + (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget); + + // initialize eye tile (32x32 identity matrix) + { + HVX_Vector v; + v = Q6_V_vzero(); + v = Q6_Vw_vinsert_VwR(v, 0x3c000000); + v = Q6_V_vror_VR(v, VLEN - 4); + v = Q6_Vw_vinsert_VwR(v, 0x00003c00); + for (int i = 0; i < 16; ++i) { + ((HVX_Vector *) vtcm_eye_tile)[i] = v; + v = Q6_V_vror_VR(v, VLEN - 8); + } + } + hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00)); // fp16: 1.0 + + TIMER_DEFINE(fetch); + TIMER_DEFINE(act_load); + TIMER_DEFINE(wt_dequant); + TIMER_DEFINE(core); + + HAP_compute_res_hmx_lock(ctx->vtcm_rctx); + + for (size_t mr = 0; mr < m; mr += M_BLOCK_SIZE) { + size_t m_blk_sz = hex_smin(m - mr, M_BLOCK_SIZE); + for (size_t nc = 0; nc < n; nc += N_BLOCK_SIZE) { + size_t n_blk_sz = hex_smin(n - nc, N_BLOCK_SIZE); + + const int n_row_tiles = hmx_ceil_div(m_blk_sz, HMX_FP16_TILE_N_ROWS); + const int n_col_tiles = hmx_ceil_div(n_blk_sz, HMX_FP16_TILE_N_COLS); + + for (size_t kk = 0; kk < k; kk += K_BLOCK_SIZE) { + size_t k_blk_sz = hex_smin(k - kk, K_BLOCK_SIZE); + + TIMER_START(fetch); + // fetch activation block into VTCM + { + const float *activation_block = x + mr * k + kk; + + dma_queue_push_chained(ctx->dma[0], + dma_make_ptr(vtcm_scratch1, activation_block), + k_blk_sz * sizeof(float), + k * sizeof(float), + k_blk_sz * sizeof(float), + m_blk_sz); + } + + // fetch weight block into VTCM (x4x2 sub-block: quants + scales) + { + qweight_fetch_task_state_t s; + + const bool is_q4 = (weight_type == HTP_TYPE_Q4_0 || weight_type == HTP_TYPE_IQ4_NL); + const int blk_start = kk / QK_Q4_0x4x2; + const int nb_sub = (k_blk_sz + QK_Q4_0x4x2 - 1) / QK_Q4_0x4x2; + const int full_qrow = is_q4 ? (k / 2) : k; + const size_t sub_row_stride = get_x4x2_row_stride(weight_type, k_blk_sz); + + s.dst = vtcm_scratch0; + s.src = w + nc * row_stride; + s.n_rows = n_blk_sz; + s.src_stride = row_stride; + s.dst_stride = sub_row_stride; + s.quant_off = is_q4 ? (blk_start * (QK_Q4_0x4x2 / 2)) : (blk_start * QK_Q8_0x4x2); + s.quant_width = is_q4 ? (nb_sub * (QK_Q4_0x4x2 / 2)) : (nb_sub * QK_Q8_0x4x2); + s.scale_off = full_qrow + blk_start * HMX_X4X2_DBLK_SIZE; + s.scale_width = nb_sub * HMX_X4X2_DBLK_SIZE; + + // 2D DMA: quants sub-range + dma_queue_push_chained(ctx->dma[0], dma_make_ptr(s.dst, s.src + s.quant_off), + s.dst_stride, s.src_stride, s.quant_width, s.n_rows); + // 2D DMA: scales sub-range + dma_queue_push_chained(ctx->dma[0], dma_make_ptr(s.dst + s.quant_width, s.src + s.scale_off), + s.dst_stride, s.src_stride, s.scale_width, s.n_rows); + } + TIMER_STOP(fetch); + + TIMER_START(act_load); + // load activation block + { + dma_queue_pop(ctx->dma[0]); // wait for act DNA + transfer_activation_chunk_threaded(ctx, vtcm_activation, (float *) vtcm_scratch1, m_blk_sz, k_blk_sz, k_blk_sz); + } + TIMER_STOP(act_load); + + TIMER_START(wt_dequant); + // dequantize weight block + { + dma_queue_pop(ctx->dma[0]); + dma_queue_pop(ctx->dma[0]); + // vtcm_scratch0 is used to store the qweight chunk + // worker_pool_run_func already returned, so fetch is done + const size_t sub_row_stride = get_x4x2_row_stride(weight_type, k_blk_sz); + dequantize_x4x2_weight_chunk_to_fp16_tiles(ctx, vtcm_weight, vtcm_scratch0, + n_blk_sz, k_blk_sz, sub_row_stride, weight_type); + } + TIMER_STOP(wt_dequant); + + // core mma + TIMER_START(core); + { + core_mma_chunk_fp16(vtcm_output, vtcm_activation, vtcm_weight, vtcm_scales, vtcm_eye_tile, n_row_tiles, + n_col_tiles, k_blk_sz / HMX_FP16_TILE_N_COLS, kk == 0); + } + TIMER_STOP(core); + } + + // store output block + { + float *output_block = out + (mr * n + nc); + transfer_output_chunk_threaded(ctx, output_block, vtcm_output, m_blk_sz, n_blk_sz, n); + } + } + } + + HAP_compute_res_hmx_unlock(ctx->vtcm_rctx); + +#if defined(ENABLE_PROFILE_TIMERS) + FARF(HIGH, "fetch: %lld us, act_load: %lld us, wt_dequant: %lld us, core: %lld us", + TIMER_US(fetch), TIMER_US(act_load), TIMER_US(wt_dequant), TIMER_US(core)); +#endif + return 0; +} diff --git a/ggml/src/ggml-hexagon/htp/hmx-ops.h b/ggml/src/ggml-hexagon/htp/hmx-ops.h new file mode 100644 index 0000000000..b36c8d129b --- /dev/null +++ b/ggml/src/ggml-hexagon/htp/hmx-ops.h @@ -0,0 +1,72 @@ +// HMX operation entry-point declarations. +// Ported from htp-ops-lib/include/dsp/ops.h (renamed, benchmark kernels removed). (https://github.com/haozixu/htp-ops-lib) + +#ifndef HMX_OPS_H +#define HMX_OPS_H + +#include +#include + +#ifndef restrict +# define restrict __restrict +#endif + +#ifdef __cplusplus +extern "C" { +#endif + +struct htp_context; // forward declaration + +typedef struct { + float *dst; + const float *activation; + const __fp16 *permuted_weight; + int m; + int k; + int n; + int act_stride; + int weight_stride; + int dst_stride; + int ne02; + int ne03; + int ne12; + int ne13; + size_t src0_nb2; + size_t src0_nb3; + size_t src1_nb2; + size_t src1_nb3; + size_t dst_nb2; + size_t dst_nb3; +} hmx_matmul_w16a32_batched_params_t; + +// HMX matrix multiplication — tile-permuted FP16 weights, FP32 activation/output +// act_stride: activation row stride in elements (= k for contiguous, or +// nb[1]/sizeof(float) for permuted tensors like attention Q). +// weight_stride: weight row stride in elements (= k for compact weights, or +// nb[1]/sizeof(__fp16) for permuted KV-cache views used by QK). +int hmx_mat_mul_permuted_w16a32(struct htp_context *ctx, + float *restrict dst, + const float *activation, + const __fp16 *permuted_weight, + int m, int k, int n, + int act_stride, + int weight_stride); + +// Batched F16 wrapper over hmx_mat_mul_permuted_w16a32. +// Batch semantics match ggml_mul_mat(): src0 broadcasts to src1 in dims 2/3. +int hmx_mat_mul_permuted_w16a32_batched(struct htp_context *ctx, + const hmx_matmul_w16a32_batched_params_t *params); + +// HMX matrix multiplication — tile-permuted quantised weights (Q4_0/Q8_0/IQ4_NL) +int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx, + float *restrict dst, + const float *activation, + const uint8_t *permuted_weight, + int m, int k, int n, + int weight_type); + +#ifdef __cplusplus +} +#endif + +#endif // HMX_OPS_H diff --git a/ggml/src/ggml-hexagon/htp/hmx-profile.h b/ggml/src/ggml-hexagon/htp/hmx-profile.h new file mode 100644 index 0000000000..01eece720c --- /dev/null +++ b/ggml/src/ggml-hexagon/htp/hmx-profile.h @@ -0,0 +1,34 @@ +// Conditional fine-grained profiling macros for HMX operations. +// +// Define ENABLE_PROFILE_TIMERS (via compiler flag or before including this +// header) to instrument sub-operation latencies with HAP qtimer. When the +// macro is not defined the TIMER_* helpers expand to nothing so there is zero +// overhead. +// +// Usage: +// TIMER_DEFINE(my_phase); // declare accumulator variable +// TIMER_START(my_phase); // snapshot start time +// ... work ... +// TIMER_STOP(my_phase); // accumulate elapsed ticks +// FARF(ALWAYS, "my_phase: %lld us", TIMER_US(my_phase)); + +#ifndef HMX_PROFILE_H +#define HMX_PROFILE_H + +#include + +// #define ENABLE_PROFILE_TIMERS + +#if defined(ENABLE_PROFILE_TIMERS) +# define TIMER_DEFINE(name) int64_t name##_ticks = 0 +# define TIMER_START(name) int64_t name##_t0 = HAP_perf_get_qtimer_count() +# define TIMER_STOP(name) name##_ticks += HAP_perf_get_qtimer_count() - name##_t0 +# define TIMER_US(name) HAP_perf_qtimer_count_to_us(name##_ticks) +#else +# define TIMER_DEFINE(name) +# define TIMER_START(name) +# define TIMER_STOP(name) +# define TIMER_US(name) 0LL +#endif + +#endif // HMX_PROFILE_H diff --git a/ggml/src/ggml-hexagon/htp/hmx-utils.h b/ggml/src/ggml-hexagon/htp/hmx-utils.h new file mode 100644 index 0000000000..aacfbcda28 --- /dev/null +++ b/ggml/src/ggml-hexagon/htp/hmx-utils.h @@ -0,0 +1,88 @@ +// HMX tile-level inline helpers (FP16 32x32 tile operations). +// Ported from htp-ops-lib/include/dsp/hmx_utils.h. (https://github.com/haozixu/htp-ops-lib) + +#ifndef HMX_UTILS_H +#define HMX_UTILS_H + +#include +#include + +#define HMX_FP16_TILE_N_ROWS 32 +#define HMX_FP16_TILE_N_COLS 32 +#define HMX_FP16_TILE_N_ELMS 1024 +#define HMX_FP16_TILE_SIZE 2048 + +#define HMX_INLINE_ALWAYS inline __attribute__((unused, always_inline)) + +static HMX_INLINE_ALWAYS void hmx_set_output_scales(const void *scales) { + asm volatile("bias = mxmem2(%0)" :: "r"(scales)); +} + +// Initialise aligned 256-byte area with scale vector + zero padding. +static HMX_INLINE_ALWAYS void hmx_init_column_scales(void *out_scales, HVX_Vector v_scale) { + HVX_Vector *pv = (HVX_Vector *)out_scales; + *pv++ = v_scale; + *pv = Q6_V_vzero(); +} + +// Load multiple contiguous tiles with :deep streaming. +// Rt = total region size - 1; the hardware streams through [Rs, Rs + Rt]. +// IMPORTANT: the tile region [Rs, Rs + Rt] must NOT cross a VTCM 4 MB bank +// boundary, otherwise the mxmem instruction will raise a precise bus error. +// Callers must ensure their VTCM layout satisfies this constraint. +static HMX_INLINE_ALWAYS void hmx_load_tiles_fp16(const __fp16 *row_tiles, + const __fp16 *col_tiles, + size_t n_tiles) { + size_t limit = n_tiles * HMX_FP16_TILE_SIZE - 1; + asm volatile( + "{ activation.hf = mxmem(%0, %1):deep\n" + "weight.hf = mxmem(%2, %3) }\n" + :: "r"(row_tiles), "r"(limit), "r"(col_tiles), "r"(limit) + : "memory"); +} + +// Load a single activation+weight tile pair (no :deep streaming). +// Rt defines the accessible region [Rs, Rs+Rt]. Following the reference formula +// (limit = n_tiles * HMX_FP16_TILE_SIZE - 1), for a single tile Rt = 2047. +// The original code used Rt=0x7FFF (32 KB region); when dynamic VTCM allocation +// places a tile near a 4 MB bank boundary, the oversized region crosses it and +// triggers a precise bus error (0x2601). Rt=2047 confines accesses to exactly +// one 2048-byte tile while covering all 16 HVX vectors (offsets 0..2047). +static HMX_INLINE_ALWAYS void hmx_load_tile_pair_fp16(const __fp16 *act_tile, + const __fp16 *wt_tile) { + asm volatile( + "{ activation.hf = mxmem(%0, %1)\n" + "weight.hf = mxmem(%2, %3) }\n" + :: "r"(act_tile), "r"(2047), + "r"(wt_tile), "r"(2047) + : "memory"); +} + +static HMX_INLINE_ALWAYS void hmx_consume_accumulator_fp16(__fp16 *out) { + // Use the combined convert-and-store instruction (matches the reference + // Q6_mxmem_AR_after_hf intrinsic). The previous two-instruction sequence + // "cvt.hf = acc(2); mxmem = cvt" used an undocumented Rs=2 parameter. + asm volatile( + "mxmem(%0, %1):after.hf = acc\n" + :: "r"(out), "r"(0) + : "memory"); +} + +// Compute inner product of two vectors of tiles and store result. +static HMX_INLINE_ALWAYS void hmx_dot_fp16(__fp16 *out, + const __fp16 *row_tiles, + const __fp16 *col_tiles, + size_t n_tiles) { + hmx_load_tiles_fp16(row_tiles, col_tiles, n_tiles); + hmx_consume_accumulator_fp16(out); +} + +// --- VTCM sequential allocator (from htp-ops-lib/include/dsp/vtcm_mgr.h) --- + +static inline uint8_t *vtcm_seq_alloc(uint8_t **vtcm_ptr, size_t size) { + uint8_t *p = *vtcm_ptr; + *vtcm_ptr += size; + return p; +} + +#endif // HMX_UTILS_H diff --git a/ggml/src/ggml-hexagon/htp/htp-ctx.h b/ggml/src/ggml-hexagon/htp/htp-ctx.h index a707d98239..a92acfa0a8 100644 --- a/ggml/src/ggml-hexagon/htp/htp-ctx.h +++ b/ggml/src/ggml-hexagon/htp/htp-ctx.h @@ -30,6 +30,12 @@ struct htp_context { atomic_bool vtcm_needs_release; uint32_t opmask; + + // HMX acceleration fields (v73+, enabled by compile-time HTP_HAS_HMX) +#ifdef HTP_HAS_HMX + int hmx_enabled; // Runtime flag: HMX initialisation succeeded + size_t vtcm_scratch_size; // Usable dynamic scratch (vtcm_size minus tail reservation) +#endif }; #endif /* HTP_CTX_H */ diff --git a/ggml/src/ggml-hexagon/htp/htp-msg.h b/ggml/src/ggml-hexagon/htp/htp-msg.h index 52dcc36d8f..391148be0e 100644 --- a/ggml/src/ggml-hexagon/htp/htp-msg.h +++ b/ggml/src/ggml-hexagon/htp/htp-msg.h @@ -32,13 +32,14 @@ enum htp_status { // Duplicated here because we can't include full ggml.h in the htp build. // We have some static_asserts in the cpp code to ensure things are in sync. enum htp_data_type { - HTP_TYPE_F32 = 0, - HTP_TYPE_F16 = 1, - HTP_TYPE_Q4_0 = 2, - HTP_TYPE_Q8_0 = 8, - HTP_TYPE_I32 = 26, - HTP_TYPE_I64 = 27, - HTP_TYPE_MXFP4 = 39, + HTP_TYPE_F32 = 0, + HTP_TYPE_F16 = 1, + HTP_TYPE_Q4_0 = 2, + HTP_TYPE_Q8_0 = 8, + HTP_TYPE_IQ4_NL = 20, + HTP_TYPE_I32 = 26, + HTP_TYPE_I64 = 27, + HTP_TYPE_MXFP4 = 39, HTP_TYPE_COUNT }; @@ -53,6 +54,10 @@ enum htp_op { HTP_OP_RMS_NORM, HTP_OP_UNARY_SILU, HTP_OP_UNARY_GELU, + HTP_OP_UNARY_SIGMOID, + HTP_OP_UNARY_EXP, + HTP_OP_UNARY_NEG, + HTP_OP_UNARY_SOFTPLUS, HTP_OP_GLU_SWIGLU, HTP_OP_GLU_SWIGLU_OAI, HTP_OP_GLU_GEGLU, @@ -69,6 +74,7 @@ enum htp_op { HTP_OP_SQRT, HTP_OP_SUM_ROWS, HTP_OP_SSM_CONV, + HTP_OP_REPEAT, INVALID }; @@ -82,6 +88,8 @@ static inline size_t htp_t_block_size(uint32_t t) { return QK4_0; case HTP_TYPE_Q8_0: return QK8_0; + case HTP_TYPE_IQ4_NL: + return QK4_NL; case HTP_TYPE_MXFP4: return QK_MXFP4; default: @@ -100,6 +108,8 @@ static inline size_t htp_type_nbytes(uint32_t t) { return sizeof(block_q4_0); case HTP_TYPE_Q8_0: return sizeof(block_q8_0); + case HTP_TYPE_IQ4_NL: + return sizeof(block_iq4_nl); case HTP_TYPE_MXFP4: return sizeof(block_mxfp4); default: diff --git a/ggml/src/ggml-hexagon/htp/htp-ops.h b/ggml/src/ggml-hexagon/htp/htp-ops.h index 2ef20936f1..f643fdc340 100644 --- a/ggml/src/ggml-hexagon/htp/htp-ops.h +++ b/ggml/src/ggml-hexagon/htp/htp-ops.h @@ -57,6 +57,7 @@ int op_flash_attn_ext(struct htp_ops_context * octx); int op_set_rows(struct htp_ops_context * octx); int op_get_rows(struct htp_ops_context * octx); int op_cpy(struct htp_ops_context * octx); +int op_repeat(struct htp_ops_context * octx); int op_argsort(struct htp_ops_context * octx); int op_ssm_conv(struct htp_ops_context * octx); diff --git a/ggml/src/ggml-hexagon/htp/htp_iface.idl b/ggml/src/ggml-hexagon/htp/htp_iface.idl index 9ebd937e46..2dc716cb44 100644 --- a/ggml/src/ggml-hexagon/htp/htp_iface.idl +++ b/ggml/src/ggml-hexagon/htp/htp_iface.idl @@ -7,7 +7,7 @@ #include "remote.idl" interface htp_iface : remote_handle64 { - AEEResult start(in uint32 sess_id, in uint64 dsp_queue_id, in uint32 n_hvx); + AEEResult start(in uint32 sess_id, in uint64 dsp_queue_id, in uint32 n_hvx, in uint32 use_hmx); AEEResult stop(); AEEResult enable_etm(); AEEResult disable_etm(); diff --git a/ggml/src/ggml-hexagon/htp/hvx-base.h b/ggml/src/ggml-hexagon/htp/hvx-base.h index 578ca288fb..db05ab40d2 100644 --- a/ggml/src/ggml-hexagon/htp/hvx-base.h +++ b/ggml/src/ggml-hexagon/htp/hvx-base.h @@ -3,10 +3,15 @@ #include #include +#include +#include #include "hex-utils.h" #include "hvx-types.h" +#define hvx_vmem(A) *((HVX_Vector *)(A)) +#define hvx_vmemu(A) *((HVX_UVector *)(A)) + static inline void hvx_vec_store_u(void * restrict dst, uint32_t n, HVX_Vector v) { // Rotate as needed. v = Q6_V_vlalign_VVR(v, v, (size_t) dst); @@ -110,11 +115,15 @@ static inline HVX_VectorPred hvx_vec_is_nan_f16(HVX_Vector v) { return Q6_Q_and_QQ(p_exp, p_frac); } -static inline HVX_Vector hvx_vec_f32_to_f16(HVX_Vector v0, HVX_Vector v1) { - const HVX_Vector zero = Q6_V_vsplat_R(0); +static inline HVX_Vector hvx_vec_f32_to_f16_shuff(HVX_Vector v0, HVX_Vector v1) { + const HVX_Vector zero = Q6_V_vzero(); HVX_Vector q0 = Q6_Vqf32_vadd_VsfVsf(v0, zero); HVX_Vector q1 = Q6_Vqf32_vadd_VsfVsf(v1, zero); - HVX_Vector v = Q6_Vh_vdeal_Vh(Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(q1, q0))); + return Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(q1, q0)); +} + +static inline HVX_Vector hvx_vec_f32_to_f16(HVX_Vector v0, HVX_Vector v1) { + HVX_Vector v = Q6_Vh_vdeal_Vh(hvx_vec_f32_to_f16_shuff(v0, v1)); #if __HVX_ARCH__ < 79 // replace NaNs with -INF, older arches produce NaNs for (-INF + 0.0) @@ -126,6 +135,30 @@ static inline HVX_Vector hvx_vec_f32_to_f16(HVX_Vector v0, HVX_Vector v1) { return v; } +#if __HVX_ARCH__ >= 79 +static inline HVX_VectorPair hvx_vec_f16_to_f32_shuff(HVX_Vector v) { + const HVX_Vector one = hvx_vec_splat_f16(1.0); + HVX_VectorPair p = Q6_Wsf_vmpy_VhfVhf(v, one); + return Q6_W_vcombine_VV(Q6_V_hi_W(p), Q6_V_lo_W(p)); +} +static inline HVX_VectorPair hvx_vec_f16_to_f32(HVX_Vector v) { + const HVX_Vector one = hvx_vec_splat_f16(1.0); + HVX_VectorPair p = Q6_Wsf_vmpy_VhfVhf(Q6_Vh_vshuff_Vh(v), one); + return Q6_W_vcombine_VV(Q6_V_hi_W(p), Q6_V_lo_W(p)); +} +#else +static inline HVX_VectorPair hvx_vec_f16_to_f32_shuff(HVX_Vector v) { + const HVX_Vector one = hvx_vec_splat_f16(1.0); + HVX_VectorPair p = Q6_Wqf32_vmpy_VhfVhf(v, one); + return Q6_W_vcombine_VV(Q6_Vsf_equals_Vqf32(Q6_V_hi_W(p)), Q6_Vsf_equals_Vqf32(Q6_V_lo_W(p))); +} +static inline HVX_VectorPair hvx_vec_f16_to_f32(HVX_Vector v) { + const HVX_Vector one = hvx_vec_splat_f16(1.0); + HVX_VectorPair p = Q6_Wqf32_vmpy_VhfVhf(Q6_Vh_vshuff_Vh(v), one); + return Q6_W_vcombine_VV(Q6_Vsf_equals_Vqf32(Q6_V_hi_W(p)), Q6_Vsf_equals_Vqf32(Q6_V_lo_W(p))); +} +#endif + /* Q6_Vsf_equals_Vw is only available on v73+.*/ #if __HVX_ARCH__ < 73 static inline HVX_Vector hvx_vec_i32_to_qf32(HVX_Vector const in) diff --git a/ggml/src/ggml-hexagon/htp/hvx-exp.h b/ggml/src/ggml-hexagon/htp/hvx-exp.h index 44dfe232a3..84e4836dc9 100644 --- a/ggml/src/ggml-hexagon/htp/hvx-exp.h +++ b/ggml/src/ggml-hexagon/htp/hvx-exp.h @@ -3,6 +3,7 @@ #include #include +#include #include "hvx-base.h" #include "hvx-floor.h" @@ -16,8 +17,8 @@ #define EXP_LOGN2 (0x3F317218) // ln(2) = 0.6931471805 #define EXP_LOG2E (0x3FB8AA3B) // log2(e) = 1/ln(2) = 1.4426950408 #define EXP_ONE (0x3f800000) // 1.0 -#define EXP_RANGE_R (0x41a00000) // 20.0 -#define EXP_RANGE_L (0xc1a00000) // -20.0 +#define EXP_RANGE_R (0x42B16666) // 88.7 +#define EXP_RANGE_L (0xC2B00000) // -88.0 (approx log(FLT_MIN)) static inline HVX_Vector hvx_vec_exp_f32(HVX_Vector in_vec) { HVX_Vector z_qf32_v; @@ -47,12 +48,12 @@ static inline HVX_Vector hvx_vec_exp_f32(HVX_Vector in_vec) { HVX_Vector temp_v = in_vec; - // Clamp inputs to (-20.0, 20.0) + // Clamp inputs to (-88.0, 88.0) to avoid overflow/underflow HVX_VectorPred pred_cap_right = Q6_Q_vcmp_gt_VsfVsf(in_vec, Q6_V_vsplat_R(EXP_RANGE_R)); HVX_VectorPred pred_cap_left = Q6_Q_vcmp_gt_VsfVsf(Q6_V_vsplat_R(EXP_RANGE_L), in_vec); in_vec = Q6_V_vmux_QVV(pred_cap_right, Q6_V_vsplat_R(EXP_RANGE_R), temp_v); - in_vec = Q6_V_vmux_QVV(pred_cap_left, Q6_V_vsplat_R(EXP_RANGE_L), temp_v); + in_vec = Q6_V_vmux_QVV(pred_cap_left, Q6_V_vsplat_R(EXP_RANGE_L), in_vec); epsilon_v = Q6_Vqf32_vmpy_VsfVsf(log2e, in_vec); epsilon_v = Q6_Vsf_equals_Vqf32(epsilon_v); @@ -69,12 +70,12 @@ static inline HVX_Vector hvx_vec_exp_f32(HVX_Vector in_vec) { // normalize before every QFloat's vmpy x_qf32_v = Q6_Vqf32_vadd_Vqf32Vsf(x_qf32_v, zero_v); + x_v = Q6_Vsf_equals_Vqf32(x_qf32_v); + // z = x * x; z_qf32_v = Q6_Vqf32_vmpy_Vqf32Vqf32(x_qf32_v, x_qf32_v); z_qf32_v = Q6_Vqf32_vadd_Vqf32Vsf(z_qf32_v, zero_v); - x_v = Q6_Vsf_equals_Vqf32(x_qf32_v); - // y = E4 + E5 * x; E_const = Q6_V_vsplat_R(EXP_COEFF_5); y_v = Q6_Vqf32_vmpy_VsfVsf(E_const, x_v); @@ -145,7 +146,7 @@ static inline HVX_Vector hvx_vec_exp_f32_guard(HVX_Vector in_vec, HVX_Vector max return Q6_V_vmux_QVV(pred0, inf, out); } -static inline void hvx_exp_f32(const uint8_t * restrict src, uint8_t * restrict dst, const int num_elems, bool negate) { +static inline void hvx_exp_f32(uint8_t * restrict dst, const uint8_t * restrict src, const int num_elems, bool negate) { int left_over = num_elems & (VLEN_FP32 - 1); int num_elems_whole = num_elems - left_over; @@ -162,7 +163,7 @@ static inline void hvx_exp_f32(const uint8_t * restrict src, uint8_t * restrict HVX_Vector vec_out = Q6_V_vzero(); static const float kInf = INFINITY; - static const float kMaxExp = 88.02f; // log(INF) + static const float kMaxExp = 88.7f; const HVX_Vector max_exp = hvx_vec_splat_f32(kMaxExp); const HVX_Vector inf = hvx_vec_splat_f32(kInf); diff --git a/ggml/src/ggml-hexagon/htp/hvx-sigmoid.h b/ggml/src/ggml-hexagon/htp/hvx-sigmoid.h index 095193277e..37f3e7b6fa 100644 --- a/ggml/src/ggml-hexagon/htp/hvx-sigmoid.h +++ b/ggml/src/ggml-hexagon/htp/hvx-sigmoid.h @@ -2,6 +2,7 @@ #define HVX_SIGMOID_H #include "hvx-base.h" +#include "hvx-inverse.h" #define FAST_SIGMOID_LOG2F (0x3fb8aa3b) // 1.442695022 #define FAST_SIGMOID_C1 (0x3d009076) // 0.03138777 diff --git a/ggml/src/ggml-hexagon/htp/main.c b/ggml/src/ggml-hexagon/htp/main.c index 3f99dbb32c..ef9cba8ecc 100644 --- a/ggml/src/ggml-hexagon/htp/main.c +++ b/ggml/src/ggml-hexagon/htp/main.c @@ -25,6 +25,10 @@ #include "htp-ops.h" #include "worker-pool.h" +#ifdef HTP_HAS_HMX +#include "hmx-ops.h" +#endif // HTP_HAS_HMX + AEEResult htp_iface_open(const char * uri, remote_handle64 * handle) { struct htp_context * ctx; int err = 0; @@ -163,6 +167,9 @@ static int vtcm_acquire(struct htp_context * ctx) { } ctx->vtcm_inuse = true; + + + return 0; } @@ -246,7 +253,7 @@ static void vtcm_free(struct htp_context * ctx) { static void htp_packet_callback(dspqueue_t queue, int error, void * context); static void htp_error_callback(dspqueue_t queue, int error, void * context); -AEEResult htp_iface_start(remote_handle64 handle, uint32 sess_id, uint64 dsp_queue_id, uint32 n_hvx) { +AEEResult htp_iface_start(remote_handle64 handle, uint32 sess_id, uint64 dsp_queue_id, uint32 n_hvx, uint32 use_hmx) { struct htp_context * ctx = (struct htp_context *) handle; if (!ctx) { @@ -280,6 +287,21 @@ AEEResult htp_iface_start(remote_handle64 handle, uint32 sess_id, uint64 dsp_que return AEE_ENOMEMORY; } +#ifdef HTP_HAS_HMX + if (use_hmx) { + ctx->vtcm_scratch_size = ctx->vtcm_size; + ctx->hmx_enabled = 1; + + FARF(HIGH, "HMX enabled: vtcm-scratch %zu", ctx->vtcm_scratch_size); + } else { + // HMX disabled: skip HMX initialisation so the + // dispatch loop falls through to the HVX compute paths. + ctx->hmx_enabled = 0; + ctx->vtcm_scratch_size = ctx->vtcm_size; + FARF(HIGH, "HMX disabled (use_hmx=0): vtcm-scratch %zu", ctx->vtcm_scratch_size); + } +#endif + qurt_sysenv_max_hthreads_t hw_threads; qurt_sysenv_get_max_hw_threads(&hw_threads); uint32_t hw_nhvx = (qurt_hvx_get_units() >> 8) & 0xFF; @@ -340,6 +362,12 @@ AEEResult htp_iface_stop(remote_handle64 handle) { for (int i = 0; i < ctx->n_threads; i++) { dma_queue_delete(ctx->dma[i]); } +#ifdef HTP_HAS_HMX + if (ctx->hmx_enabled) { + ctx->hmx_enabled = 0; + } +#endif + vtcm_free(ctx); @@ -375,8 +403,9 @@ static int send_htp_rsp(struct htp_context * c, struct dspqueue_buffer * bufs, size_t n_bufs, struct profile_data * prof) { - // Prep response struct + // Prep response struct (zero-init to clear cmp/unused union) struct htp_general_rsp rsp; + memset(&rsp, 0, sizeof(rsp)); rsp.op = op; rsp.status = status; rsp.prof_usecs = prof->usecs; @@ -516,6 +545,39 @@ static void proc_cpy_req(struct htp_context * ctx, struct htp_general_req * req, send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof); } +static void proc_repeat_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) { + struct dspqueue_buffer rsp_bufs[1]; + + // We had written to the output buffer, we'd also need to flush it + rsp_bufs[0].fd = bufs[1].fd; + rsp_bufs[0].ptr = bufs[1].ptr; + rsp_bufs[0].offset = bufs[1].offset; + rsp_bufs[0].size = bufs[1].size; + rsp_bufs[0].flags = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER | // Flush HTP + DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT); // Invalidate CPU + + // Setup Op context + struct htp_ops_context octx = { 0 }; + octx.ctx = ctx; + octx.src0 = req->src0; + octx.dst = req->dst; + octx.flags = req->flags; + octx.op = req->op; + + // Update data pointers + octx.src0.data = (uint32_t) bufs[0].ptr; + octx.dst.data = (uint32_t) bufs[1].ptr; + octx.n_threads = ctx->n_threads; + + struct profile_data prof; + profile_start(&prof); + + uint32_t rsp_status = op_repeat(&octx); + + profile_stop(&prof); + send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof); +} + static void proc_get_rows_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) { struct dspqueue_buffer rsp_bufs[1]; @@ -1004,6 +1066,210 @@ static void proc_flash_attn_ext_req(struct htp_context * ctx, send_htp_rsp(ctx, req->op, rsp_status, &bufs[last_buf], 1, &prof); } +#ifdef HTP_HAS_HMX +// --------------------------------------------------------------------------- +// HMX operation wrappers — self-contained, bypass htp_ops_context / htp_spad. +// VTCM, DMA and thread dispatch are managed inside the HMX kernels. +// --------------------------------------------------------------------------- + +static void proc_hmx_matmul_req(struct htp_context * ctx, + struct htp_general_req * req, + struct dspqueue_buffer * bufs, + size_t n_bufs) { + // HMX weight tile requires N to be 32-aligned. + if (req->src0.ne[1] % 32 != 0) { + proc_matmul_req(ctx, req, bufs, n_bufs); + return; + } + + const bool is_batched = (req->src0.ne[2] * req->src0.ne[3] > 1 || + req->src1.ne[2] * req->src1.ne[3] > 1); + + // Quantised HMX kernels only handle flat 2D matmul (host already rejects + // batched quantised, but guard here too). F16 batched matmul is handled + // by the dedicated wrapper in hmx-matmul-ops.c. + if (is_batched && + req->src0.type != HTP_TYPE_F16) { + proc_matmul_req(ctx, req, bufs, n_bufs); + return; + } + + // HMX assumes contiguous row-major layout. Fall back for permuted + // tensors where strides are non-monotonic (e.g. transposed KV cache). + if (req->src0.nb[0] > req->src0.nb[1] || + req->src1.nb[0] > req->src1.nb[1]) { + proc_matmul_req(ctx, req, bufs, n_bufs); + return; + } + + // M alignment: when M > 32 but not 32-aligned, we split into + // HMX (first m_hmx = M & ~31 rows) + HVX (remaining m_tail rows). + // When M <= 32 and not 32-aligned, fall back entirely to HVX. + const int m_total = (int) req->src1.ne[1]; + const int m_tail = m_total % 32; + const int m_hmx = m_total - m_tail; + + if (m_hmx == 0) { + proc_matmul_req(ctx, req, bufs, n_bufs); + return; + } + + // HMX only supports F16, Q4_0, Q8_0, IQ4_NL weights. + // Other types (e.g. MXFP4) fall back to HVX. + { + uint32_t wtype = req->src0.type; + if (wtype != HTP_TYPE_F16 && + wtype != HTP_TYPE_Q4_0 && + wtype != HTP_TYPE_Q8_0 && + wtype != HTP_TYPE_IQ4_NL) { + proc_matmul_req(ctx, req, bufs, n_bufs); + return; + } + // Quantised HMX path requires K aligned to 256 (x4x2 super-block). + // F16 HMX path requires K aligned to 32 (tile width). + if (wtype != HTP_TYPE_F16 && req->src0.ne[0] % 256 != 0) { + proc_matmul_req(ctx, req, bufs, n_bufs); + return; + } + if (wtype == HTP_TYPE_F16 && req->src0.ne[0] % 32 != 0) { + proc_matmul_req(ctx, req, bufs, n_bufs); + return; + } + } + + (void) n_bufs; + + struct dspqueue_buffer rsp_bufs[1]; + rsp_bufs[0].fd = bufs[2].fd; + rsp_bufs[0].ptr = bufs[2].ptr; + rsp_bufs[0].size = bufs[2].size; + rsp_bufs[0].offset = bufs[2].offset; + rsp_bufs[0].flags = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER | + DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT); + + // src0 = weights, src1 = activation, dst = output + void * wgt = (void *) bufs[0].ptr; + float * act = (float *) bufs[1].ptr; + float * dst = (float *) bufs[2].ptr; + + int k = (int) req->src0.ne[0]; // inner dimension + int n = (int) req->src0.ne[1]; // weight columns + + + struct profile_data prof; + profile_start(&prof); + + uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR; + + // --- Phase 1: HMX on the first m_hmx (32-aligned) rows --- + if (vtcm_acquire(ctx) == AEE_SUCCESS) { + int ret = -1; + + const int ne02 = (int) req->src0.ne[2]; + const int ne03 = (int) req->src0.ne[3]; + const int ne12 = (int) req->src1.ne[2]; + const int ne13 = (int) req->src1.ne[3]; + // Row strides in elements. For compact tensors these equal k; for + // permuted attention views they can be larger, so pass the real stride. + const int act_stride = (int)(req->src1.nb[1] / sizeof(float)); + const int weight_stride = (int)(req->src0.nb[1] / sizeof(__fp16)); + + switch (req->src0.type) { + case HTP_TYPE_F16: + if (is_batched) { + hmx_matmul_w16a32_batched_params_t batch_params = { + .dst = dst, + .activation = act, + .permuted_weight = (const __fp16 *) wgt, + .m = m_hmx, + .k = k, + .n = n, + .act_stride = act_stride, + .weight_stride = weight_stride, + .dst_stride = (int)(req->dst.nb[1] / sizeof(float)), + .ne02 = ne02, + .ne03 = ne03, + .ne12 = ne12, + .ne13 = ne13, + .src0_nb2 = req->src0.nb[2], + .src0_nb3 = req->src0.nb[3], + .src1_nb2 = req->src1.nb[2], + .src1_nb3 = req->src1.nb[3], + .dst_nb2 = req->dst.nb[2], + .dst_nb3 = req->dst.nb[3], + }; + ret = hmx_mat_mul_permuted_w16a32_batched(ctx, &batch_params); + } else { + ret = hmx_mat_mul_permuted_w16a32(ctx, dst, act, + (const __fp16 *) wgt, + m_hmx, k, n, + act_stride, + weight_stride); + } + break; + default: + ret = hmx_mat_mul_permuted_qk_0_d16a32(ctx, dst, act, + (const uint8_t *) wgt, + m_hmx, k, n, (int) req->src0.type); + break; + } + + if (ret == 0) { + rsp_status = HTP_STATUS_OK; + } else { + FARF(HIGH, "HMX matmul failed (ret=%d), falling back to HVX", ret); + vtcm_release(ctx); + req->flags &= ~HTP_OPFLAGS_SKIP_QUANTIZE; + proc_matmul_req(ctx, req, bufs, n_bufs); + return; + } + vtcm_release(ctx); + } + + // --- Phase 2: HVX on the remaining m_tail rows --- + if (m_tail > 0 && rsp_status == HTP_STATUS_OK) { + struct htp_ops_context octx = { 0 }; + octx.ctx = ctx; + octx.src0 = req->src0; // weights: unchanged + octx.src1 = req->src1; + octx.src1.ne[1] = m_tail; // only tail rows + octx.dst = req->dst; + octx.dst.ne[1] = m_tail; // only tail rows + // Always re-quantize tail src1: HMX Phase 1 overwrites VTCM, + // so any previously cached quantized data (SKIP_QUANTIZE pipeline) + // is invalid. + octx.flags = req->flags & ~HTP_OPFLAGS_SKIP_QUANTIZE; + octx.op = req->op; + octx.n_threads = ctx->n_threads; + + // Offset activation and dst pointers past the HMX-processed rows. + // Use nb[1] (row stride in bytes) to compute the byte offset. + octx.src0.data = (uint32_t) bufs[0].ptr; + octx.src1.data = (uint32_t)((uint8_t *) bufs[1].ptr + (size_t) m_hmx * req->src1.nb[1]); + octx.dst.data = (uint32_t)((uint8_t *) bufs[2].ptr + (size_t) m_hmx * req->dst.nb[1]); + + FARF(HIGH, "proc_hmx_matmul: HVX tail m_tail=%d act=%p dst=%p", + m_tail, (void *)(uintptr_t) octx.src1.data, (void *)(uintptr_t) octx.dst.data); + + if (vtcm_acquire(ctx) == AEE_SUCCESS) { + uint32_t hvx_ret = op_matmul(&octx); + vtcm_release(ctx); + if (hvx_ret != HTP_STATUS_OK) { + FARF(ERROR, "HVX tail matmul failed (ret=%u)", hvx_ret); + rsp_status = HTP_STATUS_INTERNAL_ERR; + } + } else { + rsp_status = HTP_STATUS_INTERNAL_ERR; + } + } + + profile_stop(&prof); + + send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof); +} + +#endif // HTP_HAS_HMX + static void htp_packet_callback(dspqueue_t queue, int error, void * context) { struct htp_context * ctx = (struct htp_context *) context; @@ -1056,7 +1322,14 @@ static void htp_packet_callback(dspqueue_t queue, int error, void * context) { FARF(ERROR, "Bad matmul-req buffer list"); continue; } - proc_matmul_req(ctx, &req, bufs, n_bufs); +#ifdef HTP_HAS_HMX + if (ctx->hmx_enabled) { + proc_hmx_matmul_req(ctx, &req, bufs, n_bufs); + } else +#endif + { + proc_matmul_req(ctx, &req, bufs, n_bufs); + } break; case HTP_OP_MUL_MAT_ID: @@ -1090,6 +1363,10 @@ static void htp_packet_callback(dspqueue_t queue, int error, void * context) { case HTP_OP_SQR: case HTP_OP_SQRT: + case HTP_OP_UNARY_NEG: + case HTP_OP_UNARY_EXP: + case HTP_OP_UNARY_SIGMOID: + case HTP_OP_UNARY_SOFTPLUS: if (n_bufs != 2) { FARF(ERROR, "Bad unary-req buffer list"); continue; @@ -1175,6 +1452,14 @@ static void htp_packet_callback(dspqueue_t queue, int error, void * context) { proc_cpy_req(ctx, &req, bufs); break; + case HTP_OP_REPEAT: + if (n_bufs != 2) { + FARF(ERROR, "Bad repeat-req buffer list"); + continue; + } + proc_repeat_req(ctx, &req, bufs); + break; + case HTP_OP_ARGSORT: if (n_bufs != 2) { FARF(ERROR, "Bad argsort-req buffer list"); diff --git a/ggml/src/ggml-hexagon/htp/matmul-ops.c b/ggml/src/ggml-hexagon/htp/matmul-ops.c index 9ca74aedfe..73aaba79eb 100644 --- a/ggml/src/ggml-hexagon/htp/matmul-ops.c +++ b/ggml/src/ggml-hexagon/htp/matmul-ops.c @@ -77,7 +77,7 @@ static inline size_t q8x4x2_row_size(uint32_t ne) { return hex_round_up(ne + nb * 8 * sizeof(__fp16), 128); } -static inline HVX_Vector_x8 hvx_vec_load_q4x4x8(const uint8_t * restrict ptr) { +static inline HVX_Vector_x8 hvx_vec_load_q4x4x8_full(const uint8_t * restrict ptr) { const HVX_Vector * restrict vptr = (const HVX_Vector *) ptr; HVX_Vector v0_1 = vptr[0]; // first 256 elements (128 bytes) @@ -88,9 +88,9 @@ static inline HVX_Vector_x8 hvx_vec_load_q4x4x8(const uint8_t * restrict ptr) { const HVX_Vector mask_h4 = Q6_Vb_vsplat_R(0x0F); const HVX_Vector i8 = Q6_Vb_vsplat_R(8); - HVX_Vector v0 = Q6_V_vand_VV(v0_1, mask_h4); // & 0x0F - HVX_Vector v1 = Q6_Vub_vlsr_VubR(v0_1, 4); // >> 4 - HVX_Vector v2 = Q6_V_vand_VV(v2_3, mask_h4); // & 0x0F + HVX_Vector v0 = Q6_V_vand_VV(v0_1, mask_h4); // & 0x0F : first 128 elements + HVX_Vector v1 = Q6_Vub_vlsr_VubR(v0_1, 4); // >> 4 : second 128 elements + HVX_Vector v2 = Q6_V_vand_VV(v2_3, mask_h4); // & 0x0F ... HVX_Vector v3 = Q6_Vub_vlsr_VubR(v2_3, 4); // >> 4 HVX_Vector v4 = Q6_V_vand_VV(v4_5, mask_h4); // & 0x0F HVX_Vector v5 = Q6_Vub_vlsr_VubR(v4_5, 4); // >> 4 @@ -111,7 +111,41 @@ static inline HVX_Vector_x8 hvx_vec_load_q4x4x8(const uint8_t * restrict ptr) { return r; } -static inline HVX_Vector_x8 hvx_vec_load_mxfp4x4x8(const uint8_t * restrict ptr) { +static HVX_Vector_x8 hvx_vec_load_q4x4x8_partial(const uint8_t * restrict ptr, uint32_t n) { + const HVX_Vector * restrict vptr = (const HVX_Vector *) ptr; + + const uint32_t qk = QK_Q4_0x4x2; // 256 + const uint32_t nb = n / qk; + const uint32_t nloe = n % qk; + + const HVX_Vector mask_h4 = Q6_Vb_vsplat_R(0x0F); + const HVX_Vector i8 = Q6_Vb_vsplat_R(8); + + HVX_Vector_x8 r; + uint32_t i = 0; + + #pragma unroll(2) + for (i=0; i < nb; i++) { + HVX_Vector v = vptr[i]; // 256 elements (128 bytes) + HVX_Vector v0 = Q6_V_vand_VV(v, mask_h4); // & 0x0F : first 128 elements + HVX_Vector v1 = Q6_Vub_vlsr_VubR(v, 4); // >> 4 : second 128 elements + r.v[i*2+0] = Q6_Vb_vsub_VbVb(v0, i8); + r.v[i*2+1] = Q6_Vb_vsub_VbVb(v1, i8); + } + + if (nloe) { + HVX_Vector v = vptr[i]; // 256 elements (128 bytes) + HVX_Vector v0 = Q6_V_vand_VV(v, mask_h4); // & 0x0F : even 128 elements + HVX_Vector v1 = Q6_Vub_vlsr_VubR(v, 4); // >> 4 : odd 128 elements + HVX_VectorPair v0_1_p = Q6_W_vshuff_VVR(v1, v0, -1); // zip even:odd:... + r.v[i*2+0] = Q6_Vb_vsub_VbVb(Q6_V_lo_W(v0_1_p), i8); + r.v[i*2+1] = Q6_Vb_vsub_VbVb(Q6_V_hi_W(v0_1_p), i8); + } + + return r; +} + +static inline HVX_Vector_x8 hvx_vec_load_mxfp4x4x8_full(const uint8_t * restrict ptr) { const HVX_Vector * restrict vptr = (const HVX_Vector *) ptr; HVX_Vector v0_1 = vptr[0]; // first 256 elements (128 bytes) @@ -144,7 +178,41 @@ static inline HVX_Vector_x8 hvx_vec_load_mxfp4x4x8(const uint8_t * restrict ptr) return r; } -static inline HVX_Vector_x8 hvx_vec_load_q8x4x8(const uint8_t * restrict ptr) { +static inline HVX_Vector_x8 hvx_vec_load_mxfp4x4x8_partial(const uint8_t * restrict ptr, uint32_t n) { + const HVX_Vector * restrict vptr = (const HVX_Vector *) ptr; + + const uint32_t qk = QK_Q4_0x4x2; // 256 + const uint32_t nb = n / qk; + const uint32_t nloe = n % qk; + + const HVX_Vector mask_h4 = Q6_Vb_vsplat_R(0x0F); + const HVX_Vector lut = *(const HVX_Vector *) kvalues_mxfp4_lut; + + HVX_Vector_x8 r; + uint32_t i = 0; + + #pragma unroll(2) + for (i=0; i < nb; i++) { + HVX_Vector v = vptr[i]; // 256 elements (128 bytes) + HVX_Vector v0 = Q6_V_vand_VV(v, mask_h4); // & 0x0F : first 128 elements + HVX_Vector v1 = Q6_Vub_vlsr_VubR(v, 4); // >> 4 : second 128 elements + r.v[i*2+0] = Q6_Vb_vlut32_VbVbI(v0, lut, 0); + r.v[i*2+1] = Q6_Vb_vlut32_VbVbI(v1, lut, 0); + } + + if (nloe) { + HVX_Vector v = vptr[i]; // 256 elements (128 bytes) + HVX_Vector v0 = Q6_V_vand_VV(v, mask_h4); // & 0x0F : even 128 elements + HVX_Vector v1 = Q6_Vub_vlsr_VubR(v, 4); // >> 4 : odd 128 elements + HVX_VectorPair v0_1_p = Q6_W_vshuff_VVR(v1, v0, -1); // zip even:odd:... + r.v[i*2+0] = Q6_Vb_vlut32_VbVbI(Q6_V_lo_W(v0_1_p), lut, 0); + r.v[i*2+1] = Q6_Vb_vlut32_VbVbI(Q6_V_hi_W(v0_1_p), lut, 0); + } + + return r; +} + +static inline HVX_Vector_x8 hvx_vec_load_q8x4x8_full(const uint8_t * restrict ptr) { const HVX_Vector * restrict vptr = (const HVX_Vector *) ptr; HVX_Vector v0 = vptr[0]; // first 128 vals @@ -160,6 +228,10 @@ static inline HVX_Vector_x8 hvx_vec_load_q8x4x8(const uint8_t * restrict ptr) { return r; } +static inline HVX_Vector_x8 hvx_vec_load_q8x4x8_partial(const uint8_t * restrict ptr, uint32_t nloe) { + return hvx_vec_load_q8x4x8_full(ptr); +} + // Reduce multiply 1024 x 1024 int8 elements (32x q4/8 blocks in 8x HVX vectors). // Accumulate each block into a single int32 value. // Return a single HVX vector with 32x int32 accumulators. @@ -167,14 +239,14 @@ static inline HVX_Vector_x8 hvx_vec_load_q8x4x8(const uint8_t * restrict ptr) { // if() checks are optimized out at compile time -- make sure to pass N as a constexpr. static inline HVX_Vector hvx_vec_rmpy_x8_n(HVX_Vector_x8 x, HVX_Vector_x8 y, unsigned int n) { - HVX_Vector r0 = Q6_V_vsplat_R(0); - HVX_Vector r1 = Q6_V_vsplat_R(0); - HVX_Vector r2 = Q6_V_vsplat_R(0); - HVX_Vector r3 = Q6_V_vsplat_R(0); - HVX_Vector r4 = Q6_V_vsplat_R(0); - HVX_Vector r5 = Q6_V_vsplat_R(0); - HVX_Vector r6 = Q6_V_vsplat_R(0); - HVX_Vector r7 = Q6_V_vsplat_R(0); + HVX_Vector r0 = Q6_V_vzero(); + HVX_Vector r1 = Q6_V_vzero(); + HVX_Vector r2 = Q6_V_vzero(); + HVX_Vector r3 = Q6_V_vzero(); + HVX_Vector r4 = Q6_V_vzero(); + HVX_Vector r5 = Q6_V_vzero(); + HVX_Vector r6 = Q6_V_vzero(); + HVX_Vector r7 = Q6_V_vzero(); HVX_VectorPair p3; HVX_VectorPair p2; @@ -213,15 +285,42 @@ static inline HVX_Vector hvx_vec_rmpy_x8_n(HVX_Vector_x8 x, HVX_Vector_x8 y, uns } static inline HVX_Vector hvx_vec_rmpy_x8_full(HVX_Vector_x8 x, HVX_Vector_x8 y) { - return hvx_vec_rmpy_x8_n(x, y, 1024); + HVX_Vector r0 = Q6_Vw_vrmpy_VbVb(x.v[0], y.v[0]); + HVX_Vector r1 = Q6_Vw_vrmpy_VbVb(x.v[1], y.v[1]); + HVX_Vector r2 = Q6_Vw_vrmpy_VbVb(x.v[2], y.v[2]); + HVX_Vector r3 = Q6_Vw_vrmpy_VbVb(x.v[3], y.v[3]); + HVX_Vector r4 = Q6_Vw_vrmpy_VbVb(x.v[4], y.v[4]); + HVX_Vector r5 = Q6_Vw_vrmpy_VbVb(x.v[5], y.v[5]); + HVX_Vector r6 = Q6_Vw_vrmpy_VbVb(x.v[6], y.v[6]); + HVX_Vector r7 = Q6_Vw_vrmpy_VbVb(x.v[7], y.v[7]); + + HVX_VectorPair p0 = Q6_W_vdeal_VVR(r1, r0, -4); + HVX_VectorPair p1 = Q6_W_vdeal_VVR(r3, r2, -4); + HVX_VectorPair p2 = Q6_W_vdeal_VVR(r5, r4, -4); + HVX_VectorPair p3 = Q6_W_vdeal_VVR(r7, r6, -4); + + r0 = Q6_Vw_vadd_VwVw(Q6_V_lo_W(p0), Q6_V_hi_W(p0)); + r1 = Q6_Vw_vadd_VwVw(Q6_V_lo_W(p1), Q6_V_hi_W(p1)); + r2 = Q6_Vw_vadd_VwVw(Q6_V_lo_W(p2), Q6_V_hi_W(p2)); + r3 = Q6_Vw_vadd_VwVw(Q6_V_lo_W(p3), Q6_V_hi_W(p3)); + + p0 = Q6_W_vdeal_VVR(r1, r0, -4); + p1 = Q6_W_vdeal_VVR(r3, r2, -4); + + r0 = Q6_Vw_vadd_VwVw(Q6_V_lo_W(p0), Q6_V_hi_W(p0)); + r1 = Q6_Vw_vadd_VwVw(Q6_V_lo_W(p1), Q6_V_hi_W(p1)); + + p0 = Q6_W_vdeal_VVR(r1, r0, -4); + r0 = Q6_Vw_vadd_VwVw(Q6_V_lo_W(p0), Q6_V_hi_W(p0)); + + return r0; } -// Handle most common cases of tensors not multiple of 1024. -static inline HVX_Vector hvx_vec_rmpy_x8_nloe(HVX_Vector_x8 x, HVX_Vector_x8 y, unsigned int n) { - if (n <= 256) { return hvx_vec_rmpy_x8_n(x, y, 256); }; - if (n <= 512) { return hvx_vec_rmpy_x8_n(x, y, 512); }; - if (n <= 768) { return hvx_vec_rmpy_x8_n(x, y, 768); }; - return hvx_vec_rmpy_x8_n(x, y, 1024); +static inline HVX_Vector hvx_vec_rmpy_x8_partial(HVX_Vector_x8 x, HVX_Vector_x8 y, unsigned int n) { + if (n >= 512) + return hvx_vec_rmpy_x8_full(x, y); + + return hvx_vec_rmpy_x8_partial(x, y, 512); } static void vec_dot_q4x4x2_q8x4x2_1x1(const int n, float * restrict s0, const void * restrict vx0, const void * restrict vy0) { @@ -246,7 +345,7 @@ static void vec_dot_q4x4x2_q8x4x2_1x1(const int n, float * restrict s0, const vo const uint8_t * restrict y_d = ((const uint8_t *) vy0 + y_qrow_size); // then scales // Row sum (sf) - HVX_Vector r0_sum = Q6_V_vsplat_R(0); + HVX_Vector r0_sum = Q6_V_vzero(); // Multiply and accumulate into int32. // Compute combined scale (fp32). @@ -257,12 +356,12 @@ static void vec_dot_q4x4x2_q8x4x2_1x1(const int n, float * restrict s0, const vo uint32_t i = 0; for (; i < nb; i++) { - HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8(y_q + i * y_qblk_size); - HVX_Vector_x8 r0_q = hvx_vec_load_q4x4x8(r0_x_q + i * x_qblk_size); + HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8_full(y_q + i * y_qblk_size); + HVX_Vector_x8 r0_q = hvx_vec_load_q4x4x8_full(r0_x_q + i * x_qblk_size); HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy_q)); - HVX_Vector vy_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y_d + i * y_dblk_size)); + HVX_Vector vy_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y_d + i * y_dblk_size)); HVX_Vector r0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size)); HVX_Vector r0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy_d))); @@ -272,19 +371,19 @@ static void vec_dot_q4x4x2_q8x4x2_1x1(const int n, float * restrict s0, const vo r0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_fa, r0_sum)); } - // Process leftovers, we still load full 4x4x2 block but zero out unused scales/blocks + // Process leftovers if (nloe) { - HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8(y_q + i * y_qblk_size); - HVX_Vector_x8 r0_q = hvx_vec_load_q4x4x8(r0_x_q + i * x_qblk_size); + HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8_partial(y_q + i * y_qblk_size, nloe); + HVX_Vector_x8 r0_q = hvx_vec_load_q4x4x8_partial(r0_x_q + i * x_qblk_size, nloe); - HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r0_q, vy_q, nloe)); + HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r0_q, vy_q, nloe)); - HVX_Vector vy_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y_d + i * y_dblk_size)); + HVX_Vector vy_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y_d + i * y_dblk_size)); HVX_Vector r0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size)); HVX_Vector r0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy_d))); - // Zero out unused scales + // Zero out unused elements HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe / 8); r0_dd = Q6_V_vand_QV(bmask, r0_dd); r0_ia = Q6_V_vand_QV(bmask, r0_ia); @@ -326,8 +425,8 @@ static void vec_dot_q4x4x2_q8x4x2_2x1(const int n, float * restrict s0, const uint8_t * restrict y_d = ((const uint8_t *) vy0 + y_qrow_size); // then scales // Row sum (sf) - HVX_Vector r0_sum = Q6_V_vsplat_R(0); - HVX_Vector r1_sum = Q6_V_vsplat_R(0); + HVX_Vector r0_sum = Q6_V_vzero(); + HVX_Vector r1_sum = Q6_V_vzero(); // Multiply and accumulate into int32. // Compute combined scale (fp32). @@ -338,14 +437,14 @@ static void vec_dot_q4x4x2_q8x4x2_2x1(const int n, float * restrict s0, uint32_t i = 0; for (; i < nb; i++) { - HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8(y_q + i * y_qblk_size); - HVX_Vector_x8 r0_q = hvx_vec_load_q4x4x8(r0_x_q + i * x_qblk_size); - HVX_Vector_x8 r1_q = hvx_vec_load_q4x4x8(r1_x_q + i * x_qblk_size); + HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8_full(y_q + i * y_qblk_size); + HVX_Vector_x8 r0_q = hvx_vec_load_q4x4x8_full(r0_x_q + i * x_qblk_size); + HVX_Vector_x8 r1_q = hvx_vec_load_q4x4x8_full(r1_x_q + i * x_qblk_size); HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy_q)); HVX_Vector r1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r1_q, vy_q)); - HVX_Vector vy_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y_d + i * y_dblk_size)); + HVX_Vector vy_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y_d + i * y_dblk_size)); HVX_Vector r0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size)); HVX_Vector r1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r1_x_d + i * x_dblk_size)); @@ -359,23 +458,23 @@ static void vec_dot_q4x4x2_q8x4x2_2x1(const int n, float * restrict s0, r1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_fa, r1_sum)); } - // Process leftovers, we still load full 4x4x2 block but zero out unused scales/blocks + // Process leftovers if (nloe) { - HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8(y_q + i * y_qblk_size); - HVX_Vector_x8 r0_q = hvx_vec_load_q4x4x8(r0_x_q + i * x_qblk_size); - HVX_Vector_x8 r1_q = hvx_vec_load_q4x4x8(r1_x_q + i * x_qblk_size); + HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8_partial(y_q + i * y_qblk_size, nloe); + HVX_Vector_x8 r0_q = hvx_vec_load_q4x4x8_partial(r0_x_q + i * x_qblk_size, nloe); + HVX_Vector_x8 r1_q = hvx_vec_load_q4x4x8_partial(r1_x_q + i * x_qblk_size, nloe); - HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r0_q, vy_q, nloe)); - HVX_Vector r1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r1_q, vy_q, nloe)); + HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r0_q, vy_q, nloe)); + HVX_Vector r1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r1_q, vy_q, nloe)); - HVX_Vector vy_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y_d + i * y_dblk_size)); + HVX_Vector vy_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y_d + i * y_dblk_size)); HVX_Vector r0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size)); HVX_Vector r1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r1_x_d + i * x_dblk_size)); HVX_Vector r0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy_d))); HVX_Vector r1_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r1_d, vy_d))); - // Zero out unused scales + // Zero out unused elements HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe / 8); r0_dd = Q6_V_vand_QV(bmask, r0_dd); r1_dd = Q6_V_vand_QV(bmask, r1_dd); @@ -423,10 +522,10 @@ static void vec_dot_q4x4x2_q8x4x2_2x2(const int n, float * restrict s0, float * const uint8_t * restrict y1_d = ((const uint8_t *) vy1) + y_qrow_size; // then scales // Row sums (sf) - 4 accumulators for 2×2 tile - HVX_Vector r0_c0_sum = Q6_V_vsplat_R(0); - HVX_Vector r0_c1_sum = Q6_V_vsplat_R(0); - HVX_Vector r1_c0_sum = Q6_V_vsplat_R(0); - HVX_Vector r1_c1_sum = Q6_V_vsplat_R(0); + HVX_Vector r0_c0_sum = Q6_V_vzero(); + HVX_Vector r0_c1_sum = Q6_V_vzero(); + HVX_Vector r1_c0_sum = Q6_V_vzero(); + HVX_Vector r1_c1_sum = Q6_V_vzero(); const uint32_t nb = n / qk; // num full blocks const uint32_t nloe = n % qk; // num leftover elements @@ -434,12 +533,12 @@ static void vec_dot_q4x4x2_q8x4x2_2x2(const int n, float * restrict s0, float * uint32_t i = 0; for (; i < nb; i++) { // Load src1 columns (reused across both src0 rows) - HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8(y0_q + i * y_qblk_size); - HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8(y1_q + i * y_qblk_size); + HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8_full(y0_q + i * y_qblk_size); + HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8_full(y1_q + i * y_qblk_size); // Load src0 rows (reused across both src1 columns) - HVX_Vector_x8 r0_q = hvx_vec_load_q4x4x8(r0_x_q + i * x_qblk_size); - HVX_Vector_x8 r1_q = hvx_vec_load_q4x4x8(r1_x_q + i * x_qblk_size); + HVX_Vector_x8 r0_q = hvx_vec_load_q4x4x8_full(r0_x_q + i * x_qblk_size); + HVX_Vector_x8 r1_q = hvx_vec_load_q4x4x8_full(r1_x_q + i * x_qblk_size); // Compute 4 dot products: r0×c0, r0×c1, r1×c0, r1×c1 HVX_Vector r0_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy0_q)); @@ -448,8 +547,8 @@ static void vec_dot_q4x4x2_q8x4x2_2x2(const int n, float * restrict s0, float * HVX_Vector r1_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r1_q, vy1_q)); // Load scales - HVX_Vector vy0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y0_d + i * y_dblk_size)); - HVX_Vector vy1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y1_d + i * y_dblk_size)); + HVX_Vector vy0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y0_d + i * y_dblk_size)); + HVX_Vector vy1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y1_d + i * y_dblk_size)); HVX_Vector r0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size)); HVX_Vector r1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r1_x_d + i * x_dblk_size)); @@ -473,18 +572,18 @@ static void vec_dot_q4x4x2_q8x4x2_2x2(const int n, float * restrict s0, float * // Process leftovers if (nloe) { - HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8(y0_q + i * y_qblk_size); - HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8(y1_q + i * y_qblk_size); - HVX_Vector_x8 r0_q = hvx_vec_load_q4x4x8(r0_x_q + i * x_qblk_size); - HVX_Vector_x8 r1_q = hvx_vec_load_q4x4x8(r1_x_q + i * x_qblk_size); + HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8_partial(y0_q + i * y_qblk_size, nloe); + HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8_partial(y1_q + i * y_qblk_size, nloe); + HVX_Vector_x8 r0_q = hvx_vec_load_q4x4x8_partial(r0_x_q + i * x_qblk_size, nloe); + HVX_Vector_x8 r1_q = hvx_vec_load_q4x4x8_partial(r1_x_q + i * x_qblk_size, nloe); - HVX_Vector r0_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r0_q, vy0_q, nloe)); - HVX_Vector r0_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r0_q, vy1_q, nloe)); - HVX_Vector r1_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r1_q, vy0_q, nloe)); - HVX_Vector r1_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r1_q, vy1_q, nloe)); + HVX_Vector r0_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r0_q, vy0_q, nloe)); + HVX_Vector r0_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r0_q, vy1_q, nloe)); + HVX_Vector r1_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r1_q, vy0_q, nloe)); + HVX_Vector r1_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r1_q, vy1_q, nloe)); - HVX_Vector vy0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y0_d + i * y_dblk_size)); - HVX_Vector vy1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y1_d + i * y_dblk_size)); + HVX_Vector vy0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y0_d + i * y_dblk_size)); + HVX_Vector vy1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y1_d + i * y_dblk_size)); HVX_Vector r0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size)); HVX_Vector r1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r1_x_d + i * x_dblk_size)); @@ -545,7 +644,7 @@ static void vec_dot_q8x4x2_q8x4x2_1x1(const int n, float * restrict s0, const vo const uint8_t * restrict y_d = ((const uint8_t *) vy0 + y_qrow_size); // then scales // Row sum (sf) - HVX_Vector r0_sum = Q6_V_vsplat_R(0); + HVX_Vector r0_sum = Q6_V_vzero(); // Multiply and accumulate into int32. // Compute combined scale (fp32). @@ -556,12 +655,12 @@ static void vec_dot_q8x4x2_q8x4x2_1x1(const int n, float * restrict s0, const vo uint32_t i = 0; for (; i < nb; i++) { - HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8(y_q + i * y_qblk_size); - HVX_Vector_x8 r0_q = hvx_vec_load_q8x4x8(r0_x_q + i * x_qblk_size); + HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8_full(y_q + i * y_qblk_size); + HVX_Vector_x8 r0_q = hvx_vec_load_q8x4x8_full(r0_x_q + i * x_qblk_size); HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy_q)); - HVX_Vector vy_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y_d + i * y_dblk_size)); + HVX_Vector vy_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y_d + i * y_dblk_size)); HVX_Vector r0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size)); HVX_Vector r0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy_d))); @@ -571,19 +670,19 @@ static void vec_dot_q8x4x2_q8x4x2_1x1(const int n, float * restrict s0, const vo r0_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r0_fa, r0_sum)); } - // Process leftovers, we still load full 4x4x2 block but zero out unused scales/blocks + // Process leftovers if (nloe) { - HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8(y_q + i * y_qblk_size); - HVX_Vector_x8 r0_q = hvx_vec_load_q8x4x8(r0_x_q + i * x_qblk_size); + HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8_partial(y_q + i * y_qblk_size, nloe); + HVX_Vector_x8 r0_q = hvx_vec_load_q8x4x8_partial(r0_x_q + i * x_qblk_size, nloe); - HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r0_q, vy_q, nloe)); + HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r0_q, vy_q, nloe)); - HVX_Vector vy_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y_d + i * y_dblk_size)); + HVX_Vector vy_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y_d + i * y_dblk_size)); HVX_Vector r0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size)); HVX_Vector r0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy_d))); - // Zero out unused scales + // Zero out unused elements HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe / 8); r0_dd = Q6_V_vand_QV(bmask, r0_dd); r0_ia = Q6_V_vand_QV(bmask, r0_ia); @@ -625,8 +724,8 @@ static void vec_dot_q8x4x2_q8x4x2_2x1(const int n, float * restrict s0, const uint8_t * restrict y_d = ((const uint8_t *) vy0 + y_qrow_size); // then scales // Row sum (qf32) - HVX_Vector r0_sum = Q6_V_vsplat_R(0); - HVX_Vector r1_sum = Q6_V_vsplat_R(0); + HVX_Vector r0_sum = Q6_V_vzero(); + HVX_Vector r1_sum = Q6_V_vzero(); // Multiply and accumulate into int32. // Compute combined scale (fp32). @@ -637,14 +736,14 @@ static void vec_dot_q8x4x2_q8x4x2_2x1(const int n, float * restrict s0, uint32_t i = 0; for (; i < nb; i++) { - HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8(y_q + i * y_qblk_size); - HVX_Vector_x8 r0_q = hvx_vec_load_q8x4x8(r0_x_q + i * x_qblk_size); - HVX_Vector_x8 r1_q = hvx_vec_load_q8x4x8(r1_x_q + i * x_qblk_size); + HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8_full(y_q + i * y_qblk_size); + HVX_Vector_x8 r0_q = hvx_vec_load_q8x4x8_full(r0_x_q + i * x_qblk_size); + HVX_Vector_x8 r1_q = hvx_vec_load_q8x4x8_full(r1_x_q + i * x_qblk_size); HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy_q)); HVX_Vector r1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r1_q, vy_q)); - HVX_Vector vy_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y_d + i * y_dblk_size)); + HVX_Vector vy_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y_d + i * y_dblk_size)); HVX_Vector r0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size)); HVX_Vector r1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r1_x_d + i * x_dblk_size)); @@ -658,14 +757,14 @@ static void vec_dot_q8x4x2_q8x4x2_2x1(const int n, float * restrict s0, r1_sum = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_Vqf32Vsf(r1_fa, r1_sum)); } - // Process leftovers, we still load full 4x4x2 block but zero out unused scales/blocks + // Process leftovers if (nloe) { - HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8(y_q + i * y_qblk_size); - HVX_Vector_x8 r0_q = hvx_vec_load_q8x4x8(r0_x_q + i * x_qblk_size); - HVX_Vector_x8 r1_q = hvx_vec_load_q8x4x8(r1_x_q + i * x_qblk_size); + HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8_partial(y_q + i * y_qblk_size, nloe); + HVX_Vector_x8 r0_q = hvx_vec_load_q8x4x8_partial(r0_x_q + i * x_qblk_size, nloe); + HVX_Vector_x8 r1_q = hvx_vec_load_q8x4x8_partial(r1_x_q + i * x_qblk_size, nloe); - HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r0_q, vy_q, nloe)); - HVX_Vector r1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r1_q, vy_q, nloe)); + HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r0_q, vy_q, nloe)); + HVX_Vector r1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r1_q, vy_q, nloe)); HVX_Vector vy_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y_d + i * y_dblk_size)); HVX_Vector r0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size)); @@ -674,7 +773,7 @@ static void vec_dot_q8x4x2_q8x4x2_2x1(const int n, float * restrict s0, HVX_Vector r0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r0_d, vy_d))); HVX_Vector r1_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r1_d, vy_d))); - // Zero out unused scales + // Zero out unused elements HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe / 8); r0_dd = Q6_V_vand_QV(bmask, r0_dd); r1_dd = Q6_V_vand_QV(bmask, r1_dd); @@ -722,10 +821,10 @@ static void vec_dot_q8x4x2_q8x4x2_2x2(const int n, float * restrict s0, float * const uint8_t * restrict y1_d = ((const uint8_t *) vy1) + y_qrow_size; // then scales // Row sums (sf) - 4 accumulators for 2×2 tile - HVX_Vector r0_c0_sum = Q6_V_vsplat_R(0); - HVX_Vector r0_c1_sum = Q6_V_vsplat_R(0); - HVX_Vector r1_c0_sum = Q6_V_vsplat_R(0); - HVX_Vector r1_c1_sum = Q6_V_vsplat_R(0); + HVX_Vector r0_c0_sum = Q6_V_vzero(); + HVX_Vector r0_c1_sum = Q6_V_vzero(); + HVX_Vector r1_c0_sum = Q6_V_vzero(); + HVX_Vector r1_c1_sum = Q6_V_vzero(); const uint32_t nb = n / qk; // num full blocks const uint32_t nloe = n % qk; // num leftover elements @@ -733,12 +832,12 @@ static void vec_dot_q8x4x2_q8x4x2_2x2(const int n, float * restrict s0, float * uint32_t i = 0; for (; i < nb; i++) { // Load src1 columns (reused across both src0 rows) - HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8(y0_q + i * y_qblk_size); - HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8(y1_q + i * y_qblk_size); + HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8_full(y0_q + i * y_qblk_size); + HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8_full(y1_q + i * y_qblk_size); // Load src0 rows (reused across both src1 columns) - HVX_Vector_x8 r0_q = hvx_vec_load_q8x4x8(r0_x_q + i * x_qblk_size); - HVX_Vector_x8 r1_q = hvx_vec_load_q8x4x8(r1_x_q + i * x_qblk_size); + HVX_Vector_x8 r0_q = hvx_vec_load_q8x4x8_full(r0_x_q + i * x_qblk_size); + HVX_Vector_x8 r1_q = hvx_vec_load_q8x4x8_full(r1_x_q + i * x_qblk_size); // Compute 4 dot products: r0×c0, r0×c1, r1×c0, r1×c1 HVX_Vector r0_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy0_q)); @@ -747,8 +846,8 @@ static void vec_dot_q8x4x2_q8x4x2_2x2(const int n, float * restrict s0, float * HVX_Vector r1_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r1_q, vy1_q)); // Load scales - HVX_Vector vy0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y0_d + i * y_dblk_size)); - HVX_Vector vy1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y1_d + i * y_dblk_size)); + HVX_Vector vy0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y0_d + i * y_dblk_size)); + HVX_Vector vy1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y1_d + i * y_dblk_size)); HVX_Vector r0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size)); HVX_Vector r1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r1_x_d + i * x_dblk_size)); @@ -772,18 +871,18 @@ static void vec_dot_q8x4x2_q8x4x2_2x2(const int n, float * restrict s0, float * // Process leftovers if (nloe) { - HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8(y0_q + i * y_qblk_size); - HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8(y1_q + i * y_qblk_size); - HVX_Vector_x8 r0_q = hvx_vec_load_q8x4x8(r0_x_q + i * x_qblk_size); - HVX_Vector_x8 r1_q = hvx_vec_load_q8x4x8(r1_x_q + i * x_qblk_size); + HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8_partial(y0_q + i * y_qblk_size, nloe); + HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8_partial(y1_q + i * y_qblk_size, nloe); + HVX_Vector_x8 r0_q = hvx_vec_load_q8x4x8_partial(r0_x_q + i * x_qblk_size, nloe); + HVX_Vector_x8 r1_q = hvx_vec_load_q8x4x8_partial(r1_x_q + i * x_qblk_size, nloe); - HVX_Vector r0_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r0_q, vy0_q, nloe)); - HVX_Vector r0_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r0_q, vy1_q, nloe)); - HVX_Vector r1_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r1_q, vy0_q, nloe)); - HVX_Vector r1_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r1_q, vy1_q, nloe)); + HVX_Vector r0_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r0_q, vy0_q, nloe)); + HVX_Vector r0_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r0_q, vy1_q, nloe)); + HVX_Vector r1_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r1_q, vy0_q, nloe)); + HVX_Vector r1_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r1_q, vy1_q, nloe)); - HVX_Vector vy0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y0_d + i * y_dblk_size)); - HVX_Vector vy1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y1_d + i * y_dblk_size)); + HVX_Vector vy0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y0_d + i * y_dblk_size)); + HVX_Vector vy1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (y1_d + i * y_dblk_size)); HVX_Vector r0_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r0_x_d + i * x_dblk_size)); HVX_Vector r1_d = Q6_Vh_vshuff_Vh(*(const HVX_UVector *) (r1_x_d + i * x_dblk_size)); @@ -792,7 +891,7 @@ static void vec_dot_q8x4x2_q8x4x2_2x2(const int n, float * restrict s0, float * HVX_Vector r1_c0_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r1_d, vy0_d))); HVX_Vector r1_c1_dd = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(Q6_Wqf32_vmpy_VhfVhf(r1_d, vy1_d))); - // Zero out unused scales + // Zero out unused elements HVX_VectorPred bmask = Q6_Q_vsetq_R(nloe / 8); r0_c0_dd = Q6_V_vand_QV(bmask, r0_c0_dd); r0_c1_dd = Q6_V_vand_QV(bmask, r0_c1_dd); @@ -844,7 +943,7 @@ static void vec_dot_mxfp4x4x2_q8x4x2_1x1(const int n, float * restrict s0, const const uint8_t * restrict y_d = ((const uint8_t *) vy0 + y_qrow_size); // then scales // Row sum (sf) - HVX_Vector r0_sum = Q6_V_vsplat_R(0); + HVX_Vector r0_sum = Q6_V_vzero(); // Multiply and accumulate into int32. // Compute combined scale (fp32). @@ -855,8 +954,8 @@ static void vec_dot_mxfp4x4x2_q8x4x2_1x1(const int n, float * restrict s0, const uint32_t i = 0; for (; i < nb; i++) { - HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8(y_q + i * y_qblk_size); - HVX_Vector_x8 r0_q = hvx_vec_load_mxfp4x4x8(r0_x_q + i * x_qblk_size); + HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8_full( y_q + i * y_qblk_size); + HVX_Vector_x8 r0_q = hvx_vec_load_mxfp4x4x8_full(r0_x_q + i * x_qblk_size); HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy_q)); @@ -887,12 +986,12 @@ static void vec_dot_mxfp4x4x2_q8x4x2_1x1(const int n, float * restrict s0, const // Process leftovers if (nloe) { - HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8(y_q + i * y_qblk_size); - HVX_Vector_x8 r0_q = hvx_vec_load_mxfp4x4x8(r0_x_q + i * x_qblk_size); + HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8_partial( y_q + i * y_qblk_size, nloe); + HVX_Vector_x8 r0_q = hvx_vec_load_mxfp4x4x8_partial(r0_x_q + i * x_qblk_size, nloe); - HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy_q)); + HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r0_q, vy_q, nloe)); - HVX_Vector vy_d = *(const HVX_UVector *) (y_d + i * y_dblk_size); + HVX_Vector vy_d = *(const HVX_UVector *) (y_d + i * y_dblk_size); HVX_Vector r0_d = *(const HVX_UVector *) (r0_x_d + i * x_dblk_size); // Convert vy_d from fp16 to fp32 while applying 0.5 scaling which is used for e8m0 halving @@ -954,8 +1053,8 @@ static void vec_dot_mxfp4x4x2_q8x4x2_2x1(const int n, float * restrict s0, const uint8_t * restrict y_d = ((const uint8_t *) vy0) + y_qrow_size; // then scales // Row sum (sf) - HVX_Vector r0_sum = Q6_V_vsplat_R(0); - HVX_Vector r1_sum = Q6_V_vsplat_R(0); + HVX_Vector r0_sum = Q6_V_vzero(); + HVX_Vector r1_sum = Q6_V_vzero(); // Multiply and accumulate into int32. // Compute combined scale (fp32). @@ -966,9 +1065,9 @@ static void vec_dot_mxfp4x4x2_q8x4x2_2x1(const int n, float * restrict s0, uint32_t i = 0; for (; i < nb; i++) { - HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8(y_q + i * y_qblk_size); - HVX_Vector_x8 r0_q = hvx_vec_load_mxfp4x4x8(r0_x_q + i * x_qblk_size); - HVX_Vector_x8 r1_q = hvx_vec_load_mxfp4x4x8(r1_x_q + i * x_qblk_size); + HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8_full( y_q + i * y_qblk_size); + HVX_Vector_x8 r0_q = hvx_vec_load_mxfp4x4x8_full(r0_x_q + i * x_qblk_size); + HVX_Vector_x8 r1_q = hvx_vec_load_mxfp4x4x8_full(r1_x_q + i * x_qblk_size); HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy_q)); HVX_Vector r1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r1_q, vy_q)); @@ -1007,14 +1106,14 @@ static void vec_dot_mxfp4x4x2_q8x4x2_2x1(const int n, float * restrict s0, // Process leftovers if (nloe) { - HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8(y_q + i * y_qblk_size); - HVX_Vector_x8 r0_q = hvx_vec_load_mxfp4x4x8(r0_x_q + i * x_qblk_size); - HVX_Vector_x8 r1_q = hvx_vec_load_mxfp4x4x8(r1_x_q + i * x_qblk_size); + HVX_Vector_x8 vy_q = hvx_vec_load_q8x4x8_partial( y_q + i * y_qblk_size, nloe); + HVX_Vector_x8 r0_q = hvx_vec_load_mxfp4x4x8_partial(r0_x_q + i * x_qblk_size, nloe); + HVX_Vector_x8 r1_q = hvx_vec_load_mxfp4x4x8_partial(r1_x_q + i * x_qblk_size, nloe); HVX_Vector r0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy_q)); HVX_Vector r1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r1_q, vy_q)); - HVX_Vector vy_d = *(const HVX_UVector *) (y_d + i * y_dblk_size); + HVX_Vector vy_d = *(const HVX_UVector *) (y_d + i * y_dblk_size); HVX_Vector r0_d = *(const HVX_UVector *) (r0_x_d + i * x_dblk_size); HVX_Vector r1_d = *(const HVX_UVector *) (r1_x_d + i * x_dblk_size); @@ -1087,10 +1186,10 @@ static void vec_dot_mxfp4x4x2_q8x4x2_2x2(const int n, float * restrict s0, float const uint8_t * restrict y1_d = ((const uint8_t *) vy1) + y_qrow_size; // then scales // Row sums (sf) - 4 accumulators for 2×2 tile - HVX_Vector r0_c0_sum = Q6_V_vsplat_R(0); - HVX_Vector r0_c1_sum = Q6_V_vsplat_R(0); - HVX_Vector r1_c0_sum = Q6_V_vsplat_R(0); - HVX_Vector r1_c1_sum = Q6_V_vsplat_R(0); + HVX_Vector r0_c0_sum = Q6_V_vzero(); + HVX_Vector r0_c1_sum = Q6_V_vzero(); + HVX_Vector r1_c0_sum = Q6_V_vzero(); + HVX_Vector r1_c1_sum = Q6_V_vzero(); const uint32_t nb = n / qk; // num full blocks const uint32_t nloe = n % qk; // num leftover elements @@ -1098,12 +1197,12 @@ static void vec_dot_mxfp4x4x2_q8x4x2_2x2(const int n, float * restrict s0, float uint32_t i = 0; for (; i < nb; i++) { // Load src1 columns (reused across both src0 rows) - HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8(y0_q + i * y_qblk_size); - HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8(y1_q + i * y_qblk_size); + HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8_full(y0_q + i * y_qblk_size); + HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8_full(y1_q + i * y_qblk_size); // Load src0 rows (reused across both src1 columns) - HVX_Vector_x8 r0_q = hvx_vec_load_mxfp4x4x8(r0_x_q + i * x_qblk_size); - HVX_Vector_x8 r1_q = hvx_vec_load_mxfp4x4x8(r1_x_q + i * x_qblk_size); + HVX_Vector_x8 r0_q = hvx_vec_load_mxfp4x4x8_full(r0_x_q + i * x_qblk_size); + HVX_Vector_x8 r1_q = hvx_vec_load_mxfp4x4x8_full(r1_x_q + i * x_qblk_size); // Compute 4 dot products: r0×c0, r0×c1, r1×c0, r1×c1 HVX_Vector r0_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_full(r0_q, vy0_q)); @@ -1157,15 +1256,15 @@ static void vec_dot_mxfp4x4x2_q8x4x2_2x2(const int n, float * restrict s0, float // Process leftovers if (nloe) { - HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8(y0_q + i * y_qblk_size); - HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8(y1_q + i * y_qblk_size); - HVX_Vector_x8 r0_q = hvx_vec_load_mxfp4x4x8(r0_x_q + i * x_qblk_size); - HVX_Vector_x8 r1_q = hvx_vec_load_mxfp4x4x8(r1_x_q + i * x_qblk_size); + HVX_Vector_x8 vy0_q = hvx_vec_load_q8x4x8_partial( y0_q + i * y_qblk_size, nloe); + HVX_Vector_x8 vy1_q = hvx_vec_load_q8x4x8_partial( y1_q + i * y_qblk_size, nloe); + HVX_Vector_x8 r0_q = hvx_vec_load_mxfp4x4x8_partial(r0_x_q + i * x_qblk_size, nloe); + HVX_Vector_x8 r1_q = hvx_vec_load_mxfp4x4x8_partial(r1_x_q + i * x_qblk_size, nloe); - HVX_Vector r0_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r0_q, vy0_q, nloe)); - HVX_Vector r0_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r0_q, vy1_q, nloe)); - HVX_Vector r1_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r1_q, vy0_q, nloe)); - HVX_Vector r1_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_nloe(r1_q, vy1_q, nloe)); + HVX_Vector r0_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r0_q, vy0_q, nloe)); + HVX_Vector r0_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r0_q, vy1_q, nloe)); + HVX_Vector r1_c0_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r1_q, vy0_q, nloe)); + HVX_Vector r1_c1_ia = Q6_Vsf_equals_Vw(hvx_vec_rmpy_x8_partial(r1_q, vy1_q, nloe)); HVX_Vector vy0_d = *(const HVX_UVector *) (y0_d + i * y_dblk_size); HVX_Vector vy1_d = *(const HVX_UVector *) (y1_d + i * y_dblk_size); @@ -1234,7 +1333,7 @@ static void vec_dot_f16_f16_aa_1x1(const int n, float * restrict s, const void * uint32_t nvec = n / VLEN_FP16; // num full fp16 hvx vectors uint32_t nloe = n % VLEN_FP16; // leftover elements - HVX_VectorPair rsum_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0)); + HVX_VectorPair rsum_p = Q6_W_vzero(); uint32_t i = 0; @@ -1264,8 +1363,8 @@ static void vec_dot_f16_f16_aa_2x1(const int n, float * restrict s0, uint32_t nvec = n / VLEN_FP16; uint32_t nloe = n % VLEN_FP16; - HVX_VectorPair rsum0_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0)); - HVX_VectorPair rsum1_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0)); + HVX_VectorPair rsum0_p = Q6_W_vzero(); + HVX_VectorPair rsum1_p = Q6_W_vzero(); uint32_t i = 0; @@ -1303,10 +1402,10 @@ static void vec_dot_f16_f16_aa_2x2(const int n, float * restrict s0, float * res uint32_t nloe = n % VLEN_FP16; // Row sums (sf) - 4 accumulators for 2×2 tile - HVX_VectorPair r0_c0_sum_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0)); - HVX_VectorPair r0_c1_sum_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0)); - HVX_VectorPair r1_c0_sum_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0)); - HVX_VectorPair r1_c1_sum_p = Q6_W_vcombine_VV(Q6_V_vsplat_R(0), Q6_V_vsplat_R(0)); + HVX_VectorPair r0_c0_sum_p = Q6_W_vzero(); + HVX_VectorPair r0_c1_sum_p = Q6_W_vzero(); + HVX_VectorPair r1_c0_sum_p = Q6_W_vzero(); + HVX_VectorPair r1_c1_sum_p = Q6_W_vzero(); uint32_t i = 0; @@ -1358,7 +1457,7 @@ static void vec_dot_f16_f16_uu_1x1(const int n, float * restrict s, const void * uint32_t nvec = n / VLEN_FP16; // num full fp16 hvx vectors uint32_t nloe = n % VLEN_FP16; // leftover elements - HVX_Vector rsum = Q6_V_vsplat_R(0); + HVX_Vector rsum = Q6_V_vzero(); uint32_t i = 0; @@ -1388,9 +1487,9 @@ static void vec_dot_f16_f32_uu_1x1(const int n, float * restrict s, const void * uint32_t nvec = n / VLEN_FP16; // num full fp16 hvx vectors uint32_t nloe = n % VLEN_FP16; // leftover elements - const HVX_Vector zero = Q6_V_vsplat_R(0); + const HVX_Vector zero = Q6_V_vzero(); - HVX_Vector rsum = Q6_V_vsplat_R(0); + HVX_Vector rsum = Q6_V_vzero(); uint32_t i = 0; @@ -1973,7 +2072,7 @@ static inline void quantize_block_f32_q8x1(float * restrict x, uint8_t * restric assert((unsigned long) y_q % 128 == 0); HVX_Vector * vx = (HVX_Vector *) x; - HVX_Vector zero = Q6_V_vsplat_R(0); + HVX_Vector zero = Q6_V_vzero(); // Use reduce max fp32 to find max(abs(e)) first HVX_Vector vmax0_sf = hvx_vec_reduce_max_f32(hvx_vec_abs_f32(vx[0])); @@ -2034,7 +2133,7 @@ static inline void quantize_block_f32_q8x2(float * restrict x, uint8_t * restric HVX_Vector * vx = (HVX_Vector *) x; // Load and convert into QF32 - HVX_Vector zero = Q6_V_vsplat_R(0); + HVX_Vector zero = Q6_V_vzero(); HVX_Vector vx0_qf = Q6_Vqf32_vsub_VsfVsf(vx[0], zero); // 32 elements HVX_Vector vx1_qf = Q6_Vqf32_vsub_VsfVsf(vx[1], zero); // 32 elements HVX_Vector vx2_qf = Q6_Vqf32_vsub_VsfVsf(vx[2], zero); // 32 elements @@ -2077,7 +2176,7 @@ static inline void quantize_block_f32_q8x4(float * restrict x, uint8_t * restric HVX_Vector * vx = (HVX_Vector *) x; // Load and convert into QF32 - HVX_Vector zero = Q6_V_vsplat_R(0); + HVX_Vector zero = Q6_V_vzero(); HVX_Vector vx0_qf = Q6_Vqf32_vsub_VsfVsf(vx[0], zero); // 32 elements HVX_Vector vx1_qf = Q6_Vqf32_vsub_VsfVsf(vx[1], zero); // 32 elements HVX_Vector vx2_qf = Q6_Vqf32_vsub_VsfVsf(vx[2], zero); // 32 elements diff --git a/ggml/src/ggml-hexagon/htp/repeat-ops.c b/ggml/src/ggml-hexagon/htp/repeat-ops.c new file mode 100644 index 0000000000..5db06c920e --- /dev/null +++ b/ggml/src/ggml-hexagon/htp/repeat-ops.c @@ -0,0 +1,148 @@ +#pragma clang diagnostic ignored "-Wunused-variable" +#pragma clang diagnostic ignored "-Wunused-function" +#pragma clang diagnostic ignored "-Wunused-but-set-variable" + +#include +#include + +#include + +#include "hvx-utils.h" + +#define GGML_COMMON_DECL_C +#include "ggml-common.h" +#include "htp-ctx.h" +#include "htp-msg.h" +#include "htp-ops.h" + +struct htp_repeat_context { + struct htp_ops_context * octx; + + uint32_t nr0; + uint32_t nr1; + uint32_t nr2; + uint32_t nr3; + + uint32_t nrows_per_thread; + uint32_t total_dst_rows; // ne1 * ne2 * ne3 + + size_t type_size; +}; + +static void repeat_job_per_thread(unsigned int nth, unsigned int ith, void * data) { + const struct htp_repeat_context * rctx = (const struct htp_repeat_context *) data; + struct htp_ops_context * octx = rctx->octx; + const struct htp_tensor * src = &octx->src0; + const struct htp_tensor * dst = &octx->dst; + + const uint32_t ne00 = src->ne[0]; + const uint32_t ne01 = src->ne[1]; + const uint32_t ne02 = src->ne[2]; + const uint32_t ne03 = src->ne[3]; + + const uint32_t nb00 = src->nb[0]; + const uint32_t nb01 = src->nb[1]; + const uint32_t nb02 = src->nb[2]; + const uint32_t nb03 = src->nb[3]; + + const uint32_t ne0 = dst->ne[0]; + const uint32_t ne1 = dst->ne[1]; + const uint32_t ne2 = dst->ne[2]; + const uint32_t ne3 = dst->ne[3]; + + const uint32_t nb0 = dst->nb[0]; + const uint32_t nb1 = dst->nb[1]; + const uint32_t nb2 = dst->nb[2]; + const uint32_t nb3 = dst->nb[3]; + + const uint32_t nr0 = rctx->nr0; + const uint32_t nr1 = rctx->nr1; + const uint32_t nr2 = rctx->nr2; + const uint32_t nr3 = rctx->nr3; + + const size_t row_bytes = ne00 * rctx->type_size; + + const uint32_t row_start = rctx->nrows_per_thread * ith; + const uint32_t row_end = MIN(row_start + rctx->nrows_per_thread, rctx->total_dst_rows); + + uint64_t t1, t2; + t1 = HAP_perf_get_qtimer_count(); + + for (uint32_t dst_row = row_start; dst_row < row_end; dst_row++) { + // Decompose flat dst row index into (i1, i2, i3) + const uint32_t i1 = dst_row % ne1; + const uint32_t i2 = (dst_row / ne1) % ne2; + const uint32_t i3 = dst_row / (ne1 * ne2); + + // Map to source indices (tiling) + const uint32_t k1 = i1 % ne01; + const uint32_t k2 = i2 % ne02; + const uint32_t k3 = i3 % ne03; + + const uint8_t * src_row = (const uint8_t *) src->data + k1 * nb01 + k2 * nb02 + k3 * nb03; + uint8_t * dst_base = (uint8_t *) dst->data + i1 * nb1 + i2 * nb2 + i3 * nb3; + + // Tile along dimension 0 + for (uint32_t i0 = 0; i0 < nr0; i0++) { + uint8_t * dst_ptr = dst_base + i0 * ne00 * nb0; + memcpy(dst_ptr, src_row, row_bytes); + } + } + + t2 = HAP_perf_get_qtimer_count(); + + FARF(HIGH, "repeat %d/%d: (%ux%ux%ux%u) -> (%ux%ux%ux%u) rows %u:%u usec %u\n", + ith, nth, src->ne[0], src->ne[1], src->ne[2], src->ne[3], + dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], + row_start, row_end, (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1)); +} + +int op_repeat(struct htp_ops_context * octx) { + const struct htp_tensor * src0 = &octx->src0; + struct htp_tensor * dst = &octx->dst; + + // Validate that dst dims are multiples of src dims + if (dst->ne[0] % src0->ne[0] != 0 || + dst->ne[1] % src0->ne[1] != 0 || + dst->ne[2] % src0->ne[2] != 0 || + dst->ne[3] % src0->ne[3] != 0) { + FARF(ERROR, "repeat: dst dims must be multiples of src dims\n"); + return HTP_STATUS_INVAL_PARAMS; + } + + size_t type_size; + switch (src0->type) { + case HTP_TYPE_F32: type_size = 4; break; + case HTP_TYPE_F16: type_size = 2; break; + default: + FARF(ERROR, "repeat: unsupported type %u\n", src0->type); + return HTP_STATUS_NO_SUPPORT; + } + + const uint32_t total_dst_rows = dst->ne[1] * dst->ne[2] * dst->ne[3]; + const uint32_t n_threads = MIN(octx->n_threads, total_dst_rows); + + if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) { + return HTP_STATUS_OK; + } + + struct htp_repeat_context rctx = { + .octx = octx, + .nr0 = dst->ne[0] / src0->ne[0], + .nr1 = dst->ne[1] / src0->ne[1], + .nr2 = dst->ne[2] / src0->ne[2], + .nr3 = dst->ne[3] / src0->ne[3], + .nrows_per_thread = (total_dst_rows + n_threads - 1) / n_threads, + .total_dst_rows = total_dst_rows, + .type_size = type_size, + }; + + FARF(HIGH, "repeat: (%ux%ux%ux%u) -> (%ux%ux%ux%u) nr=(%u,%u,%u,%u)\n", + src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], + dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], + rctx.nr0, rctx.nr1, rctx.nr2, rctx.nr3); + + worker_pool_run_func(octx->ctx->worker_pool, repeat_job_per_thread, &rctx, n_threads); + + return HTP_STATUS_OK; +} diff --git a/ggml/src/ggml-hexagon/htp/softmax-ops.c b/ggml/src/ggml-hexagon/htp/softmax-ops.c index 8dae7f1ed5..d6356b9506 100644 --- a/ggml/src/ggml-hexagon/htp/softmax-ops.c +++ b/ggml/src/ggml-hexagon/htp/softmax-ops.c @@ -195,7 +195,7 @@ static float hvx_softmax_f32(const uint8_t * restrict src, const float max) { hvx_sub_scalar_f32(spad, src, max, num_elems); - hvx_exp_f32(spad, dst, num_elems, false); + hvx_exp_f32(dst, spad, num_elems, false); float sum = hvx_reduce_sum_f32(dst, num_elems); diff --git a/ggml/src/ggml-hexagon/htp/unary-ops.c b/ggml/src/ggml-hexagon/htp/unary-ops.c index 5bbd5040d3..3d0928d4dc 100644 --- a/ggml/src/ggml-hexagon/htp/unary-ops.c +++ b/ggml/src/ggml-hexagon/htp/unary-ops.c @@ -9,6 +9,8 @@ #include #include "hex-dma.h" +#include "hvx-exp.h" +#include "hvx-sigmoid.h" #include "hvx-utils.h" #define GGML_COMMON_DECL_C @@ -166,6 +168,75 @@ static void sqrt_f32(const float * restrict src, } } +static void neg_f32(const float * restrict src, + float * restrict dst, + uint8_t * restrict spad, + const uint32_t num_rows, + const uint32_t row_elems, + const size_t row_size, + int32_t * op_params) { + + for (uint32_t ir = 0; ir < num_rows; ir++) { + const uint8_t * restrict src_local = (const uint8_t *)src + (ir * row_size); + uint8_t * restrict dst_local = (uint8_t *)dst + (ir * row_size); + + hvx_scale_f32_aa(dst_local, src_local, row_elems, -1.0f); + } +} + +static void exp_f32(const float * restrict src, + float * restrict dst, + uint8_t * restrict spad, + const uint32_t num_rows, + const uint32_t row_elems, + const size_t row_size, + int32_t * op_params) { + + for (uint32_t ir = 0; ir < num_rows; ir++) { + const uint8_t * restrict src_local = (const uint8_t *)src + (ir * row_size); + uint8_t * restrict dst_local = (uint8_t *)dst + (ir * row_size); + + hvx_exp_f32(dst_local, src_local, row_elems, false); + } +} + +static void sigmoid_f32(const float * restrict src, + float * restrict dst, + uint8_t * restrict spad, + const uint32_t num_rows, + const uint32_t row_elems, + const size_t row_size, + int32_t * op_params) { + + for (uint32_t ir = 0; ir < num_rows; ir++) { + const uint8_t * restrict src_local = (const uint8_t *)src + (ir * row_size); + uint8_t * restrict dst_local = (uint8_t *)dst + (ir * row_size); + + hvx_sigmoid_f32_aa(dst_local, src_local, row_elems); + } +} + +static void softplus_f32(const float * restrict src, + float * restrict dst, + uint8_t * restrict spad, + const uint32_t num_rows, + const uint32_t row_elems, + const size_t row_size, + int32_t * op_params) { + // softplus(x) = log(1 + exp(x)) + // Match CPU reference: ggml_compute_softplus_f32() in ggml-impl.h + for (uint32_t ir = 0; ir < num_rows; ir++) { + const float * restrict src_f = (const float *)((const uint8_t *)src + (ir * row_size)); + float * restrict dst_f = (float *)((uint8_t *)dst + (ir * row_size)); + + for (uint32_t i = 0; i < row_elems; i++) { + float x = src_f[i]; + // For x > 20: softplus(x) ≈ x (avoids exp overflow) + dst_f[i] = (x > 20.0f) ? x : logf(1.0f + expf(x)); + } + } +} + static void unary_job_f32_per_thread(unsigned int nth, unsigned int ith, void * data) { const struct htp_unary_context * uctx = (const struct htp_unary_context *) data; struct htp_ops_context * octx = uctx->octx; @@ -247,6 +318,18 @@ static void unary_job_f32_per_thread(unsigned int nth, unsigned int ith, void * case HTP_OP_SQRT: sqrt_f32(src0_spad, dst_spad, NULL, block_size, ne0, src0_row_size_aligned, op_params); break; + case HTP_OP_UNARY_NEG: + neg_f32(src0_spad, dst_spad, NULL, block_size, ne0, src0_row_size_aligned, op_params); + break; + case HTP_OP_UNARY_EXP: + exp_f32(src0_spad, dst_spad, NULL, block_size, ne0, src0_row_size_aligned, op_params); + break; + case HTP_OP_UNARY_SIGMOID: + sigmoid_f32(src0_spad, dst_spad, NULL, block_size, ne0, src0_row_size_aligned, op_params); + break; + case HTP_OP_UNARY_SOFTPLUS: + softplus_f32(src0_spad, dst_spad, NULL, block_size, ne0, src0_row_size_aligned, op_params); + break; default: break; } @@ -295,6 +378,18 @@ static int execute_op_unary_f32(struct htp_ops_context * octx) { case HTP_OP_SQRT: op_type = "sqrt-f32"; break; + case HTP_OP_UNARY_NEG: + op_type = "neg-f32"; + break; + case HTP_OP_UNARY_EXP: + op_type = "exp-f32"; + break; + case HTP_OP_UNARY_SIGMOID: + op_type = "sigmoid-f32"; + break; + case HTP_OP_UNARY_SOFTPLUS: + op_type = "softplus-f32"; + break; default: FARF(ERROR, "Unsupported unary Op %u\n", octx->op); diff --git a/ggml/src/ggml-hip/CMakeLists.txt b/ggml/src/ggml-hip/CMakeLists.txt index 80037d2436..f96c6e09a9 100644 --- a/ggml/src/ggml-hip/CMakeLists.txt +++ b/ggml/src/ggml-hip/CMakeLists.txt @@ -11,6 +11,10 @@ endif() list(APPEND CMAKE_PREFIX_PATH ${ROCM_PATH}) list(APPEND CMAKE_PREFIX_PATH "${ROCM_PATH}/lib64/cmake") +if (NOT DEFINED CMAKE_HIP_FLAGS_DEBUG) + set(CMAKE_HIP_FLAGS_DEBUG "-g -O2") +endif() + # CMake on Windows doesn't support the HIP language yet if (WIN32) set(CXX_IS_HIPCC TRUE) @@ -49,9 +53,6 @@ endif() message(STATUS "HIP and hipBLAS found") -# Workaround old compilers -set(CMAKE_HIP_FLAGS "${CMAKE_HIP_FLAGS} --gpu-max-threads-per-block=1024") - file(GLOB GGML_HEADERS_ROCM "../ggml-cuda/*.cuh") list(APPEND GGML_HEADERS_ROCM "../../include/ggml-cuda.h") @@ -128,6 +129,11 @@ endif() if (CXX_IS_HIPCC) set_source_files_properties(${GGML_SOURCES_ROCM} PROPERTIES LANGUAGE CXX) + if (WIN32 AND CMAKE_BUILD_TYPE STREQUAL "Debug") + # CMake on Windows doesn't support the HIP language yet. + # Therefore we workaround debug build's failure on HIP backend this way. + set_source_files_properties(${GGML_SOURCES_ROCM} PROPERTIES COMPILE_FLAGS "-O2 -g") + endif() target_link_libraries(ggml-hip PRIVATE hip::device) else() set_source_files_properties(${GGML_SOURCES_ROCM} PROPERTIES LANGUAGE HIP) diff --git a/ggml/src/ggml-impl.h b/ggml/src/ggml-impl.h index e3714b38a6..9256865595 100644 --- a/ggml/src/ggml-impl.h +++ b/ggml/src/ggml-impl.h @@ -491,6 +491,61 @@ static inline float ggml_e8m0_to_fp32_half(uint8_t x) { #define GGML_E8M0_TO_FP32(x) ggml_e8m0_to_fp32(x) #define GGML_E8M0_TO_FP32_HALF(x) ggml_e8m0_to_fp32_half(x) +// UE4M3: unsigned, 4 exp bits (bias=7), 3 mantissa bits +// Returns value * 0.5 to match kvalues_mxfp4 convention (kvalues = 2 * E2M1_float) +static inline float ggml_ue4m3_to_fp32(uint8_t x) { + if (x == 0 || x == 0x7F) { + return 0.0f; + } + int exp = (x >> 3) & 0xF; + int man = x & 0x7; + float raw; + if (exp == 0) { + raw = ldexpf((float) man, -9); + } else { + raw = ldexpf(1.0f + (float) man / 8.0f, exp - 7); + } + return raw * 0.5f; +} + +static inline uint8_t ggml_fp32_to_ue4m3(float x) { + if (!(x > 0.0f)) { + return 0; + } + if (x > 448.0f) { + x = 448.0f; + } + uint32_t bits; + memcpy(&bits, &x, 4); + int fp32_exp = ((bits >> 23) & 0xFF) - 127; + int fp32_man = (bits >> 20) & 0x7; + int ue4m3_exp = fp32_exp + 7; + if (ue4m3_exp <= 0) { + // subnormal: value = man * 2^-9, man = round(x * 2^9) + int man = (int) (x * 512.0f + 0.5f); + if (man > 7) { + man = 7; + } + if (man < 1) { + return 0; + } + return (uint8_t) man; + } + if (ue4m3_exp >= 15) { + return 0x7E; + } + int round_bit = (bits >> 19) & 1; + int ue4m3_man = fp32_man + round_bit; + if (ue4m3_man > 7) { + ue4m3_man = 0; + ue4m3_exp++; + if (ue4m3_exp >= 15) { + return 0x7E; + } + } + return (uint8_t) ((ue4m3_exp << 3) | ue4m3_man); +} + /** * Converts brain16 to float32. * diff --git a/ggml/src/ggml-metal/ggml-metal-context.m b/ggml/src/ggml-metal/ggml-metal-context.m index 5d3a8ce412..32d97cd5d0 100644 --- a/ggml/src/ggml-metal/ggml-metal-context.m +++ b/ggml/src/ggml-metal/ggml-metal-context.m @@ -47,7 +47,7 @@ struct ggml_metal { uint64_t fuse_cnt[GGML_OP_COUNT]; // capture state - bool capture_next_compute; + int capture_compute; bool capture_started; id capture_scope; @@ -75,6 +75,10 @@ struct ggml_metal { // abort ggml_metal_graph_compute if callback returns true ggml_abort_callback abort_callback; void * abort_callback_data; + + // error state - set when a command buffer fails during synchronize + // once set, graph_compute will return GGML_STATUS_FAILED until the backend is recreated + bool has_error; }; ggml_metal_t ggml_metal_init(ggml_metal_device_t dev) { @@ -154,10 +158,19 @@ ggml_metal_t ggml_metal_init(ggml_metal_device_t dev) { GGML_LOG_INFO("%s: use concurrency = %s\n", __func__, res->use_concurrency ? "true" : "false"); GGML_LOG_INFO("%s: use graph optimize = %s\n", __func__, res->use_graph_optimize ? "true" : "false"); - res->capture_next_compute = false; + res->capture_compute = 0; res->capture_started = false; res->capture_scope = nil; + { + const char * val = getenv("GGML_METAL_CAPTURE_COMPUTE"); + if (val) { + res->capture_compute = atoi(val); + } + } + + res->has_error = false; + res->gf = nil; res->encode_async = nil; for (int i = 0; i < GGML_METAL_MAX_COMMAND_BUFFERS; ++i) { @@ -246,7 +259,8 @@ void ggml_metal_synchronize(ggml_metal_t ctx) { if (status == MTLCommandBufferStatusError) { GGML_LOG_ERROR("error: %s\n", [[cmd_buf error].localizedDescription UTF8String]); } - GGML_ABORT("fatal error"); + ctx->has_error = true; + return; } } } @@ -262,7 +276,15 @@ void ggml_metal_synchronize(ggml_metal_t ctx) { if (status == MTLCommandBufferStatusError) { GGML_LOG_ERROR("error: %s\n", [[cmd_buf error].localizedDescription UTF8String]); } - GGML_ABORT("fatal error"); + + // release this and all remaining command buffers before returning + for (size_t j = i; j < ctx->cmd_bufs_ext.count; ++j) { + [ctx->cmd_bufs_ext[j] release]; + } + [ctx->cmd_bufs_ext removeAllObjects]; + + ctx->has_error = true; + return; } [cmd_buf release]; @@ -414,6 +436,11 @@ bool ggml_metal_cpy_tensor_async(ggml_metal_t ctx_src, ggml_metal_t ctx_dst, con } enum ggml_status ggml_metal_graph_compute(ggml_metal_t ctx, struct ggml_cgraph * gf) { + if (ctx->has_error) { + GGML_LOG_ERROR("%s: backend is in error state from a previous command buffer failure - recreate the backend to recover\n", __func__); + return GGML_STATUS_FAILED; + } + // number of nodes encoded by the main thread (empirically determined) const int n_main = MAX(64, 0.1*gf->n_nodes); @@ -438,9 +465,13 @@ enum ggml_status ggml_metal_graph_compute(ggml_metal_t ctx, struct ggml_cgraph * ctx->n_nodes_per_cb = (ctx->n_nodes_1 + ctx->n_cb - 1) / ctx->n_cb; - const bool use_capture = ctx->capture_next_compute; + if (ctx->capture_compute >= 0) { + ctx->capture_compute--; + } + + const bool use_capture = ctx->capture_compute == 0; if (use_capture) { - ctx->capture_next_compute = false; + ctx->capture_compute = -1; // make sure all previous computations have finished before starting the capture if (ctx->cmd_buf_last) { @@ -449,6 +480,10 @@ enum ggml_status ggml_metal_graph_compute(ggml_metal_t ctx, struct ggml_cgraph * } if (!ctx->capture_started) { + NSString * path = [NSString stringWithFormat:@"/tmp/perf-metal-%d.gputrace", getpid()]; + + GGML_LOG_WARN("%s: capturing graph in %s\n", __func__, [path UTF8String]); + // create capture scope id device = ggml_metal_device_get_obj(ctx->dev); ctx->capture_scope = [[MTLCaptureManager sharedCaptureManager] newCaptureScopeWithDevice:device]; @@ -456,7 +491,7 @@ enum ggml_status ggml_metal_graph_compute(ggml_metal_t ctx, struct ggml_cgraph * MTLCaptureDescriptor * descriptor = [MTLCaptureDescriptor new]; descriptor.captureObject = ctx->capture_scope; descriptor.destination = MTLCaptureDestinationGPUTraceDocument; - descriptor.outputURL = [NSURL fileURLWithPath:[NSString stringWithFormat:@"/tmp/perf-metal.gputrace"]]; + descriptor.outputURL = [NSURL fileURLWithPath:path]; NSError * error = nil; if (![[MTLCaptureManager sharedCaptureManager] startCaptureWithDescriptor:descriptor error:&error]) { @@ -519,7 +554,7 @@ enum ggml_status ggml_metal_graph_compute(ggml_metal_t ctx, struct ggml_cgraph * // enter here only when capturing in order to wait for all computation to finish // otherwise, we leave the graph to compute asynchronously - if (!use_capture && ctx->capture_started) { + if (use_capture && ctx->capture_started) { // wait for completion and check status of each command buffer // needed to detect if the device ran out-of-memory for example (#1881) { @@ -571,6 +606,8 @@ enum ggml_status ggml_metal_graph_compute(ggml_metal_t ctx, struct ggml_cgraph * [ctx->capture_scope endScope]; [[MTLCaptureManager sharedCaptureManager] stopCapture]; + + ctx->capture_started = false; } } @@ -663,7 +700,7 @@ void ggml_metal_set_n_cb(ggml_metal_t ctx, int n_cb) { idx_end, ctx->use_fusion, ctx->use_concurrency, - ctx->capture_next_compute, + ctx->capture_compute, ctx->debug_graph, ctx->debug_fusion); @@ -698,5 +735,5 @@ bool ggml_metal_supports_family(ggml_metal_t ctx, int family) { } void ggml_metal_capture_next_compute(ggml_metal_t ctx) { - ctx->capture_next_compute = true; + ctx->capture_compute = 1; } diff --git a/ggml/src/ggml-metal/ggml-metal-device.cpp b/ggml/src/ggml-metal/ggml-metal-device.cpp index 06f3d80459..72ad876d5e 100644 --- a/ggml/src/ggml-metal/ggml-metal-device.cpp +++ b/ggml/src/ggml-metal/ggml-metal-device.cpp @@ -577,6 +577,41 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_rwkv(ggml_metal_ return res; } +ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_gated_delta_net(ggml_metal_library_t lib, const ggml_tensor * op) { + char base[256]; + char name[256]; + + // v is src[2], dimensions: S_v = ne[0], H = ne[1] + const int ne20 = op->src[2]->ne[0]; // S_v + const int ne21 = op->src[2]->ne[1]; // H + const int ne30 = op->src[3]->ne[0]; // G + + const int nsg = op->src[2]->ne[0]/32; + + GGML_ASSERT(op->src[5]->type == GGML_TYPE_F32); + GGML_ASSERT(op->ne[0] == ne20 * ne21); + GGML_ASSERT(ne20 % 32 == 0); + + snprintf(base, 256, "kernel_gated_delta_net_%s_%d", ggml_type_name(op->src[0]->type), nsg); + snprintf(name, 256, "%s_ne20=%d_ne30=%d", base, ne20, ne30); + + ggml_metal_pipeline_with_params res = ggml_metal_library_get_pipeline(lib, name); + if (!res.pipeline) { + ggml_metal_cv_t cv = ggml_metal_cv_init(); + + ggml_metal_cv_set_int16(cv, ne20, FC_GATED_DELTA_NET + 0); + ggml_metal_cv_set_int16(cv, ne30, FC_GATED_DELTA_NET + 1); + + res = ggml_metal_library_compile_pipeline(lib, base, name, cv); + + ggml_metal_cv_free(cv); + } + + res.nsg = nsg; + + return res; +} + ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_solve_tri(ggml_metal_library_t lib, const ggml_tensor * op) { char base[256]; char name[256]; @@ -1435,10 +1470,11 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_bin(ggml_metal_l const bool is_c4 = (op->src[0]->ne[0] % 4 == 0) && (op->src[1]->ne[0] % 4 == 0); + const bool is_cb = op->src[0]->ne[0] != op->src[1]->ne[0]; const bool is_rb = ggml_is_contiguous(op->src[0]) && ggml_is_contiguous(op->src[1]) && (ggml_nrows(op->src[1]) == 1) && ggml_nelements(op) < 65536; snprintf(base, 256, "kernel_bin_fuse_%s_%s_%s%s", t0_str, t1_str, t_str, is_c4 ? "_4" : ""); - snprintf(name, 256, "%s_op=%d_nf=%d_rb=%d", base, op_num, n_fuse, is_rb); + snprintf(name, 256, "%s_op=%d_nf=%d_rb=%d_cb=%d", base, op_num, n_fuse, is_rb, is_cb); ggml_metal_pipeline_with_params res = ggml_metal_library_get_pipeline(lib, name); if (!res.pipeline) { @@ -1447,6 +1483,7 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_bin(ggml_metal_l ggml_metal_cv_set_int16(cv, op_num, FC_BIN + 0); ggml_metal_cv_set_int16(cv, n_fuse, FC_BIN + 1); ggml_metal_cv_set_bool (cv, is_rb, FC_BIN + 2); + ggml_metal_cv_set_bool (cv, is_cb, FC_BIN + 3); res = ggml_metal_library_compile_pipeline(lib, base, name, cv); @@ -1717,12 +1754,29 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_upscale(ggml_met char base[256]; char name[256]; - snprintf(base, 256, "kernel_upscale_%s", ggml_type_name(op->src[0]->type)); - snprintf(name, 256, "%s", base); + const int32_t mode_flags = ggml_get_op_params_i32(op, 0); + const ggml_scale_mode mode = (ggml_scale_mode) (mode_flags & 0xFF); + + const bool antialias = (mode_flags & GGML_SCALE_FLAG_ANTIALIAS); + + if (mode == GGML_SCALE_MODE_BILINEAR) { + snprintf(base, 256, "kernel_upscale_bilinear_%s", ggml_type_name(op->src[0]->type)); + } else if (mode == GGML_SCALE_MODE_BICUBIC) { + snprintf(base, 256, "kernel_upscale_bicubic_%s", ggml_type_name(op->src[0]->type)); + } else { + snprintf(base, 256, "kernel_upscale_nearest_%s", ggml_type_name(op->src[0]->type)); + } + snprintf(name, 256, "%s_aa=%d", base, antialias); ggml_metal_pipeline_with_params res = ggml_metal_library_get_pipeline(lib, name); if (!res.pipeline) { - res = ggml_metal_library_compile_pipeline(lib, base, name, nullptr); + ggml_metal_cv_t cv = ggml_metal_cv_init(); + + ggml_metal_cv_set_bool(cv, antialias, FC_UPSCALE + 0); + + res = ggml_metal_library_compile_pipeline(lib, base, name, cv); + + ggml_metal_cv_free(cv); } return res; diff --git a/ggml/src/ggml-metal/ggml-metal-device.h b/ggml/src/ggml-metal/ggml-metal-device.h index 93d7f6a216..fd2b3ddeb5 100644 --- a/ggml/src/ggml-metal/ggml-metal-device.h +++ b/ggml/src/ggml-metal/ggml-metal-device.h @@ -125,6 +125,7 @@ struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_ssm_conv struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_ssm_conv_batched (ggml_metal_library_t lib, const struct ggml_tensor * op, int ssm_conv_bs); struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_ssm_scan (ggml_metal_library_t lib, const struct ggml_tensor * op); struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_rwkv (ggml_metal_library_t lib, const struct ggml_tensor * op); +struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_gated_delta_net (ggml_metal_library_t lib, const struct ggml_tensor * op); struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_solve_tri (ggml_metal_library_t lib, const struct ggml_tensor * op); struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mv_ext (ggml_metal_library_t lib, enum ggml_type tsrc0, enum ggml_type tsrc1, int nsg, int nxpsg, int r1ptg); struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mm (ggml_metal_library_t lib, const struct ggml_tensor * op); diff --git a/ggml/src/ggml-metal/ggml-metal-device.m b/ggml/src/ggml-metal/ggml-metal-device.m index 4cce414abf..82101f4714 100644 --- a/ggml/src/ggml-metal/ggml-metal-device.m +++ b/ggml/src/ggml-metal/ggml-metal-device.m @@ -1108,7 +1108,7 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te op->type == GGML_TYPE_F32 && (op->src[0]->type == GGML_TYPE_F16 || op->src[0]->type == GGML_TYPE_F32); case GGML_OP_UPSCALE: - return op->src[0]->type == GGML_TYPE_F32 && op->op_params[0] == GGML_SCALE_MODE_NEAREST && !(op->op_params[0] & GGML_SCALE_FLAG_ANTIALIAS); + return op->src[0]->type == GGML_TYPE_F32; case GGML_OP_POOL_1D: return ggml_is_contiguous(op->src[0]) && op->src[0]->type == GGML_TYPE_F32; case GGML_OP_POOL_2D: @@ -1142,6 +1142,7 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te op->src[0]->ne[0] != 128 && op->src[0]->ne[0] != 192 && op->src[0]->ne[0] != 256 && + op->src[0]->ne[0] != 320 && op->src[0]->ne[0] != 576) { return false; } @@ -1155,10 +1156,12 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te case GGML_OP_RWKV_WKV6: case GGML_OP_RWKV_WKV7: return true; + case GGML_OP_GATED_DELTA_NET: + return has_simdgroup_reduction && op->src[2]->ne[0] % 32 == 0; case GGML_OP_SOLVE_TRI: case GGML_OP_MUL_MAT: case GGML_OP_MUL_MAT_ID: - return has_simdgroup_reduction; + return has_simdgroup_reduction && op->src[0]->type != GGML_TYPE_NVFP4; case GGML_OP_SET: case GGML_OP_CPY: case GGML_OP_DUP: @@ -1216,7 +1219,7 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te }; } case GGML_OP_GET_ROWS: - return true; + return op->src[0]->type != GGML_TYPE_NVFP4; case GGML_OP_SET_ROWS: { if (op->src[0]->type != GGML_TYPE_F32) { diff --git a/ggml/src/ggml-metal/ggml-metal-impl.h b/ggml/src/ggml-metal/ggml-metal-impl.h index 383e0d6e93..53437b23cd 100644 --- a/ggml/src/ggml-metal/ggml-metal-impl.h +++ b/ggml/src/ggml-metal/ggml-metal-impl.h @@ -35,7 +35,7 @@ #define N_R0_Q4_K 2 #define N_SG_Q4_K 2 -#define N_R0_Q5_K 2 +#define N_R0_Q5_K 1 #define N_SG_Q5_K 2 #define N_R0_Q6_K 2 @@ -83,6 +83,8 @@ #define FC_UNARY 1200 #define FC_BIN 1300 #define FC_SUM_ROWS 1400 +#define FC_UPSCALE 1500 +#define FC_GATED_DELTA_NET 1600 // op-specific constants #define OP_FLASH_ATTN_EXT_NQPSG 8 @@ -792,6 +794,44 @@ typedef struct { uint64_t nb0; } ggml_metal_kargs_ssm_scan; +typedef struct { + int32_t ne00; + int32_t ne01; + int32_t ne02; + int32_t ne03; + uint64_t nb00; + uint64_t nb01; + uint64_t nb02; + uint64_t nb03; + int32_t ne10; + int32_t ne11; + int32_t ne12; + int32_t ne13; + uint64_t nb10; + uint64_t nb11; + uint64_t nb12; + uint64_t nb13; + int32_t ne20; + int32_t ne21; + int32_t ne22; + int32_t ne23; + uint64_t nb20; + uint64_t nb21; + uint64_t nb22; + uint64_t nb23; + int32_t ns02; + int32_t ns12; + int32_t ns22; + int32_t ne0; + int32_t ne1; + int32_t ne2; + int32_t ne3; + uint64_t nb0; + uint64_t nb1; + uint64_t nb2; + uint64_t nb3; +} ggml_metal_kargs_gated_delta_net; + typedef struct { int32_t ne00; int32_t ne01; @@ -890,6 +930,7 @@ typedef struct { float sf1; float sf2; float sf3; + float poffs; } ggml_metal_kargs_upscale; typedef struct { diff --git a/ggml/src/ggml-metal/ggml-metal-ops.cpp b/ggml/src/ggml-metal/ggml-metal-ops.cpp index b3390352ff..c0bcad392b 100644 --- a/ggml/src/ggml-metal/ggml-metal-ops.cpp +++ b/ggml/src/ggml-metal/ggml-metal-ops.cpp @@ -333,6 +333,10 @@ static int ggml_metal_op_encode_impl(ggml_metal_op_t ctx, int idx) { { n_fuse = ggml_metal_op_rwkv(ctx, idx); } break; + case GGML_OP_GATED_DELTA_NET: + { + n_fuse = ggml_metal_op_gated_delta_net(ctx, idx); + } break; case GGML_OP_SOLVE_TRI: { n_fuse = ggml_metal_op_solve_tri(ctx, idx); @@ -1562,6 +1566,81 @@ int ggml_metal_op_rwkv(ggml_metal_op_t ctx, int idx) { return 1; } +int ggml_metal_op_gated_delta_net(ggml_metal_op_t ctx, int idx) { + ggml_tensor * op = ctx->node(idx); + + ggml_metal_library_t lib = ctx->lib; + ggml_metal_encoder_t enc = ctx->enc; + + + GGML_TENSOR_LOCALS( int32_t, ne0, op->src[0], ne); + GGML_TENSOR_LOCALS(uint64_t, nb0, op->src[0], nb); + GGML_TENSOR_LOCALS( int32_t, ne1, op->src[1], ne); + GGML_TENSOR_LOCALS(uint64_t, nb1, op->src[1], nb); + GGML_TENSOR_LOCALS( int32_t, ne2, op->src[2], ne); + GGML_TENSOR_LOCALS(uint64_t, nb2, op->src[2], nb); + GGML_TENSOR_LOCALS( int32_t, ne, op, ne); + GGML_TENSOR_LOCALS(uint64_t, nb, op, nb); + + auto pipeline = ggml_metal_library_get_pipeline_gated_delta_net(lib, op); + + int ida = 0; + + ggml_metal_kargs_gated_delta_net args = { + /*.ne00 =*/ ne00, + /*.ne01 =*/ ne01, + /*.ne02 =*/ ne02, + /*.ne03 =*/ ne03, + /*.nb00 =*/ nb00, + /*.nb01 =*/ nb01, + /*.nb02 =*/ nb02, + /*.nb03 =*/ nb03, + /*.ne10 =*/ ne10, + /*.ne11 =*/ ne11, + /*.ne12 =*/ ne12, + /*.ne13 =*/ ne13, + /*.nb10 =*/ nb10, + /*.nb11 =*/ nb11, + /*.nb12 =*/ nb12, + /*.nb13 =*/ nb13, + /*.ne20 =*/ ne20, + /*.ne21 =*/ ne21, + /*.ne22 =*/ ne22, + /*.ne23 =*/ ne23, + /*.nb20 =*/ nb20, + /*.nb21 =*/ nb21, + /*.nb22 =*/ nb22, + /*.nb23 =*/ nb23, + /*.ns02 =*/ (int32_t) (nb02/sizeof(float)), + /*.ns12 =*/ (int32_t) (nb12/sizeof(float)), + /*.ns22 =*/ (int32_t) (nb22/sizeof(float)), + /*.ne0 =*/ ne0, + /*.ne1 =*/ ne1, + /*.ne2 =*/ ne2, + /*.ne3 =*/ ne3, + /*.nb0 =*/ nb0, + /*.nb1 =*/ nb1, + /*.nb2 =*/ nb2, + /*.nb3 =*/ nb3, + }; + + ggml_metal_encoder_set_pipeline(enc, pipeline); + ggml_metal_encoder_set_bytes (enc, &args, sizeof(args), ida++); + ggml_metal_encoder_set_buffer (enc, ggml_metal_get_buffer_id(op->src[0]), ida++); // q + ggml_metal_encoder_set_buffer (enc, ggml_metal_get_buffer_id(op->src[1]), ida++); // k + ggml_metal_encoder_set_buffer (enc, ggml_metal_get_buffer_id(op->src[2]), ida++); // v + ggml_metal_encoder_set_buffer (enc, ggml_metal_get_buffer_id(op->src[3]), ida++); // gate + ggml_metal_encoder_set_buffer (enc, ggml_metal_get_buffer_id(op->src[4]), ida++); // beta + ggml_metal_encoder_set_buffer (enc, ggml_metal_get_buffer_id(op->src[5]), ida++); // state + ggml_metal_encoder_set_buffer (enc, ggml_metal_get_buffer_id(op), ida++); // dst + + const int nsg = pipeline.nsg; + + ggml_metal_encoder_dispatch_threadgroups(enc, op->src[2]->ne[0]/nsg, op->src[2]->ne[1], op->src[2]->ne[3], 32, nsg, 1); + + return 1; +} + int ggml_metal_op_solve_tri(ggml_metal_op_t ctx, int idx) { ggml_tensor * op = ctx->node(idx); @@ -1963,6 +2042,7 @@ int ggml_metal_op_mul_mat(ggml_metal_op_t ctx, int idx) { ( op->src[0]->type == GGML_TYPE_F32 || // TODO: helper function op->src[0]->type == GGML_TYPE_F16 || + op->src[0]->type == GGML_TYPE_BF16 || op->src[0]->type == GGML_TYPE_Q4_0 || op->src[0]->type == GGML_TYPE_Q4_1 || op->src[0]->type == GGML_TYPE_Q5_0 || @@ -1977,6 +2057,8 @@ int ggml_metal_op_mul_mat(ggml_metal_op_t ctx, int idx) { op->src[0]->type == GGML_TYPE_Q4_K || op->src[0]->type == GGML_TYPE_Q5_K || op->src[0]->type == GGML_TYPE_Q6_K || + op->src[0]->type == GGML_TYPE_Q2_K || + op->src[0]->type == GGML_TYPE_Q3_K || false) && (ne11 >= 4 && ne11 <= 8) ) ) @@ -3098,9 +3180,7 @@ int ggml_metal_op_bin(ggml_metal_op_t ctx, int idx) { ggml_metal_encoder_set_buffer (enc, bid_dst, 3); if (pipeline.cnt) { - const int n = pipeline.c4 ? ggml_nelements(op)/4 : ggml_nelements(op); - - ggml_metal_encoder_dispatch_threadgroups(enc, n, 1, 1, 1, 1, 1); + ggml_metal_encoder_dispatch_threadgroups(enc, args.ne0, ggml_nrows(op), 1, 1, 1, 1); } else { const int nth_max = MIN(256, ggml_metal_pipeline_max_theads_per_threadgroup(pipeline)); @@ -3729,32 +3809,43 @@ int ggml_metal_op_upscale(ggml_metal_op_t ctx, int idx) { GGML_TENSOR_LOCALS( int32_t, ne, op, ne); GGML_TENSOR_LOCALS(uint64_t, nb, op, nb); - const float sf0 = (float)ne0/op->src[0]->ne[0]; - const float sf1 = (float)ne1/op->src[0]->ne[1]; - const float sf2 = (float)ne2/op->src[0]->ne[2]; - const float sf3 = (float)ne3/op->src[0]->ne[3]; + float sf0 = (float)ne0/op->src[0]->ne[0]; + float sf1 = (float)ne1/op->src[0]->ne[1]; + float sf2 = (float)ne2/op->src[0]->ne[2]; + float sf3 = (float)ne3/op->src[0]->ne[3]; + + const int32_t mode_flags = ggml_get_op_params_i32(op, 0); + + float poffs = 0.5f; + + if (mode_flags & GGML_SCALE_FLAG_ALIGN_CORNERS) { + poffs = 0.0f; + sf0 = ne0 > 1 && ne00 > 1 ? (float)(ne0 - 1) / (ne00 - 1) : sf0; + sf1 = ne1 > 1 && ne01 > 1 ? (float)(ne1 - 1) / (ne01 - 1) : sf1; + } ggml_metal_kargs_upscale args = { - /*.ne00 =*/ ne00, - /*.ne01 =*/ ne01, - /*.ne02 =*/ ne02, - /*.ne03 =*/ ne03, - /*.nb00 =*/ nb00, - /*.nb01 =*/ nb01, - /*.nb02 =*/ nb02, - /*.nb03 =*/ nb03, - /*.ne0 =*/ ne0, - /*.ne1 =*/ ne1, - /*.ne2 =*/ ne2, - /*.ne3 =*/ ne3, - /*.nb0 =*/ nb0, - /*.nb1 =*/ nb1, - /*.nb2 =*/ nb2, - /*.nb3 =*/ nb3, - /*.sf0 =*/ sf0, - /*.sf1 =*/ sf1, - /*.sf2 =*/ sf2, - /*.sf3 =*/ sf3 + /*.ne00 =*/ ne00, + /*.ne01 =*/ ne01, + /*.ne02 =*/ ne02, + /*.ne03 =*/ ne03, + /*.nb00 =*/ nb00, + /*.nb01 =*/ nb01, + /*.nb02 =*/ nb02, + /*.nb03 =*/ nb03, + /*.ne0 =*/ ne0, + /*.ne1 =*/ ne1, + /*.ne2 =*/ ne2, + /*.ne3 =*/ ne3, + /*.nb0 =*/ nb0, + /*.nb1 =*/ nb1, + /*.nb2 =*/ nb2, + /*.nb3 =*/ nb3, + /*.sf0 =*/ sf0, + /*.sf1 =*/ sf1, + /*.sf2 =*/ sf2, + /*.sf3 =*/ sf3, + /*.poffs =*/ poffs, }; auto pipeline = ggml_metal_library_get_pipeline_upscale(lib, op); diff --git a/ggml/src/ggml-metal/ggml-metal-ops.h b/ggml/src/ggml-metal/ggml-metal-ops.h index f3e38c7aa9..019f2fec9e 100644 --- a/ggml/src/ggml-metal/ggml-metal-ops.h +++ b/ggml/src/ggml-metal/ggml-metal-ops.h @@ -58,6 +58,7 @@ int ggml_metal_op_soft_max (ggml_metal_op_t ctx, int idx); int ggml_metal_op_ssm_conv (ggml_metal_op_t ctx, int idx); int ggml_metal_op_ssm_scan (ggml_metal_op_t ctx, int idx); int ggml_metal_op_rwkv (ggml_metal_op_t ctx, int idx); +int ggml_metal_op_gated_delta_net (ggml_metal_op_t ctx, int idx); int ggml_metal_op_solve_tri (ggml_metal_op_t ctx, int idx); int ggml_metal_op_set (ggml_metal_op_t ctx, int idx); int ggml_metal_op_cpy (ggml_metal_op_t ctx, int idx); diff --git a/ggml/src/ggml-metal/ggml-metal.metal b/ggml/src/ggml-metal/ggml-metal.metal index a58e641ad8..b2328605dd 100644 --- a/ggml/src/ggml-metal/ggml-metal.metal +++ b/ggml/src/ggml-metal/ggml-metal.metal @@ -1111,6 +1111,7 @@ template [[host_name("kernel_unary_f16_f16_4")]] kernel kernel_unary_t kernel_un constant short FC_bin_op [[function_constant(FC_BIN + 0)]]; constant short FC_bin_f [[function_constant(FC_BIN + 1)]]; constant bool FC_bin_rb [[function_constant(FC_BIN + 2)]]; +constant bool FC_bin_cb [[function_constant(FC_BIN + 3)]]; template kernel void kernel_bin_fuse_impl( @@ -1124,11 +1125,12 @@ kernel void kernel_bin_fuse_impl( #define FC_OP FC_bin_op #define FC_F FC_bin_f #define FC_RB FC_bin_rb +#define FC_CB FC_bin_cb if (FC_RB) { // row broadcast - const uint i0 = tgpig.x; - const uint i1 = i0%args.ne10; + const uint i0 = tgpig.y*args.ne00 + tgpig.x; + const uint i1 = FC_CB ? tgpig.x%args.ne10 : tgpig.x; device const T0 * src0_row = (device const T0 *) (src0); device T * dst_row = (device T *) (dst); @@ -1200,7 +1202,7 @@ kernel void kernel_bin_fuse_impl( device const T1 * src1_ptr = (device const T1 *) (src1 + args.o1[0] + i13*args.nb13 + i12*args.nb12 + i11*args.nb11); for (int i0 = tpitg.x; i0 < args.ne0; i0 += ntg.x) { - const int i10 = i0%args.ne10; + const int i10 = FC_CB ? i0%args.ne10 : i0; if (FC_OP == 0) { dst_ptr[i0] = src0_ptr[i0] + src1_ptr[i10]; @@ -1225,7 +1227,7 @@ kernel void kernel_bin_fuse_impl( } for (int i0 = tpitg.x; i0 < args.ne0; i0 += ntg.x) { - const int i10 = i0%args.ne10; + const int i10 = FC_CB ? i0%args.ne10 : i0; T res = src0_ptr[i0]; @@ -1261,6 +1263,7 @@ kernel void kernel_bin_fuse_impl( #undef FC_OP #undef FC_F #undef FC_RB +#undef FC_CB } typedef decltype(kernel_bin_fuse_impl) kernel_bin_fuse_t; @@ -2434,6 +2437,228 @@ kernel void kernel_rwkv_wkv7_f32( } } +constant short FC_gated_delta_net_ne20 [[function_constant(FC_GATED_DELTA_NET + 0)]]; +constant short FC_gated_delta_net_ne30 [[function_constant(FC_GATED_DELTA_NET + 1)]]; + +#if 1 +template +kernel void kernel_gated_delta_net_impl( + constant ggml_metal_kargs_gated_delta_net & args, + device const char * q, + device const char * k, + device const char * v, + device const char * g, + device const char * b, + device const char * s, + device char * dst, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { +#define S_v FC_gated_delta_net_ne20 +#define G FC_gated_delta_net_ne30 + + const uint tx = tpitg.x; + const uint ty = tpitg.y; + + const uint i23 = tgpig.z; // B + const uint i21 = tgpig.y; // H + const uint i20 = tgpig.x*NSG + ty; + + const uint i01 = i21 % args.ne01; + const uint i11 = i21 % args.ne11; + + const float scale = 1.0f / sqrt((float)S_v); + + // state is stored transposed: M[i20][is] = S[is][i20], so row i20 is contiguous + device const float * s_ptr = (device const float *) (s) + (i23*args.ne21 + i21)*S_v*S_v + i20*S_v; + + float ls[NSG]; + + FOR_UNROLL (short j = 0; j < NSG; j++) { + const short is = tx*NSG + j; + ls[j] = s_ptr[is]; + } + + device float * dst_attn = (device float *) (dst) + (i23*args.ne22*args.ne21 + i21)*S_v + i20; + + device const float * q_ptr = (device const float *) (q + i23*args.nb03 + i01*args.nb01); + device const float * k_ptr = (device const float *) (k + i23*args.nb13 + i11*args.nb11); + device const float * v_ptr = (device const float *) (v + i23*args.nb23 + i21*args.nb21); + + device const float * b_ptr = (device const float *) (b) + (i23*args.ne22*args.ne21 + i21); + device const float * g_ptr = (device const float *) (g) + (i23*args.ne22*args.ne21 + i21)*G; + + for (short t = 0; t < args.ne22; t++) { + float s_k = 0.0f; + + if (G == 1) { + const float g_exp = exp(g_ptr[0]); + + FOR_UNROLL (short j = 0; j < NSG; j++) { + const short is = tx*NSG + j; + ls[j] *= g_exp; + + s_k += ls[j]*k_ptr[is]; + } + } else { + // KDA + FOR_UNROLL (short j = 0; j < NSG; j++) { + const short is = tx*NSG + j; + ls[j] *= exp(g_ptr[is]); + + s_k += ls[j]*k_ptr[is]; + } + } + + s_k = simd_sum(s_k); + + const float d = (v_ptr[i20] - s_k)*b_ptr[0]; + + float y = 0.0f; + + FOR_UNROLL (short j = 0; j < NSG; j++) { + const short is = tx*NSG + j; + ls[j] += k_ptr[is]*d; + + y += ls[j]*q_ptr[is]; + } + + y = simd_sum(y); + + if (tx == 0) { + dst_attn[t*args.ne21*S_v] = y*scale; + } + + q_ptr += args.ns02; + k_ptr += args.ns12; + v_ptr += args.ns22; + + b_ptr += args.ne21; + g_ptr += args.ne21*G; + } + + device float * dst_state = (device float *) (dst) + args.ne23*args.ne22*args.ne21*S_v + (i23*args.ne21 + i21)*S_v*S_v + i20*S_v; + + FOR_UNROLL (short j = 0; j < NSG; j++) { + const short is = tx*NSG + j; + dst_state[is] = ls[j]; + } + +#undef S_v +#undef G +} + +typedef decltype(kernel_gated_delta_net_impl<4>) kernel_gated_delta_net_t; + +template [[host_name("kernel_gated_delta_net_f32_1")]] kernel kernel_gated_delta_net_t kernel_gated_delta_net_impl<1>; +template [[host_name("kernel_gated_delta_net_f32_2")]] kernel kernel_gated_delta_net_t kernel_gated_delta_net_impl<2>; +template [[host_name("kernel_gated_delta_net_f32_4")]] kernel kernel_gated_delta_net_t kernel_gated_delta_net_impl<4>; + +#else +// a simplified version of the above +// no performance improvement, so keep the above version for now + +template +kernel void kernel_gated_delta_net_impl( + constant ggml_metal_kargs_gated_delta_net & args, + device const char * q, + device const char * k, + device const char * v, + device const char * g, + device const char * b, + device const char * s, + device char * dst, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { +#define S_v FC_gated_delta_net_ne20 +#define G FC_gated_delta_net_ne30 + + const uint tx = tpitg.x; + const uint ty = tpitg.y; + + const uint i23 = tgpig.z; // B + const uint i21 = tgpig.y; // H + const uint i20 = tgpig.x*NSG + ty; + + const uint i01 = i21 % args.ne01; + const uint i11 = i21 % args.ne11; + + const float scale = 1.0f / sqrt((float)S_v); + + device const float * s_ptr = (device const float *) (s) + (i23*args.ne21 + i21)*S_v*S_v + i20; + + float lsf[NSG]; + + FOR_UNROLL (short j = 0; j < NSG; j++) { + const short is = tx*NSG + j; + lsf[j] = s_ptr[is*S_v]; + } + + thread T * ls = (thread T *) (lsf); + + device float * dst_attn = (device float *) (dst) + (i23*args.ne22*args.ne21 + i21)*S_v + i20; + + device const float * q_ptr = (device const float *) (q + i23*args.nb03 + i01*args.nb01); + device const float * k_ptr = (device const float *) (k + i23*args.nb13 + i11*args.nb11); + device const float * v_ptr = (device const float *) (v + i23*args.nb23 + i21*args.nb21); + + device const float * b_ptr = (device const float *) (b) + (i23*args.ne22*args.ne21 + i21); + device const float * g_ptr = (device const float *) (g) + (i23*args.ne22*args.ne21 + i21)*G; + + for (short t = 0; t < args.ne22; t++) { + device const T * qt_ptr = (device const T *) (q_ptr); + device const T * kt_ptr = (device const T *) (k_ptr); + device const T * gt_ptr = (device const T *) (g_ptr); + + if (G == 1) { + *ls *= exp(g_ptr[0]); + } else { + // KDA + *ls *= exp(gt_ptr[tx]); + } + + const float s_k = simd_sum(dot(*ls, kt_ptr[tx])); + + const float d = (v_ptr[i20] - s_k)*b_ptr[0]; + + *ls += kt_ptr[tx]*d; + + const float y = simd_sum(dot(*ls, qt_ptr[tx])); + + if (tx == 0) { + *dst_attn = y*scale; + } + + q_ptr += args.ns02; + k_ptr += args.ns12; + v_ptr += args.ns22; + + b_ptr += args.ne21; + g_ptr += args.ne21*G; + + dst_attn += args.ne21*S_v; + } + + device float * dst_state = (device float *) (dst) + args.ne23*args.ne22*args.ne21*S_v + (i23*args.ne21 + i21)*S_v*S_v + i20; + device T * dstt_state = (device T *) (dst_state); + + FOR_UNROLL (short j = 0; j < NSG; j++) { + const short is = tx*NSG + j; + dst_state[is*S_v] = lsf[j]; + } + +#undef S_v +#undef G +} + +typedef decltype(kernel_gated_delta_net_impl) kernel_gated_delta_net_t; + +template [[host_name("kernel_gated_delta_net_f32_1")]] kernel kernel_gated_delta_net_t kernel_gated_delta_net_impl; +template [[host_name("kernel_gated_delta_net_f32_2")]] kernel kernel_gated_delta_net_t kernel_gated_delta_net_impl; +template [[host_name("kernel_gated_delta_net_f32_4")]] kernel kernel_gated_delta_net_t kernel_gated_delta_net_impl; +#endif + constant short FC_solve_tri_nsg [[function_constant(FC_SOLVE_TRI + 0)]]; constant short FC_solve_tri_n [[function_constant(FC_SOLVE_TRI + 1)]]; constant short FC_solve_tri_k [[function_constant(FC_SOLVE_TRI + 2)]]; @@ -2782,7 +3007,7 @@ kernel void kernel_l2_norm_impl( sumf = shmem_f32[tiisg]; sumf = simd_sum(sumf); - const float scale = 1.0f/sqrt(max(sumf, args.eps)); + const float scale = 1.0f/max(sqrt(sumf), args.eps); for (int i00 = tpitg.x; i00 < args.ne00; i00 += ntg.x) { y[i00] = x[i00] * scale; @@ -3481,6 +3706,13 @@ template [[host_name("kernel_mul_mv_ext_f16_f32_r1_3")]] kernel mul_mv_ext_q4 template [[host_name("kernel_mul_mv_ext_f16_f32_r1_4")]] kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<4, half4, 4, dequantize_f16_t4>; template [[host_name("kernel_mul_mv_ext_f16_f32_r1_5")]] kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<5, half4, 4, dequantize_f16_t4>; +#if defined(GGML_METAL_HAS_BF16) +template [[host_name("kernel_mul_mv_ext_bf16_f32_r1_2")]] kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<2, bfloat4, 4, dequantize_bf16_t4>; +template [[host_name("kernel_mul_mv_ext_bf16_f32_r1_3")]] kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<3, bfloat4, 4, dequantize_bf16_t4>; +template [[host_name("kernel_mul_mv_ext_bf16_f32_r1_4")]] kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<4, bfloat4, 4, dequantize_bf16_t4>; +template [[host_name("kernel_mul_mv_ext_bf16_f32_r1_5")]] kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<5, bfloat4, 4, dequantize_bf16_t4>; +#endif + template [[host_name("kernel_mul_mv_ext_q4_0_f32_r1_2")]] kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<2, block_q4_0, 32, dequantize_q4_0_t4>; template [[host_name("kernel_mul_mv_ext_q4_0_f32_r1_3")]] kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<3, block_q4_0, 32, dequantize_q4_0_t4>; template [[host_name("kernel_mul_mv_ext_q4_0_f32_r1_4")]] kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<4, block_q4_0, 32, dequantize_q4_0_t4>; @@ -3531,6 +3763,16 @@ template [[host_name("kernel_mul_mv_ext_q6_K_f32_r1_3")]] kernel mul_mv_ext_q4x4 template [[host_name("kernel_mul_mv_ext_q6_K_f32_r1_4")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<4, block_q6_K, 256, dequantize_q6_K>; template [[host_name("kernel_mul_mv_ext_q6_K_f32_r1_5")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<5, block_q6_K, 256, dequantize_q6_K>; +template [[host_name("kernel_mul_mv_ext_q2_K_f32_r1_2")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<2, block_q2_K, 256, dequantize_q2_K>; +template [[host_name("kernel_mul_mv_ext_q2_K_f32_r1_3")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<3, block_q2_K, 256, dequantize_q2_K>; +template [[host_name("kernel_mul_mv_ext_q2_K_f32_r1_4")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<4, block_q2_K, 256, dequantize_q2_K>; +template [[host_name("kernel_mul_mv_ext_q2_K_f32_r1_5")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<5, block_q2_K, 256, dequantize_q2_K>; + +template [[host_name("kernel_mul_mv_ext_q3_K_f32_r1_2")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<2, block_q3_K, 256, dequantize_q3_K>; +template [[host_name("kernel_mul_mv_ext_q3_K_f32_r1_3")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<3, block_q3_K, 256, dequantize_q3_K>; +template [[host_name("kernel_mul_mv_ext_q3_K_f32_r1_4")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<4, block_q3_K, 256, dequantize_q3_K>; +template [[host_name("kernel_mul_mv_ext_q3_K_f32_r1_5")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<5, block_q3_K, 256, dequantize_q3_K>; + template void kernel_mul_mv_t_t_impl( args_t args, @@ -4530,7 +4772,9 @@ kernel void kernel_conv_transpose_2d( uint3 tpitg[[thread_position_in_threadgroup]], uint3 ntg[[threads_per_threadgroup]]); -kernel void kernel_upscale_f32( +constant bool FC_upscale_aa [[function_constant(FC_UPSCALE + 0)]]; + +kernel void kernel_upscale_nearest_f32( constant ggml_metal_kargs_upscale & args, device const char * src0, device char * dst, @@ -4556,6 +4800,156 @@ kernel void kernel_upscale_f32( } } +static inline float bilinear_tri(float x) { + return MAX(0.0f, 1.0f - fabs(x)); +} + +kernel void kernel_upscale_bilinear_f32( + constant ggml_metal_kargs_upscale & args, + device const char * src0, + device char * dst, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { + + const int64_t i3 = tgpig.z; + const int64_t i2 = tgpig.y; + const int64_t i1 = tgpig.x; + + const int64_t i03 = i3 / args.sf3; + const int64_t i02 = i2 / args.sf2; + + const float f01 = ((float)i1 + args.poffs) / args.sf1 - args.poffs; + const int64_t i01 = MAX(0, MIN(args.ne01 - 1, (int64_t)floor(f01))); + const int64_t i01p = MAX(0, MIN(args.ne01 - 1, i01 + 1)); + const float fd1 = MAX(0.0f, MIN(1.0f, f01 - (float)i01)); + + src0 += i03*args.nb03 + i02*args.nb02; + + device float * dst_ptr = (device float *)(dst + i3*args.nb3 + i2*args.nb2 + i1*args.nb1); + + if (FC_upscale_aa) { + const float support0 = MAX(1.0f, 1.0f / args.sf0); + const float invscale0 = 1.0f / support0; + const float support1 = MAX(1.0f, 1.0f / args.sf1); + const float invscale1 = 1.0f / support1; + + for (int i0 = tpitg.x; i0 < args.ne0; i0 += ntg.x) { + const float f00 = ((float)i0 + args.poffs) / args.sf0 - args.poffs; + + int64_t x_min = MAX((int64_t)0, (int64_t)floor(f00 - support0 + args.poffs)); + int64_t x_max = MIN(args.ne00, (int64_t)ceil (f00 + support0 + args.poffs)); + + int64_t y_min = MAX((int64_t)0, (int64_t)floor(f01 - support1 + args.poffs)); + int64_t y_max = MIN(args.ne01, (int64_t)ceil (f01 + support1 + args.poffs)); + + float sum = 0.0f; + float wsum = 0.0f; + + for (int64_t sy = y_min; sy < y_max; ++sy) { + const float wy = MAX(0.0f, 1.0f - fabs((float)sy - f01) * invscale1); + for (int64_t sx = x_min; sx < x_max; ++sx) { + const float wx = MAX(0.0f, 1.0f - fabs((float)sx - f00) * invscale0); + const float w = wx * wy; + const device const float * src_ptr = (device const float *)(src0 + sy*args.nb01 + sx*args.nb00); + sum += (*src_ptr) * w; + wsum += w; + } + } + + const float v = (wsum > 0.0f) ? (sum / wsum) : 0.0f; + dst_ptr[i0] = v; + } + } else { + for (int i0 = tpitg.x; i0 < args.ne0; i0 += ntg.x) { + const float f00 = ((float)i0 + args.poffs) / args.sf0 - args.poffs; + const int64_t i00 = MAX(0, MIN(args.ne00 - 1, (int64_t)floor(f00))); + const int64_t i00p = MAX(0, MIN(args.ne00 - 1, i00 + 1)); + const float fd0 = MAX(0.0f, MIN(1.0f, f00 - (float)i00)); + + device const float * src00 = (device const float *)(src0 + i01*args.nb01 + i00*args.nb00); + device const float * src10 = (device const float *)(src0 + i01*args.nb01 + i00p*args.nb00); + device const float * src01 = (device const float *)(src0 + i01p*args.nb01 + i00*args.nb00); + device const float * src11 = (device const float *)(src0 + i01p*args.nb01 + i00p*args.nb00); + + const float v = + (*src00) * (1.0f - fd0) * (1.0f - fd1) + + (*src10) * fd0 * (1.0f - fd1) + + (*src01) * (1.0f - fd0) * fd1 + + (*src11) * fd0 * fd1; + + dst_ptr[i0] = v; + } + } +} + +static inline float bicubic_weight1(float x) { + const float a = -0.75f; + return ((a + 2) * x - (a + 3)) * x * x + 1; +} + +static inline float bicubic_weight2(float x) { + const float a = -0.75f; + return ((a * x - 5 * a) * x + 8 * a) * x - 4 * a; +} + +kernel void kernel_upscale_bicubic_f32( + constant ggml_metal_kargs_upscale & args, + device const char * src0, + device char * dst, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { + + const int64_t i3 = tgpig.z; + const int64_t i2 = tgpig.y; + const int64_t i1 = tgpig.x; + + const int64_t i03 = i3 / args.sf3; + const int64_t i02 = i2 / args.sf2; + + const float f01 = ((float)i1 + args.poffs) / args.sf1 - args.poffs; + const int64_t i01 = (int64_t)floor(f01); + const float fd1 = f01 - (float)i01; + + const float w_y0 = bicubic_weight2(fd1 + 1.0f); + const float w_y1 = bicubic_weight1(fd1); + const float w_y2 = bicubic_weight1(1.0f - fd1); + const float w_y3 = bicubic_weight2(2.0f - fd1); + + const device const char * src_slice = src0 + i03 * args.nb03 + i02 * args.nb02; + + device float * dst_ptr = (device float *)(dst + i3 * args.nb3 + i2 * args.nb2 + i1 * args.nb1); + + for (int i0 = tpitg.x; i0 < args.ne0; i0 += ntg.x) { + const float f00 = ((float)i0 + args.poffs) / args.sf0 - args.poffs; + const int64_t i00 = (int64_t)floor(f00); + const float fd0 = f00 - (float)i00; + + const float w_x0 = bicubic_weight2(fd0 + 1.0f); + const float w_x1 = bicubic_weight1(fd0); + const float w_x2 = bicubic_weight1(1.0f - fd0); + const float w_x3 = bicubic_weight2(2.0f - fd0); + + float sum = 0.0f; + + for (int dy = -1; dy <= 2; ++dy) { + const int64_t iy = MAX(0, MIN(args.ne01 - 1, i01 + dy)); + const float wy = (dy == -1) ? w_y0 : (dy == 0) ? w_y1 : (dy == 1) ? w_y2 : w_y3; + + for (int dx = -1; dx <= 2; ++dx) { + const int64_t ix = MAX(0, MIN(args.ne00 - 1, i00 + dx)); + const float wx = (dx == -1) ? w_x0 : (dx == 0) ? w_x1 : (dx == 1) ? w_x2 : w_x3; + + const device const float * src_ptr = (device const float *)(src_slice + iy * args.nb01 + ix * args.nb00); + sum += (*src_ptr) * wx * wy; + } + } + + dst_ptr[i0] = sum; + } +} + kernel void kernel_pad_f32( constant ggml_metal_kargs_pad & args, device const char * src0, @@ -5782,6 +6176,7 @@ template [[host_name("kernel_flash_attn_ext_f32_dk128_dv128")]] kernel flash_at template [[host_name("kernel_flash_attn_ext_f32_dk192_dv192")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_f32_dk192_dv128")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_f32_dk256_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext; +template [[host_name("kernel_flash_attn_ext_f32_dk320_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_f32_dk576_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_f16_dk32_dv32" )]] kernel flash_attn_ext_t kernel_flash_attn_ext; @@ -5796,6 +6191,7 @@ template [[host_name("kernel_flash_attn_ext_f16_dk128_dv128")]] kernel flash_at template [[host_name("kernel_flash_attn_ext_f16_dk192_dv192")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_f16_dk192_dv128")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_f16_dk256_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext; +template [[host_name("kernel_flash_attn_ext_f16_dk320_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_f16_dk576_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext; #if defined(GGML_METAL_HAS_BF16) @@ -5811,6 +6207,7 @@ template [[host_name("kernel_flash_attn_ext_bf16_dk128_dv128")]] kernel flash_at template [[host_name("kernel_flash_attn_ext_bf16_dk192_dv192")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_bf16_dk192_dv128")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_bf16_dk256_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext; +template [[host_name("kernel_flash_attn_ext_bf16_dk320_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_bf16_dk576_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext; #endif @@ -5826,6 +6223,7 @@ template [[host_name("kernel_flash_attn_ext_q4_0_dk128_dv128")]] kernel flash_at template [[host_name("kernel_flash_attn_ext_q4_0_dk192_dv192")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_q4_0_dk192_dv128")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_q4_0_dk256_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext; +template [[host_name("kernel_flash_attn_ext_q4_0_dk320_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_q4_0_dk576_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_q4_1_dk32_dv32" )]] kernel flash_attn_ext_t kernel_flash_attn_ext; @@ -5840,6 +6238,7 @@ template [[host_name("kernel_flash_attn_ext_q4_1_dk128_dv128")]] kernel flash_at template [[host_name("kernel_flash_attn_ext_q4_1_dk192_dv192")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_q4_1_dk192_dv128")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_q4_1_dk256_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext; +template [[host_name("kernel_flash_attn_ext_q4_1_dk320_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_q4_1_dk576_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_q5_0_dk32_dv32" )]] kernel flash_attn_ext_t kernel_flash_attn_ext; @@ -5854,6 +6253,7 @@ template [[host_name("kernel_flash_attn_ext_q5_0_dk128_dv128")]] kernel flash_at template [[host_name("kernel_flash_attn_ext_q5_0_dk192_dv192")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_q5_0_dk192_dv128")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_q5_0_dk256_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext; +template [[host_name("kernel_flash_attn_ext_q5_0_dk320_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_q5_0_dk576_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_q5_1_dk32_dv32" )]] kernel flash_attn_ext_t kernel_flash_attn_ext; @@ -5868,6 +6268,7 @@ template [[host_name("kernel_flash_attn_ext_q5_1_dk128_dv128")]] kernel flash_at template [[host_name("kernel_flash_attn_ext_q5_1_dk192_dv192")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_q5_1_dk192_dv128")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_q5_1_dk256_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext; +template [[host_name("kernel_flash_attn_ext_q5_1_dk320_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_q5_1_dk576_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_q8_0_dk32_dv32" )]] kernel flash_attn_ext_t kernel_flash_attn_ext; @@ -5882,6 +6283,7 @@ template [[host_name("kernel_flash_attn_ext_q8_0_dk128_dv128")]] kernel flash_at template [[host_name("kernel_flash_attn_ext_q8_0_dk192_dv192")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_q8_0_dk192_dv128")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_q8_0_dk256_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext; +template [[host_name("kernel_flash_attn_ext_q8_0_dk320_dv256")]] kernel flash_attn_ext_t kernel_flash_attn_ext; template [[host_name("kernel_flash_attn_ext_q8_0_dk576_dv512")]] kernel flash_attn_ext_t kernel_flash_attn_ext; #undef FA_TYPES @@ -6452,6 +6854,17 @@ template [[host_name("kernel_flash_attn_ext_vec_q5_0_dk256_dv256")]] kernel flas template [[host_name("kernel_flash_attn_ext_vec_q5_1_dk256_dv256")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec; template [[host_name("kernel_flash_attn_ext_vec_q8_0_dk256_dv256")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec; +template [[host_name("kernel_flash_attn_ext_vec_f32_dk320_dv256")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec; +template [[host_name("kernel_flash_attn_ext_vec_f16_dk320_dv256")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec; +#if defined(GGML_METAL_HAS_BF16) +template [[host_name("kernel_flash_attn_ext_vec_bf16_dk320_dv256")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec; +#endif +template [[host_name("kernel_flash_attn_ext_vec_q4_0_dk320_dv256")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec; +template [[host_name("kernel_flash_attn_ext_vec_q4_1_dk320_dv256")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec; +template [[host_name("kernel_flash_attn_ext_vec_q5_0_dk320_dv256")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec; +template [[host_name("kernel_flash_attn_ext_vec_q5_1_dk320_dv256")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec; +template [[host_name("kernel_flash_attn_ext_vec_q8_0_dk320_dv256")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec; + template [[host_name("kernel_flash_attn_ext_vec_f32_dk576_dv512")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec; template [[host_name("kernel_flash_attn_ext_vec_f16_dk576_dv512")]] kernel flash_attn_ext_vec_t kernel_flash_attn_ext_vec; #if defined(GGML_METAL_HAS_BF16) @@ -8912,6 +9325,7 @@ template [[host_name("kernel_mul_mm_id_map0_ne20_6" )]] kernel kernel_mul_mm_id_ template [[host_name("kernel_mul_mm_id_map0_ne20_8" )]] kernel kernel_mul_mm_id_map0_t kernel_mul_mm_id_map0<8>; template [[host_name("kernel_mul_mm_id_map0_ne20_10")]] kernel kernel_mul_mm_id_map0_t kernel_mul_mm_id_map0<10>; template [[host_name("kernel_mul_mm_id_map0_ne20_16")]] kernel kernel_mul_mm_id_map0_t kernel_mul_mm_id_map0<16>; +template [[host_name("kernel_mul_mm_id_map0_ne20_22")]] kernel kernel_mul_mm_id_map0_t kernel_mul_mm_id_map0<22>; template kernel void kernel_mul_mm_id( diff --git a/ggml/src/ggml-opencl/CMakeLists.txt b/ggml/src/ggml-opencl/CMakeLists.txt index fb3ae17eaf..1f8250934b 100644 --- a/ggml/src/ggml-opencl/CMakeLists.txt +++ b/ggml/src/ggml-opencl/CMakeLists.txt @@ -116,6 +116,7 @@ set(GGML_OPENCL_KERNELS neg norm relu + l2_norm rms_norm rope scale @@ -131,6 +132,7 @@ set(GGML_OPENCL_KERNELS ssm_conv sub sum_rows + cumsum transpose concat tsembd diff --git a/ggml/src/ggml-opencl/ggml-opencl.cpp b/ggml/src/ggml-opencl/ggml-opencl.cpp index 0a2c86c6e2..e1dca6b4b4 100644 --- a/ggml/src/ggml-opencl/ggml-opencl.cpp +++ b/ggml/src/ggml-opencl/ggml-opencl.cpp @@ -497,6 +497,7 @@ struct ggml_backend_opencl_context { kernel_geglu_f16, kernel_reglu_f16, kernel_swiglu_f16, kernel_geglu_erf_f16, kernel_geglu_quick_f16; cl_kernel kernel_norm, kernel_norm_mul_add; cl_kernel kernel_rms_norm, kernel_rms_norm_mul; + cl_kernel kernel_l2_norm_f32; cl_kernel kernel_group_norm, kernel_group_norm_mul_add; cl_kernel kernel_diag_mask_inf, kernel_diag_mask_inf_8; cl_kernel kernel_diag_f32; @@ -546,6 +547,7 @@ struct ggml_backend_opencl_context { cl_kernel kernel_im2col_f32, kernel_im2col_f16; cl_kernel kernel_argsort_f32_i32; cl_kernel kernel_sum_rows_f32, kernel_sum_rows_f32_4; + cl_kernel kernel_cumsum_blk, kernel_cumsum_add; cl_kernel kernel_repeat_f32; cl_kernel kernel_pad; cl_kernel kernel_tanh_f32, kernel_tanh_f32_4, kernel_tanh_f32_nc; @@ -1585,6 +1587,23 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve GGML_LOG_CONT("."); } + // l2_norm + { +#ifdef GGML_OPENCL_EMBED_KERNELS + const std::string kernel_src { + #include "l2_norm.cl.h" + }; +#else + const std::string kernel_src = read_file("l2_norm.cl"); +#endif + cl_program prog = + build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts); + + CL_CHECK((backend_ctx->kernel_l2_norm_f32 = clCreateKernel(prog, "kernel_l2_norm_f32", &err), err)); + CL_CHECK(clReleaseProgram(prog)); + GGML_LOG_CONT("."); + } + // rope { #ifdef GGML_OPENCL_EMBED_KERNELS @@ -1909,6 +1928,24 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve GGML_LOG_CONT("."); } + // cumsum + { +#ifdef GGML_OPENCL_EMBED_KERNELS + const std::string kernel_src { + #include "cumsum.cl.h" + }; +#else + const std::string kernel_src = read_file("cumsum.cl"); +#endif + cl_program prog; + prog = build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts); + + CL_CHECK((backend_ctx->kernel_cumsum_blk = clCreateKernel(prog, "kernel_cumsum_blk", &err), err)); + CL_CHECK((backend_ctx->kernel_cumsum_add = clCreateKernel(prog, "kernel_cumsum_add", &err), err)); + GGML_LOG_CONT("."); + CL_CHECK(clReleaseProgram(prog)); + } + // sigmoid { #ifdef GGML_OPENCL_EMBED_KERNELS @@ -3689,6 +3726,8 @@ static bool ggml_opencl_supports_op(ggml_backend_dev_t dev, const struct ggml_te return true; case GGML_OP_RMS_NORM: return op->ne[0] % 4 == 0 && ggml_is_contiguous_rows(op->src[0]); + case GGML_OP_L2_NORM: + return ggml_is_contiguous_rows(op->src[0]); case GGML_OP_REPEAT: return op->src[0]->type == GGML_TYPE_F32 && op->type == GGML_TYPE_F32; // Assuming F32 for now, can be expanded case GGML_OP_PAD: @@ -3783,6 +3822,8 @@ static bool ggml_opencl_supports_op(ggml_backend_dev_t dev, const struct ggml_te return cols <= max_workgroup_size && op->src[0]->type == GGML_TYPE_F32; } case GGML_OP_SUM_ROWS: + case GGML_OP_CUMSUM: + return op->src[0]->type == GGML_TYPE_F32 && ggml_is_contiguous(op->src[0]); case GGML_OP_MEAN: return op->src[0]->type == GGML_TYPE_F32; case GGML_OP_FLASH_ATTN_EXT: @@ -5755,19 +5796,12 @@ static void ggml_cl_get_rows(ggml_backend_t backend, const ggml_tensor * src0, c GGML_ASSERT(dst); GGML_ASSERT(dst->extra); - const int ne00 = src0->ne[0]; - const cl_ulong nb01 = src0->nb[1]; - const cl_ulong nb02 = src0->nb[2]; - const cl_ulong nb03 = src0->nb[3]; - const int ne10 = src1->ne[0]; - const cl_ulong nb10 = src1->nb[0]; - const int ne11 = src1->ne[1]; - const int ne12 = src1->ne[2]; - const cl_ulong nb11 = src1->nb[1]; - const cl_ulong nb12 = src1->nb[2]; - const cl_ulong nb1 = dst->nb[1]; - const cl_ulong nb2 = dst->nb[2]; - const cl_ulong nb3 = dst->nb[3]; + GGML_TENSOR_LOCALS(int, ne0, src0, ne); + GGML_TENSOR_LOCALS(cl_ulong, nb0, src0, nb); + GGML_TENSOR_LOCALS(int, ne1, src1, ne); + GGML_TENSOR_LOCALS(cl_ulong, nb1, src1, nb); + GGML_TENSOR_LOCALS(int, ne, dst, ne); + GGML_TENSOR_LOCALS(cl_ulong, nb, dst, nb); ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context; @@ -5813,8 +5847,14 @@ static void ggml_cl_get_rows(ggml_backend_t backend, const ggml_tensor * src0, c CL_CHECK(clSetKernelArg(kernel, 15, sizeof(cl_ulong), &nb2)); CL_CHECK(clSetKernelArg(kernel, 16, sizeof(cl_ulong), &nb3)); - size_t global_work_size[] = {(size_t)ne10*64, (size_t)ne11, (size_t)ne12}; - size_t local_work_size[] = {64, 1, 1}; + int max_workgroup_size = backend_ctx->get_kernel_workgroup_size(kernel); + int nth = 1; + while (nth < ne00 && 2*nth <= max_workgroup_size) { + nth *= 2; + } + + size_t global_work_size[] = {(size_t)ne10*nth, (size_t)ne11, (size_t)ne12}; + size_t local_work_size[] = {(size_t)nth, 1, 1}; backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst); } @@ -7554,6 +7594,64 @@ static void ggml_cl_group_norm(ggml_backend_t backend, const ggml_tensor * src0, backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst); } +static void ggml_cl_l2_norm(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + GGML_ASSERT(src0); + GGML_ASSERT(src0->extra); + GGML_ASSERT(dst); + GGML_ASSERT(dst->extra); + + UNUSED(src1); + + ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context; + + ggml_tensor_extra_cl * extra0 = (ggml_tensor_extra_cl *)src0->extra; + ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra; + + cl_ulong offset0 = extra0->offset + src0->view_offs; + cl_ulong offsetd = extrad->offset + dst->view_offs; + + float eps; + memcpy(&eps, dst->op_params, sizeof(float)); + + GGML_TENSOR_LOCALS(int, ne0, src0, ne); + GGML_TENSOR_LOCALS(cl_ulong, nb0, src0, nb); + + size_t sgs; + if (backend_ctx->gpu_family == ADRENO) { + sgs = 64; + } else if (backend_ctx->gpu_family == INTEL) { + sgs = 32; + } else { + GGML_ASSERT(false && "Unsupported GPU"); + } + + cl_kernel kernel = backend_ctx->kernel_l2_norm_f32; + + int nth = sgs; + while (nth < ne00 && nth < (int)backend_ctx->get_kernel_workgroup_size(kernel)) { + nth *= 2; + } + + CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra0->data_device)); + CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_ulong), &offset0)); + CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &extrad->data_device)); + CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_ulong), &offsetd)); + CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int), &ne00)); + CL_CHECK(clSetKernelArg(kernel, 5, sizeof(int), &ne01)); + CL_CHECK(clSetKernelArg(kernel, 6, sizeof(int), &ne02)); + CL_CHECK(clSetKernelArg(kernel, 7, sizeof(int), &ne03)); + CL_CHECK(clSetKernelArg(kernel, 8, sizeof(cl_ulong), &nb01)); + CL_CHECK(clSetKernelArg(kernel, 9, sizeof(cl_ulong), &nb02)); + CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_ulong), &nb03)); + CL_CHECK(clSetKernelArg(kernel, 11, sizeof(float), &eps)); + CL_CHECK(clSetKernelArg(kernel, 12, sizeof(float)*nth/sgs, NULL)); + + size_t global_work_size[] = {(size_t)ne01*nth, (size_t)ne02, (size_t)ne03}; + size_t local_work_size[] = {(size_t)nth, 1, 1}; + + backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst); +} + static void ggml_cl_tanh(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_ASSERT(src0); GGML_ASSERT(src0->extra); @@ -11871,6 +11969,118 @@ static void ggml_cl_sum_rows(ggml_backend_t backend, const ggml_tensor * src0, c backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst); } +static void ggml_cl_cumsum(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + GGML_ASSERT(src0); + GGML_ASSERT(src0->extra); + GGML_ASSERT(dst); + GGML_ASSERT(dst->extra); + GGML_UNUSED(src1); + + GGML_ASSERT(src0->nb[0] == ggml_type_size(src0->type)); + GGML_ASSERT(ggml_is_contiguous(src0)); + + ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context; + + ggml_tensor_extra_cl * extra0 = (ggml_tensor_extra_cl *)src0->extra; + ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra; + + cl_ulong offset0 = extra0->offset + src0->view_offs; + cl_ulong offsetd = extrad->offset + dst->view_offs; + + GGML_TENSOR_LOCALS(int, ne0, src0, ne); + GGML_TENSOR_LOCALS(cl_ulong, nb0, src0, nb); + + cl_kernel kernel = backend_ctx->kernel_cumsum_blk; + + int max_workgroup_size = backend_ctx->get_kernel_workgroup_size(kernel); + int nth = 1; + while (nth < ne00 && 2*nth <= max_workgroup_size) { + nth *= 2; + } + + GGML_ASSERT(ne00 <= nth*nth); + + const int net0 = CEIL_DIV(ne00, nth); + const int net1 = ne01; + const int net2 = ne02; + const int net3 = ne03; + + const cl_ulong nbt0 = sizeof(float); + const cl_ulong nbt1 = net0*nbt0; + const cl_ulong nbt2 = net1*nbt1; + const cl_ulong nbt3 = net2*nbt2; + + static ggml_cl_buffer tmp_buffer; + tmp_buffer.allocate(backend_ctx->context, net0*ne01*ne02*ne03*sizeof(float)); + + CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra0->data_device)); + CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_ulong), &offset0)); + CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &tmp_buffer.buffer)); + CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &extrad->data_device)); + CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_ulong), &offsetd)); + CL_CHECK(clSetKernelArg(kernel, 5, sizeof(int), &ne00)); + CL_CHECK(clSetKernelArg(kernel, 6, sizeof(int), &ne01)); + CL_CHECK(clSetKernelArg(kernel, 7, sizeof(int), &ne02)); + CL_CHECK(clSetKernelArg(kernel, 8, sizeof(int), &ne03)); + CL_CHECK(clSetKernelArg(kernel, 9, sizeof(cl_ulong), &nb00)); + CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_ulong), &nb01)); + CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_ulong), &nb02)); + CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_ulong), &nb03)); + CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int), &net0)); + CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int), &net1)); + CL_CHECK(clSetKernelArg(kernel, 15, sizeof(int), &net2)); + + size_t global_work_size[] = { (size_t)(nth*net0*ne01), (size_t)ne02, (size_t)ne03}; + size_t local_work_size[] = { (size_t)nth, 1, 1}; + + backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst); + + if(ne00 > nth) { + // if a single workgroup cannot handle an entire row, each workgroup + // computes a partial sum and stores to dst, tmp_buffer contains the sum + // of the each workgroup; cumsum this buffer and add to the partial sums in dst + cl_ulong offsett = 0; + kernel = backend_ctx->kernel_cumsum_blk; + CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &tmp_buffer.buffer)); + CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_ulong), &offsett)); + CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &tmp_buffer.buffer)); + CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &tmp_buffer.buffer)); + CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_ulong), &offsett)); + CL_CHECK(clSetKernelArg(kernel, 5, sizeof(int), &net0)); + CL_CHECK(clSetKernelArg(kernel, 6, sizeof(int), &ne01)); + CL_CHECK(clSetKernelArg(kernel, 7, sizeof(int), &ne02)); + CL_CHECK(clSetKernelArg(kernel, 8, sizeof(int), &ne03)); + CL_CHECK(clSetKernelArg(kernel, 9, sizeof(cl_ulong), &nbt0)); + CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_ulong), &nbt1)); + CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_ulong), &nbt2)); + CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_ulong), &nbt3)); + CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int), &net0)); + CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int), &net1)); + CL_CHECK(clSetKernelArg(kernel, 15, sizeof(int), &net2)); + + size_t global_work_size_1[] = { (size_t)net1*nth, (size_t)net2, (size_t)net3}; + size_t local_work_size_1[] = { (size_t)nth, 1, 1}; + backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size_1, local_work_size_1, dst); + + kernel = backend_ctx->kernel_cumsum_add; + CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &tmp_buffer.buffer)); + CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extrad->data_device)); + CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_ulong), &offsetd)); + CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int), &ne00)); + CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int), &ne01)); + CL_CHECK(clSetKernelArg(kernel, 5, sizeof(int), &ne02)); + CL_CHECK(clSetKernelArg(kernel, 6, sizeof(int), &ne03)); + CL_CHECK(clSetKernelArg(kernel, 7, sizeof(int), &nbt0)); + CL_CHECK(clSetKernelArg(kernel, 8, sizeof(int), &nbt1)); + CL_CHECK(clSetKernelArg(kernel, 9, sizeof(int), &nbt2)); + CL_CHECK(clSetKernelArg(kernel, 10, sizeof(int), &nbt3)); + + size_t global_work_size_2[] = { (size_t)(nth*net0*ne01), (size_t)ne02, (size_t)ne03}; + size_t local_work_size_2[] = { (size_t)nth, 1, 1}; + backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size_2, local_work_size_2, dst); + } +} + static void ggml_cl_glu(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_ASSERT(src0); GGML_ASSERT(src0->extra); @@ -12184,6 +12394,12 @@ bool ggml_cl_compute_forward(ggml_backend_t backend, struct ggml_tensor * tensor } func = ggml_cl_rms_norm; break; + case GGML_OP_L2_NORM: + if (!any_on_device) { + return false; + } + func = ggml_cl_l2_norm; + break; case GGML_OP_GROUP_NORM: if (!any_on_device) { return false; @@ -12307,6 +12523,12 @@ bool ggml_cl_compute_forward(ggml_backend_t backend, struct ggml_tensor * tensor } func = ggml_cl_sum_rows; break; + case GGML_OP_CUMSUM: + if (!any_on_device) { + return false; + } + func = ggml_cl_cumsum; + break; case GGML_OP_FLASH_ATTN_EXT: if (!any_on_device) { return false; diff --git a/ggml/src/ggml-opencl/kernels/cumsum.cl b/ggml/src/ggml-opencl/kernels/cumsum.cl new file mode 100644 index 0000000000..edfb74b705 --- /dev/null +++ b/ggml/src/ggml-opencl/kernels/cumsum.cl @@ -0,0 +1,139 @@ +#pragma OPENCL EXTENSION cl_khr_fp16 : enable + +#ifdef cl_intel_required_subgroup_size +#pragma OPENCL EXTENSION cl_intel_required_subgroup_size : enable +#define INTEL_GPU 1 +#define REQD_SUBGROUP_SIZE_16 __attribute__((intel_reqd_sub_group_size(16))) +#define REQD_SUBGROUP_SIZE_32 __attribute__((intel_reqd_sub_group_size(32))) +#elif defined(cl_qcom_reqd_sub_group_size) +#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable +#define ADRENO_GPU 1 +#define REQD_SUBGROUP_SIZE_64 __attribute__((qcom_reqd_sub_group_size("half"))) +#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full"))) +#endif + +// max workgroup size is usually 1024, this covers various subgroups sizes +#define MAX_SUBGROUPS 128 + +#ifdef INTEL_GPU +REQD_SUBGROUP_SIZE_32 +#elif defined (ADRENO_GPU) +REQD_SUBGROUP_SIZE_64 +#endif +kernel void kernel_cumsum_blk( + global char * src0, + ulong offset0, + global char * tmp, + global char * dst, + ulong offsetd, + int ne00, + int ne01, + int ne02, + int ne03, + ulong nb00, + ulong nb01, + ulong nb02, + ulong nb03, + uint net0, + uint net1, + uint net2 +) { + src0 = src0 + offset0; + dst = dst + offsetd; + + const int i3 = get_group_id(2); + const int i2 = get_group_id(1); + const int i1 = get_group_id(0); + + const int nth = get_local_size(0); + const int tid = get_local_id(0); + + const uint sg_size = get_sub_group_size(); + const uint sg_id = get_sub_group_id(); + const uint sg_lid = get_sub_group_local_id(); + + const int ib = i1 / ne01; + const int i00 = ib * nth; + const int i01 = i1 % ne01; + const int i02 = i2; + const int i03 = i3; + + global const float * src0_row = (global const float *)(src0 + i03*nb03 + i02*nb02 + i01*nb01); + global float * tmp_row = (global float *)tmp + net0 * i01 + net0 * net1 * i02 + net0 * net1 * net2 * i03; + global float * dst_row = (global float *)dst + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00; + + __local float partial[MAX_SUBGROUPS]; + + float v = 0.0f; + if (i00 + tid < ne00) { + v = src0_row[i00 + tid]; + } + + float s = sub_group_scan_inclusive_add(v); + if (sg_lid == sg_size - 1) { + partial[sg_id] = s; + } + barrier(CLK_LOCAL_MEM_FENCE); + + // NB: subgroup size should be larger than number of subgroups + // assuming max workgroup size of 1024, subgroup size should be >= 32 + if (sg_id == 0) { + float x = 0.0f; + if (sg_lid < get_num_sub_groups()) { + x = partial[sg_lid]; + } + float ex = sub_group_scan_exclusive_add(x); + if (sg_lid < get_num_sub_groups()) { + partial[sg_lid] = ex; + } + } + barrier(CLK_LOCAL_MEM_FENCE); + + s += partial[sg_id]; + + if (i00 + tid < ne00) { + dst_row[i00 + tid] = s; + } + if (ne00 > nth && tid == nth - 1) { + tmp_row[ib] = s; + } +} + +kernel void kernel_cumsum_add( + global char * tmp, + global char * dst, + ulong offsetd, + int ne00, + int ne01, + int ne02, + int ne03, + uint nbt0, + uint nbt1, + uint nbt2, + uint nbt3 +) { + dst = dst + offsetd; + + const int i3 = get_group_id(2); + const int i2 = get_group_id(1); + const int i1 = get_group_id(0); + + const int nth = get_local_size(0); + const int tid = get_local_id(0); + + const int ib = i1 / ne01; + if (ib == 0) { + return; + } + const int i00 = ib * nth; + const int i01 = i1 % ne01; + const int i02 = i2; + const int i03 = i3; + + global float * tmp_row = (global float *)(tmp + nbt1 * i01 + nbt2 * i02 + nbt3 * i03); + global float * dst_row = (global float *)dst + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00; + + if (i00 + tid < ne00) { + dst_row[i00 + tid] += tmp_row[ib - 1]; + } +} diff --git a/ggml/src/ggml-opencl/kernels/l2_norm.cl b/ggml/src/ggml-opencl/kernels/l2_norm.cl new file mode 100644 index 0000000000..fb95355a67 --- /dev/null +++ b/ggml/src/ggml-opencl/kernels/l2_norm.cl @@ -0,0 +1,71 @@ +#ifdef cl_intel_required_subgroup_size +#pragma OPENCL EXTENSION cl_intel_required_subgroup_size : enable +#define INTEL_GPU 1 +#define REQD_SUBGROUP_SIZE_16 __attribute__((intel_reqd_sub_group_size(16))) +#define REQD_SUBGROUP_SIZE_32 __attribute__((intel_reqd_sub_group_size(32))) +#elif defined(cl_qcom_reqd_sub_group_size) +#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable +#define ADRENO_GPU 1 +#define REQD_SUBGROUP_SIZE_64 __attribute__((qcom_reqd_sub_group_size("half"))) +#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full"))) +#endif + +#ifdef INTEL_GPU +REQD_SUBGROUP_SIZE_32 +#elif defined (ADRENO_GPU) +REQD_SUBGROUP_SIZE_64 +#endif +kernel void kernel_l2_norm_f32( + global void * src0, + ulong offset0, + global float * dst, + ulong offsetd, + int ne00, + int ne01, + int ne02, + int ne03, + ulong nb01, + ulong nb02, + ulong nb03, + float eps, + local float * sum +) { + src0 = (global void*)((global char*)src0 + offset0); + dst = (global float*)((global char*)dst + offsetd); + + int i03 = get_group_id(2); + int i02 = get_group_id(1); + int i01 = get_group_id(0); + + global float * x = (global float *) ((global char *) src0 + i03*nb03 + i02*nb02 + i01*nb01); + global float * y = (global float *) (dst + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00); + + float sumf = 0; + + // parallel sum + for (int i00 = get_local_id(0); i00 < ne00; i00 += get_local_size(0)) { + sumf += x[i00] * x[i00]; + } + sumf = sub_group_reduce_add(sumf); + + if (get_sub_group_local_id() == 0) { + sum[get_sub_group_id()] = sumf; + } + + barrier(CLK_LOCAL_MEM_FENCE); + + // broadcast + for (uint i = get_local_size(0) / get_max_sub_group_size() / 2; i > 0; i /= 2) { + if (get_local_id(0) < i) { + sum[get_local_id(0)] += sum[get_local_id(0) + i]; + } + } + + barrier(CLK_LOCAL_MEM_FENCE); + + const float scale = 1.0f/max(sqrt(sum[0]), eps); + + for (int i00 = get_local_id(0); i00 < ne00; i00 += get_local_size(0)) { + y[i00] = x[i00] * scale; + } +} diff --git a/ggml/src/ggml-openvino/.clang-format b/ggml/src/ggml-openvino/.clang-format new file mode 100644 index 0000000000..a2a24d7d33 --- /dev/null +++ b/ggml/src/ggml-openvino/.clang-format @@ -0,0 +1,154 @@ +--- +# Override root .clang-format +AlignConsecutiveAssignments: false +AlignConsecutiveDeclarations: false +Cpp11BracedListStyle: true +SpacesInContainerLiterals: false +BreakBeforeBraces: Attach +AccessModifierOffset: -4 +IndentCaseBlocks: false +IndentCaseLabels: false + +Language: Cpp +AlignAfterOpenBracket: Align +AlignArrayOfStructures: Left +AlignConsecutiveBitFields: AcrossComments +AlignConsecutiveMacros: AcrossComments +# AlignConsecutiveShortCaseStatements: AcrossComments +AlignEscapedNewlines: Left # LeftWithLastLine +AlignOperands: Align +AlignTrailingComments: + Kind: Always + OverEmptyLines: 1 +AllowAllArgumentsOnNextLine: true +AllowAllParametersOfDeclarationOnNextLine: false +# AllowBreakBeforeNoexceptSpecifier: OnlyWithParen +AllowShortBlocksOnASingleLine: Never +AllowShortCaseLabelsOnASingleLine: false +AllowShortFunctionsOnASingleLine: Inline +AllowShortIfStatementsOnASingleLine: Never +AllowShortLambdasOnASingleLine: Inline +AllowShortLoopsOnASingleLine: false +AlwaysBreakBeforeMultilineStrings: true +# Treat CUDA keywords/attributes as "attribute macros" and avoid breaking lines inside them +AttributeMacros: + - __host__ + - __device__ + - __global__ + - __forceinline__ + - __launch_bounds__ +BinPackArguments: true +BinPackParameters: false # OnePerLine +BitFieldColonSpacing: Both +# BreakAdjacentStringLiterals: true +BreakAfterAttributes: Never +BreakBeforeBinaryOperators: None +BreakBeforeInlineASMColon: OnlyMultiline +BreakBeforeTernaryOperators: false +# BreakBinaryOperations: Never +BreakConstructorInitializers: AfterColon +# BreakFunctionDefinitionParameters: false +BreakInheritanceList: AfterComma +BreakStringLiterals: true +# BreakTemplateDeclarations: Yes +ColumnLimit: 120 +CommentPragmas: '^ IWYU pragma:' +CompactNamespaces: false +ConstructorInitializerIndentWidth: 4 +ContinuationIndentWidth: 4 +DerivePointerAlignment: false +DisableFormat: false +EmptyLineBeforeAccessModifier: Leave +EmptyLineAfterAccessModifier: Never +ExperimentalAutoDetectBinPacking: false +FixNamespaceComments: true +IncludeBlocks: Regroup +IncludeCategories: + - Regex: '".*"' + Priority: 1 + SortPriority: 0 + - Regex: '^<.*\.h>' + Priority: 2 + SortPriority: 0 + - Regex: '^<.*' + Priority: 3 + SortPriority: 0 + - Regex: '.*' + Priority: 4 + SortPriority: 0 +IncludeIsMainRegex: '([-_](test|unittest))?$' +IncludeIsMainSourceRegex: '' +IndentAccessModifiers: false +IndentExternBlock: NoIndent +IndentGotoLabels: false +IndentPPDirectives: AfterHash +IndentWidth: 4 +IndentWrappedFunctionNames: false +InsertBraces: true # NOTE: may lead to incorrect formatting +InsertNewlineAtEOF: true +JavaScriptQuotes: Leave +JavaScriptWrapImports: true +KeepEmptyLinesAtTheStartOfBlocks: false +LambdaBodyIndentation: Signature +LineEnding: LF +MacroBlockBegin: '' +MacroBlockEnd: '' +MaxEmptyLinesToKeep: 1 +NamespaceIndentation: None +ObjCBinPackProtocolList: Auto +ObjCBlockIndentWidth: 4 +ObjCSpaceAfterProperty: true +ObjCSpaceBeforeProtocolList: true +PPIndentWidth: -1 +PackConstructorInitializers: CurrentLine +PenaltyBreakAssignment: 2 +PenaltyBreakBeforeFirstCallParameter: 1 +PenaltyBreakComment: 300 +PenaltyBreakFirstLessLess: 120 +PenaltyBreakString: 1000 +PenaltyBreakTemplateDeclaration: 10 +PenaltyExcessCharacter: 1000000 +PenaltyReturnTypeOnItsOwnLine: 200 +PointerAlignment: Middle +QualifierAlignment: Left +#QualifierOrder: ['static', 'inline', 'friend', 'constexpr', 'const', 'volatile', 'type', 'restrict'] +RawStringFormats: + - Language: Cpp + Delimiters: + - cc + - CC + - cpp + - Cpp + - CPP + - 'c++' + - 'C++' + CanonicalDelimiter: '' +ReferenceAlignment: Middle +ReflowComments: false # IndentOnly +SeparateDefinitionBlocks: Always +SortIncludes: CaseInsensitive +SortUsingDeclarations: LexicographicNumeric +SpaceAfterCStyleCast: true +SpaceAfterLogicalNot: false +SpaceAfterTemplateKeyword: true +SpaceBeforeAssignmentOperators: true +SpaceBeforeCpp11BracedList: false +SpaceBeforeCtorInitializerColon: true +SpaceBeforeInheritanceColon: true +SpaceBeforeParens: ControlStatements +SpaceBeforeRangeBasedForLoopColon: true +SpaceInEmptyBlock: false +SpaceInEmptyParentheses: false +SpacesBeforeTrailingComments: 2 +SpacesInAngles: Never +SpacesInLineCommentPrefix: + Minimum: 1 + Maximum: -1 +SpacesInParentheses: false +SpacesInSquareBrackets: false +SpaceBeforeSquareBrackets: false +Standard: c++17 +TabWidth: 4 +UseTab: Never +WhitespaceSensitiveMacros: ['STRINGIZE'] +... diff --git a/ggml/src/ggml-openvino/CMakeLists.txt b/ggml/src/ggml-openvino/CMakeLists.txt new file mode 100644 index 0000000000..175b585661 --- /dev/null +++ b/ggml/src/ggml-openvino/CMakeLists.txt @@ -0,0 +1,22 @@ +find_package(OpenVINO REQUIRED) +find_package(OpenCL REQUIRED) + +include("${OpenVINO_DIR}/../3rdparty/tbb/lib/cmake/TBB/TBBConfig.cmake") + +file(GLOB_RECURSE GGML_HEADERS_OPENVINO "*.h" "*.hpp") +file(GLOB_RECURSE GGML_SOURCES_OPENVINO "*.cpp") + +ggml_add_backend_library(ggml-openvino + ${GGML_SOURCES_OPENVINO} + ${GGML_HEADERS_OPENVINO} +) + +target_link_libraries(ggml-openvino PRIVATE openvino::runtime TBB::tbb OpenCL::OpenCL) + +if (GGML_OPENVINO) + if (CMAKE_SYSTEM_PROCESSOR STREQUAL "aarch64") + elseif (CMAKE_SYSTEM_PROCESSOR STREQUAL "x86_64" OR CMAKE_SYSTEM_PROCESSOR STREQUAL "amd64" OR CMAKE_SYSTEM_PROCESSOR STREQUAL "AMD64") + else() + message(FATAL_ERROR "OpenVINO: OpenVINO toolkit supports x86-64 and arm64 but not ${CMAKE_SYSTEM_PROCESSOR}") + endif() +endif() diff --git a/ggml/src/ggml-openvino/ggml-decoder.cpp b/ggml/src/ggml-openvino/ggml-decoder.cpp new file mode 100644 index 0000000000..0938d2273e --- /dev/null +++ b/ggml/src/ggml-openvino/ggml-decoder.cpp @@ -0,0 +1,975 @@ +#include "ggml-decoder.h" + +#include "ggml-backend-impl.h" +#include "ggml-backend.h" +#include "ggml-openvino-extra.h" +#include "ggml-openvino.h" +#include "ggml-quants.h" + +#include +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +GgmlOvDecoder::GgmlOvDecoder(ggml_cgraph * cgraph, + ModelParams & model_params, + ComputeParams & compute_params, + std::map> & model_weights, + bool is_static, + bool is_stateful, + bool is_prefill, + int prefill_chunk_size) : + m_is_static(is_static), + m_is_stateful(is_stateful), + m_is_prefill(is_prefill), + m_naive(false), + m_prefill_chunk_size(prefill_chunk_size), + m_cgraph(cgraph), + m_model_weights(model_weights), + m_model_params(model_params), + m_compute_params(compute_params) { + if (auto * env = getenv("GGML_OPENVINO_PRINT_CGRAPH_TENSOR_ADDRESS"); env && std::string(env) != "0") { +#ifdef _WIN32 + _putenv_s("GGML_OPENVINO_PRINT_CGRAPH_TENSOR_ADDRESS", ""); +#else + unsetenv("GGML_OPENVINO_PRINT_CGRAPH_TENSOR_ADDRESS"); +#endif + print_tensor_address_map(cgraph); + } + + validate_cgraph(); + + set_input_output(); + compute_model_inputs(); + compute_model_outputs(); + + for (int node_n = 0; node_n < cgraph->n_nodes; node_n++) { + m_node_info_list[node_n].node_op_case = compute_op_case(m_node_info_list[node_n].node); + m_node_info_list[node_n].node_op_type = compute_op_type(m_node_info_list[node_n].node); + } + + add_extra_inputs(); +} + +void GgmlOvDecoder::update_io(ggml_cgraph * cgraph) { + m_cgraph = cgraph; + m_model_inputs.clear(); + m_model_outputs.clear(); + m_node_info_list.clear(); + set_input_output(); + compute_model_inputs(); + compute_model_outputs(); +} + +GgmlOvDecoder::GgmlOvDecoder(ggml_cgraph * cgraph, std::map> & model_weights) { + m_cgraph = cgraph; + m_model_weights = model_weights; + m_naive = true; + set_input_output(); + compute_model_inputs(); + compute_model_outputs(); + for (int node_n = 0; node_n < cgraph->n_nodes; node_n++) { + m_node_info_list[node_n].node_op_case = compute_op_case(m_node_info_list[node_n].node); + m_node_info_list[node_n].node_op_type = compute_op_type(m_node_info_list[node_n].node); + } +} + +void GgmlOvDecoder::set_input_output() { + for (int node_n = 0; node_n < m_cgraph->n_nodes; node_n++) { + auto node = m_cgraph->nodes[node_n]; + + NodeInfo current_node_info; + auto node_name = std::string(node->name); + auto node_output_name = node_name; + auto * node_output = node; + if (node->op == GGML_OP_SET_ROWS) { + // SET_ROWS updates the tensor in place. For later ov op that uses the + // the view_src of SET_ROWS, we need to make sure they get the updated tensor + // by putting the view_src name in the tensor_map in + // /src/frontends/ggml/src/translate_session.cpp + node_output_name = std::string(node->view_src->name); + node_output = node->view_src; + } + + current_node_info.node = node; + current_node_info.node_name = node_name; + current_node_info.node_output = node_output; + current_node_info.node_output_name = node_output_name; + current_node_info.node_op_case = 0; + current_node_info.data_addr = node->data; + + for (int i = 0; i < GGML_MAX_SRC; i++) { + auto * src = node->src[i]; + if (src == nullptr) { + continue; + } + auto src_name = std::string(src->name); + if (src->flags & GGML_TENSOR_FLAG_INPUT) { + src_name = get_graph_input_ov_name(src, node); + } + current_node_info.node_inputs[src_name] = src; + current_node_info.node_inputs_names.push_back(src_name); + } + + m_node_info_list.push_back(current_node_info); + } +} + +int GgmlOvDecoder::compute_op_case(const ggml_tensor * node) const { + int op_case = 0; + switch (node->op) { + case GGML_OP_RESHAPE: { + auto * src = node->src[0]; + if (src->op == GGML_OP_RESHAPE && src->src[0]->ne[0] == node->ne[0] && src->src[0]->ne[1] == node->ne[1]) { + op_case = 4; + } else if (node->ne[0] * node->ne[1] == src->ne[0]) { + op_case = 1; + } else if (src->ne[0] * src->ne[1] == node->ne[0]) { + op_case = 2; + if (src->ne[2] * src->ne[3] == node->ne[1]) { + op_case = 5; + } + } else if (src->ne[0] * src->ne[1] == node->ne[1]) { + op_case = 3; + } else if (src->ne[1] * src->ne[2] == node->ne[1]) { + op_case = 6; + } + break; + } + case GGML_OP_CONT: { + if (node->src[0]->op == GGML_OP_PERMUTE) { + op_case = 1; + } else if (node->src[0]->op == GGML_OP_TRANSPOSE) { + op_case = 2; + } else if (node->src[0]->op == GGML_OP_VIEW) { + op_case = 3; + } + break; + } + case GGML_OP_PERMUTE: { + if (node->src[0]->op != GGML_OP_VIEW) { + op_case = 1; + } else if (node->src[0]->src[0]->op == GGML_OP_NONE) { + // kv cache tensor + std::string src_name(node->view_src->name); + int layer = extract_layer_from_name(src_name); + if (!is_swa_layer(layer)) { + op_case = 2; + } else { + op_case = 3; + } + } else { + // rope'ed query tensor + op_case = 4; + } + break; + } + case GGML_OP_MUL_MAT: { + if (node->src[0]->op == GGML_OP_CONT && node->src[0]->src[0]->op == GGML_OP_TRANSPOSE) { + op_case = 2; + } else if (node->src[0]->op == GGML_OP_VIEW && node->src[1]->op == GGML_OP_VIEW) { + op_case = 3; + } + break; + } + case GGML_OP_GET_ROWS: { + if (node->src[1]->op == GGML_OP_VIEW) { + op_case = 2; + } + break; + } + case GGML_OP_ROPE: { + if (node->src[0]->op == GGML_OP_VIEW) { + op_case = 2; + } + break; + } + case GGML_OP_VIEW: { + if (node->src[0]->op == GGML_OP_VIEW) { + auto * src = node->src[0]; + if (ggml_nelements(node) != ggml_nelements(src)) { + throw std::runtime_error("Unsupported VIEW case"); + } + op_case = 2; + } + { + auto * src = node->src[0]; + if ((ggml_nelements(node) != ggml_nelements(src)) && m_naive) { + // Compare each dimension of node and src, if only one dimension differs then op_case=3 + int diff_count = 0; + for (int i = 0; i < GGML_MAX_DIMS; i++) { + if (node->ne[i] != src->ne[i]) { + diff_count++; + } + } + if (diff_count == 1) { + op_case = 3; + } + } + } + break; + } + default: + break; + } + return op_case; +} + +int extract_layer_from_name(const std::string & name) { + size_t pos1 = name.find("_l"); + assert(pos1 != std::string::npos); + pos1 += 2; + size_t pos2 = name.find(' ', pos1); + if (pos2 == std::string::npos) { + pos2 = name.length(); + } + std::string layer_str = name.substr(pos1, pos2 - pos1); + int layer = std::stoi(layer_str); + return layer; +} + +std::pair GgmlOvDecoder::compute_llm_params(ggml_cgraph * cgraph, bool is_static) { + ModelParams model_params; + ComputeParams compute_params; + for (int i = 0; i < cgraph->n_nodes; i++) { + auto * node = cgraph->nodes[i]; + std::string name = std::string(node->name); + if (node->op == GGML_OP_FLASH_ATTN_EXT) { + model_params.n_heads = node->src[0]->ne[2]; + model_params.n_heads_kv = node->src[1]->ne[2]; + model_params.head_size = node->src[0]->ne[0]; + compute_params.input_len = node->src[0]->ne[1]; + + auto * cache_k_perm = node->src[1]; + if (cache_k_perm->op == GGML_OP_CPY) { + cache_k_perm = cache_k_perm->src[0]; + } + assert(cache_k_perm->op == GGML_OP_PERMUTE); + auto * cache_k_view = cache_k_perm->src[0]; + assert(cache_k_view->op == GGML_OP_VIEW); + + auto * cache_k = cache_k_view->src[0]; + int layer = extract_layer_from_name(cache_k->name); + auto * mask = node->src[3]; + std::string mask_name(mask->name); + + model_params.kv_buffer_ctx_id = ggml_backend_openvino_buffer_get_ctx_id(cache_k->buffer); + if (mask_name.find("swa") != std::string::npos) { + model_params.swa_layers.push_back(layer); + model_params.ctx_per_seq_swa = cache_k->ne[1]; + } else { + model_params.ctx_per_seq = cache_k->ne[1]; + model_params.n_seq = cache_k->ne[2]; + } + + compute_params.n_seq_active = mask->ne[3]; + auto seq_size = cache_k->ne[0] * cache_k->ne[1] * ggml_type_size(cache_k->type); + size_t offset; + memcpy(&offset, cache_k_view->op_params, sizeof(size_t)); + compute_params.seq_active_start = offset / seq_size; + compute_params.token_len_per_seq = node->ne[2]; + + if (mask_name.find("swa") != std::string::npos) { + compute_params.attention_size_swa = mask->ne[0]; + } else { + compute_params.attention_size = mask->ne[0]; + } + if (is_static) { + compute_params.attention_size = model_params.ctx_per_seq; + compute_params.attention_size_swa = model_params.ctx_per_seq_swa; + compute_params.token_len_per_seq = 1; + } + break; + } + if (node->op == GGML_OP_ROPE) { + memcpy(model_params.rope_params, node->op_params, sizeof(int32_t) * 15); + } + } + auto * output_tensor = cgraph->nodes[cgraph->n_nodes - 1]; + compute_params.output_len = output_tensor->ne[1]; + // for NPU, output_len is always 1 except for llama-perplexity + if (is_static && compute_params.output_len == 0) { + compute_params.output_len = 1; + } + model_params.ctx = model_params.ctx_per_seq * model_params.n_seq; + model_params.ctx_swa = model_params.ctx_per_seq_swa * model_params.n_seq; + return {model_params, compute_params}; +} + +void GgmlOvDecoder::validate_cgraph() const { + if (m_model_params.n_seq > 1 && m_is_static == true) { + throw std::runtime_error("n_seq > 1 is not supported on NPU. Try setting -np 1."); + } +} + +ov::PartialShape GgmlOvDecoder::get_graph_input_shape(const ggml_tensor * op, const ggml_tensor * input) const { + if (m_naive) { + return input!= nullptr ? ov::PartialShape{get_shape(input)} : ov::PartialShape{get_shape(op)}; + } + auto name = std::string(input->name); + ov::PartialShape input_shape; + + if (is_inp_tok(input, op) || is_inp_pos(input, op)) { + // tokens or positions + int len = m_is_static ? (m_is_prefill ? m_prefill_chunk_size : 1) : -1; + input_shape = ov::PartialShape{1, 1, 1, len}; + + } else if (is_output_idx(input, op)) { + // output index + input_shape = ov::PartialShape{1, 1, 1, m_is_static ? m_compute_params.output_len : -1}; + + } else if (is_inp_mask(input, op)) { + // mask + if (m_is_static) { + input_shape = ov::PartialShape{1, 1, m_is_prefill ? m_prefill_chunk_size : 1, m_model_params.ctx}; + } else if (m_is_stateful) { + input_shape = ov::PartialShape{1, 1, -1, -1}; + } else { + input_shape = ov::PartialShape{-1, 1, -1, -1}; + } + + } else if (is_kvcache(input, op)) { + // kvcache + input_shape = ov::PartialShape{get_shape(input)}; + if (!m_is_static) { + // do not fix ctx size to make llama-bench work across test params + input_shape[2] = -1; + } + if (is_stateful()) { + // Convert stateless KV cache layout [1, 1, seq, n_heads_kv * head_size] + // to stateful layout [1, seq, n_heads_kv, head_size]. + assert(input_shape.size() == 4 && input_shape[0] == 1 && input_shape[1] == 1 && + input_shape[2].is_dynamic() && + input_shape[3] == (m_model_params.n_heads_kv * m_model_params.head_size)); + input_shape = {input_shape[0], ov::Dimension::dynamic(), m_model_params.n_heads_kv, + m_model_params.head_size}; + } + + } else if (is_kv_idx(input, op)) { + // kv update index + int len = m_is_static ? (m_is_prefill ? m_prefill_chunk_size : 1) : -1; + input_shape = ov::PartialShape{1, 1, 1, len}; + + } else { + input_shape = ov::PartialShape{get_shape(input)}; + } + return input_shape; +} + +void GgmlOvDecoder::add_extra_inputs() { + // Extra inputs: + // 1. `attention_size`, used in FLASH_ATTN where the shape of the matmul's are 256 aligned, + // see llama_kv_cache_unified::get_n_kv and llama_kv_cache_unified::get_padding. + // 2. `n_seq_active` and `seq_active_start`, used in FLASH_ATTN_EXT to indicate the active sequences in the batch + + auto create_1d_input = [this](const std::string & name, int64_t value) { + if (m_is_static) { + auto constant = + std::make_shared(ov::element::i64, ov::Shape{1}, std::vector{value}); + constant->set_friendly_name(name); + m_model_extra_inputs[name] = constant; + } else { + auto param_node = std::make_shared(ov::element::i64, ov::Shape{1}); + param_node->set_friendly_name(name); + param_node->output(0).get_tensor().set_names({name}); + m_model_extra_inputs[name] = param_node; + + auto tensor = std::make_shared(ov::element::i64, ov::Shape{1}); + *tensor->data() = value; + m_model_extra_input_values[name] = tensor; + } + }; + + create_1d_input("attention_size", m_compute_params.attention_size); + if (m_compute_params.attention_size_swa != -1) { + create_1d_input("attention_size_swa", m_compute_params.attention_size_swa); + } + create_1d_input("n_seq_active", m_compute_params.n_seq_active); + create_1d_input("seq_active_start", m_compute_params.seq_active_start); + create_1d_input("seq_active_end", m_compute_params.seq_active_start + m_compute_params.n_seq_active); + create_1d_input("token_len_per_seq", m_compute_params.token_len_per_seq); + // create_1d_input("token_len", m_token_len_per_seq * m_n_seq_active); +} + +bool GgmlOvDecoder::node_is_used_as_src(const int node_idx) { + ggml_tensor * node = m_cgraph->nodes[node_idx]; + for (int i = node_idx; i < m_cgraph->n_nodes; i++) { + ggml_tensor * other_node = m_cgraph->nodes[i]; + for (int j = 0; j < GGML_MAX_SRC; j++) { + if (other_node->src[j] == node) { + return true; + } + } + } + return false; +} + +void GgmlOvDecoder::compute_model_inputs() { + m_model_inputs.clear(); + m_inputs.clear(); + for (int i = 0; i < m_cgraph->n_nodes; i++) { + ggml_tensor * node = m_cgraph->nodes[i]; + // the node op is NONE means this node maybe as input of later nodes, we should add it to model inputs for this node. + if (node->op == GGML_OP_NONE && node_is_used_as_src(i)) { + std::string node_name(node->name); + if (m_model_weights.find(node_name) == m_model_weights.end()) { + m_inputs[node_name] = node; + auto param_node = + std::make_shared(get_ov_type(node), get_graph_input_shape(node, nullptr)); + param_node->set_friendly_name(node_name); + param_node->output(0).get_tensor().set_names({node_name}); + m_model_inputs[node_name] = param_node; + } + continue; + } + for (int i = 0; i < GGML_MAX_SRC; i++) { + auto * src = node->src[i]; + if (src == nullptr) { + continue; + } + std::string src_name = std::string(src->name); + if (src->flags & GGML_TENSOR_FLAG_INPUT) { + src_name = get_graph_input_ov_name(src, node); + } + if (m_model_weights.find(src_name) != m_model_weights.end()) { + continue; + } + + bool is_intermediate_node = false; + for (const auto & node_info : m_node_info_list) { + if (node_info.node == src) { + is_intermediate_node = true; + break; + } + } + if (is_intermediate_node) { + continue; + } + if (m_model_inputs.find(src_name) != m_model_inputs.end()) { + continue; + } + + m_inputs[src_name] = src; + + ggml_backend_buffer * buffer = src->buffer; + // GGML_BACKEND_BUFFER_USAGE_ANY are kv caches + if (buffer->usage == GGML_BACKEND_BUFFER_USAGE_ANY) { + if (auto it = std::find(m_model_params.kv_names.begin(), m_model_params.kv_names.end(), src_name); + it == m_model_params.kv_names.end()) { + m_model_params.kv_names.push_back(src_name); + } + } + ov::PartialShape param_shape = get_graph_input_shape(node, src); + auto param_node = std::make_shared(get_ov_type(src), param_shape); + param_node->set_friendly_name(src_name); + param_node->output(0).get_tensor().set_names({src_name}); + m_model_inputs[src_name] = param_node; + } + } +} + +void GgmlOvDecoder::compute_model_outputs() { + m_model_outputs.clear(); + m_model_output_names.clear(); + for (int node_n = 0; node_n < m_cgraph->n_nodes; node_n++) { + auto * cur_node = m_cgraph->nodes[node_n]; + // if the node op is NONE means this node is not used at all, we can skip it directly without adding to model outputs. + if (cur_node->op == GGML_OP_NONE) { + continue; + } + auto cur_node_use_count = m_cgraph->use_counts[ggml_hash_find(&m_cgraph->visited_hash_set, cur_node)]; + if (cur_node_use_count == 0) { + // The output of SET_ROWS is the view_src tensor, which is updated in place. We should use the view_src name as the output name to make sure it can be correctly matched with the later ops that use the view_src. + if (cur_node != nullptr && cur_node->op == GGML_OP_SET_ROWS) { + cur_node = cur_node->view_src; + } + } else { + int input_use_count = 0; + for (int i = 0; i < m_cgraph->n_nodes; i++) { + ggml_tensor * node = m_cgraph->nodes[i]; + for (int j = 0; j < GGML_MAX_SRC; j++) { + if (node->src[j] != NULL && node->src[j] == cur_node) { + input_use_count++; + } + } + } + if (input_use_count == cur_node_use_count) { + cur_node = nullptr; + } + } + if (cur_node != nullptr) { + std::string node_output_name(cur_node->name); + m_model_outputs[node_output_name] = cur_node; + m_model_output_names.push_back(node_output_name); + } + } +} + +const ggml_tensor * GgmlOvDecoder::get_tensor_used_op(const ggml_tensor * tensor) const { + if (tensor == nullptr) { + return nullptr; + } + for (int i = 0; i < m_cgraph->n_nodes; i++) { + const auto * node = m_cgraph->nodes[i]; + for (int j = 0; j < GGML_MAX_SRC; j++) { + if (node->src[j] == tensor) { + return node; + } + } + } + return nullptr; +} + +const ggml_tensor * GgmlOvDecoder::get_tensor_from_name(const std::string & name) const { + for (int i = 0; i < m_cgraph->n_nodes; i++) { + const auto * node = m_cgraph->nodes[i]; + for (int j = 0; j < GGML_MAX_SRC; j++) { + const auto * src = node->src[j]; + if (src == nullptr) { + break; + } + if (std::string(src->name) == name) { + return src; + } + } + } + return nullptr; +} + +std::map GgmlOvDecoder::get_kv_param_res_names() const { + std::map kv_param_res_names; + for (const auto & name : m_model_params.kv_names) { + kv_param_res_names[name] = name; + } + return kv_param_res_names; +} + +std::map> GgmlOvDecoder::create_weight_nodes(ggml_cgraph * cgraph, bool naive) { + static std::mutex weights_mutex; + std::lock_guard lock(weights_mutex); + + std::map> model_weights; + auto * nodes = cgraph->nodes; + auto n_nodes = cgraph->n_nodes; + for (int node_i = 0; node_i < n_nodes; node_i++) { + auto * node = nodes[node_i]; + for (int i = 0; i < GGML_MAX_SRC; i++) { + auto * src = node->src[i]; + if (src == nullptr) { + continue; + } + + std::string src_name(src->name); + if (is_rope_freqs_weight(src, node)) { + src_name = "rope_freqs.weight"; + } + if (!src->view_src) { + ggml_backend_buffer * buffer = src->buffer; + if (buffer->usage == GGML_BACKEND_BUFFER_USAGE_WEIGHTS || ggml_is_quantized(src->type)) { + if (model_weights.find(src_name) == model_weights.end()) { + auto weight_node = create_weight_node(src, naive); + weight_node->set_friendly_name(src_name); + model_weights[src_name] = weight_node; + } + } + } + } + } + return model_weights; +} + +std::shared_ptr GgmlOvDecoder::create_weight_node(ggml_tensor * tensor, bool naive) { + const bool is_ov_buffer = ggml_backend_buffer_is_openvino(tensor->buffer); + + // Check if we have a pre-built constant from the OpenVINO backend buffer + // This is set during ggml_backend_openvino_buffer_set_tensor + if (tensor->extra) { + OPENVINO_ASSERT(is_ov_buffer, "Unsupported weight tensor: " + std::string(tensor->name) + + " Possibly this is a cpu backend repacked quantized weights"); + // Cast to our extra base type and check the type + auto * extra_base = static_cast(tensor->extra); + + if (extra_base->type == ggml_openvino_extra_base::Type::WEIGHT) { + // F16/F32/BF16 weight with shared-memory constant + auto * weight_extra = static_cast(tensor->extra); + if (weight_extra->weight_node) { + // GGML_LOG_DEBUG("%s: using pre-built weight node for %s\n", __func__, tensor->name); + return weight_extra->weight_node; + } + } else if (extra_base->type == ggml_openvino_extra_base::Type::QUANTIZED_WEIGHT) { + // Quantized weight with pre-extracted data + auto * quant_extra = static_cast(tensor->extra); + if (quant_extra->weight_node) { + // GGML_LOG_DEBUG("%s: using pre-extracted quantized weight node for %s\n", __func__, tensor->name); + return quant_extra->weight_node; + } + } + } + + // There are three cases where we need to create a new weight node: + // 1. weights are in openvino_host_buffer. Weight loading to host buffer will not trigger backend_buffer_set_tensor + // 2. weights are in cpu/cpu_mapped buffer. On token_embd.weight goes to case 1 or 2, depending on whether mmap or direct_io is used + // 3. test-backend-ops. buffers in test-backend-ops does not set USAGE_WEIGHT so backend_buffer_set_tensor will not create weight node + + // GGML_LOG_DEBUG("%s: creating new weight node for %s\n", __func__, tensor->name); + static const std::set weight_types = {GGML_TYPE_F32, GGML_TYPE_F16, GGML_TYPE_BF16, + GGML_TYPE_Q8_0, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1, + GGML_TYPE_Q4_K, GGML_TYPE_Q5_K, GGML_TYPE_Q6_K}; + if (weight_types.find(tensor->type) == weight_types.end()) { + throw std::runtime_error("Unexpected weight tensor type: " + std::string(tensor->name) + " with type " + + ggml_type_name(tensor->type)); + } + + OvWeight ov_weight; + if (ggml_is_quantized(tensor->type)) { + auto use_bias = naive; + if (is_ov_buffer) { + // For quantized weights, copy raw data to a temp buffer first because + // process_weight_tensor reads from data and writes extracted results + // (weights/scales/zp) to output_base_ptr — they would overlap if both + // point to tensor->data. + size_t raw_size = ggml_nbytes(tensor); + std::vector tmp(raw_size); + memcpy(tmp.data(), tensor->data, raw_size); + ov_weight = process_weight_tensor(tensor, tmp.data(), tensor->data, use_bias); + } else { + ov_weight = process_weight_tensor(tensor, tensor->data, nullptr, use_bias); + } + } else { + // For non-quantized weights (F16/F32/BF16), data is already in tensor->data. + // process_weight_tensor will create an ov::Tensor wrapping tensor->data directly. + ov_weight = process_weight_tensor(tensor, tensor->data, tensor->data); + } + + ov_weight.weight_node->set_friendly_name(tensor->name); + if (!is_ov_buffer) { + return ov_weight.weight_node; + } + + ggml_openvino_extra_base * extra; + if (ov_weight.is_quantized()) { + extra = new ggml_openvino_quantized_weight_extra(std::move(ov_weight.weights), std::move(ov_weight.scales), + std::move(ov_weight.zp), ov_weight.weight_node); + } else { + extra = new ggml_openvino_weight_extra(std::move(ov_weight.weights), ov_weight.weight_node); + } + ggml_openvino_buffer_register_extra(tensor, extra); + + return ov_weight.weight_node; +} + +void GgmlOvDecoder::dump_cgraph(const ggml_cgraph * cgraph, std::string & filename) { + std::ofstream file(filename); + if (!file.is_open()) { + std::cerr << "Failed to open file" << std::endl; + return; + } + + file << "=== GRAPH ===\n"; + + // clang-format off + file << "n_nodes = " << cgraph->n_nodes << "\n"; + file << " " << std::setw(3) << "nodes" + << std::setw(15) << "shape" + << std::setw(20) << "op" + << std::setw(20) << "name" + << std::setw(3) << " " + << std::setw(62) << "stride" + << std::setw(20) << "buffer_type" + << "\n"; + for (int i = 0; i < cgraph->n_nodes; i++) { + ggml_tensor * node = cgraph->nodes[i]; + + // Get buffer type name + const char * buf_name = "none"; + ggml_backend_buffer_t buf = node->view_src ? node->view_src->buffer : node->buffer; + if (buf) { + buf_name = ggml_backend_buffer_name(buf); + } + + file << " - " << std::setw(3) << i << ": [ " + << std::setw(5) << node->ne[0] << ", " + << std::setw(5) << node->ne[1] << ", " + << std::setw(5) << node->ne[2] << ", " + << std::setw(5) << node->ne[3] << "] " + << std::left << std::setw(20) << ggml_op_name(node->op) << std::right << " " + << std::left << std::setw(45) << node->name << std::right + << std::setw(2) << "[ " + << std::setw(0) << node->nb[0] << ", " + << std::setw(5) << node->nb[1] << ", " + << std::setw(5) << node->nb[2] << ", " + << std::setw(5) << node->nb[3] << "] " + << std::right << std::setw(15) << buf_name << std::right + << "\n"; + + for (int i = 0; i < GGML_MAX_SRC; i++) { + if (auto* src = node->src[i]) { + // Get buffer type name for source + const char * src_buf_name = "none"; + ggml_backend_buffer_t src_buf = src->view_src ? src->view_src->buffer : src->buffer; + if (src_buf) { + src_buf_name = ggml_backend_buffer_name(src_buf); + } + + file << std::setw(10) << " [ " + << std::setw(5) << src->ne[0] << ", " + << std::setw(5) << src->ne[1] << ", " + << std::setw(5) << src->ne[2] << ", " + << std::setw(5) << src->ne[3] << "] " + << std::setw(12) + << i << ": " << std::left << std::setw(12) << ggml_op_name(src->op) << std::right; + file << std::left << std::setw(30) << src->name << std::right + << std::setw(16) << "[ " + << std::setw(0) << src->nb[0] << ", " + << std::setw(5) << src->nb[1] << ", " + << std::setw(5) << src->nb[2] << ", " + << std::setw(5) << src->nb[3] << "] " + << std::right << std::setw(15) << src_buf_name << std::right + << "\n"; + } + } + } + + file << "n_leafs = " << cgraph->n_leafs << "\n"; + for (int i = 0; i < cgraph->n_leafs; i++) { + ggml_tensor * node = cgraph->leafs[i]; + + // Get buffer type name for leaf + const char * leaf_buf_name = "none"; + ggml_backend_buffer_t leaf_buf = node->view_src ? node->view_src->buffer : node->buffer; + if (leaf_buf) { + leaf_buf_name = ggml_backend_buffer_name(leaf_buf); + } + + file << " - " << std::setw(3) << i << ": [ " + << std::setw(5) << node->ne[0] << ", " + << std::setw(5) << node->ne[1] << "] " + << std::setw(8) << ggml_op_name(node->op) << " " + << std::setw(16) << ggml_get_name(node) + << std::setw(20) << leaf_buf_name << "\n"; + } + // clang-format on + file << "========================================\n"; + + file.close(); +} + +void print_tensor_address_map(const ggml_cgraph * cgraph) { + std::map> address_map; + for (int node_n = 0; node_n < cgraph->n_nodes; node_n++) { + auto * node = cgraph->nodes[node_n]; + if (node->data) { + auto it = address_map.find(node->data); + if (it == address_map.end()) { + address_map[node->data] = std::vector(); + } + address_map[node->data].push_back(node->name); + } + } + for (const auto & pair : address_map) { + std::cout << "Address: " << pair.first << std::endl; + for (const auto & name : pair.second) { + std::cout << name << " ; "; + } + std::cout << std::endl << std::endl; + } +} + +ov::Shape GgmlOvDecoder::get_shape(const ggml_tensor * tensor) { + std::vector shape; + for (int i = GGML_MAX_DIMS - 1; i >= 0; --i) { + shape.push_back(static_cast(tensor->ne[i])); + } + return shape; +} + +std::vector GgmlOvDecoder::get_stride(const ggml_tensor * tensor) { + std::vector stride; + for (int i = GGML_MAX_DIMS - 1; i >= 0; --i) { + stride.push_back(static_cast(tensor->nb[i])); + } + return stride; +} + +ov::element::Type GgmlOvDecoder::get_ov_type(const ggml_tensor * tensor) { + switch (tensor->type) { + case GGML_TYPE_F64: + return ov::element::f64; + case GGML_TYPE_F32: + return ov::element::f32; + case GGML_TYPE_F16: + return ov::element::f16; + case GGML_TYPE_BF16: + return ov::element::bf16; + case GGML_TYPE_I8: + return ov::element::i8; + case GGML_TYPE_I16: + return ov::element::i16; + case GGML_TYPE_I32: + return ov::element::i32; + case GGML_TYPE_I64: + return ov::element::i64; + default: + return ov::element::dynamic; + } +} + +ov::PartialShape GgmlOvDecoder::get_input_shape(int node_idx, const std::string & name) const { + return ov::PartialShape(get_shape(m_node_info_list[node_idx].node_inputs.at(name))); +} + +std::vector GgmlOvDecoder::get_input_stride(int node_idx, const std::string & name) const { + return get_stride(m_node_info_list[node_idx].node_inputs.at(name)); +} + +ov::element::Type GgmlOvDecoder::get_input_type(int node_idx, const std::string & name) const { + return get_ov_type(m_node_info_list[node_idx].node_inputs.at(name)); +} + +size_t GgmlOvDecoder::get_input_size() const { + return m_model_inputs.size(); +} + +size_t GgmlOvDecoder::get_input_size(int node_idx) const { + return m_node_info_list[node_idx].node_inputs_names.size(); +} + +std::vector GgmlOvDecoder::get_input_names(int node_idx) const { + return m_node_info_list[node_idx].node_inputs_names; +} + +ov::PartialShape GgmlOvDecoder::get_output_shape(int node_idx) const { + auto * ggml_tensor = m_node_info_list[node_idx].node_output; + return ov::PartialShape(get_shape(ggml_tensor)); +} + +ov::element::Type GgmlOvDecoder::get_output_type(const int node_idx) const { + return get_ov_type(m_node_info_list[node_idx].node); +} + +std::vector GgmlOvDecoder::get_output_names(int node_idx) const { + return {m_node_info_list[node_idx].node_output_name}; +} + +const std::string & GgmlOvDecoder::get_op_name() const { + static const std::string unknown_name = "UNKNOWN_OP_NAME"; + return unknown_name; +} + +const std::string & GgmlOvDecoder::get_op_name(int node_idx) const { + return m_node_info_list[node_idx].node_name; +} + +int32_t * GgmlOvDecoder::get_input_op_params(int node_idx, const std::string & name) const { + return m_node_info_list[node_idx].node_inputs.at(name)->op_params; +} + +int32_t * GgmlOvDecoder::get_output_op_params(int node_idx) const { + return m_node_info_list[node_idx].node->op_params; +} + +void GgmlOvDecoder::visit_subgraph(std::function, int node_idx)> node_visitor) const { + for (int node_idx = 0; node_idx < m_cgraph->n_nodes; node_idx++) { + if (m_cgraph->nodes[node_idx]->op == GGML_OP_NONE) { + continue; + } + node_visitor(std::make_shared(*this), node_idx); + } +} + +std::string GgmlOvDecoder::compute_op_type(const ggml_tensor * node) { + static const std::map ops = { + {GGML_OP_NONE, "GGML_OP_NONE" }, + {GGML_OP_ACC, "GGML_OP_ACC" }, + {GGML_OP_ADD, "GGML_OP_ADD" }, + {GGML_OP_ADD1, "GGML_OP_ADD1" }, + {GGML_OP_CONT, "GGML_OP_CONT" }, + {GGML_OP_DIV, "GGML_OP_DIV" }, + {GGML_OP_DUP, "GGML_OP_DUP" }, + {GGML_OP_GET_ROWS, "GGML_OP_GET_ROWS" }, + {GGML_OP_MUL, "GGML_OP_MUL" }, + {GGML_OP_MUL_MAT, "GGML_OP_MUL_MAT" }, + {GGML_OP_PERMUTE, "GGML_OP_PERMUTE" }, + {GGML_OP_RESHAPE, "GGML_OP_RESHAPE" }, + {GGML_OP_RMS_NORM, "GGML_OP_RMS_NORM" }, + {GGML_OP_ROPE, "GGML_OP_ROPE" }, + {GGML_OP_SCALE, "GGML_OP_SCALE" }, + {GGML_OP_SOFT_MAX, "GGML_OP_SOFT_MAX" }, + {GGML_OP_SUB, "GGML_OP_SUB" }, + {GGML_OP_TRANSPOSE, "GGML_OP_TRANSPOSE" }, + {GGML_OP_VIEW, "GGML_OP_VIEW" }, + {GGML_OP_SET_ROWS, "GGML_OP_SET_ROWS" }, + {GGML_OP_CPY, "GGML_OP_CPY" }, + {GGML_OP_FLASH_ATTN_EXT, "GGML_OP_FLASH_ATTN_EXT"}, + }; + static const std::map unary_ops = { + {GGML_UNARY_OP_ABS, "GGML_UNARY_OP_ABS" }, + {GGML_UNARY_OP_SGN, "GGML_UNARY_OP_SGN" }, + {GGML_UNARY_OP_NEG, "GGML_UNARY_OP_NEG" }, + {GGML_UNARY_OP_STEP, "GGML_UNARY_OP_STEP" }, + {GGML_UNARY_OP_TANH, "GGML_UNARY_OP_TANH" }, + {GGML_UNARY_OP_ELU, "GGML_UNARY_OP_ELU" }, + {GGML_UNARY_OP_RELU, "GGML_UNARY_OP_RELU" }, + {GGML_UNARY_OP_SIGMOID, "GGML_UNARY_OP_SIGMOID" }, + {GGML_UNARY_OP_GELU, "GGML_UNARY_OP_GELU" }, + {GGML_UNARY_OP_GELU_QUICK, "GGML_UNARY_OP_GELU_QUICK" }, + {GGML_UNARY_OP_SILU, "GGML_UNARY_OP_SILU" }, + {GGML_UNARY_OP_HARDSWISH, "GGML_UNARY_OP_HARDSWISH" }, + {GGML_UNARY_OP_HARDSIGMOID, "GGML_UNARY_OP_HARDSIGMOID"}, + {GGML_UNARY_OP_EXP, "GGML_UNARY_OP_EXP" }, + {GGML_UNARY_OP_COUNT, "GGML_UNARY_OP_COUNT" } + }; + static const std::map glu_ops = { + {GGML_GLU_OP_SWIGLU, "GGML_GLU_OP_SWIGLU"}, + {GGML_GLU_OP_GEGLU, "GGML_GLU_OP_GEGLU" }, + {GGML_GLU_OP_REGLU, "GGML_GLU_OP_REGLU" } + }; + + switch (node->op) { + case GGML_OP_UNARY: + return unary_ops.at(ggml_get_unary_op(node)); + case GGML_OP_GLU: + return glu_ops.at(ggml_get_glu_op(node)); + default: + return ops.at(node->op); + } + static const std::string unknown_op = "UNKNOWN_GGML_OP"; + return unknown_op; +} + +const std::string & GgmlOvDecoder::get_op_type(int node_idx) const { + return m_node_info_list[node_idx].node_op_type; +} + +const std::string & GgmlOvDecoder::get_op_type() const { + static const std::string unknown_op = "UNKNOWN_GGML_OP"; + return unknown_op; +} diff --git a/ggml/src/ggml-openvino/ggml-decoder.h b/ggml/src/ggml-openvino/ggml-decoder.h new file mode 100644 index 0000000000..3ae25ddda3 --- /dev/null +++ b/ggml/src/ggml-openvino/ggml-decoder.h @@ -0,0 +1,294 @@ +#pragma once + +#include "ggml-quants.h" +#include "ggml.h" +#include "openvino/decoder.h" + +#include +#include +#include +#include +#include +#include +#include + +struct ModelParams { + int ctx = -1; + int ctx_swa = -1; + int ctx_per_seq = -1; + int ctx_per_seq_swa = -1; + int n_seq = 1; + int n_heads = -1; + int n_heads_kv = -1; + int head_size = -1; + int32_t rope_params[15]; + std::vector swa_layers; + + std::vector kv_names; + size_t kv_buffer_ctx_id = 0; + + bool same_rope_params(const ModelParams & other) const { + return memcmp(rope_params, other.rope_params, sizeof(int32_t) * 15) == 0; + } + + bool can_reuse_dynamically(const ModelParams & other) const { return same_rope_params(other); } + + bool can_reuse_statically(const ModelParams & other) const { return same_rope_params(other) && ctx == other.ctx; } + + bool kv_buffer_changed(const ModelParams & other) const { return kv_buffer_ctx_id != other.kv_buffer_ctx_id; } +}; + +struct ComputeParams { + int n_seq_active = 1; + int seq_active_start = 0; + int attention_size = -1; + int attention_size_swa = -1; + int input_len = -1; + int token_len_per_seq = -1; + int past_kv_len = -1; + int output_len = 1; +}; + +class GgmlOvDecoder : public ov::frontend::ggml::GgmlDecoder { +public: + struct NodeInfo { + ggml_tensor * node; + std::string node_name; + std::string node_op_type; + std::map node_inputs; + std::vector node_inputs_names; + ggml_tensor * node_output; + std::string node_output_name; + int node_op_case = 0; + void * data_addr; + }; + // Graph decoder + GgmlOvDecoder(ggml_cgraph * cgraph, + ModelParams & model_params, + ComputeParams & compute_params, + std::map> & model_weights, + bool is_static, + bool is_stateful = false, + bool is_prefill = false, + int prefill_chunk_size = 256); + + // Naive graph decoder + GgmlOvDecoder(ggml_cgraph * cgraph, std::map> & model_weights); + + virtual ov::Any get_attribute(const std::string & name) const override { + return nullptr; + GGML_UNUSED(name); + } + + virtual ov::PartialShape get_input_shape(int node_idx, const std::string & name) const override; + + virtual std::vector get_input_stride(int node_idx, const std::string & name) const override; + + virtual ov::element::Type get_input_type(int node_idx, const std::string & name) const override; + + virtual size_t get_input_size() const override; + + virtual size_t get_input_size(int node_idx) const override; + + virtual void get_input_node(size_t input_port_idx, + std::string & producer_name, + std::string & producer_output_port_name, + size_t & producer_output_port_index) const override { + GGML_UNUSED(input_port_idx); + GGML_UNUSED(producer_name); + GGML_UNUSED(producer_output_port_name); + GGML_UNUSED(producer_output_port_index); + } + + virtual std::vector get_input_names(int node_idx) const override; + + virtual ov::PartialShape get_output_shape(int node_idx) const override; + + virtual ov::element::Type get_output_type(int node_idx) const override; + + virtual int32_t * get_input_op_params(int node_idx, const std::string & name) const override; + + virtual int32_t * get_output_op_params(int node_idx) const override; + + virtual std::vector get_output_names(int node_idx) const override; + + virtual const std::string & get_op_type() const override; + + virtual const std::string & get_op_type(int node_idx) const override; + + virtual const std::string & get_op_name() const override; + + virtual const std::string & get_op_name(int node_idx) const override; + + virtual void visit_subgraph(std::function, int node_idx)> node_visitor) const override; + + ggml_tensor * get_input_ggml_tensor(const std::string & name) const { return m_inputs.at(name); } + + virtual int get_op_case(int node_idx) const override { return m_node_info_list[node_idx].node_op_case; } + + virtual const std::map> & get_model_inputs() const override { + return m_model_inputs; + } + + virtual const std::map> & get_model_extra_inputs() const override { + return m_model_extra_inputs; + } + + virtual const std::map> & get_model_extra_input_values() const { + return m_model_extra_input_values; + } + + virtual const std::map> & get_model_weights() const override { + return m_model_weights; + } + + virtual std::vector get_model_output_names() const override { + return m_model_output_names; + } + + const std::map & get_model_outputs() const { return m_model_outputs; } + + virtual int get_ctx_size() const { return m_model_params.ctx; } + + virtual int get_ctx_swa_size() const { return m_model_params.ctx_swa; } + + virtual int get_ctx_per_seq() const { return m_model_params.ctx_per_seq; } + + virtual int get_ctx_per_seq_swa() const { return m_model_params.ctx_per_seq_swa; } + + virtual int get_n_seq() const { return m_model_params.n_seq; } + + virtual int is_swa_layer(int layer) const override { + return std::find(m_model_params.swa_layers.begin(), m_model_params.swa_layers.end(), layer) != + m_model_params.swa_layers.end(); + } + + int get_past_kv_len() const { return m_compute_params.past_kv_len; } + + int get_input_len() const { return m_compute_params.input_len; } + + virtual int32_t * get_rope_params() const override { return const_cast(m_model_params.rope_params); } + + virtual std::map get_kv_param_res_names() const override; + + virtual bool is_static() const override { return m_is_static; } + + virtual bool is_stateful() const override { return m_is_stateful; } + + ov::PartialShape get_graph_input_shape(const ggml_tensor * op, const ggml_tensor * input) const; + + static void dump_cgraph(const ggml_cgraph * cgraph, std::string & filename); + + static std::shared_ptr create_weight_node(ggml_tensor * tensor, bool naive = false); + + static std::map> create_weight_nodes(ggml_cgraph * cgraph, + bool naive = false); + + const ggml_tensor * get_tensor_used_op(const ggml_tensor * tensor) const; + + const ggml_tensor * get_tensor_from_name(const std::string & name) const; + + void clear_model_weights() { m_model_weights.clear(); } + + static std::pair compute_llm_params(ggml_cgraph * cgraph, bool is_static); + + ModelParams get_model_params() const { return m_model_params; } + + ComputeParams get_compute_params() const { return m_compute_params; } + + void set_model_params(const ModelParams & model_params) { m_model_params = model_params; } + + void set_compute_params(const ComputeParams & compute_params) { m_compute_params = compute_params; } + + bool m_is_static = false; + bool m_is_stateful = false; + bool m_is_prefill = false; + bool m_naive = false; + int m_prefill_chunk_size = 0; + + static ov::Shape get_shape(const ggml_tensor * tensor); + static std::vector get_stride(const ggml_tensor * tensor); + static ov::element::Type get_ov_type(const ggml_tensor * tensor); + static std::string compute_op_type(const ggml_tensor * node); + void add_extra_inputs(); + + void update_io(ggml_cgraph * cgraph); + + inline static bool is_inp_tok(const ggml_tensor * tensor, const ggml_tensor * op) { + return op->op == GGML_OP_GET_ROWS && tensor == op->src[1] && op->src[0]->op == GGML_OP_NONE; + } + + inline static bool is_inp_pos(const ggml_tensor * tensor, const ggml_tensor * op) { + return op->op == GGML_OP_ROPE && tensor == op->src[1]; + } + + inline static bool is_inp_emb(const ggml_tensor * tensor, const ggml_tensor * op) { + return tensor->op == GGML_OP_GET_ROWS && op->op == GGML_OP_RMS_NORM; + } + + inline static bool is_inp_mask(const ggml_tensor * tensor, const ggml_tensor * op) { + return op->op == GGML_OP_CPY || (op->op == GGML_OP_FLASH_ATTN_EXT && tensor == op->src[3]); + } + + inline static bool is_rope_freqs_weight(const ggml_tensor * tensor, const ggml_tensor * op) { + return op->op == GGML_OP_ROPE && tensor == op->src[2]; + } + + inline static bool is_kvcache(const ggml_tensor * tensor, const ggml_tensor * op) { + return op->op == GGML_OP_SET_ROWS && op->src[2] == tensor; + } + + inline static bool is_kv_idx(const ggml_tensor * tensor, const ggml_tensor * op) { + return op->op == GGML_OP_SET_ROWS && op->src[1] == tensor; + } + + inline static bool is_output_idx(const ggml_tensor * tensor, const ggml_tensor * op) { + return op->op == GGML_OP_GET_ROWS && tensor == op->src[1] && op->src[0]->op != GGML_OP_NONE; + } + + static std::string get_graph_input_ov_name(const ggml_tensor * tensor, const ggml_tensor * op) { + if (is_inp_tok(tensor, op)) { + return "inp_tokens"; + } + if (is_inp_pos(tensor, op)) { + return "inp_pos"; + } + if (is_inp_emb(tensor, op)) { + return "embd"; + } + if (is_output_idx(tensor, op)) { + return "inp_out_ids"; + } + if (is_inp_mask(tensor, op)) { + return std::string(tensor->name).find("swa") == std::string::npos ? "self_kq_mask" : "self_kq_mask_swa"; + } + return tensor->name; + } + +private: + void set_input_output(); + int compute_op_case(const ggml_tensor * node) const; + bool node_is_used_as_src(const int node_idx); + void compute_model_inputs(); + void compute_model_outputs(); + + void validate_cgraph() const; + + ggml_cgraph * m_cgraph = nullptr; + std::map m_inputs; + + std::map> m_model_inputs; + std::map> m_model_extra_inputs; + std::map> m_model_extra_input_values; + std::map> m_model_weights; + std::map m_model_outputs; + std::vector m_model_output_names; + std::vector m_node_info_list; + + ModelParams m_model_params; + ComputeParams m_compute_params; +}; + +void print_tensor_address_map(const ggml_cgraph * cgraph); + +int extract_layer_from_name(const std::string & name); diff --git a/ggml/src/ggml-openvino/ggml-openvino-extra.cpp b/ggml/src/ggml-openvino/ggml-openvino-extra.cpp new file mode 100644 index 0000000000..cc3cb4583c --- /dev/null +++ b/ggml/src/ggml-openvino/ggml-openvino-extra.cpp @@ -0,0 +1,373 @@ +#include "ggml-openvino-extra.h" + +#include "ggml-impl.h" +#include "ggml.h" + +#include +#include +#include +#include + +ov::Core & ov_singleton_core() { + static ov::Core core; + return core; +} + +// ===================================================== +// Device Configuration Implementations +// ===================================================== + +void ggml_openvino_device_config::init() { + if (initialized) { + return; + } + device_name = getenv("GGML_OPENVINO_DEVICE") ? getenv("GGML_OPENVINO_DEVICE") : "CPU"; + auto available_devices = ov_singleton_core().get_available_devices(); + if (std::find(available_devices.begin(), available_devices.end(), device_name) == available_devices.end()) { + GGML_LOG_WARN("GGML OpenVINO Backend: device %s is not available, fallback to CPU\n", device_name.c_str()); + device_name = "CPU"; + } + is_npu = (device_name == "NPU"); + + auto * cache_dir = getenv("GGML_OPENVINO_CACHE_DIR"); + if (device_name == "NPU") { + compile_config = { + {"NPU_COMPILER_DYNAMIC_QUANTIZATION", "YES" }, + {"NPU_USE_NPUW", "YES" }, + {"NPUW_DEVICES", "NPU" }, + {"NPUW_FOLD", "YES" }, + {"NPUW_WEIGHTS_BANK", "shared"}, + {"NPUW_FUNCALL_FOR_ALL", "YES" }, + {"NPUW_FUNCALL_ASYNC", "YES" }, + {"NPUW_DQ", "YES" }, + {"NPUW_DQ_FULL", "NO" }, + }; + if (cache_dir) { + compile_config["NPUW_CACHE_DIR"] = cache_dir; + } + } else if (cache_dir) { + ov_singleton_core().set_property(ov::cache_dir(cache_dir)); + } + + // Initialize remote context with queue sharing for GPU + if (device_name == "GPU") { + // Create OpenCL context and queue + cl_int err; + cl_platform_id platform; + err = clGetPlatformIDs(1, &platform, nullptr); + if (err != CL_SUCCESS) { + GGML_LOG_ERROR("Failed to get OpenCL platform: %d\n", err); + return; + } + + cl_device_id cl_device; + err = clGetDeviceIDs(platform, CL_DEVICE_TYPE_GPU, 1, &cl_device, nullptr); + if (err != CL_SUCCESS) { + GGML_LOG_ERROR("Failed to get OpenCL device: %d\n", err); + return; + } + + cl_context cl_ctx = clCreateContext(nullptr, 1, &cl_device, nullptr, nullptr, &err); + if (err != CL_SUCCESS) { + GGML_LOG_ERROR("Failed to create OpenCL context: %d\n", err); + return; + } + + cl_queue = clCreateCommandQueueWithProperties(cl_ctx, cl_device, nullptr, &err); + if (err != CL_SUCCESS) { + GGML_LOG_ERROR("Failed to create OpenCL command queue: %d\n", err); + clReleaseContext(cl_ctx); + return; + } + + // Create OpenVINO remote context with queue sharing + remote_context = ov::intel_gpu::ocl::ClContext(ov_singleton_core(), cl_queue); + + // Release the context (queue keeps a reference) + clReleaseContext(cl_ctx); + } else if (device_name == "NPU") { + // remote tensor is not used for NPU yet + // remote_context = ov_singleton_core().get_default_context(device_name); + } + + initialized = true; +} + +ggml_openvino_device_config::~ggml_openvino_device_config() { + if (cl_queue != nullptr) { + clReleaseCommandQueue(cl_queue); + cl_queue = nullptr; + } +} + +// Get the global device config singleton +ggml_openvino_device_config & ggml_openvino_get_device_config() { + static ggml_openvino_device_config config; + return config; +} + +// Initialize device config (call during backend init) +void ggml_openvino_init_device_config() { + ggml_openvino_get_device_config().init(); +} + +// Get the device name +const std::string & ggml_openvino_get_device_name() { + return ggml_openvino_get_device_config().device_name; +} + +// Check if running on NPU +bool ggml_openvino_is_npu() { + return ggml_openvino_get_device_config().is_npu; +} + +// Get the remote context for the current device (returns empty optional for CPU) +std::optional ggml_openvino_get_remote_context() { + return ggml_openvino_get_device_config().remote_context; +} + +// Get the compile config for the current device +const ov::AnyMap & ggml_openvino_get_compile_config() { + return ggml_openvino_get_device_config().compile_config; +} + +// Get the OpenCL command queue for GPU operations +cl_command_queue ggml_openvino_get_cl_queue() { + return ggml_openvino_get_device_config().cl_queue; +} + +// Get the clEnqueueMemFillINTEL function pointer (lazy load) +clEnqueueMemFillINTEL_fn ggml_openvino_get_clEnqueueMemFillINTEL() { + static clEnqueueMemFillINTEL_fn fn = nullptr; + static bool loaded = false; + if (!loaded) { + loaded = true; + cl_platform_id platform; + if (clGetPlatformIDs(1, &platform, nullptr) == CL_SUCCESS) { + fn = (clEnqueueMemFillINTEL_fn) clGetExtensionFunctionAddressForPlatform(platform, "clEnqueueMemFillINTEL"); + } + } + return fn; +} + +// Get the clEnqueueMemcpyINTEL function pointer (lazy load) +clEnqueueMemcpyINTEL_fn ggml_openvino_get_clEnqueueMemcpyINTEL() { + static clEnqueueMemcpyINTEL_fn fn = nullptr; + static bool loaded = false; + if (!loaded) { + loaded = true; + cl_platform_id platform; + if (clGetPlatformIDs(1, &platform, nullptr) == CL_SUCCESS) { + fn = (clEnqueueMemcpyINTEL_fn) clGetExtensionFunctionAddressForPlatform(platform, "clEnqueueMemcpyINTEL"); + } + } + return fn; +} + +// Get requantization type for a tensor type (returns nullopt if no requant needed) +std::optional ggml_openvino_get_requant_type(const ggml_tensor * tensor, bool no_requant) { + if (no_requant) { + return std::nullopt; + } + if (strncmp(tensor->name, "token_embd.weight", 17) == 0) { + return ((ggml_openvino_is_npu() && tensor->type == GGML_TYPE_Q6_K) ? ExtraQuantType::F16 : ExtraQuantType::Q8_0_C); + } + if (strncmp(tensor->name, "output.weight", 13) == 0) { + return ExtraQuantType::Q8_0_C; + } + if (ggml_openvino_is_npu()) { + return ExtraQuantType::Q4_0_128; + } + switch (tensor->type) { + case GGML_TYPE_Q6_K: + case GGML_TYPE_Q5_K: + return ExtraQuantType::Q8_0_C; + default: + return std::nullopt; + } +} + +// ===================================================== +// Extracted Layout Calculation +// ===================================================== + +ggml_openvino_extracted_layout ggml_openvino_get_extracted_layout(const ggml_tensor * tensor, bool use_bias) { + ggml_openvino_extracted_layout layout = {}; + layout.is_symmetric = false; + + if (!ggml_is_quantized(tensor->type)) { + return layout; + } + + // Only handle 2D weight tensors + if (tensor->ne[2] != 1 || tensor->ne[3] != 1) { + return layout; + } + + int64_t n_elements = ggml_nelements(tensor); + const size_t alignment = 64; // Good for SIMD + + // Check if requantization is needed (NPU-specific) + auto requant_type = ggml_openvino_get_requant_type(tensor, use_bias); + if (requant_type.has_value()) { + layout.is_requant = true; + layout.requant_type = requant_type; + + // Special case: requant to F16 - just store F16 weights, no scales/zp + if (requant_type.value() == ExtraQuantType::F16) { + layout.weights_size = n_elements * sizeof(uint16_t); // F16 = 2 bytes + layout.total_size = layout.weights_size; + layout.weights_offset = 0; + // No scales/zp for F16 + return layout; + } + + // Requant to different quantized format (e.g., Q4_0_128) + switch (requant_type.value()) { + case ExtraQuantType::Q4_0_128: + layout.is_u4 = true; + layout.weights_per_block = 128; + layout.is_symmetric = true; + break; + case ExtraQuantType::Q4_0_C: + layout.is_u4 = true; + layout.weights_per_block = tensor->ne[0]; + layout.is_symmetric = true; + break; + case ExtraQuantType::Q8_0_32: + layout.is_u4 = false; + layout.weights_per_block = 32; + layout.is_symmetric = true; + break; + case ExtraQuantType::Q8_0_C: + layout.is_u4 = false; + layout.weights_per_block = tensor->ne[0]; + layout.is_symmetric = true; + break; + case ExtraQuantType::Q8_1_C: + layout.is_u4 = false; + layout.weights_per_block = tensor->ne[0]; + break; + default: + layout.weights_per_block = -1; + GGML_ABORT("Code of re-quantizing to channel-wise is not updated"); + break; + } + + if (layout.is_requant) { + // Calculate sizes for requantized format + layout.weights_size = layout.is_u4 ? (n_elements / 2) : n_elements; + int64_t n_blocks = n_elements / layout.weights_per_block; + layout.scales_size = n_blocks * sizeof(uint16_t); + // For symmetric quantization, we only need one zp value (not one per block) + // Zero points are stored in U4 or U8 format matching the weight type + size_t n_zp_elements = layout.is_symmetric ? 1 : n_blocks; + layout.zp_size = layout.is_u4 ? ((n_zp_elements + 1) / 2) : n_zp_elements; + + layout.weights_offset = 0; + layout.scales_offset = ((layout.weights_size + alignment - 1) / alignment) * alignment; + layout.zp_offset = layout.scales_offset + ((layout.scales_size + alignment - 1) / alignment) * alignment; + layout.total_size = layout.zp_offset + layout.zp_size; + layout.total_size = std::max(layout.total_size, ggml_nbytes(tensor)); + return layout; + } + } + + // Normal extraction (no requant) - determine format based on tensor type + layout.is_u4 = false; + layout.weights_per_block = 32; + layout.is_symmetric = false; + + switch (tensor->type) { + case GGML_TYPE_Q4_0: + layout.is_u4 = true; + layout.is_symmetric = true; + break; + + case GGML_TYPE_Q4_1: + case GGML_TYPE_Q4_K: + layout.is_u4 = true; + break; + + case GGML_TYPE_Q8_0: + layout.is_symmetric = true; + break; + + case GGML_TYPE_Q6_K: + layout.weights_per_block = 16; + layout.is_symmetric = true; + break; + + case GGML_TYPE_Q5_K: + break; + + default: + // Unsupported quantization type + return layout; + } + + // Calculate sizes + // Weights: U4 = n_elements/2 bytes, U8 = n_elements bytes + layout.weights_size = layout.is_u4 ? (n_elements / 2) : n_elements; + + // Scales: F16 per block + int64_t n_blocks = n_elements / layout.weights_per_block; + layout.scales_size = n_blocks * sizeof(uint16_t); // F16 = 2 bytes + // Zero points: U4 or U8 matching weight type + // For symmetric quantization, we only need one zp value (not one per block) + size_t n_zp_elements = layout.is_symmetric ? 1 : n_blocks; + layout.zp_size = layout.is_u4 ? ((n_zp_elements + 1) / 2) : n_zp_elements; + + // Layout in buffer: [weights | scales | zp] with alignment + layout.weights_offset = 0; + layout.scales_offset = ((layout.weights_size + alignment - 1) / alignment) * alignment; + layout.zp_offset = layout.scales_offset + ((layout.scales_size + alignment - 1) / alignment) * alignment; + layout.total_size = layout.zp_offset + layout.zp_size; + layout.total_size = std::max(layout.total_size, ggml_nbytes(tensor)); + + return layout; +} + +ggml_openvino_tensor_extra * ggml_openvino_create_tensor_extra(const ggml_tensor * tensor, bool is_remote) { + ov::Shape shape; + for (int i = GGML_MAX_DIMS - 1; i >= 0; --i) { + shape.push_back(static_cast(tensor->ne[i])); + } + + ov::element::Type element_type; + switch (tensor->type) { + case GGML_TYPE_F32: + element_type = ov::element::f32; + break; + case GGML_TYPE_F16: + element_type = ov::element::f16; + break; + case GGML_TYPE_BF16: + element_type = ov::element::bf16; + break; + case GGML_TYPE_I32: + element_type = ov::element::i32; + break; + case GGML_TYPE_I64: + element_type = ov::element::i64; + break; + default: + // GGML_LOG_WARN("%s: unsupported tensor type for ov::Tensor: %s\n", __func__, ggml_type_name(tensor->type)); + return nullptr; + } + + const auto & device_name = ggml_openvino_get_device_name(); + auto remote_context = ggml_openvino_get_remote_context(); + + std::shared_ptr ov_tensor; + if (is_remote) { + GGML_ASSERT(device_name == "GPU"); + auto gpu_context = remote_context->as(); + auto usm_tensor = gpu_context.create_tensor(element_type, shape, tensor->data); + ov_tensor = std::make_shared(std::move(usm_tensor)); + } else { + ov_tensor = std::make_shared(element_type, shape, tensor->data); + } + + return new ggml_openvino_tensor_extra(ov_tensor); +} diff --git a/ggml/src/ggml-openvino/ggml-openvino-extra.h b/ggml/src/ggml-openvino/ggml-openvino-extra.h new file mode 100644 index 0000000000..cd0baf4a68 --- /dev/null +++ b/ggml/src/ggml-openvino/ggml-openvino-extra.h @@ -0,0 +1,182 @@ +#pragma once + +#include "ggml.h" +#include "openvino/runtime/core.hpp" + +#define CL_TARGET_OPENCL_VERSION 300 +#include + +#include +#include +#include +#include +#include +#include +#include + +// ExtraQuantType enum - defines requantization target formats +enum class ExtraQuantType { F16, Q4_0_C, Q8_1_C, Q4_0_128, Q8_0_C, Q8_0_32 }; + +ov::Core & ov_singleton_core(); + +// Get the remote context for the current device (returns empty optional for CPU) +std::optional ggml_openvino_get_remote_context(); + +// Get the compile config for the current device +const ov::AnyMap & ggml_openvino_get_compile_config(); + +// Get the OpenCL command queue for GPU operations (returns nullptr for CPU/NPU) +cl_command_queue ggml_openvino_get_cl_queue(); + +// Intel USM extension function type +typedef cl_int(CL_API_CALL * clEnqueueMemFillINTEL_fn)(cl_command_queue queue, + void * dst_ptr, + const void * pattern, + size_t pattern_size, + size_t size, + cl_uint num_events_in_wait_list, + const cl_event * event_wait_list, + cl_event * event); + +typedef cl_int(CL_API_CALL * clEnqueueMemcpyINTEL_fn)(cl_command_queue queue, + cl_bool blocking, + void * dst_ptr, + const void * src_ptr, + size_t size, + cl_uint num_events_in_wait_list, + const cl_event * event_wait_list, + cl_event * event); + +// Get the clEnqueueMemFillINTEL function pointer (returns nullptr if not available) +clEnqueueMemFillINTEL_fn ggml_openvino_get_clEnqueueMemFillINTEL(); + +// Get the clEnqueueMemcpyINTEL function pointer (returns nullptr if not available) +clEnqueueMemcpyINTEL_fn ggml_openvino_get_clEnqueueMemcpyINTEL(); + +// ===================================================== +// Global Device Configuration (singleton) +// ===================================================== +// Initialized once during backend init from GGML_OPENVINO_DEVICE env var + +struct ggml_openvino_device_config { + std::string device_name = "CPU"; + bool is_npu = false; + bool initialized = false; + std::optional remote_context; + ov::AnyMap compile_config; + cl_command_queue cl_queue = nullptr; + + void init(); + ~ggml_openvino_device_config(); +}; + +// Get the global device config singleton +ggml_openvino_device_config & ggml_openvino_get_device_config(); + +// Initialize device config (call during backend init) +void ggml_openvino_init_device_config(); + +// Get the device name +const std::string & ggml_openvino_get_device_name(); + +// Check if running on NPU +bool ggml_openvino_is_npu(); + +// Get requantization type for a tensor type (returns nullopt if no requant needed) +std::optional ggml_openvino_get_requant_type(const ggml_tensor * tensor, bool no_requant = false); + +// ===================================================== +// OpenVINO Tensor Extra Types +// ===================================================== +// These types are stored in tensor->extra by the OpenVINO backend buffer. +// They allow: +// 1. Pre-built ov::Constant nodes for weights (avoiding memcpy during graph construction) +// 2. ov::Tensor wrappers for KV cache / compute tensors (for direct use with infer_request) + +// Base class for OpenVINO tensor extra data +struct ggml_openvino_extra_base { + enum class Type { WEIGHT, QUANTIZED_WEIGHT, TENSOR }; + Type type; + virtual ~ggml_openvino_extra_base() = default; +protected: + explicit ggml_openvino_extra_base(Type t) : type(t) {} +}; + +// Extra data for F16/F32/BF16 weight tensors - stores the pre-built weight node +struct ggml_openvino_weight_extra : public ggml_openvino_extra_base { + ov::Tensor weights; // The underlying weight data tensor + std::shared_ptr weight_node; // Pre-built OpenVINO weight node + + ggml_openvino_weight_extra(ov::Tensor w, std::shared_ptr n) : + ggml_openvino_extra_base(Type::WEIGHT), + weights(std::move(w)), + weight_node(std::move(n)) {} +}; + +// Extra data for quantized weight tensors - stores extracted weights/scales/zp and weight node +struct ggml_openvino_quantized_weight_extra : public ggml_openvino_extra_base { + ov::Tensor weights; // U4 or U8 extracted weights + ov::Tensor scales; // F16 scales + ov::Tensor zp; // U4 or U8 zero points (same type as weights) + std::shared_ptr weight_node; // Pre-built OpenVINO weight subgraph + + ggml_openvino_quantized_weight_extra(ov::Tensor w, ov::Tensor s, ov::Tensor z, std::shared_ptr n) : + ggml_openvino_extra_base(Type::QUANTIZED_WEIGHT), + weights(std::move(w)), + scales(std::move(s)), + zp(std::move(z)), + weight_node(std::move(n)) {} +}; + +// Extra data for KV cache / compute tensors - stores ov::Tensor for infer_request +struct ggml_openvino_tensor_extra : public ggml_openvino_extra_base { + std::shared_ptr tensor; // For direct use with infer_request + + explicit ggml_openvino_tensor_extra(std::shared_ptr t) + : ggml_openvino_extra_base(Type::TENSOR), tensor(std::move(t)) {} +}; + +// ===================================================== +// Extracted Size Calculation for Quantized Tensors +// ===================================================== +// For quantized tensors, we need extra space to store extracted weights, scales, and zero points. +// Returns the total size needed in the buffer for extracted data. + +struct ggml_openvino_extracted_layout { + size_t total_size = 0; // Total bytes needed + size_t weights_offset = 0; // Offset to weights in buffer + size_t weights_size = 0; // Size of weights in bytes + size_t scales_offset = 0; // Offset to scales in buffer + size_t scales_size = 0; // Size of scales in bytes + size_t zp_offset = 0; // Offset to zero points in buffer + size_t zp_size = 0; // Size of zero points in bytes (U4 or U8) + bool is_u4; // true for U4 weights, false for U8 + int64_t weights_per_block; // weights per scale/zp block + bool is_symmetric; // true for symmetric quantization + + // Requantization info + bool is_requant = false; // true if this tensor needs requantization + std::optional requant_type; // target requant type if is_requant +}; + +// Calculate the buffer layout for extracted quantized data +ggml_openvino_extracted_layout ggml_openvino_get_extracted_layout(const ggml_tensor * tensor, bool use_bias = false); + +ggml_openvino_tensor_extra * ggml_openvino_create_tensor_extra(const ggml_tensor * tensor, bool is_remote); + +// Register an extra with the tensor's OpenVINO buffer context for proper lifetime management. +// This sets tensor->extra and tracks the extra in the buffer context for cleanup. +void ggml_openvino_buffer_register_extra(ggml_tensor * tensor, ggml_openvino_extra_base * extra); + +// ===================================================== +// OpenVINO Backend Context and Interface +// ===================================================== +struct ggml_backend_openvino_context { + int device = 0; + std::string name = "OpenVINO"; + std::string description = "OpenVINO Backend Context"; + + std::shared_ptr runtime_context = nullptr; + + ggml_backend_openvino_context() = default; +}; diff --git a/ggml/src/ggml-openvino/ggml-openvino.cpp b/ggml/src/ggml-openvino/ggml-openvino.cpp new file mode 100644 index 0000000000..0031cb7369 --- /dev/null +++ b/ggml/src/ggml-openvino/ggml-openvino.cpp @@ -0,0 +1,1110 @@ +#include "ggml-openvino.h" + +#include "ggml-backend-impl.h" +#include "ggml-backend.h" +#include "ggml-impl.h" +#include "ggml-openvino-extra.h" +#include "ggml-openvino/utils.h" +#include "ggml-quants.h" +#include "ggml.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#if defined(_WIN32) +# define WIN32_LEAN_AND_MEAN +# ifndef NOMINMAX +# define NOMINMAX +# endif +# include +#else +# include +#endif + +// ===================================================== +// OpenVINO Buffer Implementation using ov::Tensor +// ===================================================== +// +// Design: This implementation uses a hybrid approach: +// 1. For weight tensors: Store a pre-built ov::op::v0::Constant in tensor->extra +// - This avoids the memcpy during graph construction +// - For quantized weights, the constant is already converted to OpenVINO format +// 2. For KV cache / compute tensors: Store an ov::Tensor in tensor->extra +// - This can be directly passed to infer_request +// - Future: can be changed to ov::RemoteTensor for GPU/NPU +// +// This design is similar to: +// - CUDA split buffer: tensor->extra stores device pointers +// - CPU repack buffer: tensor->extra stores tensor_traits with repacked data +// ===================================================== + +// Buffer context that manages per-tensor allocations (no contiguous buffer for weights) +struct ggml_backend_openvino_buffer_context { + int device; + std::string name; + size_t id; + + // For non-weight buffers (KV cache, compute), we still use contiguous allocation + void * data; + size_t size; + bool is_remote; + + // Wrapping of the buffer + std::shared_ptr ov_buffer; + + // Track all extras for cleanup + std::map tensor_extras; + + // Used for re-allocation on device for kvcache + void * data_prev; + + ggml_backend_openvino_buffer_context(int device, size_t size, bool is_remote = false) : + device(device), + name(std::string(GGML_OPENVINO_NAME) + std::to_string(device)), + id([]() { + static std::atomic next_id{1}; + return next_id.fetch_add(1); + }()), + data(nullptr), + size(size), + is_remote(is_remote) { + if (size == 0) { + return; + } + + const auto & device_name = ggml_openvino_get_device_name(); + + if (is_remote) { + GGML_ASSERT(device_name == "GPU"); + auto remote_context = ggml_openvino_get_remote_context(); + auto gpu_context = remote_context->as(); + ov::intel_gpu::ocl::USMTensor usm_tensor = + gpu_context.create_usm_device_tensor(ov::element::u8, ov::Shape{size}); + data = usm_tensor.get(); + ov_buffer = std::make_shared(std::move(usm_tensor)); + } else { + data = ggml_aligned_malloc(size); + ov_buffer = std::make_shared(ov::element::u8, ov::Shape{size}, data); + } + + if (data == nullptr) { + GGML_LOG_ERROR("%s: failed to allocate %zu bytes\n", __func__, size); + return; + } + + if (reinterpret_cast(data) % TENSOR_ALIGNMENT != 0) { + GGML_LOG_ERROR("%s: %s buffer is not aligned to %d bytes\n", __func__, device_name.c_str(), + TENSOR_ALIGNMENT); + GGML_ABORT("fatal error"); + } + } + + ~ggml_backend_openvino_buffer_context() { + // Clean up all tensor extras + // GGML_LOG_DEBUG("Deleting OpenVINO buffer context #%zu for device %d, size %zu MB\n", id, device, + // size / 1024 / 1024); + for (auto & pair : tensor_extras) { + delete pair.second; + } + tensor_extras.clear(); + if (!is_remote && data != nullptr) { + ggml_aligned_free(data, size); + } + } +}; + +// Buffer type context (per-device) +struct ggml_backend_openvino_buffer_type_context { + int device; + std::string name; +}; + +// Buffer interface functions +static void ggml_backend_openvino_buffer_free_buffer(ggml_backend_buffer_t buffer) { + ggml_backend_openvino_buffer_context * ctx = (ggml_backend_openvino_buffer_context *) buffer->context; + delete ctx; +} + +static void * ggml_backend_openvino_buffer_get_base(ggml_backend_buffer_t buffer) { + ggml_backend_openvino_buffer_context * ctx = (ggml_backend_openvino_buffer_context *) buffer->context; + return ctx->data; +} + +static enum ggml_status ggml_backend_openvino_buffer_init_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor) { + // GGML_LOG_DEBUG("%s: buffer usage=%d, tensor name=%s\n", __func__, buffer->usage, tensor->name); + ggml_backend_openvino_buffer_context * ctx = (ggml_backend_openvino_buffer_context *) buffer->context; + + // Put kvcache on device memory for GPU (NPU memory is too small even for kvcache) + if (strncmp(tensor->name, "cache_", 6) == 0 && !ctx->is_remote && ggml_openvino_get_device_name() == "GPU" && + !getenv("GGML_OPENVINO_STATEFUL_EXECUTION")) { + GGML_ASSERT(ctx->tensor_extras.empty()); + auto device = ctx->device; + auto size = ctx->size; + auto * data_prev = ctx->data; + delete ctx; + ctx = new ggml_backend_openvino_buffer_context(device, size, true); + buffer->context = ctx; + tensor->data = (char *) ctx->data + ((char *) tensor->data - (char *) data_prev); + } + + // Views share the extra from view_src + if (tensor->view_src != nullptr) { + GGML_ASSERT(tensor->view_src->buffer->buft == buffer->buft); + if (tensor->view_src->extra != nullptr) { + tensor->extra = tensor->view_src->extra; + } + return GGML_STATUS_SUCCESS; + } + + ctx = (ggml_backend_openvino_buffer_context *) buffer->context; + + if (tensor->data != nullptr && !ggml_is_quantized(tensor->type)) { + ggml_openvino_tensor_extra * extra = ggml_openvino_create_tensor_extra(tensor, ctx->is_remote); + if (extra != nullptr) { + auto it = ctx->tensor_extras.find(tensor); + if (it != ctx->tensor_extras.end()) { + delete it->second; + } + ctx->tensor_extras[tensor] = extra; + tensor->extra = extra; + } + } + + return GGML_STATUS_SUCCESS; +} + +static void ggml_backend_openvino_buffer_memset_tensor(ggml_backend_buffer_t buffer, + ggml_tensor * tensor, + uint8_t value, + size_t offset, + size_t size) { + // GGML_LOG_DEBUG("%s: buffer usage=%d, tensor name=%s\n", __func__, buffer->usage, tensor->name); + GGML_ASSERT(tensor != nullptr && tensor->data != nullptr); + ggml_backend_openvino_buffer_context * ctx = (ggml_backend_openvino_buffer_context *) buffer->context; + + if (ctx->is_remote) { + // For remote (device) buffers, use OpenCL USM memfill + cl_command_queue queue = ggml_openvino_get_cl_queue(); + auto mem_fill_fn = ggml_openvino_get_clEnqueueMemFillINTEL(); + if (queue != nullptr && mem_fill_fn != nullptr) { + uint8_t pattern = value; + cl_int err = mem_fill_fn(queue, (char *) tensor->data + offset, &pattern, sizeof(pattern), size, 0, nullptr, + nullptr); + if (err != CL_SUCCESS) { + GGML_LOG_ERROR("%s: clEnqueueMemFillINTEL failed with error %d\n", __func__, err); + } + clFinish(queue); + } else { + GGML_LOG_ERROR("%s: no OpenCL queue or clEnqueueMemFillINTEL not available for GPU buffer\n", __func__); + } + } else { + memset((char *) tensor->data + offset, value, size); + } +} + +static void ggml_backend_openvino_buffer_set_tensor(ggml_backend_buffer_t buffer, + ggml_tensor * tensor, + const void * data, + size_t offset, + size_t size) { + // GGML_LOG_DEBUG("%s: buffer usage=%d, tensor name=%s\n", __func__, buffer->usage, tensor->name); + GGML_ASSERT(tensor != nullptr && tensor->data != nullptr); + ggml_backend_openvino_buffer_context * ctx = (ggml_backend_openvino_buffer_context *) buffer->context; + + // Check if this is a weight buffer (usage is set BEFORE set_tensor is called, except in test-backend-ops) + bool is_weight_buffer = (buffer->usage == GGML_BACKEND_BUFFER_USAGE_WEIGHTS); + // Full tensor set: offset=0, full size, not a view + bool is_full_tensor_set = (offset == 0 && size == ggml_nbytes(tensor) && tensor->view_src == nullptr); + // 2D tensor (typical weight shape) + bool is_2d = (tensor->ne[2] == 1 && tensor->ne[3] == 1); + + if (is_weight_buffer && is_full_tensor_set && is_2d) { + try { + auto result = process_weight_tensor(tensor, data, tensor->data); + result.weight_node->set_friendly_name(tensor->name); + + // const auto & layout = result.layout; + ggml_openvino_extra_base * extra; + + // Quantized path with extracted weight/scale/zp tensors + if (result.is_quantized()) { + extra = new ggml_openvino_quantized_weight_extra(std::move(result.weights), std::move(result.scales), + std::move(result.zp), result.weight_node); + + // if (layout.is_requant) { + // GGML_LOG_DEBUG("%s: requantized %s to %s (u%d, block_size=%ld)\n", __func__, tensor->name, + // extra_quant_type_name(layout.requant_type.value()), layout.is_u4 ? 4 : 8, + // layout.weights_per_block); + // } else { + // int64_t n_blocks = ggml_nelements(tensor) / layout.weights_per_block; + // GGML_LOG_DEBUG("%s: extracted quantized weight node for %s (u%d, %zu weights, %ld blocks)\n", + // __func__, tensor->name, layout.is_u4 ? 4 : 8, layout.weights_size, n_blocks); + // } + } else { + // F16/F32/BF16 weight or F16-requant + extra = new ggml_openvino_weight_extra(std::move(result.weights), result.weight_node); + + // if (layout.total_size > 0) { + // GGML_LOG_DEBUG("%s: requantized %s to F16\n", __func__, tensor->name); + // } else { + // GGML_LOG_DEBUG("%s: created shared-memory weight node for %s\n", __func__, tensor->name); + // } + } + + ctx->tensor_extras[tensor] = extra; + tensor->extra = extra; + + } catch (const std::exception & e) { + GGML_LOG_ERROR("%s: failed to process weight tensor for %s: %s\n", __func__, tensor->name, e.what()); + memcpy((char *) tensor->data + offset, data, size); + } + } else { + // Non-weight tensor (KV cache, activations, etc.) - copy data. test-backend-ops also goes here + if (ctx->is_remote) { + cl_command_queue queue = ggml_openvino_get_cl_queue(); + auto mem_cpy_fn = ggml_openvino_get_clEnqueueMemcpyINTEL(); + if (queue != nullptr && mem_cpy_fn != nullptr) { + cl_int err = + mem_cpy_fn(queue, CL_TRUE, (char *) tensor->data + offset, data, size, 0, nullptr, nullptr); + if (err != CL_SUCCESS) { + GGML_LOG_ERROR("%s: clEnqueueMemcpyINTEL failed with error %d\n", __func__, err); + } + } else { + GGML_LOG_ERROR("%s: no OpenCL queue or clEnqueueMemcpyINTEL not available for GPU buffer\n", __func__); + } + } else { + memcpy((char *) tensor->data + offset, data, size); + } + + ggml_openvino_tensor_extra * extra = ggml_openvino_create_tensor_extra(tensor, ctx->is_remote); + if (extra == nullptr) { + // GGML_LOG_ERROR("%s: failed to create tensor extra for %s\n", __func__, tensor->name); + return; + } + + auto it = ctx->tensor_extras.find(tensor); + if (it != ctx->tensor_extras.end()) { + delete it->second; + } + ctx->tensor_extras[tensor] = extra; + tensor->extra = extra; + } +} + +static void ggml_backend_openvino_buffer_get_tensor(ggml_backend_buffer_t buffer, + const ggml_tensor * tensor, + void * data, + size_t offset, + size_t size) { + // GGML_LOG_DEBUG("%s: buffer usage=%d, tensor name=%s\n", __func__, buffer->usage, tensor->name); + GGML_ASSERT(tensor != nullptr && tensor->data != nullptr); + ggml_backend_openvino_buffer_context * ctx = (ggml_backend_openvino_buffer_context *) buffer->context; + + if (ctx->is_remote) { + // For remote (device) buffers, use OpenCL USM memcpy (device-to-host) + cl_command_queue queue = ggml_openvino_get_cl_queue(); + auto mem_cpy_fn = ggml_openvino_get_clEnqueueMemcpyINTEL(); + if (queue != nullptr && mem_cpy_fn != nullptr) { + cl_int err = + mem_cpy_fn(queue, CL_TRUE, data, (const char *) tensor->data + offset, size, 0, nullptr, nullptr); + if (err != CL_SUCCESS) { + GGML_LOG_ERROR("%s: clEnqueueMemcpyINTEL failed with error %d\n", __func__, err); + } + } else { + GGML_LOG_ERROR("%s: no OpenCL queue or clEnqueueMemcpyINTEL not available for GPU buffer\n", __func__); + } + } else { + memcpy(data, (const char *) tensor->data + offset, size); + } +} + +static bool ggml_backend_openvino_buffer_cpy_tensor(ggml_backend_buffer_t buffer, + const ggml_tensor * src, + ggml_tensor * dst) { + // GGML_LOG_DEBUG("%s: src tensor name=%s, dst tensor name=%s\n", __func__, src->name, dst->name); + GGML_ASSERT(src != nullptr && dst != nullptr); + ggml_backend_openvino_buffer_context * ctx = (ggml_backend_openvino_buffer_context *) buffer->context; + + if (ctx->is_remote) { + // For remote (device) buffers, use OpenCL USM memcpy + cl_command_queue queue = ggml_openvino_get_cl_queue(); + auto mem_cpy_fn = ggml_openvino_get_clEnqueueMemcpyINTEL(); + if (queue == nullptr || mem_cpy_fn == nullptr) { + GGML_LOG_ERROR("%s: no OpenCL queue or clEnqueueMemcpyINTEL not available for GPU buffer\n", __func__); + return false; + } + // Can copy from host to device + if (ggml_backend_buffer_is_host(src->buffer)) { + cl_int err = mem_cpy_fn(queue, CL_TRUE, dst->data, src->data, ggml_nbytes(src), 0, nullptr, nullptr); + if (err != CL_SUCCESS) { + GGML_LOG_ERROR("%s: clEnqueueMemcpyINTEL (host-to-device) failed with error %d\n", __func__, err); + return false; + } + return true; + } + // Can also copy from device to device if both are OpenVINO remote buffers + if (ggml_backend_buffer_is_openvino(src->buffer)) { + ggml_backend_openvino_buffer_context * src_ctx = + (ggml_backend_openvino_buffer_context *) src->buffer->context; + if (src_ctx->is_remote) { + cl_int err = + mem_cpy_fn(queue, CL_TRUE, dst->data, src->data, ggml_nbytes(src), 0, nullptr, nullptr); + if (err != CL_SUCCESS) { + GGML_LOG_ERROR("%s: clEnqueueMemcpyINTEL (device-to-device) failed with error %d\n", __func__, + err); + return false; + } + return true; + } + } + return false; + } + + // Host buffer - can copy from any host buffer + if (ggml_backend_buffer_is_host(src->buffer)) { + memcpy(dst->data, src->data, ggml_nbytes(src)); + return true; + } + return false; +} + +static void ggml_backend_openvino_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) { + ggml_backend_openvino_buffer_context * ctx = (ggml_backend_openvino_buffer_context *) buffer->context; + GGML_ASSERT(ctx->data != nullptr); + if (ctx->is_remote) { + cl_command_queue queue = ggml_openvino_get_cl_queue(); + auto mem_fill_fn = ggml_openvino_get_clEnqueueMemFillINTEL(); + if (queue != nullptr && mem_fill_fn != nullptr) { + uint8_t pattern = value; + cl_int err = mem_fill_fn(queue, ctx->data, &pattern, sizeof(pattern), ctx->size, 0, nullptr, nullptr); + if (err != CL_SUCCESS) { + GGML_LOG_WARN("%s: clEnqueueMemFillINTEL failed with error %d\n", __func__, err); + } + clFinish(queue); + } else { + GGML_LOG_WARN("%s: no OpenCL queue or clEnqueueMemFillINTEL not available for GPU buffer clear\n", + __func__); + } + } else { + memset(ctx->data, value, ctx->size); + } +} + +static const ggml_backend_buffer_i ggml_backend_openvino_buffer_interface = { + /* .free_buffer = */ ggml_backend_openvino_buffer_free_buffer, + /* .get_base = */ ggml_backend_openvino_buffer_get_base, + /* .init_tensor = */ ggml_backend_openvino_buffer_init_tensor, + /* .memset_tensor = */ ggml_backend_openvino_buffer_memset_tensor, + /* .set_tensor = */ ggml_backend_openvino_buffer_set_tensor, + /* .get_tensor = */ ggml_backend_openvino_buffer_get_tensor, + /* .cpy_tensor = */ ggml_backend_openvino_buffer_cpy_tensor, + /* .clear = */ ggml_backend_openvino_buffer_clear, + /* .reset = */ NULL, +}; + +// Buffer type interface functions +static const char * ggml_backend_openvino_buffer_type_get_name(ggml_backend_buffer_type_t buft) { + ggml_backend_openvino_buffer_type_context * ctx = (ggml_backend_openvino_buffer_type_context *) buft->context; + return ctx->name.c_str(); +} + +static ggml_backend_buffer_t ggml_backend_openvino_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, + size_t size) { + ggml_backend_openvino_buffer_type_context * buft_ctx = (ggml_backend_openvino_buffer_type_context *) buft->context; + + // Create buffer context with contiguous memory allocation + ggml_backend_openvino_buffer_context * ctx = new ggml_backend_openvino_buffer_context(buft_ctx->device, size); + + if (ctx->data == nullptr && size > 0) { + GGML_LOG_ERROR("%s: failed to allocate buffer of size %zu\n", __func__, size); + delete ctx; + return nullptr; + } + + return ggml_backend_buffer_init(buft, ggml_backend_openvino_buffer_interface, ctx, size); +} + +static size_t ggml_backend_openvino_buffer_type_get_alignment(ggml_backend_buffer_type_t buft) { + GGML_UNUSED(buft); + return TENSOR_ALIGNMENT; +} + +static size_t ggml_backend_openvino_buffer_type_get_max_size(ggml_backend_buffer_type_t buft) { + GGML_UNUSED(buft); + return SIZE_MAX; +} + +static size_t ggml_backend_openvino_buffer_type_get_alloc_size(ggml_backend_buffer_type_t buft, + const ggml_tensor * tensor) { + GGML_UNUSED(buft); + + // For quantized 2D tensors (weights), we need extra space for extracted data + if (ggml_is_quantized(tensor->type) && tensor->ne[2] == 1 && tensor->ne[3] == 1) { + ggml_openvino_extracted_layout layout = ggml_openvino_get_extracted_layout(tensor); + if (layout.total_size > 0) { + // GGML_LOG_DEBUG("%s: tensor %s needs %zu bytes (original %zu, extracted: weights=%zu scales=%zu zp=%zu)\n", + // __func__, tensor->name, layout.total_size, ggml_nbytes(tensor), layout.weights_size, + // layout.scales_size, layout.zp_size); + return layout.total_size; + } + } + + return ggml_nbytes(tensor); +} + +static const ggml_backend_buffer_type_i ggml_backend_openvino_buffer_type_interface = { + /* .get_name = */ ggml_backend_openvino_buffer_type_get_name, + /* .alloc_buffer = */ ggml_backend_openvino_buffer_type_alloc_buffer, + /* .get_alignment = */ ggml_backend_openvino_buffer_type_get_alignment, + /* .get_max_size = */ ggml_backend_openvino_buffer_type_get_max_size, + /* .get_alloc_size = */ ggml_backend_openvino_buffer_type_get_alloc_size, + /* .is_host = */ nullptr, +}; + +// Get buffer type for a specific device +GGML_BACKEND_API ggml_backend_buffer_type_t ggml_backend_openvino_buffer_type(int device) { + GGML_ASSERT(device >= 0 && device < ggml_backend_openvino_get_device_count()); + + static std::mutex mutex; + std::lock_guard lock(mutex); + + static std::vector buffer_types; + static std::vector buffer_type_contexts; + + if (buffer_types.empty()) { + int device_count = ggml_backend_openvino_get_device_count(); + buffer_types.resize(device_count); + buffer_type_contexts.resize(device_count); + + for (int i = 0; i < device_count; i++) { + buffer_type_contexts[i].device = i; + buffer_type_contexts[i].name = std::string(GGML_OPENVINO_NAME) + std::to_string(i); + + buffer_types[i] = ggml_backend_buffer_type{ + /* .iface = */ ggml_backend_openvino_buffer_type_interface, + /* .device = */ ggml_backend_reg_dev_get(ggml_backend_openvino_reg(), i), + /* .context = */ &buffer_type_contexts[i], + }; + } + } + + return &buffer_types[device]; +} + +// ===================================================== +// OpenVINO Host Buffer Implementation +// ===================================================== + +static const char * ggml_backend_openvino_host_buffer_type_get_name(ggml_backend_buffer_type_t buft) { + ggml_backend_openvino_buffer_type_context * ctx = (ggml_backend_openvino_buffer_type_context *) buft->context; + static std::string name; + name = ctx->name + "_HOST"; + return name.c_str(); +} + +static bool ggml_backend_openvino_host_buffer_type_is_host(ggml_backend_buffer_type_t buft) { + GGML_UNUSED(buft); + return true; +} + +static const ggml_backend_buffer_type_i ggml_backend_openvino_host_buffer_type_interface = { + /* .get_name = */ ggml_backend_openvino_host_buffer_type_get_name, + /* .alloc_buffer = */ ggml_backend_openvino_buffer_type_alloc_buffer, + /* .get_alignment = */ ggml_backend_openvino_buffer_type_get_alignment, + /* .get_max_size = */ ggml_backend_openvino_buffer_type_get_max_size, + /* .get_alloc_size = */ ggml_backend_openvino_buffer_type_get_alloc_size, + /* .is_host = */ ggml_backend_openvino_host_buffer_type_is_host, +}; + +GGML_BACKEND_API ggml_backend_buffer_type_t ggml_backend_openvino_host_buffer_type(int device) { + GGML_ASSERT(device >= 0 && device < ggml_backend_openvino_get_device_count()); + + static std::mutex mutex; + std::lock_guard lock(mutex); + + static std::vector buffer_types; + static std::vector buffer_type_contexts; + + if (buffer_types.empty()) { + int device_count = ggml_backend_openvino_get_device_count(); + buffer_types.resize(device_count); + buffer_type_contexts.resize(device_count); + + for (int i = 0; i < device_count; i++) { + buffer_type_contexts[i].device = i; + buffer_type_contexts[i].name = std::string(GGML_OPENVINO_NAME) + std::to_string(i); + + buffer_types[i] = ggml_backend_buffer_type{ + /* .iface = */ ggml_backend_openvino_host_buffer_type_interface, + /* .device = */ ggml_backend_reg_dev_get(ggml_backend_openvino_reg(), i), + /* .context = */ &buffer_type_contexts[i], + }; + } + } + + return &buffer_types[device]; +} + +bool ggml_backend_buffer_is_openvino(ggml_backend_buffer_t buffer) { + return buffer->iface.free_buffer == ggml_backend_openvino_buffer_free_buffer; +} + +size_t ggml_backend_openvino_buffer_get_ctx_id(ggml_backend_buffer_t buffer) { + if (!ggml_backend_buffer_is_openvino(buffer)) { + return 0; + } + ggml_backend_openvino_buffer_context * ctx = (ggml_backend_openvino_buffer_context *) buffer->context; + return ctx->id; +} + +void ggml_openvino_buffer_register_extra(ggml_tensor * tensor, ggml_openvino_extra_base * extra) { + GGML_ASSERT(tensor != nullptr); + GGML_ASSERT(tensor->buffer != nullptr); + GGML_ASSERT(ggml_backend_buffer_is_openvino(tensor->buffer)); + + auto * ctx = static_cast(tensor->buffer->context); + + auto it = ctx->tensor_extras.find(tensor); + if (it != ctx->tensor_extras.end()) { + delete it->second; + } + + ctx->tensor_extras[tensor] = extra; + tensor->extra = extra; +} + +bool ggml_backend_buft_is_openvino(ggml_backend_buffer_type_t buft) { + return buft->iface.get_name == ggml_backend_openvino_buffer_type_get_name; +} + +bool ggml_backend_buft_is_openvino_host(ggml_backend_buffer_type_t buft) { + return buft->iface.get_name == ggml_backend_openvino_host_buffer_type_get_name; +} + +static void ggml_backend_openvino_free(ggml_backend_t backend) { + ggml_backend_openvino_context * ctx = (ggml_backend_openvino_context *) backend->context; + delete ctx; + delete backend; +} + +static const char * ggml_backend_openvino_get_name(ggml_backend_t backend) { + return GGML_OPENVINO_NAME; + GGML_UNUSED(backend); +} + +static enum ggml_status ggml_backend_openvino_graph_compute(ggml_backend_t backend, ggml_cgraph * cgraph) { + return ov_graph_compute(cgraph, backend); + GGML_UNUSED(backend); +} + +static const ggml_backend_i ggml_backend_openvino_interface = { + /* .get_name = */ ggml_backend_openvino_get_name, + /* .free = */ ggml_backend_openvino_free, + /* .set_tensor_async = */ NULL, + /* .get_tensor_async = */ NULL, + /* .cpy_tensor_async = */ NULL, + /* .synchronize = */ NULL, + /* .graph_plan_create = */ NULL, + /* .graph_plan_free = */ NULL, + /* .graph_plan_update = */ NULL, + /* .graph_plan_compute = */ NULL, + /* .graph_compute = */ ggml_backend_openvino_graph_compute, + /* .event_record = */ NULL, + /* .event_wait = */ NULL, + /* .graph_optimize = */ NULL, +}; + +int ggml_backend_openvino_get_device_count() { + return 1; +} + +static ggml_guid_t ggml_backend_openvino_guid(void) { + static ggml_guid guid = {0x12, 0xa8, 0xae, 0xf4, 0xc0, 0x1e, 0x61, 0x97, + 0x8f, 0xeb, 0x33, 0x04, 0xa1, 0x33, 0x51, 0x2d}; + return &guid; +} + +static std::shared_ptr get_ov_runtime_context_ptr() { + static std::shared_ptr r_ctx = std::make_shared(); + return r_ctx; +} + +// backend API +GGML_BACKEND_API ggml_backend_t ggml_backend_openvino_init(int device) { + if (device < 0 || device >= ggml_backend_openvino_get_device_count()) { + GGML_LOG_ERROR("%s: invalid device %d\n", __func__, device); + return nullptr; + } + + ggml_backend_openvino_context * ctx = new ggml_backend_openvino_context; + if (ctx == nullptr) { + GGML_LOG_ERROR("%s: failed to allocate context\n", __func__); + return nullptr; + } + + ctx->runtime_context = get_ov_runtime_context_ptr(); + if (ctx->runtime_context == nullptr) { + GGML_LOG_ERROR("%s: failed to allocate runtime context\n", __func__); + delete ctx; + return nullptr; + } + + std::shared_ptr r_ctx = std::static_pointer_cast(ctx->runtime_context); + r_ctx->device = ggml_openvino_get_device_name(); + r_ctx->stateful = getenv("GGML_OPENVINO_STATEFUL_EXECUTION") && !ggml_openvino_is_npu(); + + ggml_backend_t openvino_backend = new ggml_backend{ + /* .guid = */ ggml_backend_openvino_guid(), + /* .interface = */ ggml_backend_openvino_interface, + /* .device = */ ggml_backend_reg_dev_get(ggml_backend_openvino_reg(), device), + /* .context = */ ctx, + }; + + return openvino_backend; +} + +GGML_BACKEND_API bool ggml_backend_is_openvino(ggml_backend_t backend) { + return backend != NULL && ggml_guid_matches(backend->guid, ggml_backend_openvino_guid()); +} + +struct ggml_backend_openvino_device_context { + int device; + std::string name; + std::string description; +}; + +static const char * ggml_backend_openvino_device_get_name(ggml_backend_dev_t dev) { + ggml_backend_openvino_device_context * ctx = (ggml_backend_openvino_device_context *) dev->context; + return ctx->name.c_str(); +} + +static const char * ggml_backend_openvino_device_get_description(ggml_backend_dev_t dev) { + ggml_backend_openvino_device_context * ctx = (ggml_backend_openvino_device_context *) dev->context; + return ctx->description.c_str(); +} + +static void ggml_backend_openvino_device_get_memory(ggml_backend_dev_t dev, size_t * free, size_t * total) { +#ifdef _WIN32 + MEMORYSTATUSEX status; + status.dwLength = sizeof(status); + GlobalMemoryStatusEx(&status); + *total = status.ullTotalPhys; + *free = status.ullAvailPhys; +#else + long pages = sysconf(_SC_PHYS_PAGES); + long page_size = sysconf(_SC_PAGE_SIZE); + *total = pages * page_size; + + // "free" system memory is ill-defined, for practical purposes assume that all of it is free: + *free = *total; +#endif // _WIN32 + + GGML_UNUSED(dev); +} + +static enum ggml_backend_dev_type ggml_backend_openvino_device_get_type(ggml_backend_dev_t dev) { + GGML_UNUSED(dev); + return GGML_BACKEND_DEVICE_TYPE_GPU; +} + +static void ggml_backend_openvino_device_get_props(ggml_backend_dev_t dev, ggml_backend_dev_props * props) { + props->name = ggml_backend_openvino_device_get_name(dev); + props->description = ggml_backend_openvino_device_get_description(dev); + props->type = ggml_backend_openvino_device_get_type(dev); + ggml_backend_openvino_device_get_memory(dev, &props->memory_free, &props->memory_total); + + props->caps = { + /* .async = */ false, + /* .host_buffer = */ false, + /* .buffer_from_host_ptr = */ false, + /* .events = */ false, + }; +} + +static ggml_backend_t ggml_backend_openvino_device_init(ggml_backend_dev_t dev, const char * params) { + GGML_UNUSED(params); + ggml_backend_openvino_device_context * ctx = (ggml_backend_openvino_device_context *) dev->context; + return ggml_backend_openvino_init(ctx->device); +} + +static ggml_backend_buffer_type_t ggml_backend_openvino_device_get_buffer_type(ggml_backend_dev_t dev) { + ggml_backend_openvino_device_context * ctx = (ggml_backend_openvino_device_context *) dev->context; + return ggml_backend_openvino_buffer_type(ctx->device); +} + +static ggml_backend_buffer_type_t ggml_backend_openvino_device_get_host_buffer_type(ggml_backend_dev_t dev) { + ggml_backend_openvino_device_context * ctx = (ggml_backend_openvino_device_context *) dev->context; + return ggml_backend_openvino_host_buffer_type(ctx->device); +} + +static bool has_view_op_input(const ggml_tensor * op) { + for (int i = 0; i < GGML_MAX_SRC; i++) { + if (op->src[i] == nullptr) { + break; + } + if (op->src[i]->op == GGML_OP_VIEW) { + return true; + } + } + return false; +} + +static bool is_supported_flash_attn_pattern(const ggml_tensor * op) { + // pattern of q,k,v should be q->op==PERMUTE, q->src[0]->op==VIEW, q->src[0]->src[0]->view_src==nullptr + for (int i = 0; i < 3; i++) { + const ggml_tensor * src = op->src[i]; + if (src->op != GGML_OP_PERMUTE || src->src[0] == nullptr || src->src[0]->op != GGML_OP_VIEW || + src->src[0]->src[0] == nullptr || src->src[0]->src[0]->view_src != nullptr) { + return false; + } + } + return true; +} + +static bool is_op_unsupported_case(const ggml_tensor * op) { + switch (op->op) { + case GGML_OP_GET_ROWS: + case GGML_OP_SET_ROWS: { + if (op->ne[3] != 1) { + return true; + } + break; + } + case GGML_OP_ADD: + case GGML_OP_MUL: { + if (op->src[1]->op == GGML_OP_PERMUTE) { + return true; + } + for (int i = 0; i < 4; i++) { + if (op->src[0]->ne[i] != op->src[1]->ne[i] && (op->src[0]->ne[i] != 1 && op->src[1]->ne[i] != 1)) { + return true; + } + } + break; + } + case GGML_OP_SOFT_MAX: { + if (op->src[2] != nullptr) { + // GGML_LOG_WARN("OpenVINO backend does not support SOFT_MAX with sinks\n"); + return true; + } + float scale = 1.0f; + float max_bias = 0.0f; + const auto * op_params = op->op_params; + memcpy(&scale, (const float *) op_params + 0, sizeof(float)); + memcpy(&max_bias, (const float *) op_params + 1, sizeof(float)); + if (max_bias > 0) { + // GGML_LOG_WARN("OpenVINO backend does not support SOFT_MAX with max_bias > 0\n"); + return true; + } + break; + } + case GGML_OP_FLASH_ATTN_EXT: { + if (op->src[4] != nullptr) { + // GGML_LOG_WARN("OpenVINO backend does not support FLASH_ATTN_EXT with sinks\n"); + return true; + } + if (!is_supported_flash_attn_pattern(op)) { + return true; + } + float scale = 1.0f; + float max_bias = 0.0f; + float logit_softcap = 0.0f; + const auto * op_params = op->op_params; + memcpy(&scale, (const float *) op_params + 0, sizeof(float)); + memcpy(&max_bias, (const float *) op_params + 1, sizeof(float)); + memcpy(&logit_softcap, (const float *) op_params + 2, sizeof(float)); + if (max_bias > 0) { + // GGML_LOG_WARN("OpenVINO backend does not support FLASH_ATTN_EXT with max_bias > 0\n"); + return true; + } + if (logit_softcap != 0) { + // GGML_LOG_WARN("OpenVINO backend does not support FLASH_ATTN_EXT with logit_softcap != 0\n"); + return true; + } + break; + } + case GGML_OP_PERMUTE: { + if (op->type == GGML_TYPE_BF16) { + // err msg: [GPU] Could not find a suitable kernel for transpose + // GGML_LOG_WARN("OpenVINO backend does not support PERMUTE with BF16 type\n"); + return true; + } + break; + } + case GGML_OP_CPY: { + if (op->src[1] != op) { + // GGML_LOG_WARN("OpenVINO backend only supports CPY that is a cast\n"); + return true; + } + break; + } + case GGML_OP_MUL_MAT: { + if (op->src[0]->type == GGML_TYPE_F16 && op->src[1]->type == GGML_TYPE_F16) { + // Has accuracy issue, try enabling this and see `test-backend-ops -o "MUL_MAT"` + // GGML_LOG_WARN("OpenVINO backend does not support MUL_MAT with two F16 tensors\n"); + return true; + } + if (op->src[0]->ne[3] != op->src[1]->ne[3] && op->src[0]->ne[3] != 1 && op->src[1]->ne[3] != 1) { + return true; + } + if (op->src[0]->op == GGML_OP_PERMUTE || op->src[1]->op == GGML_OP_PERMUTE) { + return true; + } + if (ggml_is_quantized(op->src[0]->type) && op->src[0]->ne[1] == 1) { + // MUL_MAT(type_a=q4_0,type_b=f32,m=1,n=2048,k=8192,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1) + // triggers a bug in ov matmul_shape_inference.hpp + return true; + } + if (op->src[0]->op == GGML_OP_VIEW && op->src[1]->op == GGML_OP_VIEW) { + return true; + } + break; + } + case GGML_OP_ROPE: { + const int32_t * op_params = op->op_params; + const int n_dims = op_params[1]; + const int mode = op_params[2]; + if (mode != GGML_ROPE_TYPE_NORMAL && mode != GGML_ROPE_TYPE_NEOX) { + // GGML_LOG_WARN("OpenVINO backend does not support ROPE with mode %d\n", mode); + return true; + } + if (n_dims != 0.0f && n_dims != op->src[0]->ne[0]) { + // GGML_LOG_WARN("OpenVINO backend does not support ROPE with n_dims %d != src[0]->ne[0] %ld\n", n_dims, + // op->src[0]->ne[0]); + return true; + } + if (op->type != GGML_TYPE_F32) { + // GGML_LOG_WARN("OpenVINO backend does not support ROPE with type %s\n", ggml_type_name(op->type)); + return true; + } + float freq_scale; + float ext_factor; + memcpy(&freq_scale, op_params + 6, sizeof(float)); + memcpy(&ext_factor, op_params + 7, sizeof(float)); + if (ext_factor != 0.0f) { + // GGML_LOG_WARN("OpenVINO backend does not support ROPE with ext_factor %f != 0.0f\n", ext_factor); + return true; + } + if (op->src[0]->op == GGML_OP_VIEW) { + if (op->src[0]->view_src->ne[1] != op->src[0]->ne[2]) { + // GGML_LOG_WARN( + // "OpenVINO backend does not support ROPE with src[0]->view_src->ne[1] %ld != src[0]->ne[2] " + // "%ld\n", + // op->src[0]->view_src->ne[1], op->src[0]->ne[2]); + return true; + } + } + break; + } + default: + break; + } + if (op->op == GGML_OP_GET_ROWS) { + if (op->ne[0] == 256 && (op->src[0]->type == GGML_TYPE_Q4_K || op->src[0]->type == GGML_TYPE_Q5_K)) { + // ERR = 0.000000306 > 0.000000100 GET_ROWS(type=q4_K,n=256,m=5,r=4,be1=1,be2=1,v=0) + // ERR = 0.000000197 > 0.000000100 GET_ROWS(type=q5_K,n=256,m=5,r=4,be1=1,be2=1,v=0) + return true; + } + } + return false; +} + +static bool ggml_backend_openvino_device_supports_op(ggml_backend_dev_t dev, const ggml_tensor * op) { + GGML_ASSERT(dev->reg != nullptr); + + static std::set supported_types{GGML_TYPE_F32, GGML_TYPE_F16, GGML_TYPE_BF16, GGML_TYPE_I64, + GGML_TYPE_I32, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1, GGML_TYPE_Q4_K, + GGML_TYPE_Q5_K, GGML_TYPE_Q8_0, GGML_TYPE_Q6_K}; + + static const std::set supported_ops{GGML_OP_NONE, GGML_OP_ADD, GGML_OP_MUL, GGML_OP_MUL_MAT, GGML_OP_VIEW, + /*GGML_OP_CONT,*/ GGML_OP_RESHAPE, GGML_OP_PERMUTE, GGML_OP_TRANSPOSE, + GGML_OP_GET_ROWS, GGML_OP_ROPE, GGML_OP_RMS_NORM, GGML_OP_SCALE, + // softmax is not updated due to replaced by flash_attn_ext + // GGML_OP_SOFT_MAX, + GGML_OP_SET_ROWS, GGML_OP_FLASH_ATTN_EXT, GGML_OP_CPY}; + static const std::set supported_unary_ops{ + GGML_UNARY_OP_SILU, + }; + static const std::set supported_glu_ops{ + GGML_GLU_OP_SWIGLU, + GGML_GLU_OP_GEGLU, + }; + + switch (op->op) { + case GGML_OP_UNARY: { + auto supported = supported_unary_ops.find(ggml_get_unary_op(op)) != supported_unary_ops.end(); + if (!supported) { + // GGML_LOG_WARN("OpenVINO backend does not support unary op %s\n", ggml_unary_op_name(ggml_get_unary_op(op))); + return false; + } + if (has_view_op_input(op)) { + // GGML_LOG_WARN("OpenVINO backend does not support unary op %s with view input\n", + // ggml_unary_op_name(ggml_get_unary_op(op))); + return false; + } + break; + } + case GGML_OP_GLU: { + auto supported = supported_glu_ops.find(ggml_get_glu_op(op)) != supported_glu_ops.end(); + if (!supported) { + // GGML_LOG_WARN("OpenVINO backend does not support GLU op %s\n", ggml_glu_op_name(ggml_get_glu_op(op))); + return false; + } + if (has_view_op_input(op)) { + // GGML_LOG_WARN("OpenVINO backend does not support unary op %s with view input\n", + // ggml_glu_op_name(ggml_get_glu_op(op))); + return false; + } + if (op->src[1] == nullptr && op->src[0]->ne[0] % 2 != 0) { + // triggers bug in ov gpu + return false; + } + break; + } + default: { + auto supported = supported_ops.find(op->op) != supported_ops.end(); + if (!supported) { + // GGML_LOG_WARN("OpenVINO backend does not support op %s\n", ggml_op_name(op->op)); + return false; + } + static std::set ops_not_support_view_input{ + GGML_OP_GET_ROWS, + GGML_OP_RMS_NORM, + }; + if (ops_not_support_view_input.find(op->op) != ops_not_support_view_input.end() && has_view_op_input(op)) { + // GGML_LOG_WARN("OpenVINO backend does not support op %s with view input\n", ggml_op_name(op->op)); + return false; + } + } + } + + if (supported_types.find(op->type) == supported_types.end()) { + // GGML_LOG_WARN("OpenVINO backend does not support tensor type %s\n", ggml_type_name(op->type)); + return false; + } + for (int i = 0; i < GGML_MAX_SRC; i++) { + auto * src = op->src[i]; + if (src == nullptr) { + break; + } + if (supported_types.find(src->type) == supported_types.end()) { + // GGML_LOG_WARN("OpenVINO backend does not support tensor type %s\n", ggml_type_name(src->type)); + return false; + } + if (ggml_is_quantized(src->type) && src->ne[2] != 1) { + // GGML_LOG_WARN("OpenVINO backend does not support 3D quantized tensors\n"); + return false; + } + } + + if (is_op_unsupported_case(op)) { + return false; + } + return true; +} + +static bool ggml_backend_openvino_device_supports_buft(ggml_backend_dev_t dev, ggml_backend_buffer_type_t buft) { + return ggml_backend_buft_is_openvino(buft) || ggml_backend_buft_is_host(buft); + GGML_UNUSED(dev); +} + +static const struct ggml_backend_device_i ggml_backend_openvino_device_interface = { + /* .get_name = */ ggml_backend_openvino_device_get_name, + /* .get_description = */ ggml_backend_openvino_device_get_description, + /* .get_memory = */ ggml_backend_openvino_device_get_memory, + /* .get_type = */ ggml_backend_openvino_device_get_type, + /* .get_props = */ ggml_backend_openvino_device_get_props, + /* .init_backend = */ ggml_backend_openvino_device_init, + /* .get_buffer_type = */ ggml_backend_openvino_device_get_buffer_type, + /* .get_host_buffer_type = */ ggml_backend_openvino_device_get_host_buffer_type, + /* .buffer_from_host_ptr = */ NULL, + /* .supports_op = */ ggml_backend_openvino_device_supports_op, + /* .supports_buft = */ ggml_backend_openvino_device_supports_buft, + /* .offload_op = */ NULL, + /* .event_new = */ NULL, + /* .event_free = */ NULL, + /* .event_synchronize = */ NULL, +}; + +struct ggml_backend_openvino_reg_context { + std::vector devices; +}; + +static const char * ggml_backend_openvino_reg_get_name(ggml_backend_reg_t reg) { + return GGML_OPENVINO_NAME; + GGML_UNUSED(reg); +} + +static size_t ggml_backend_openvino_reg_get_device_count(ggml_backend_reg_t reg) { + GGML_UNUSED(reg); + return (size_t) ggml_backend_openvino_get_device_count(); +} + +static ggml_backend_dev_t ggml_backend_openvino_reg_get_device(ggml_backend_reg_t reg, size_t index) { + ggml_backend_openvino_reg_context * ctx = (ggml_backend_openvino_reg_context *) reg->context; + GGML_ASSERT(index < ctx->devices.size()); + return ctx->devices[index]; +} + +static const struct ggml_backend_reg_i ggml_backend_openvino_reg_interface = { + /* .get_name = */ ggml_backend_openvino_reg_get_name, + /* .get_device_count = */ ggml_backend_openvino_reg_get_device_count, + /* .get_device = */ ggml_backend_openvino_reg_get_device, + /* .get_proc_address = */ NULL, +}; + +static void ggml_openvino_init() { + // Initialize device config singleton from env var + ggml_openvino_init_device_config(); + GGML_LOG_INFO("OpenVINO: using device %s\n", ggml_openvino_get_device_name().c_str()); +} + +GGML_BACKEND_API ggml_backend_reg_t ggml_backend_openvino_reg(void) { + static ggml_backend_reg reg; + + static bool initialized = false; + { + static std::mutex mutex; + std::lock_guard lock(mutex); + if (!initialized) { + ggml_openvino_init(); + + ggml_backend_openvino_reg_context * ctx = new ggml_backend_openvino_reg_context; + + for (int i = 0; i < ggml_backend_openvino_get_device_count(); i++) { + ggml_backend_openvino_device_context * dev_ctx = new ggml_backend_openvino_device_context; + dev_ctx->device = i; + dev_ctx->name = GGML_OPENVINO_NAME + std::to_string(i); + + dev_ctx->description = ov::get_openvino_version().description; + + ggml_backend_dev_t dev = + new ggml_backend_device{/* .interface = */ ggml_backend_openvino_device_interface, + /* .reg = */ ®, + /* .context = */ dev_ctx}; + ctx->devices.push_back(dev); + } + + reg = ggml_backend_reg{/* .api_version = */ GGML_BACKEND_API_VERSION, + /* .iface = */ ggml_backend_openvino_reg_interface, + /* .context = */ ctx}; + } + + initialized = true; + } + + return ® +} diff --git a/ggml/src/ggml-openvino/ggml-quants.cpp b/ggml/src/ggml-openvino/ggml-quants.cpp new file mode 100644 index 0000000000..dbf38646dd --- /dev/null +++ b/ggml/src/ggml-openvino/ggml-quants.cpp @@ -0,0 +1,884 @@ +#include "ggml-quants.h" + +#include "ggml-common.h" +#include "ggml-impl.h" +#include "ggml.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +void unpack_32_4(const uint8_t * data, uint8_t * dst) { + std::fill_n(dst, 16, 0); + for (int j = 0; j < 16; ++j) { + uint8_t x = (data[j] & 0x0F); + uint8_t y = (data[j] >> 4); + if (j % 2 != 0) { + x <<= 4; + y <<= 4; + } + dst[j / 2] |= x; + dst[8 + j / 2] |= y; // Last 16 weights are in the higher bits + } +} + +// Extracts (weight, scales, zp) from Q4_0 tensors. +// Data layout is: |16 bit scale|32 x 4bit weights|. +void extract_q4_0_data(const ggml_tensor * tensor, + ov::Tensor & weights_arr, + ov::Tensor & scales_arr, + ov::Tensor & zp_arr) { + const uint64_t bytes_per_block = 18; // 2 bytes scale, 32x0.5 byte weights + + auto * data = static_cast(tensor->data); + auto * weights = static_cast(weights_arr.data()); + auto * scales = scales_arr.data::value_type>(); + auto * zp = static_cast(zp_arr.data()); + + bool is_scalar_zp = (zp_arr.get_size() == 1); // Symmetric quantization + + // For Q4_0, zero point is always 8 + if (is_scalar_zp) { + zp[0] = 8 | (8 << 4); // Pack two 4-bit values + } + + ov::parallel_for(scales_arr.get_size(), [&](size_t i) { + scales[i] = ov::float16::from_bits(*((uint16_t *) (data + i * bytes_per_block))); + // For asymmetric quantization, compute per-block zero points + if (!is_scalar_zp) { + // Pack two 4-bit zero points per byte + if (i % 2 == 0) { + zp[i / 2] = 8; // Lower nibble + } else { + zp[i / 2] |= (8 << 4); // Upper nibble + } + } + unpack_32_4(data + i * bytes_per_block + 2, weights + i * 16); + }); +} + +// Extracts (weight, scales, zp) from Q4_1 tensors. +// Data layout is: |16 bit scale|16 bit min|32 x 4bit weights|. +void extract_q4_1_data(const ggml_tensor * tensor, + ov::Tensor & weights_arr, + ov::Tensor & scales_arr, + ov::Tensor & zp_arr, + bool use_bias) { + const uint64_t bytes_per_block = 20; // 2 bytes scale, 2 bytes min, 32x0.5 byte weights + + auto * data = static_cast(tensor->data); + auto * weights = static_cast(weights_arr.data()); + auto * scales = scales_arr.data::value_type>(); + + if (use_bias) { + // Store bias (min) directly as f16 instead of computing u4 zero points + auto * bias = zp_arr.data::value_type>(); + ov::parallel_for(scales_arr.get_size(), [&](size_t i) { + float scale = static_cast(ov::float16::from_bits(*((uint16_t *) (data + i * bytes_per_block)))); + float min = static_cast(ov::float16::from_bits(*((uint16_t *) (data + i * bytes_per_block + 2)))); + scales[i] = ov::float16(scale); + bias[i] = ov::float16(min); // bias = min, dequant: w*s + bias + unpack_32_4(data + i * bytes_per_block + 4, weights + i * 16); + }); + } else { + auto * zp = static_cast(zp_arr.data()); + ov::parallel_for(scales_arr.get_size(), [&](size_t i) { + float scale = static_cast(ov::float16::from_bits(*((uint16_t *) (data + i * bytes_per_block)))); + float min = static_cast(ov::float16::from_bits(*((uint16_t *) (data + i * bytes_per_block + 2)))); + scales[i] = ov::float16(scale); + // zp = -min / scale (bias = min, so zp = -bias/scale) + uint8_t zp_val = (scale != 0.0f) ? (uint8_t) std::round(-min / scale) : 0; + // Pack two 4-bit zero points per byte + if (i % 2 == 0) { + zp[i / 2] = zp_val & 0x0F; // Lower nibble + } else { + zp[i / 2] |= (zp_val << 4); // Upper nibble + } + unpack_32_4(data + i * bytes_per_block + 4, weights + i * 16); + }); + } +} + +// Extracts (weight, scales, zp) from Q8_0 tensors. +// Data layout is: |16 bit scale|32 x 8bit weights|. +void extract_q8_0_data(const ggml_tensor * tensor, + ov::Tensor & weights_arr, + ov::Tensor & scales_arr, + ov::Tensor & zp_arr) { + const uint64_t weights_per_block = 32; + const uint64_t bytes_per_block = 34; // 2 bytes scale, 32x1 byte weights + + auto * data = static_cast(tensor->data); + auto * weights = static_cast(weights_arr.data()); + auto * scales = scales_arr.data::value_type>(); + auto * zp = static_cast(zp_arr.data()); + + bool is_scalar_zp = (zp_arr.get_size() == 1); // Symmetric quantization + + // For Q8_0, zero point is always 128 + if (is_scalar_zp) { + zp[0] = 128; + } + + ov::parallel_for(scales_arr.get_size(), [&](size_t i) { + uint8_t * block_data = data + i * bytes_per_block; + scales[i] = ov::float16::from_bits(*(uint16_t *) block_data); + // For asymmetric quantization, store per-block zero points + if (!is_scalar_zp) { + zp[i] = 128; + } + for (size_t j = 0; j < weights_per_block; ++j) { + uint8_t x = block_data[j + 2]; // j+2 to skip the scale bytes. + // Original data is in int8_t, so we add a bias of -128 and invert the first bit. + x ^= 1 << 7; + weights[i * weights_per_block + j] = x; + } + }); +} + +void unpack_256_4(const uint8_t * data, uint8_t * dst) { + // Initialize the output array with zeros + std::fill_n(dst, 128, 0); + + for (size_t i = 0; i < 4; ++i) { + for (int j = 0; j < 32; ++j) { + uint8_t x = (data[i * 32 + j] & 0x0F); + uint8_t y = (data[i * 32 + j] >> 4); + if (j % 2 != 0) { + x <<= 4; + y <<= 4; + } + dst[i * 32 + j / 2] |= x; + dst[i * 32 + 16 + j / 2] |= y; // Last 16 weights are in the higher bits + } + } +} + +void extract_q4_k_data(const ggml_tensor * tensor, + ov::Tensor & weights_arr, + ov::Tensor & scales_arr, + ov::Tensor & zp_arr, + bool use_bias) { + const uint64_t bytes_per_block = 2 + 2 + 12 + 128; + const uint64_t n_super_block = tensor->nb[3] / bytes_per_block; + + auto * data = static_cast(tensor->data); + auto * weights = static_cast(weights_arr.data()); + auto * scales = scales_arr.data::value_type>(); + + // For bias path, zp_arr holds f16 bias values; for zp path, it holds packed u4 zero points + auto * zp_u4 = use_bias ? nullptr : static_cast(zp_arr.data()); + auto * bias_f16 = use_bias ? zp_arr.data::value_type>() : nullptr; + + ov::parallel_for(n_super_block, [&](size_t i) { + uint8_t * block_data = data + i * bytes_per_block; + + // Extract scale factors and offsets + float scale_scales = static_cast(ov::float16::from_bits(*((uint16_t *) block_data))); + float scale_mins = static_cast(ov::float16::from_bits(*((uint16_t *) block_data + 1))); + + // Extract qs1 and qs2 + uint8_t * qs1 = block_data + 4; + + // Calculate scales + float scale_vals[8]; + scale_vals[0] = scale_scales * static_cast((*(qs1) & 0b111111)); + scale_vals[1] = scale_scales * static_cast((*(qs1 + 1) & 0b111111)); + scale_vals[2] = scale_scales * static_cast((*(qs1 + 2) & 0b111111)); + scale_vals[3] = scale_scales * static_cast((*(qs1 + 3) & 0b111111)); + scale_vals[4] = scale_scales * static_cast((*(qs1 + 8) & 0b00001111) | ((*(qs1) >> 6) << 4)); + scale_vals[5] = scale_scales * static_cast((*(qs1 + 9) & 0b00001111) | ((*(qs1 + 1) >> 6) << 4)); + scale_vals[6] = scale_scales * static_cast((*(qs1 + 10) & 0b00001111) | ((*(qs1 + 2) >> 6) << 4)); + scale_vals[7] = scale_scales * static_cast((*(qs1 + 11) & 0b00001111) | ((*(qs1 + 3) >> 6) << 4)); + + // Calculate min values (bias = -min) + float min_vals[8]; + min_vals[0] = scale_mins * static_cast((*(qs1 + 4) & 0b111111)); + min_vals[1] = scale_mins * static_cast((*(qs1 + 5) & 0b111111)); + min_vals[2] = scale_mins * static_cast((*(qs1 + 6) & 0b111111)); + min_vals[3] = scale_mins * static_cast((*(qs1 + 7) & 0b111111)); + min_vals[4] = scale_mins * static_cast((*(qs1 + 8) >> 4) | ((*(qs1 + 4) >> 6) << 4)); + min_vals[5] = scale_mins * static_cast((*(qs1 + 9) >> 4) | ((*(qs1 + 5) >> 6) << 4)); + min_vals[6] = scale_mins * static_cast((*(qs1 + 10) >> 4) | ((*(qs1 + 6) >> 6) << 4)); + min_vals[7] = scale_mins * static_cast((*(qs1 + 11) >> 4) | ((*(qs1 + 7) >> 6) << 4)); + + // Store scales and compute zero points or bias + for (int j = 0; j < 8; j++) { + scales[i * 8 + j] = ov::float16(scale_vals[j]); + if (use_bias) { + // Store bias = -min directly as f16, dequant: w*s + bias + bias_f16[i * 8 + j] = ov::float16(-min_vals[j]); + } else { + // zp = min / scale (since bias = -min and zp = -bias/scale) + uint8_t zp_val = (scale_vals[j] != 0.0f) ? (uint8_t) std::round(min_vals[j] / scale_vals[j]) : 0; + // Pack two 4-bit zero points per byte + size_t idx = i * 8 + j; + if (idx % 2 == 0) { + zp_u4[idx / 2] = zp_val & 0x0F; + } else { + zp_u4[idx / 2] |= (zp_val << 4); + } + } + } + unpack_256_4(block_data + 16, weights + i * 128); + }); +} + +void extract_q6_k_data(const ggml_tensor * tensor, + ov::Tensor & weights_arr, + ov::Tensor & scales_arr, + ov::Tensor & zp_arr) { + const uint64_t bytes_per_block = 128 + 64 + 16 + 2; + const uint64_t n_super_block = tensor->nb[3] / bytes_per_block; + + auto * data = static_cast(tensor->data); + auto * weights = static_cast(weights_arr.data()); + auto * scales = scales_arr.data::value_type>(); + auto * zp = static_cast(zp_arr.data()); + + bool is_scalar_zp = (zp_arr.get_size() == 1); // Symmetric quantization + + // For Q6_K, zero point is always 32 + if (is_scalar_zp) { + zp[0] = 32; + } + + ov::parallel_for(n_super_block, [&](size_t i) { + uint8_t * block_data = data + i * bytes_per_block; + + float scale_factor = + static_cast(ov::float16::from_bits(*((uint16_t *) block_data + 104))); // (128+64+16)/2 + + for (size_t j = 0; j < 16; j++) { + scales[j + i * 16] = + ov::float16(scale_factor * static_cast(*((int8_t *) (block_data + 128 + 64 + j)))); + // For asymmetric quantization, store per-block zero points + if (!is_scalar_zp) { + zp[j + i * 16] = 32; + } + } + + uint8_t * ql = block_data; + uint8_t * qh = block_data + 128; + + for (int64_t j = 0; j < 32; ++j) { + weights[i * 256 + j] = (ql[j] & 0xF) | (((qh[j] >> 0) & 3) << 4); + weights[i * 256 + j + 32] = (ql[32 + j] & 0xF) | (((qh[j] >> 2) & 3) << 4); + weights[i * 256 + j + 64] = (ql[j] >> 4) | (((qh[j] >> 4) & 3) << 4); + weights[i * 256 + j + 96] = (ql[32 + j] >> 4) | (((qh[j] >> 6) & 3) << 4); + weights[i * 256 + j + 128] = (ql[64 + j] & 0xF) | (((qh[32 + j] >> 0) & 3) << 4); + weights[i * 256 + j + 160] = (ql[96 + j] & 0xF) | (((qh[32 + j] >> 2) & 3) << 4); + weights[i * 256 + j + 192] = (ql[64 + j] >> 4) | (((qh[32 + j] >> 4) & 3) << 4); + weights[i * 256 + j + 224] = (ql[96 + j] >> 4) | (((qh[32 + j] >> 6) & 3) << 4); + } + }); +} + +static inline void get_scale_min_k4(int j, const uint8_t * q, uint8_t * d, uint8_t * m) { + if (j < 4) { + *d = q[j] & 63; + *m = q[j + 4] & 63; + } else { + *d = (q[j + 4] & 0xF) | ((q[j - 4] >> 6) << 4); + *m = (q[j + 4] >> 4) | ((q[j - 0] >> 6) << 4); + } +} + +void extract_q5_k_data(const ggml_tensor * tensor, + ov::Tensor & weights_arr, + ov::Tensor & scales_arr, + ov::Tensor & zp_arr, + bool use_bias) { + const uint64_t bytes_per_block = 4 + 12 + 32 + 128; + const uint64_t n_super_block = tensor->nb[3] / bytes_per_block; + + auto * data = static_cast(tensor->data); + auto * weights = static_cast(weights_arr.data()); + auto * scales = scales_arr.data::value_type>(); + + // For bias path, zp_arr holds f16 bias values; for zp path, it holds u8 zero points + auto * zp_u8 = use_bias ? nullptr : static_cast(zp_arr.data()); + auto * bias_f16 = use_bias ? zp_arr.data::value_type>() : nullptr; + + ov::parallel_for(n_super_block, [&](size_t i) { + uint8_t * block_data = data + i * bytes_per_block; + + const float d = static_cast(ov::float16::from_bits(*((uint16_t *) block_data))); + const float min_factor = static_cast(ov::float16::from_bits(*((uint16_t *) block_data + 1))); + + const uint8_t * scales_data = block_data + 4; // 12 bytes of scales + const uint8_t * qh = block_data + 4 + 12; // 32 bytes of high bits + const uint8_t * ql = block_data + 4 + 12 + 32; // 128 bytes of low bits + + int is = 0; + uint8_t u1 = 1; + uint8_t u2 = 2; + + // Process 2 blocks in one iteration + for (int j = 0; j < 256; j += 64) { // 256 = QK_K, so 4 iterations of 64 + uint8_t sc; + uint8_t m; + + // Get scale and min for first 32 elements + get_scale_min_k4(is + 0, scales_data, &sc, &m); + const float d1 = d * sc; + const float m1 = min_factor * m; + + // Get scale and min for second 32 elements + get_scale_min_k4(is + 1, scales_data, &sc, &m); + const float d2 = d * sc; + const float m2 = min_factor * m; + + scales[i * 8 + is] = ov::float16(d1); + scales[i * 8 + is + 1] = ov::float16(d2); + if (use_bias) { + // Store bias = -min directly as f16, dequant: w*s + bias + bias_f16[i * 8 + is] = ov::float16(-m1); + bias_f16[i * 8 + is + 1] = ov::float16(-m2); + } else { + // zp = min / scale (since bias = -min and zp = -bias/scale) + zp_u8[i * 8 + is] = (d1 != 0.0f) ? (uint8_t) std::round(m1 / d1) : 0; + zp_u8[i * 8 + is + 1] = (d2 != 0.0f) ? (uint8_t) std::round(m2 / d2) : 0; + } + + // Extract weights for first 32 elements (matching deq formula exactly) + for (int l = 0; l < 32; ++l) { + weights[i * 256 + j + l] = (ql[l] & 0xF) + ((qh[l] & u1) ? 16 : 0); + } + + // Extract weights for second 32 elements + for (int l = 0; l < 32; ++l) { + weights[i * 256 + j + l + 32] = (ql[l] >> 4) + ((qh[l] & u2) ? 16 : 0); + } + + ql += 32; + is += 2; + u1 <<= 2; + u2 <<= 2; + } + }); +} + +// TODO Reorder for make_intX_weights + +ov::Output make_int8_weights(ov::Tensor & weight, + ov::Tensor & scales, + ov::Tensor & zp, + size_t group_size, + bool use_bias) { + ov::Shape orig_shape = weight.get_shape(); + + // Expand dimensions for scales and zp/bias + auto scale_shape = scales.get_shape(); + auto zp_shape = zp.get_shape(); + bool is_scalar_zp = zp_shape.empty(); // Symmetric quantization + + ov::Shape packed_shape = {orig_shape[0], orig_shape[1] / group_size, group_size}; + + if (packed_shape[1] == 1) { + // Requantized channel-wise case + packed_shape.erase(packed_shape.begin() + 1); + } else { + scale_shape.push_back(1); + scales.set_shape(scale_shape); + // For symmetric quantization, zp remains scalar (don't resize) + if (!is_scalar_zp) { + zp_shape.push_back(1); + zp.set_shape(zp_shape); + } + } + + // Create graph nodes + auto weights_node = std::make_shared(ov::element::u8, packed_shape, + static_cast(weight.data()), nullptr); + weights_node->get_rt_info()["__gguf_tensor_holder"] = weight; + auto scales_f16 = std::make_shared(scales); + auto weights_f16 = std::make_shared(weights_node, ov::element::f16); + + ov::Output result; + if (use_bias && !is_scalar_zp) { + // Bias path: w * s + b (zp tensor holds f16 bias values) + auto bias_f16 = std::make_shared(zp); + auto w_s = std::make_shared(weights_f16, scales_f16, ov::op::AutoBroadcastType::NUMPY); + result = std::make_shared(w_s, bias_f16, ov::op::AutoBroadcastType::NUMPY); + } else { + // Zero point path: (w - zp) * s + auto zero_point = std::make_shared(zp); + float zp_value; + if (ov::op::util::get_single_value(zero_point, zp_value)) { + zero_point = ov::op::v0::Constant::create(zero_point->get_element_type(), {}, {zp_value}); + } + auto zero_point_f16 = std::make_shared(zero_point, ov::element::f16); + auto w_zp = + std::make_shared(weights_f16, zero_point_f16, ov::op::AutoBroadcastType::NUMPY); + result = std::make_shared(w_zp, scales_f16, ov::op::AutoBroadcastType::NUMPY); + } + + if (packed_shape.size() != 2) { + // If not requantized channel-wise case, reshape back to original shape + auto final_shape = + std::make_shared(ov::element::i64, ov::Shape{orig_shape.size()}, orig_shape); + result = std::make_shared(result, final_shape, false); + } + + return std::make_shared(result, ov::element::f32); +} + +ov::Output make_int4_weights(ov::Tensor & weight, + ov::Tensor & scales, + ov::Tensor & zp, + size_t group_size, + bool use_bias) { + ov::Shape orig_weight_shape = weight.get_shape(); + + // Expand dimensions for scales and zp/bias + ov::Shape scale_shape = scales.get_shape(); + auto zp_shape = zp.get_shape(); + bool is_scalar_zp = zp_shape.empty(); // Symmetric quantization + + // Create INT4 weight tensor + ov::Shape packed_shape = {orig_weight_shape[0], orig_weight_shape[1] / group_size, group_size}; + + if (packed_shape[1] == 1) { + // Requantized channel-wise case + packed_shape.erase(packed_shape.begin() + 1); + } else { + scale_shape.push_back(1); + scales.set_shape(scale_shape); + // For symmetric quantization, zp remains scalar (don't resize) + if (!is_scalar_zp) { + zp_shape.push_back(1); + zp.set_shape(zp_shape); + } + } + + auto weights_node = std::make_shared(ov::element::u4, packed_shape, + static_cast(weight.data()), nullptr); + weights_node->get_rt_info()["__gguf_tensor_holder"] = weight; + auto weights_f16 = std::make_shared(weights_node, ov::element::f16); + auto scales_f16 = std::make_shared(scales); + + ov::Output result; + if (use_bias && !is_scalar_zp) { + // Bias path: w * s + b (zp tensor holds f16 bias values) + auto bias_f16 = std::make_shared(zp); + auto w_s = std::make_shared(weights_f16, scales_f16, ov::op::AutoBroadcastType::NUMPY); + result = std::make_shared(w_s, bias_f16, ov::op::AutoBroadcastType::NUMPY); + } else { + // Zero point path: (w - zp) * s + auto zero_points_node = std::make_shared(zp); + float zp_value; + if (ov::op::util::get_single_value(zero_points_node, zp_value)) { + zero_points_node = ov::op::v0::Constant::create(zero_points_node->get_element_type(), {}, {zp_value}); + } + auto zero_points_f16 = std::make_shared(zero_points_node, ov::element::f16); + auto w_zp = + std::make_shared(weights_f16, zero_points_f16, ov::op::AutoBroadcastType::NUMPY); + result = std::make_shared(w_zp, scales_f16, ov::op::AutoBroadcastType::NUMPY); + } + + if (packed_shape.size() != 2) { + // If not requantized channel-wise case, reshape back to original shape + auto final_shape = std::make_shared(ov::element::i64, ov::Shape{orig_weight_shape.size()}, + orig_weight_shape); + result = std::make_shared(result, final_shape, false); + } + + return std::make_shared(result, ov::element::f32); +} + +// Extract quantized weights from tensor and create weight subgraph +std::shared_ptr extract_quantized_weights(const ggml_tensor * tensor, + const void * data, + ov::Tensor & weights, + ov::Tensor & scales, + ov::Tensor & zp, + bool use_bias) { + // Create a temporary tensor for extraction functions that read from tensor->data + ggml_tensor temp_tensor = *tensor; + temp_tensor.data = const_cast(data); + + // Determine block size based on tensor type + int64_t weights_per_block; + bool is_u4; + switch (tensor->type) { + case GGML_TYPE_Q4_0: + case GGML_TYPE_Q4_1: + case GGML_TYPE_Q4_K: + is_u4 = true; + weights_per_block = 32; + break; + case GGML_TYPE_Q8_0: + case GGML_TYPE_Q5_K: + is_u4 = false; + weights_per_block = 32; + break; + case GGML_TYPE_Q6_K: + is_u4 = false; + weights_per_block = 16; + break; + default: + throw std::runtime_error("Unsupported quantized type for extraction: " + + std::string(ggml_type_name(tensor->type))); + } + + // Extract quantized data + switch (tensor->type) { + case GGML_TYPE_Q4_0: + extract_q4_0_data(&temp_tensor, weights, scales, zp); + break; + case GGML_TYPE_Q4_1: + extract_q4_1_data(&temp_tensor, weights, scales, zp, use_bias); + break; + case GGML_TYPE_Q4_K: + extract_q4_k_data(&temp_tensor, weights, scales, zp, use_bias); + break; + case GGML_TYPE_Q8_0: + extract_q8_0_data(&temp_tensor, weights, scales, zp); + break; + case GGML_TYPE_Q6_K: + extract_q6_k_data(&temp_tensor, weights, scales, zp); + break; + case GGML_TYPE_Q5_K: + extract_q5_k_data(&temp_tensor, weights, scales, zp, use_bias); + break; + default: + throw std::runtime_error("Unsupported quantized type: " + std::string(ggml_type_name(tensor->type))); + } + + // Create the OpenVINO weight subgraph + ov::Output weight_node; + if (is_u4) { + weight_node = make_int4_weights(weights, scales, zp, weights_per_block, use_bias); + } else { + weight_node = make_int8_weights(weights, scales, zp, weights_per_block, use_bias); + } + + auto result = weight_node.get_node_shared_ptr(); + result->set_friendly_name(tensor->name); + return result; +} + +// Requantize weights to target format, writing to provided buffers +std::shared_ptr requantize_to_buffers(const ggml_tensor * tensor, + const void * data, + ExtraQuantType requant_type, + int64_t block_size, + ov::Tensor & weights, + ov::Tensor & scales, + ov::Tensor & zp) { + int64_t n_elements = ggml_nelements(tensor); + + // First dequantize to F32 + std::vector weights_f32(n_elements); + ggml_get_type_traits(tensor->type)->to_float(data, weights_f32.data(), n_elements); + + // Handle F16 case - just convert and create constant + if (requant_type == ExtraQuantType::F16) { + ggml_get_type_traits(GGML_TYPE_F16)->from_float_ref(weights_f32.data(), weights.data(), n_elements); + auto result = std::make_shared(weights); + result->set_friendly_name(tensor->name); + return result; + } + + // Requantize to target quantized format + bool is_u4 = (requant_type == ExtraQuantType::Q4_0_C || requant_type == ExtraQuantType::Q4_0_128); + + if (is_u4) { + quantize_q4_0(weights_f32.data(), weights, scales, zp, n_elements, block_size); + } else if (requant_type == ExtraQuantType::Q8_1_C) { + quantize_q8_1(weights_f32.data(), weights, scales, zp, n_elements, block_size); + } else { + quantize_q8_0(weights_f32.data(), weights, scales, zp, n_elements, block_size); + } + + // Create the OpenVINO weight subgraph + ov::Output weight_node; + if (is_u4) { + weight_node = make_int4_weights(weights, scales, zp, block_size); + } else { + weight_node = make_int8_weights(weights, scales, zp, block_size); + } + + auto result = weight_node.get_node_shared_ptr(); + result->set_friendly_name(tensor->name); + return result; +} + +OvWeight process_weight_tensor(const ggml_tensor * tensor, const void * data, void * output_base_ptr, bool use_bias) { + GGML_ASSERT(tensor != nullptr); + GGML_ASSERT(data != nullptr); + + OvWeight result; + + // Get 2D shape for weights [rows, cols] + ov::Shape node_shape = {static_cast(tensor->ne[1]), static_cast(tensor->ne[0])}; + + // Handle F16/F32/BF16 weights + if (tensor->type == GGML_TYPE_F32 || tensor->type == GGML_TYPE_F16 || tensor->type == GGML_TYPE_BF16) { + ov::element::Type element_type; + switch (tensor->type) { + case GGML_TYPE_F32: + element_type = ov::element::f32; + break; + case GGML_TYPE_F16: + element_type = ov::element::f16; + break; + case GGML_TYPE_BF16: + element_type = ov::element::bf16; + break; + default: + OPENVINO_THROW("Unexpected tensor type in F16/F32/BF16 path"); + } + + if (output_base_ptr && output_base_ptr != data) { + // Using external buffer - copy data and create shared-memory constant + size_t tensor_bytes = ggml_nbytes(tensor); + memcpy(output_base_ptr, data, tensor_bytes); + result.weights = ov::Tensor(element_type, node_shape, output_base_ptr); + } else { + result.weights = ov::Tensor(element_type, node_shape, data); + } + result.weight_node = std::make_shared(result.weights); + return result; + } + + // Handle quantized weights + if (!ggml_is_quantized(tensor->type)) { + OPENVINO_THROW("Unsupported weight tensor type: ", ggml_type_name(tensor->type)); + } + + result.layout = ggml_openvino_get_extracted_layout(tensor, use_bias); + const auto & layout = result.layout; + if (layout.total_size == 0) { + OPENVINO_THROW("Unsupported quantized type: ", ggml_type_name(tensor->type)); + } + + if (use_bias) { + OPENVINO_ASSERT(!layout.is_requant, + "use_bias is only used for test-backend-ops, which should not have requantization"); + // bias node will be created on the fly and not use backend buffer + output_base_ptr = nullptr; + } + + // F16 requant path - no separate scales/zp needed in result + if (layout.is_requant && layout.requant_type.has_value() && layout.requant_type.value() == ExtraQuantType::F16) { + if (output_base_ptr) { + result.weights = ov::Tensor(ov::element::f16, node_shape, + static_cast(output_base_ptr) + layout.weights_offset); + } else { + result.weights = ov::Tensor(ov::element::f16, node_shape); + } + ov::Tensor dummy_scales, dummy_zp; // Not used for F16 + result.weight_node = + requantize_to_buffers(tensor, data, ExtraQuantType::F16, 0, result.weights, dummy_scales, dummy_zp); + return result; + } + + // Quantized path (normal extraction or quantized requant) + // Create weight/scale/zp tensors - shared between both paths + ov::element::Type weight_type = layout.is_u4 ? ov::element::u4 : ov::element::u8; + ov::Shape scale_shape = {node_shape[0], node_shape[1] / layout.weights_per_block}; + ov::Shape zp_shape = layout.is_symmetric ? ov::Shape{} : scale_shape; + + if (output_base_ptr) { + uint8_t * buf_base = static_cast(output_base_ptr); + result.weights = ov::Tensor(weight_type, node_shape, buf_base + layout.weights_offset); + result.scales = ov::Tensor(ov::element::f16, scale_shape, buf_base + layout.scales_offset); + result.zp = ov::Tensor(weight_type, zp_shape, buf_base + layout.zp_offset); + } else { + result.weights = ov::Tensor(weight_type, node_shape); + result.scales = ov::Tensor(ov::element::f16, scale_shape); + if (use_bias && !layout.is_symmetric) { + // bias only has effect for asymmetric quant + result.zp = ov::Tensor(ov::element::f16, zp_shape); + } else { + result.zp = ov::Tensor(weight_type, zp_shape); + } + } + + if (layout.is_requant && layout.requant_type.has_value()) { + result.weight_node = requantize_to_buffers(tensor, data, layout.requant_type.value(), layout.weights_per_block, + result.weights, result.scales, result.zp); + } else { + result.weight_node = + extract_quantized_weights(tensor, data, result.weights, result.scales, result.zp, use_bias); + } + + return result; +} + +void quantize_q4_0(const float * x, + ov::Tensor & weights_arr, + ov::Tensor & scales_arr, + ov::Tensor & zp_arr, + int64_t k, + int64_t qk) { + assert(k % qk == 0); + const int nb = k / qk; + + auto * weights = static_cast(weights_arr.data()); + auto * scales = scales_arr.data::value_type>(); + auto * zp = static_cast(zp_arr.data()); + bool is_scalar_zp = (zp_arr.get_size() == 1); // Symmetric quantization + + // For Q4_0, zero point is always 8 + if (is_scalar_zp) { + zp[0] = 8 | (8 << 4); // Pack two 4-bit values + } + + for (int i = 0; i < nb; i++) { + float amax = 0.0f; // absolute max + float max = 0.0f; + + for (int j = 0; j < qk; j++) { + const float v = x[i * qk + j]; + if (amax < fabsf(v)) { + amax = fabsf(v); + max = v; + } + } + + const float d = max / -8; + + if (d == 0) { + scales[i] = ov::float16(1.0f); + // zp is already set to 8 for symmetric, or set per-block for asymmetric + if (!is_scalar_zp) { + if (i % 2 == 0) { + zp[i / 2] = 8; + } else { + zp[i / 2] |= (8 << 4); + } + } + memset(weights + i * qk / 2, 8 | (8 << 4), qk / 2); + continue; + } + + const float id = 1.0f / d; + scales[i] = ov::float16(d); + // For asymmetric quantization, store per-block zero points + if (!is_scalar_zp) { + if (i % 2 == 0) { + zp[i / 2] = 8; + } else { + zp[i / 2] |= (8 << 4); + } + } + + for (int j = 0; j < qk / 2; ++j) { + const float x0 = x[i * qk + 2 * j] * id; + const float x1 = x[i * qk + 2 * j + 1] * id; + const uint8_t xi0 = MIN(15, (int8_t) (x0 + 8.5f)); + const uint8_t xi1 = MIN(15, (int8_t) (x1 + 8.5f)); + weights[i * qk / 2 + j] = xi0 | (xi1 << 4); + } + } +} + +void quantize_q8_0(const float * x, + ov::Tensor & weights_arr, + ov::Tensor & scales_arr, + ov::Tensor & zp_arr, + int64_t k, + int64_t qk) { + assert(k % qk == 0); + const int nb = k / qk; + + auto * weights = static_cast(weights_arr.data()); + auto * scales = scales_arr.data::value_type>(); + auto * zp = static_cast(zp_arr.data()); + bool is_scalar_zp = (zp_arr.get_size() == 1); // Symmetric quantization + + // For Q8_0, zero point is always 128 + if (is_scalar_zp) { + zp[0] = 128; + } + + for (int i = 0; i < nb; i++) { + float amax = 0.0f; // absolute max + + for (int j = 0; j < qk; j++) { + const float v = x[i * qk + j]; + if (amax < fabsf(v)) { + amax = fabsf(v); + } + } + + const float d = amax / 127.0f; + const float id = d ? 1.0f / d : 0.0f; + scales[i] = ov::float16(d); + // For asymmetric quantization, store per-block zero points + if (!is_scalar_zp) { + zp[i] = 128; + } + + for (int j = 0; j < qk; ++j) { + const float x0 = x[i * qk + j] * id; + const int8_t xi0 = roundf(x0); + weights[i * qk + j] = (uint8_t) (xi0 + 128); + } + } +} + +void quantize_q8_1(const float * x, + ov::Tensor & weights_arr, + ov::Tensor & scales_arr, + ov::Tensor & zp_arr, + int64_t k, + int64_t qk) { + assert(k % qk == 0); + const int nb = k / qk; + + auto * weights = static_cast(weights_arr.data()); + auto * scales = scales_arr.data::value_type>(); + auto * zp = static_cast(zp_arr.data()); + for (int i = 0; i < nb; i++) { + float min = std::numeric_limits::max(); + float max = std::numeric_limits::lowest(); + + for (int j = 0; j < qk; j++) { + const float v = x[i * qk + j]; + if (v < min) { + min = v; + } + if (v > max) { + max = v; + } + } + + const float d = (max - min) / ((1 << 8) - 1); + const float id = d ? 1.0f / d : 0.0f; + scales[i] = ov::float16(d); + // zp = -min / scale (Q8_1 is asymmetric) + zp[i] = (d != 0.0f) ? (uint8_t) std::round(-min / d) : 0; + + for (int j = 0; j < qk; ++j) { + const float x0 = (x[i * qk + j] - min) * id; + const uint8_t xi0 = roundf(x0); + weights[i * qk + j] = xi0; + } + } +} diff --git a/ggml/src/ggml-openvino/ggml-quants.h b/ggml/src/ggml-openvino/ggml-quants.h new file mode 100644 index 0000000000..e4a02297ca --- /dev/null +++ b/ggml/src/ggml-openvino/ggml-quants.h @@ -0,0 +1,153 @@ +#pragma once +#include "ggml-openvino-extra.h" // For ExtraQuantType +#include "ggml.h" + +#include +#include +#include + +void unpack_32_4(const uint8_t* data, uint8_t* dst); + +void extract_q4_0_data(const ggml_tensor * tensor, + ov::Tensor & weights_arr, + ov::Tensor & scales_arr, + ov::Tensor & zp_arr); + +void extract_q4_1_data(const ggml_tensor * tensor, + ov::Tensor & weights_arr, + ov::Tensor & scales_arr, + ov::Tensor & zp_arr, + bool use_bias = false); + +void extract_q8_0_data(const ggml_tensor * tensor, + ov::Tensor & weights_arr, + ov::Tensor & scales_arr, + ov::Tensor & zp_arr); + +void unpack_256_4(const uint8_t* data, uint8_t* dst); + +void extract_q4_k_data(const ggml_tensor * tensor, + ov::Tensor & weights_arr, + ov::Tensor & scales_arr, + ov::Tensor & zp_arr, + bool use_bias = false); + +void extract_q5_k_data(const ggml_tensor * tensor, + ov::Tensor & weights_arr, + ov::Tensor & scales_arr, + ov::Tensor & zp_arr, + bool use_bias = false); + +void extract_q6_k_data(const ggml_tensor * tensor, + ov::Tensor & weights_arr, + ov::Tensor & scales_arr, + ov::Tensor & zp_arr); + +static constexpr size_t GGML_QUANTIZATION_GROUP_SIZE = 32; + +ov::Output make_int8_weights(ov::Tensor & weight, + ov::Tensor & scales, + ov::Tensor & zp, + size_t group_size = GGML_QUANTIZATION_GROUP_SIZE, + bool use_bias = false); + +ov::Output make_int4_weights(ov::Tensor & weight, + ov::Tensor & scales, + ov::Tensor & zp, + size_t group_size = GGML_QUANTIZATION_GROUP_SIZE, + bool use_bias = false); + +// Extract quantized weights from tensor and create weight subgraph +// If weights/scales/zp are provided (non-empty), uses them as output buffers +// Otherwise allocates new ov::Tensors internally +// Returns the weight node (make_int4_weights or make_int8_weights result) +std::shared_ptr extract_quantized_weights( + const ggml_tensor * tensor, + const void * data, // Source data pointer (may differ from tensor->data) + ov::Tensor & weights, + ov::Tensor & scales, + ov::Tensor & zp, + bool use_bias = false); // Use fp bias instead of quantized zero_point (for test-backend-ops) + +// Requantize weights from tensor to target format, writing to provided buffers +// For F16 target, only weights buffer is used (scales/zp ignored) +// Returns the weight node +std::shared_ptr requantize_to_buffers(const ggml_tensor * tensor, + const void * data, // Source data pointer + ExtraQuantType requant_type, + int64_t block_size, + ov::Tensor & weights, + ov::Tensor & scales, + ov::Tensor & zp); + +inline const char * extra_quant_type_name(ExtraQuantType t) { + switch (t) { + case ExtraQuantType::F16: + return "F16"; + case ExtraQuantType::Q4_0_C: + return "Q4_0_C"; + case ExtraQuantType::Q4_0_128: + return "Q4_0_128"; + case ExtraQuantType::Q8_0_C: + return "Q8_0_C"; + case ExtraQuantType::Q8_0_32: + return "Q8_0_32"; + case ExtraQuantType::Q8_1_C: + return "Q8_1_C"; + default: + return "unknown"; + } +} + +// Result from process_weight_tensor containing the weight node and tensors. +// For quantized weights, also contains the extracted layout and scale/zp tensors. +struct OvWeight { + std::shared_ptr weight_node; + ggml_openvino_extracted_layout layout; // Only meaningful for quantized (layout.total_size > 0) + ov::Tensor weights; + ov::Tensor scales; + ov::Tensor zp; + + bool is_quantized() const { return layout.scales_size > 0; } +}; + +// Process weight tensor and create an OpenVINO weight node +// Handles F16/F32/BF16 and quantized weights, with optional requantization +// If output_base_ptr is nullptr, allocates internal buffers (for decoder use) +// If output_base_ptr is provided, uses pre-allocated buffers at specified offsets (for backend buffer use) +// Returns OvWeight with the weight node and optional quantized tensors +OvWeight process_weight_tensor( + const ggml_tensor * tensor, + const void * data, // Source data pointer (may differ from tensor->data) + void * output_base_ptr = nullptr, // Base pointer for output buffers (or nullptr for internal allocation) + bool use_bias = false); // Use fp bias instead of quantized zero_point, only used in test-backend-ops + +void quantize_q4_0(const float * x, + ov::Tensor & weights_arr, + ov::Tensor & scales_arr, + ov::Tensor & zp_arr, + int64_t k, + int64_t qk); +void quantize_q8_1(const float * x, + ov::Tensor & weights_arr, + ov::Tensor & scales_arr, + ov::Tensor & zp_arr, + int64_t k, + int64_t qk); +void quantize_q8_0(const float * x, + ov::Tensor & weights_arr, + ov::Tensor & scales_arr, + ov::Tensor & zp_arr, + int64_t k, + int64_t qk); + +namespace ov { +namespace op { +namespace util { +// From /src/common/transformations/include/transformations/utils/utils.hpp +bool get_single_value(const std::shared_ptr& const_node, + float& value, + bool check_value_range = true); +} // namespace util +} // namespace op +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/decoder.h b/ggml/src/ggml-openvino/openvino/decoder.h new file mode 100644 index 0000000000..3b8da2be5d --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/decoder.h @@ -0,0 +1,74 @@ +#pragma once + +#include +#include +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { + +class GgmlDecoder : public DecoderBase { +public: + virtual ov::Any get_attribute(const std::string& name) const = 0; + + virtual PartialShape get_input_shape(int node_idx, const std::string& name) const = 0; + + virtual std::vector get_input_stride(int node_idx, const std::string& name) const = 0; + + virtual element::Type get_input_type(int node_idx, const std::string& name) const = 0; + + virtual size_t get_input_size() const = 0; + + virtual size_t get_input_size(int node_idx) const = 0; + + virtual void get_input_node(size_t input_port_idx, + std::string& producer_name, + std::string& producer_output_port_name, + size_t& producer_output_port_index) const = 0; + + virtual std::vector get_input_names(int node_idx) const = 0; + + virtual PartialShape get_output_shape(int node_idx) const = 0; + + virtual element::Type get_output_type(const int node_idx) const = 0; + + virtual int32_t* get_input_op_params(int node_idx, const std::string& name) const = 0; + + virtual int32_t * get_output_op_params(int node_idx) const = 0; + + virtual std::vector get_output_names(int node_idx) const = 0; + + virtual const std::string& get_op_type() const = 0; + + virtual const std::string& get_op_type(int node_idx) const = 0; + + virtual const std::string& get_op_name() const = 0; + + virtual const std::string& get_op_name(int node_idx) const = 0; + + virtual void visit_subgraph(std::function, int node_idx)> node_visitor) const = 0; + + virtual int get_op_case(int node_idx) const = 0; + + virtual const std::map>& get_model_inputs() const = 0; + virtual const std::map>& get_model_extra_inputs() const = 0; + virtual const std::map>& get_model_weights() const = 0; + virtual std::vector get_model_output_names() const = 0; + + virtual int32_t* get_rope_params() const = 0; + + virtual std::map get_kv_param_res_names() const = 0; + + virtual bool is_static() const = 0; + + virtual bool is_stateful() const = 0; + + virtual int is_swa_layer(int layer) const = 0; +}; + +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/frontend.cpp b/ggml/src/ggml-openvino/openvino/frontend.cpp new file mode 100644 index 0000000000..c2ba14e66e --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/frontend.cpp @@ -0,0 +1,27 @@ +#include "frontend.h" + +#include "input_model.h" +#include "op_table.h" +#include "translate_session.h" + +namespace ov { +namespace frontend { +namespace ggml { + +FrontEnd::FrontEnd() {} + +std::shared_ptr FrontEnd::convert(const InputModel::Ptr & model, bool naive) { + auto ggml_model = std::dynamic_pointer_cast(model); + FRONT_END_GENERAL_CHECK(ggml_model, "Invalid input model"); + std::shared_ptr converted_model; + const auto & supported_ops = get_supported_ops(); + { + TranslateSession translate_session(model, supported_ops, naive); + converted_model = translate_session.get_converted_model(); + } + return converted_model; +} + +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/frontend.h b/ggml/src/ggml-openvino/openvino/frontend.h new file mode 100644 index 0000000000..f1c6f0c3e3 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/frontend.h @@ -0,0 +1,23 @@ +// Copyright (C) 2018-2024 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 +// + +#pragma once + +#include + +namespace ov { +namespace frontend { +namespace ggml { + +class FrontEnd { +public: + using Ptr = std::shared_ptr; + FrontEnd(); + + static std::shared_ptr convert(const InputModel::Ptr& model, bool naive = false); +}; + +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/input_model.cpp b/ggml/src/ggml-openvino/openvino/input_model.cpp new file mode 100644 index 0000000000..39b004c931 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/input_model.cpp @@ -0,0 +1,17 @@ +#include "input_model.h" + +#include "decoder.h" + +namespace ov { +namespace frontend { +namespace ggml { + +InputModel::InputModel(const std::shared_ptr & gdecoder) : m_decoder(gdecoder) {} + +const std::shared_ptr & InputModel::get_model_decoder() const { + return m_decoder; +} + +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/input_model.h b/ggml/src/ggml-openvino/openvino/input_model.h new file mode 100644 index 0000000000..ce8434426c --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/input_model.h @@ -0,0 +1,29 @@ +#pragma once + +#include + +#include "decoder.h" + +namespace ov { +namespace frontend { +namespace ggml { + +class FrontEnd; +class GgmlDecoder; +using ov::frontend::ggml::GgmlDecoder; + +class InputModel : public ov::frontend::InputModel { + friend class ::ov::frontend::ggml::FrontEnd; + +public: + explicit InputModel(const std::shared_ptr& gdecoder); + + const std::shared_ptr& get_model_decoder() const; + +private: + std::shared_ptr m_decoder; +}; + +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/node_context.h b/ggml/src/ggml-openvino/openvino/node_context.h new file mode 100644 index 0000000000..aa484128a9 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/node_context.h @@ -0,0 +1,112 @@ +#pragma once + +#include +#include +#include + +#include "decoder.h" + +namespace ov { +namespace frontend { +namespace ggml { + +class TranslateSession; + +typedef std::map> TensorMap; + +class NodeContext : public frontend::NodeContext { +public: + NodeContext(const std::shared_ptr& decoder, + std::shared_ptr& tensor_map, + int node_idx, + TranslateSession* translate_session = nullptr) + : ov::frontend::NodeContext(decoder->get_op_type(node_idx)), + m_decoder(decoder), + m_tensor_map(tensor_map), + m_node_idx(node_idx), + m_translate_session(translate_session) { + m_input_names = decoder->get_input_names(m_node_idx); + m_output_names = decoder->get_output_names(m_node_idx); + } + + TranslateSession* get_translate_session() const { + return m_translate_session; + } + + const std::vector& get_input_names() const { return m_input_names; } + + size_t get_input_size() const override { + return m_decoder->get_input_size(m_node_idx); + } + + ov::element::Type get_input_type(size_t index) const { + return m_decoder->get_input_type(m_node_idx, m_input_names[index]); + } + + PartialShape get_input_shape(size_t input_index) const { + return m_decoder->get_input_shape(m_node_idx, m_input_names[input_index]); + } + + std::vector get_input_stride(size_t index) const { + return m_decoder->get_input_stride(m_node_idx, m_input_names[index]); + } + + std::string get_output_name() const { return m_output_names[0]; } + + PartialShape get_output_shape() const { return m_decoder->get_output_shape(m_node_idx); } + + int32_t* get_input_op_params(size_t index) const { + return m_decoder->get_input_op_params(m_node_idx, m_input_names[index]); + } + + int32_t * get_output_op_params() const { return m_decoder->get_output_op_params(m_node_idx); } + + ov::element::Type get_output_type() const { + return m_decoder->get_output_type(m_node_idx); + } + + Output get_input(int idx) const override { + return m_tensor_map->at(m_input_names[idx]); + } + + Output get_input(const std::string& name) const override { + if (m_tensor_map->find(name) == m_tensor_map->end()) { + throw std::runtime_error("'" + name + "' not found in tensor map."); + } + return m_tensor_map->at(name); + } + + bool has_input(const std::string& name) const { + return m_tensor_map->find(name) != m_tensor_map->end(); + } + + const std::string& get_name() const override { + return m_decoder->get_op_name(m_node_idx); + } + + ov::Any get_attribute_as_any(const std::string& name) const override { + return m_decoder->get_attribute(name); + } + + int get_op_case() const { + return m_decoder->get_op_case(m_node_idx); + } + + bool is_static() const { return m_decoder->is_static(); } + + bool is_stateful() const { return m_decoder->is_stateful(); } + +private: + std::shared_ptr m_decoder; + std::shared_ptr& m_tensor_map; + int m_node_idx; + TranslateSession* m_translate_session; + std::vector m_input_names; + std::vector m_output_names; +}; + +using CreatorFunction = std::function; + +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/op/cont.cpp b/ggml/src/ggml-openvino/openvino/op/cont.cpp new file mode 100644 index 0000000000..6160dd7444 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/op/cont.cpp @@ -0,0 +1,48 @@ + +#include "../node_context.h" +#include "../op_table.h" +#include "../utils.h" + +#include +#include +#include +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { +namespace op { + +OutputVector translate_cont(const NodeContext & context) { + num_inputs_check(context, 1, 1); + + int op_case = context.get_op_case(); + FRONT_END_CHECK_IMPLEMENTED(op_case == 1 || op_case == 2 || op_case == 3, "Unsupported CONT case"); + + auto src_shape = context.get_input_shape(0).to_shape(); + auto dst_shape = context.get_output_shape().to_shape(); + ov::Output res; + + if (op_case == 1) { + // The input comes from a PERMUTE + throw std::runtime_error("Code of this case might be outdated"); + dst_shape[1] = -1; + res = std::make_shared( + context.get_input(0), ov::op::v0::Constant::create(ov::element::i64, {dst_shape.size()}, dst_shape), false); + } else if (op_case == 2) { + // The input comes from a TRANSPOSE + return {context.get_input(0)}; + } else { + // The input comes from a VIEW + res = process_view_input(context, 0); + } + + return rename_outputs_with_suffix({res}, context.get_name()); +} + +} // namespace op +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/op/cpy.cpp b/ggml/src/ggml-openvino/openvino/op/cpy.cpp new file mode 100644 index 0000000000..831117208b --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/op/cpy.cpp @@ -0,0 +1,21 @@ +#include "../node_context.h" +#include "../op_table.h" +#include "../utils.h" + +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { +namespace op { + +OutputVector translate_cpy(const NodeContext & context) { + auto res = std::make_shared(context.get_input(0), context.get_output_type()); + return rename_outputs_with_suffix({res}, context.get_name()); +} + +} // namespace op +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/op/flash_attn_ext.cpp b/ggml/src/ggml-openvino/openvino/op/flash_attn_ext.cpp new file mode 100644 index 0000000000..42602a730a --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/op/flash_attn_ext.cpp @@ -0,0 +1,90 @@ +#include "../node_context.h" +#include "../op_table.h" +#include "../utils.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { +namespace op { + +OutputVector translate_flash_attn_ext(const NodeContext & context) { + num_inputs_check(context, 4, 4); + auto q_f32 = context.get_input(0); + auto k = context.get_input(1); + auto v = context.get_input(2); + auto mask = context.get_input(3); + + float * params = reinterpret_cast(context.get_output_op_params()); + float scale = params[0]; + // float max_bias = params[1]; + // float logit_softcap = params[2]; + + auto q = std::make_shared(q_f32, ov::element::f16); + auto scale_node = std::make_shared(ov::element::f16, ov::Shape{}, std::vector{scale}); + + ov::Output mask_sliced, res; + std::string mask_name = "KQ_mask_sliced"; + if (context.get_input_names()[3].find("swa") != std::string::npos) { + mask_name = "KQ_mask_swa_sliced"; + } + if (context.has_input(mask_name)) { + mask_sliced = context.get_input(mask_name); + } else { + auto zero = ov::op::v0::Constant::create(ov::element::i64, {1}, {0}); + auto one = ov::op::v0::Constant::create(ov::element::i64, {1}, {1}); + auto two = ov::op::v0::Constant::create(ov::element::i64, {1}, {2}); + auto token_len = get_dimensions(q, {2}); + mask_sliced = std::make_shared(mask, zero, token_len, one, two); + } + + if (mask_sliced.get_element_type() != ov::element::f16) { + mask_sliced = std::make_shared(mask_sliced, ov::element::f16); + } + + auto tile_kv = [&](int64_t num_heads, int64_t num_heads_kv, int64_t head_size, ov::Output kv) { + int64_t factor = num_heads / num_heads_kv; + if (factor > 1 && num_heads_kv > 1) { + ov::Output kv_broadcast_shape, kv_unsqueezed, new_kv_shape; + auto unsqueeze_axes = ov::op::v0::Constant::create(ov::element::i64, Shape{}, {2}); + kv_unsqueezed = std::make_shared(kv, unsqueeze_axes); + + kv_broadcast_shape = ov::op::v0::Constant::create( + ov::element::i64, {5}, {(int64_t) 1, (int64_t) 1, factor, (int64_t) 1, (int64_t) 1}); + new_kv_shape = + ov::op::v0::Constant::create(ov::element::i64, {4}, {(int64_t) 0, num_heads, (int64_t) -1, head_size}); + + kv = std::make_shared(kv_unsqueezed, kv_broadcast_shape, + ov::op::BroadcastType::BIDIRECTIONAL); + kv = std::make_shared(kv, new_kv_shape, true); + } + return kv; + }; + + auto q_shape = context.get_input_shape(0).to_shape(); + auto k_shape = context.get_input_shape(1).to_shape(); + k = tile_kv(q_shape[1], k_shape[1], q_shape[3], k); + v = tile_kv(q_shape[1], k_shape[1], q_shape[3], v); + + auto sdpa = std::make_shared(q, k, v, mask_sliced, scale_node, false); + res = std::make_shared(sdpa, + ov::op::v0::Constant::create(ov::element::i64, {4}, {0, 2, 1, 3})); + res = std::make_shared(res, ov::element::f32); + return rename_outputs_with_suffix({res}, context.get_name()); +} + +} // namespace op +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/op/get_rows.cpp b/ggml/src/ggml-openvino/openvino/op/get_rows.cpp new file mode 100644 index 0000000000..49f51b7ca3 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/op/get_rows.cpp @@ -0,0 +1,69 @@ +#include "../node_context.h" +#include "../op_table.h" +#include "../utils.h" + +#include +#include +#include +#include +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { +namespace op { + +OutputVector translate_get_rows(const NodeContext & context) { + num_inputs_check(context, 2, 2); + + int op_case = context.get_op_case(); + + Output res; + auto data = context.get_input(0); + auto indices = context.get_input(1); + + if (op_case == 2) { + // The input comes from a VIEW + indices = process_view_input(context, 1); + } + + // data[1,b,x,y] ind[1,1,b,x'] test-backend-ops case + // data[x,y] ind[1,1,1,x'] normal case + indices = + std::make_shared(indices, ov::op::v0::Constant::create(ov::element::i64, {2}, {0, 1})); + if (data.get_partial_shape().rank() == 4) { + if (!(data.get_partial_shape()[1].is_dynamic()) && data.get_partial_shape()[1].get_length() == 1) { + // Work-around for a bug in ov cpu plugin for test-backend-ops + data = std::make_shared(data, + ov::op::v0::Constant::create(ov::element::i64, {2}, {0, 1})); + auto axis = ov::op::v0::Constant::create(ov::element::i32, ov::Shape{}, {0}); + res = std::make_shared(data, indices, axis); + } else { + auto axis = ov::op::v0::Constant::create(ov::element::i32, ov::Shape{}, {1}); + data = + std::make_shared(data, ov::op::v0::Constant::create(ov::element::i64, {1}, {0})); + res = std::make_shared(data, indices, axis, 1); + } + } else if (context.is_stateful() && data.get_partial_shape().rank() == 3) { + auto axis = ov::op::v0::Constant::create(ov::element::i32, ov::Shape{}, {1}); + res = std::make_shared(data, indices, axis, 1); + } else { + auto axis = ov::op::v0::Constant::create(ov::element::i32, ov::Shape{}, {0}); + res = std::make_shared(data, indices, axis); + } + + if (res.get_element_type() != context.get_output_type()) { + res = std::make_shared(res, context.get_output_type()); + } + if (!(context.is_stateful())) { + res = std::make_shared(res, ov::op::v0::Constant::create(ov::element::i64, {1}, {0})); + } + return rename_outputs_with_suffix({res}, context.get_name()); +} + +} // namespace op +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/op/glu_geglu.cpp b/ggml/src/ggml-openvino/openvino/op/glu_geglu.cpp new file mode 100644 index 0000000000..d9fa4c2436 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/op/glu_geglu.cpp @@ -0,0 +1,61 @@ +#include "../node_context.h" +#include "../op_table.h" +#include "../utils.h" + +#include +#include +#include +#include +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { +namespace op { + +OutputVector translate_glu_geglu(const NodeContext & context) { + num_inputs_check(context, 1, 2); + + ov::Output src0; + ov::Output src1; + if (context.get_input_size() == 2) { + src0 = context.get_input(0); + src1 = context.get_input(1); + } else { + // GGML splits along ne[0] (OV last axis) using floor division: nc = ne[0] / 2. + // Both halves are nc elements; if the dimension is odd, the last element is dropped. + // Use Slice instead of Split to handle odd dimensions correctly. + auto combined = context.get_input(0); + auto combined_shape = combined.get_partial_shape(); + int64_t last_dim_val = combined_shape[combined_shape.rank().get_length() - 1].get_length(); + int64_t nc = last_dim_val / 2; + + auto axis = ov::op::v0::Constant::create(ov::element::i64, {1}, {-1}); + auto step = ov::op::v0::Constant::create(ov::element::i64, {1}, {1}); + auto start0 = ov::op::v0::Constant::create(ov::element::i64, {1}, {0}); + auto stop0 = ov::op::v0::Constant::create(ov::element::i64, {1}, {nc}); + auto start1 = ov::op::v0::Constant::create(ov::element::i64, {1}, {nc}); + auto stop1 = ov::op::v0::Constant::create(ov::element::i64, {1}, {2 * nc}); + + src0 = std::make_shared(combined, start0, stop0, step, axis); + src1 = std::make_shared(combined, start1, stop1, step, axis); + } + + int32_t * params = context.get_output_op_params(); + const int32_t swapped = params[1]; + if (swapped) { + std::swap(src0, src1); + } + + auto gelu = std::make_shared(src0); + auto res = std::make_shared(gelu, src1); + + return rename_outputs_with_suffix({res}, context.get_name()); +} + +} // namespace op +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/op/glu_swiglu.cpp b/ggml/src/ggml-openvino/openvino/op/glu_swiglu.cpp new file mode 100644 index 0000000000..00ed7951a0 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/op/glu_swiglu.cpp @@ -0,0 +1,62 @@ +#include "../node_context.h" +#include "../op_table.h" +#include "../utils.h" + +#include +#include +#include +#include +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { +namespace op { + +OutputVector translate_glu_swiglu(const NodeContext & context) { + num_inputs_check(context, 1, 2); + + ov::Output src0; + ov::Output src1; + if (context.get_input_size() == 2) { + src0 = context.get_input(0); + src1 = context.get_input(1); + } else { + // GGML splits along ne[0] (OV last axis) using floor division: nc = ne[0] / 2. + // Both halves are nc elements; if the dimension is odd, the last element is dropped. + // Use Slice instead of Split to handle odd dimensions correctly. + auto combined = context.get_input(0); + auto combined_shape = combined.get_partial_shape(); + int64_t last_dim_val = combined_shape[combined_shape.rank().get_length() - 1].get_length(); + int64_t nc = last_dim_val / 2; + + auto axis = ov::op::v0::Constant::create(ov::element::i64, {1}, {-1}); + auto step = ov::op::v0::Constant::create(ov::element::i64, {1}, {1}); + auto start0 = ov::op::v0::Constant::create(ov::element::i64, {1}, {0}); + auto stop0 = ov::op::v0::Constant::create(ov::element::i64, {1}, {nc}); + auto start1 = ov::op::v0::Constant::create(ov::element::i64, {1}, {nc}); + auto stop1 = ov::op::v0::Constant::create(ov::element::i64, {1}, {2 * nc}); + + src0 = std::make_shared(combined, start0, stop0, step, axis); + src1 = std::make_shared(combined, start1, stop1, step, axis); + } + + int32_t * params = context.get_output_op_params(); + const int32_t swapped = params[1]; + if (swapped) { + std::swap(src0, src1); + } + + auto sigmoid = std::make_shared(src0); + auto silu = std::make_shared(src0, sigmoid); + auto res = std::make_shared(silu, src1); + + return rename_outputs_with_suffix({res}, context.get_name()); +} + +} // namespace op +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/op/mulmat.cpp b/ggml/src/ggml-openvino/openvino/op/mulmat.cpp new file mode 100644 index 0000000000..38edec85dd --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/op/mulmat.cpp @@ -0,0 +1,90 @@ +#include "../node_context.h" +#include "../op_table.h" +#include "../utils.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { +namespace op { + +OutputVector translate_mulmat(const NodeContext & context) { + num_inputs_check(context, 2, 2); + + int op_case = context.get_op_case(); + + ov::Output res; + ov::Output B = context.get_input(0); + ov::Output A = context.get_input(1); + + bool transpose_b = true; + if (op_case == 2) { + B = B.get_node_shared_ptr()->input_value(0); + transpose_b = false; + } else if (op_case == 3) { + B = process_view_input(context, 0); + A = process_view_input(context, 1); + } + if (A.get_element_type() != B.get_element_type()) { + B = std::make_shared(context.get_input(0), context.get_input_type(1)); + } + + auto B_shape = context.get_input_shape(0).to_shape(); + auto A_shape = context.get_input_shape(1).to_shape(); + int64_t A_batch = A_shape[1]; + int64_t B_batch = B_shape[1]; + + auto A_batch_larger = A_batch > B_batch; + auto batch_large = A_batch_larger ? A_batch : B_batch; + auto batch_small = A_batch_larger ? B_batch : A_batch; + + Output Z = A_batch_larger ? B : A; + int64_t factor = batch_large / batch_small; + if (factor > 1 && batch_small > 1) { + auto batch_large_node = ov::op::v0::Constant::create(ov::element::i64, {1}, std::vector{batch_large}); + auto batch_small_node = ov::op::v0::Constant::create(ov::element::i64, {1}, std::vector{batch_small}); + auto factor_node = ov::op::v0::Constant::create(ov::element::i64, {1}, std::vector{factor}); + + auto unsqueeze_axes = ov::op::v0::Constant::create(ov::element::i64, Shape{}, {2}); + auto Z_unsqueezed = std::make_shared(Z, unsqueeze_axes); + + auto broadcast_shape = ov::op::v0::Constant::create( + ov::element::i64, {5}, {(int64_t) 1, (int64_t) 1, factor, (int64_t) 1, (int64_t) 1}); + auto new_Z_shape = ov::op::v0::Constant::create(ov::element::i64, {4}, + {(int64_t) 0, batch_large, (int64_t) -1, (int64_t) A_shape[3]}); + + auto Z_broadcasted = std::make_shared(Z_unsqueezed, broadcast_shape, + ov::op::BroadcastType::BIDIRECTIONAL); + Z = std::make_shared(Z_broadcasted, new_Z_shape, true); + } + if (A_batch_larger) { + B = Z; + } else { + A = Z; + } + + res = std::make_shared(A, B, false, transpose_b); + + return rename_outputs_with_suffix({res}, context.get_name()); +} + +} // namespace op +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/op/permute.cpp b/ggml/src/ggml-openvino/openvino/op/permute.cpp new file mode 100644 index 0000000000..4c800f9ee4 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/op/permute.cpp @@ -0,0 +1,102 @@ +#include "../node_context.h" +#include "../op_table.h" +#include "../utils.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { +namespace op { + +OutputVector translate_permute(const NodeContext & context) { + num_inputs_check(context, 1, 1); + + int op_case = context.get_op_case(); + FRONT_END_CHECK_IMPLEMENTED(op_case == 1 || op_case == 2 || op_case == 3 || op_case == 4, + "Unsupported PERMUTE case"); + + ov::Output res; + auto src = context.get_input(0); + auto perm = ov::op::v0::Constant::create(ov::element::i64, {4}, {0, 2, 1, 3}); + + if (op_case == 1 || context.is_stateful()) { + res = std::make_shared(src, perm); + } else if (op_case == 4) { + auto output_shape = context.get_output_shape().to_shape(); + auto n_heads = ov::op::v0::Constant::create(ov::element::i64, {1}, {output_shape[1]}); + auto head_size = ov::op::v0::Constant::create(ov::element::i64, {1}, {output_shape[3]}); + auto n_seq_active = context.has_input("n_seq_active") ? + context.get_input("n_seq_active") : + ov::op::v0::Constant::create(ov::element::i64, {1}, {output_shape[0]}); + auto neg_one = ov::op::v0::Constant::create(ov::element::i64, {1}, {-1}); + + auto new_shape = + std::make_shared(ov::OutputVector{n_seq_active, neg_one, n_heads, head_size}, 0); + + // // Alternative + // auto zero = ov::op::v0::Constant::create(ov::element::i64, {1}, {0}); + // auto new_shape = std::make_shared(ov::OutputVector{n_seq_active, neg_one, zero, zero}, 0); + + auto reshaped = std::make_shared(src, new_shape, true); + res = std::make_shared(reshaped, perm); + } else { + auto cache_shape = src.get_partial_shape(); + auto output_shape = context.get_output_shape().to_shape(); + int64_t head_size = output_shape[3]; + int64_t n_heads = output_shape[1]; + int64_t ctx_per_seq = cache_shape[2].is_static() ? cache_shape[2].get_length() : -1; + int64_t n_seq = cache_shape[1].get_length(); + + Output attention_size; + if (!context.has_input("attention_size")) { + attention_size = ov::op::v0::Constant::create(ov::element::i64, {1}, {output_shape[2]}); + } else if (op_case == 2) { + attention_size = context.get_input("attention_size"); + } else { + attention_size = context.get_input("attention_size_swa"); + } + + Output seq_active_start; + Output seq_active_end; + if (context.has_input("seq_active_start")) { + seq_active_start = context.get_input("seq_active_start"); + seq_active_end = context.get_input("seq_active_end"); + } else { + int64_t n_seq_active = output_shape[0]; + size_t offset = *((size_t *) context.get_input_op_params(0)); + int64_t seq_active_start_val = offset / context.get_input_stride(0)[0]; + int64_t seq_active_end_val = seq_active_start_val + n_seq_active; + seq_active_start = ov::op::v0::Constant::create(ov::element::i64, {1}, {seq_active_start_val}); + seq_active_end = ov::op::v0::Constant::create(ov::element::i64, {1}, {seq_active_end_val}); + } + + // 1. reshape to [n_seq, ctx_per_seq, n_heads, head_size] + // 2. slice out the active sequences + // 3. slice out the attention part in each sequence + // 4. permute + auto zero = ov::op::v0::Constant::create(ov::element::i64, {1}, {0}); + auto one = ov::op::v0::Constant::create(ov::element::i64, {1}, {1}); + + auto src_reshaped = std::make_shared( + src, ov::op::v0::Constant::create(ov::element::i64, {4}, {n_seq, ctx_per_seq, n_heads, head_size}), false); + auto slice1 = std::make_shared(src_reshaped, seq_active_start, seq_active_end, one, zero); + auto slice2 = std::make_shared(slice1, zero, attention_size, one, one); + res = std::make_shared(slice2, perm); + } + return rename_outputs_with_suffix({res}, context.get_name()); +} + +} // namespace op +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/op/reshape.cpp b/ggml/src/ggml-openvino/openvino/op/reshape.cpp new file mode 100644 index 0000000000..efd9a5a860 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/op/reshape.cpp @@ -0,0 +1,83 @@ +#include "../node_context.h" +#include "../op_table.h" +#include "../utils.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { +namespace op { + +OutputVector translate_reshape(const NodeContext & context) { + num_inputs_check(context, 1, 1); + if (context.get_input_shape(0) == context.get_output_shape()) { + return {context.get_input(0)}; + } + + int op_case = context.get_op_case(); + FRONT_END_CHECK_IMPLEMENTED( + op_case == 1 || op_case == 2 || op_case == 3 || op_case == 4 || op_case == 5 || op_case == 6, + "Unsupported RESHAPE case"); + + auto output_shape = context.get_output_shape().to_shape(); + std::shared_ptr new_shape_node; + if (op_case == 1) { + if (context.is_stateful()) { + new_shape_node = ov::op::v0::Constant::create( + ov::element::i64, {3}, + std::vector{-1, (int64_t) output_shape[2], (int64_t) output_shape[3]}); + } else { + new_shape_node = ov::op::v0::Constant::create( + ov::element::i64, {4}, + std::vector{(int64_t) output_shape[0], -1, (int64_t) output_shape[2], (int64_t) output_shape[3]}); + } + } else if (op_case == 2) { + new_shape_node = ov::op::v0::Constant::create( + ov::element::i64, {4}, + std::vector{(int64_t) output_shape[0], (int64_t) output_shape[1], -1, (int64_t) output_shape[3]}); + + } else if (op_case == 3) { + throw std::runtime_error("might be outdated RESHAPE case"); + new_shape_node = ov::op::v0::Constant::create( + ov::element::i64, {4}, std::vector{(int64_t) output_shape[0], (int64_t) output_shape[1], -1, 1}); + + } else if (op_case == 4) { + return {context.get_input(0).get_node_shared_ptr()->input_value(0)}; + + } else if (op_case == 5) { + if (context.is_stateful()) { + std::vector shape_vec = {1, -1, (int64_t) context.get_output_shape().to_shape()[3]}; + new_shape_node = ov::op::v0::Constant::create(ov::element::i64, {3}, shape_vec); + } else { + std::vector shape_vec = {1, 1, -1, (int64_t) context.get_output_shape().to_shape()[3]}; + new_shape_node = ov::op::v0::Constant::create(ov::element::i64, {4}, shape_vec); + } + + // // Alternative + // auto token_len = context.get_input("token_len"); + // auto emb_size = + // ov::op::v0::Constant::create(ov::element::i64, {1}, {(int64_t) context.get_output_shape().to_shape()[3]}); + // auto one = ov::op::v0::Constant::create(ov::element::i64, {1}, {1}); + // new_shape_node = std::make_shared(ov::OutputVector{one, one, token_len, emb_size}, 0); + + } else if (op_case == 6) { + new_shape_node = ov::op::v0::Constant::create(ov::element::i64, {4}, context.get_output_shape().to_shape()); + } + auto res = std::make_shared(context.get_input(0), new_shape_node, false); + return rename_outputs_with_suffix({res}, context.get_name()); +} + +} // namespace op +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/op/rms_norm.cpp b/ggml/src/ggml-openvino/openvino/op/rms_norm.cpp new file mode 100644 index 0000000000..72cf92283e --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/op/rms_norm.cpp @@ -0,0 +1,46 @@ +#include "../node_context.h" +#include "../op_table.h" +#include "../utils.h" + +#include +#include +#include +#include +#include +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { +namespace op { + +OutputVector translate_rms_norm(const NodeContext & context) { + num_inputs_check(context, 1, 1); + + auto input_node = context.get_input(0); + auto square = std::make_shared( + input_node, ov::op::v0::Constant::create(ov::element::f32, ov::Shape{1}, {2.0f})); + + auto mean = std::make_shared( + square, ov::op::v0::Constant::create(ov::element::i64, ov::Shape{1}, {-1}), true); + + float eps; + memcpy(&eps, context.get_output_op_params(), sizeof(float)); + + auto rms = std::make_shared( + std::make_shared(mean, ov::op::v0::Constant::create(ov::element::f32, ov::Shape{1}, {eps}))); + + auto reciprocal = + std::make_shared(ov::op::v0::Constant::create(ov::element::f32, ov::Shape{1}, {1.0f}), rms); + + auto res = std::make_shared(input_node, reciprocal); + + return rename_outputs_with_suffix({res}, context.get_name()); +} + +} // namespace op +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/op/rope.cpp b/ggml/src/ggml-openvino/openvino/op/rope.cpp new file mode 100644 index 0000000000..26dc2d24f8 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/op/rope.cpp @@ -0,0 +1,123 @@ +#include "../node_context.h" +#include "../op_table.h" +#include "../utils.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { +namespace op { + +OutputVector translate_rope(const NodeContext & context) { + num_inputs_check(context, 2, 3); + + int op_case = context.get_op_case(); + + ov::Output res; + + auto data_node = context.get_input(0).get_node_shared_ptr(); + auto output_shape = context.get_output_shape().to_shape(); + int32_t * op_params = context.get_output_op_params(); + + Output cos_theta_node; + Output sin_theta_node; + if (context.has_input("rope_cos")) { + cos_theta_node = context.get_input("rope_cos"); + sin_theta_node = context.get_input("rope_sin"); + } else { + auto inp_pos = context.get_input(1).get_node_shared_ptr(); + std::shared_ptr rope_freqs_weight; + if (context.get_input_size() == 3) { + rope_freqs_weight = context.get_input(2).get_node_shared_ptr(); + } + auto sin_cos = make_sin_cos(op_params, inp_pos, rope_freqs_weight); + sin_theta_node = sin_cos.first; + cos_theta_node = sin_cos.second; + } + + if (op_case == 2) { + // The input comes from a VIEW + int slice_len = output_shape[2] * output_shape[3]; + data_node = process_view_input(context, 0, slice_len).get_node_shared_ptr(); + if (context.is_stateful()) { + auto data_shape = ov::op::v0::Constant::create( + ov::element::i64, {3}, std::vector{-1, (int64_t) output_shape[2], (int64_t) output_shape[3]}); + data_node = std::make_shared(data_node, data_shape, false); + } else { + auto data_shape = ov::op::v0::Constant::create( + ov::element::i64, {4}, std::vector{1, -1, (int64_t) output_shape[2], (int64_t) output_shape[3]}); + data_node = std::make_shared(data_node, data_shape, false); + } + } + + const int mode = op_params[2]; + constexpr int ROPE_TYPE_NORMAL = 0; + constexpr int ROPE_TYPE_NEOX = 2; + + if (mode == ROPE_TYPE_NORMAL) { + auto neg_one = ov::op::v0::Constant::create(ov::element::i64, {1}, {-1}); + auto zero = ov::op::v0::Constant::create(ov::element::i64, {1}, {0}); + auto one = ov::op::v0::Constant::create(ov::element::i64, {1}, {1}); + auto two = ov::op::v0::Constant::create(ov::element::i64, {1}, {2}); + auto end = ov::op::v0::Constant::create(ov::element::i64, {1}, {output_shape[3]}); + Output even_slice; + Output odd_slice; + int32_t unsqueeze_dim = context.is_stateful() ? 3 : 4; + even_slice = std::make_shared(data_node, zero, end, two, neg_one); + odd_slice = std::make_shared(data_node, one, end, two, neg_one); + + Output first_half = + std::make_shared(std::make_shared(even_slice, cos_theta_node), + std::make_shared(odd_slice, sin_theta_node)); + Output second_half = + std::make_shared(std::make_shared(even_slice, sin_theta_node), + std::make_shared(odd_slice, cos_theta_node)); + + first_half = std::make_shared(first_half, + ov::op::v0::Constant::create(ov::element::i64, {1}, {unsqueeze_dim})); + second_half = std::make_shared(second_half, + ov::op::v0::Constant::create(ov::element::i64, {1}, {unsqueeze_dim})); + auto stack = std::make_shared(OutputVector{first_half, second_half}, unsqueeze_dim); + + auto data_shape = ov::op::v0::Constant::create( + ov::element::i64, {4}, std::vector{1, -1, (int64_t) output_shape[2], (int64_t) output_shape[3]}); + res = std::make_shared(stack, data_shape, false); + } else if (mode == ROPE_TYPE_NEOX) { + auto data_split = std::make_shared( + data_node, ov::op::v0::Constant::create(ov::element::i64, ov::Shape{}, {-1}), 2); + Output slice_data_node_0 = data_split->outputs()[0]; + Output slice_data_node_1 = data_split->outputs()[1]; + + auto first_half_node = std::make_shared( + std::make_shared(slice_data_node_0, cos_theta_node), + std::make_shared(slice_data_node_1, sin_theta_node)); + + auto second_half_node = std::make_shared( + std::make_shared(slice_data_node_0, sin_theta_node), + std::make_shared(slice_data_node_1, cos_theta_node)); + + res = std::make_shared(ov::OutputVector{first_half_node, second_half_node}, -1); + } + + return rename_outputs_with_suffix({res}, context.get_name()); +} + +} // namespace op +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/op/scale.cpp b/ggml/src/ggml-openvino/openvino/op/scale.cpp new file mode 100644 index 0000000000..0f3d800c19 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/op/scale.cpp @@ -0,0 +1,41 @@ +#include "../node_context.h" +#include "../op_table.h" +#include "../utils.h" + +#include +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { +namespace op { + +OutputVector translate_scale(const NodeContext & context) { + num_inputs_check(context, 1, 1); + + float scale; + float bias; + memcpy(&scale, (float *) context.get_output_op_params() + 0, sizeof(float)); + memcpy(&bias, (float *) context.get_output_op_params() + 1, sizeof(float)); + + auto scale_node = std::make_shared(ov::element::f32, ov::Shape{}, std::vector{scale}); + auto scaled = std::make_shared(context.get_input(0), scale_node); + + std::shared_ptr res; + if (bias != 0.0f) { + auto bias_node = + std::make_shared(ov::element::f32, ov::Shape{}, std::vector{bias}); + res = std::make_shared(scaled, bias_node); + } else { + res = scaled; + } + + return rename_outputs_with_suffix({res}, context.get_name()); +} + +} // namespace op +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/op/set_rows.cpp b/ggml/src/ggml-openvino/openvino/op/set_rows.cpp new file mode 100644 index 0000000000..136e4265b4 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/op/set_rows.cpp @@ -0,0 +1,76 @@ +#include "../node_context.h" +#include "../op_table.h" +#include "../utils.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { +namespace op { + +OutputVector translate_set_rows(const NodeContext & context) { + num_inputs_check(context, 3, 3); + + auto data = context.get_input(0); + auto indices = context.get_input(1); + auto dst = context.get_input(2); + + data = std::make_shared(data, context.get_output_type()); + + auto dst_shape = context.get_output_shape().to_shape(); + + auto ind_squeezed = + std::make_shared(indices, ov::op::v0::Constant::create(ov::element::i64, {3}, {0, 1, 2})); + auto data_reshaped = std::make_shared( + data, + ov::op::v0::Constant::create(ov::element::i64, {4}, + {(int64_t) 1, (int64_t) 1, (int64_t) -1, (int64_t) dst_shape[3]}), + false); + auto axes = ov::op::v0::Constant::create(ov::element::i64, ov::Shape{}, {2}); + + Output res; + if (context.is_stateful()) { + int concat_axis = 1; + int64_t dim2 = dst.get_partial_shape()[2].get_length(); + int64_t dim3 = dst.get_partial_shape()[3].get_length(); + data = std::make_shared( + data, ov::op::v0::Constant::create(ov::element::i64, {4}, {(int64_t) 1, (int64_t) -1, dim2, dim3}), false); + res = std::make_shared(OutputVector{dst, data}, concat_axis); + } else { + res = std::make_shared(dst, ind_squeezed, data_reshaped, axes); + } + + if (auto dst_reshape = std::dynamic_pointer_cast(dst.get_node_shared_ptr())) { + // Fix the case of multiple sequences, reshape back to original shape [1, n_seq, ctx_per_seq, emb] + // ctx_per_seq is not fixed due to llama-bench compatibility + auto dst_shape_partial = dst_reshape->get_input_partial_shape(0); + std::vector dst_shape = {dst_shape_partial[0].get_length(), dst_shape_partial[1].get_length(), + dst_shape_partial[2].is_static() ? dst_shape_partial[2].get_length() : -1, + dst_shape_partial[3].get_length()}; + res = std::make_shared(res, ov::op::v0::Constant::create(ov::element::i64, {4}, dst_shape), + false); + } + return rename_outputs_with_suffix({res}, context.get_name()); +} + +} // namespace op +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/op/softmax.cpp b/ggml/src/ggml-openvino/openvino/op/softmax.cpp new file mode 100644 index 0000000000..9f6330862b --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/op/softmax.cpp @@ -0,0 +1,89 @@ +#include "../node_context.h" +#include "../op_table.h" +#include "../utils.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { +namespace op { + +OutputVector translate_soft_max(const NodeContext & context) { + // TODO code is outdated + num_inputs_check(context, 1, 2); + + auto input_node = context.get_input(0).get_node_shared_ptr(); + ov::Output res; + + float scale = 1.0f; + float max_bias = 0.0f; + auto * op_params = context.get_output_op_params(); + memcpy(&scale, (float *) op_params + 0, sizeof(float)); + memcpy(&max_bias, (float *) op_params + 1, sizeof(float)); + auto src0_shape = context.get_input_shape(0).get_shape(); + const uint32_t h = src0_shape[2]; + const uint32_t n_head = src0_shape[0]; + const uint32_t n_head_log2 = 1u << (uint32_t) floor(log2(n_head)); + + const float m0 = powf(2.0f, -(max_bias) / n_head_log2); + const float m1 = powf(2.0f, -(max_bias / 2.0f) / n_head_log2); + const float slope = + (max_bias > 0.0f) ? h < n_head_log2 ? powf(m0, h + 1) : powf(m1, 2 * (h - n_head_log2) + 1) : 1.0f; + + auto scale_node = std::make_shared(ov::element::f32, ov::Shape{}, std::vector{scale}); + auto scaled_input = std::make_shared(input_node, scale_node); + + if (context.get_input_size() < 2) { + res = std::make_shared(scaled_input, 2); + return rename_outputs_with_suffix({res}, context.get_name()); + } + + ov::Output mask_node_sliced; + if (context.has_input("KQ_mask_sliced")) { + mask_node_sliced = context.get_input("KQ_mask_sliced"); + } else { + auto token_len = get_dimensions(input_node, {1}); + auto mask_node = context.get_input(1); + auto zero = ov::op::v0::Constant::create(ov::element::i64, {1}, {0}); + auto one = ov::op::v0::Constant::create(ov::element::i64, {1}, {1}); + mask_node_sliced = std::make_shared(mask_node, zero, token_len, one, one); + } + + if (mask_node_sliced.get_element_type() != context.get_output_type()) { + mask_node_sliced = std::make_shared(mask_node_sliced, context.get_output_type()); + } + + Output slope_mask; + if (slope != 1.0f) { + auto slope_node = + std::make_shared(ov::element::f32, ov::Shape{}, std::vector{slope}); + slope_mask = std::make_shared(mask_node_sliced, slope_node); + throw std::runtime_error("Slope != 1.0f in softmax has not been tested, verify it before use."); + } + slope_mask = mask_node_sliced; + + auto input_slope_mask_node = std::make_shared(scaled_input, slope_mask); + + res = std::make_shared(input_slope_mask_node, 2); + + return rename_outputs_with_suffix({res}, context.get_name()); +} + +} // namespace op +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/op/transpose.cpp b/ggml/src/ggml-openvino/openvino/op/transpose.cpp new file mode 100644 index 0000000000..8e62e83c0d --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/op/transpose.cpp @@ -0,0 +1,23 @@ +#include "../node_context.h" +#include "../op_table.h" +#include "../utils.h" + +#include + +namespace ov { +namespace frontend { +namespace ggml { +namespace op { + +OutputVector translate_transpose(const NodeContext & context) { + num_inputs_check(context, 1, 1); + + auto res = std::make_shared( + context.get_input(0), ov::op::v0::Constant::create(ov::element::i64, {4}, {0, 1, 3, 2})); + return rename_outputs_with_suffix({res}, context.get_name()); +} + +} // namespace op +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/op/unary_silu.cpp b/ggml/src/ggml-openvino/openvino/op/unary_silu.cpp new file mode 100644 index 0000000000..037e0b94df --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/op/unary_silu.cpp @@ -0,0 +1,27 @@ +#include "../node_context.h" +#include "../op_table.h" +#include "../utils.h" + +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { +namespace op { + +OutputVector translate_unary_silu(const NodeContext & context) { + num_inputs_check(context, 1, 1); + + auto input = context.get_input(0); + auto sigmoid = std::make_shared(input); + auto res = std::make_shared(input, sigmoid); + + return rename_outputs_with_suffix({res}, context.get_name()); +} + +} // namespace op +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/op/view.cpp b/ggml/src/ggml-openvino/openvino/op/view.cpp new file mode 100644 index 0000000000..8528d25233 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/op/view.cpp @@ -0,0 +1,53 @@ +#include "../op_table.h" +#include "../utils.h" +#include +namespace ov { +namespace frontend { +namespace ggml { +namespace op { + +OutputVector translate_view(const NodeContext & context) { + num_inputs_check(context, 1, 1); + + if (context.get_op_case() == 2) { + auto dst_shape = context.get_output_shape().to_shape(); + return rename_outputs_with_suffix({process_view_input(context, 0, dst_shape[2] * dst_shape[3])}, + context.get_name()); + } + // op_case 3 + if (context.get_op_case() == 3) { + auto input = context.get_input(0); + auto input_ov_shape = input.get_partial_shape(); + + auto input_llama_shape = context.get_input_shape(0).to_shape(); + + // if the input ov shape size is different from the input llama shape size, it means the input is already reshaped and we need to reshape it back to the original shape before slicing + if (input_ov_shape.size() != input_llama_shape.size()) { + input = std::make_shared(input, ov::op::v0::Constant::create(ov::element::i64, {input_llama_shape.size()}, input_llama_shape), false); + } + + auto dst_shape = context.get_output_shape().to_shape(); + + // find the index of dst_shape that is different from input shape, and use that index to slice the input + int slice_dim = -1; + for (size_t i = 0; i < dst_shape.size(); ++i) { + if (dst_shape[i] != input_llama_shape[i]) { + slice_dim = i; + break; + } + } + + auto begin = ov::op::v0::Constant::create(ov::element::i64, {1}, {0}); + auto end = ov::op::v0::Constant::create(ov::element::i64, {1}, {dst_shape[slice_dim]}); + auto stride = ov::op::v0::Constant::create(ov::element::i64, {1}, {1}); + auto axes = ov::op::v0::Constant::create(ov::element::i64, {1}, {slice_dim}); + auto sliced = std::make_shared(input, begin, end, stride, axes); + return {sliced}; + } + return {context.get_input(0)}; +} + +} // namespace op +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/op_table.cpp b/ggml/src/ggml-openvino/openvino/op_table.cpp new file mode 100644 index 0000000000..beadafe810 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/op_table.cpp @@ -0,0 +1,46 @@ +#include "op_table.h" + +#include "utils.h" + +#include +#include +#include +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { + +std::unordered_map get_supported_ops() { + using namespace ov::op; + return { + {"GGML_OP_ADD", op::translate_1to1_match_2_inputs }, + {"GGML_OP_ADD1", op::translate_1to1_match_2_inputs }, + {"GGML_OP_CONT", op::translate_cont }, + {"GGML_OP_DIV", op::translate_1to1_match_2_inputs }, + {"GGML_OP_GET_ROWS", op::translate_get_rows }, + {"GGML_OP_MUL", op::translate_1to1_match_2_inputs}, + {"GGML_OP_MUL_MAT", op::translate_mulmat }, + {"GGML_OP_PERMUTE", op::translate_permute }, + {"GGML_OP_RESHAPE", op::translate_reshape }, + {"GGML_OP_RMS_NORM", op::translate_rms_norm }, + {"GGML_OP_ROPE", op::translate_rope }, + {"GGML_OP_SCALE", op::translate_scale }, + {"GGML_OP_SOFT_MAX", op::translate_soft_max }, + {"GGML_OP_SUB", op::translate_1to1_match_2_inputs}, + {"GGML_OP_TRANSPOSE", op::translate_transpose }, + {"GGML_UNARY_OP_SILU", op::translate_unary_silu }, + {"GGML_OP_VIEW", op::translate_view }, + {"GGML_GLU_OP_SWIGLU", op::translate_glu_swiglu }, + {"GGML_GLU_OP_GEGLU", op::translate_glu_geglu }, + {"GGML_OP_SET_ROWS", op::translate_set_rows }, + {"GGML_OP_CPY", op::translate_cpy }, + {"GGML_OP_FLASH_ATTN_EXT", op::translate_flash_attn_ext }, + }; +} + +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/op_table.h b/ggml/src/ggml-openvino/openvino/op_table.h new file mode 100644 index 0000000000..37f763117a --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/op_table.h @@ -0,0 +1,39 @@ +#pragma once + +#include "node_context.h" + +namespace ov { +namespace frontend { +namespace ggml { + +namespace op { + +#define GGML_OP_CONVERTER(op) OutputVector op(const NodeContext& context) + +GGML_OP_CONVERTER(translate_add); +GGML_OP_CONVERTER(translate_cont); +GGML_OP_CONVERTER(translate_get_rows); +GGML_OP_CONVERTER(translate_mul); +GGML_OP_CONVERTER(translate_mulmat); +GGML_OP_CONVERTER(translate_permute); +GGML_OP_CONVERTER(translate_reshape); +GGML_OP_CONVERTER(translate_rms_norm); +GGML_OP_CONVERTER(translate_rope); +GGML_OP_CONVERTER(translate_scale); +GGML_OP_CONVERTER(translate_unary_silu); +GGML_OP_CONVERTER(translate_soft_max); +GGML_OP_CONVERTER(translate_transpose); +GGML_OP_CONVERTER(translate_view); +GGML_OP_CONVERTER(translate_glu_swiglu); +GGML_OP_CONVERTER(translate_glu_geglu); +GGML_OP_CONVERTER(translate_set_rows); +GGML_OP_CONVERTER(translate_cpy); +GGML_OP_CONVERTER(translate_flash_attn_ext); + +} // namespace op + +std::unordered_map get_supported_ops(); + +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/pass/eliminate_zp.cpp b/ggml/src/ggml-openvino/openvino/pass/eliminate_zp.cpp new file mode 100644 index 0000000000..ed2a3ab6d1 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/pass/eliminate_zp.cpp @@ -0,0 +1,123 @@ +#include "eliminate_zp.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { +namespace pass { + +EliminateZeroPoints::EliminateZeroPoints() { + // Find pattern: + // (Multiply Any(scale) + // (Subtract (Convert Constant(data))) + // (Convert Constant(zero_point))) + // where zero_point is a scalar + // If data is u4 and zp value is 8 (q4_0), Replace the Subtract with an i4 Constant whose value is data - zp_val + // If data is u8 and zp value is 128 (q8_0) or 32 (q6_k), Replace the Subtract with an i8 Constant + + auto m_data_constant = ov::pass::pattern::wrap_type(); + auto m_data_convert = ov::pass::pattern::wrap_type({m_data_constant}); + + auto m_zp_constant = ov::pass::pattern::wrap_type(); + auto m_zp_convert = ov::pass::pattern::wrap_type({m_zp_constant}); + + auto m_subtract = ov::pass::pattern::wrap_type({m_data_convert, m_zp_convert}); + auto m_scale = ov::pass::pattern::any_input(); + auto m_multiply = ov::pass::pattern::wrap_type({m_scale, m_subtract}); + + const auto callback = [=](ov::pass::pattern::Matcher & m) { + const auto & pattern_map = m.get_pattern_value_map(); + + auto multiply_node = + std::dynamic_pointer_cast(pattern_map.at(m_multiply).get_node_shared_ptr()); + auto subtract_node = + std::dynamic_pointer_cast(pattern_map.at(m_subtract).get_node_shared_ptr()); + auto data_constant = + std::dynamic_pointer_cast(pattern_map.at(m_data_constant).get_node_shared_ptr()); + auto zp_constant = + std::dynamic_pointer_cast(pattern_map.at(m_zp_constant).get_node_shared_ptr()); + + if (!multiply_node || !subtract_node || !data_constant || !zp_constant) { + return false; + } + + if (ov::shape_size(zp_constant->get_shape()) != 1) { + return false; + } + + auto data_type = data_constant->get_element_type(); + auto zp_data = zp_constant->cast_vector(); + + if (zp_data.empty()) { + return false; + } + + int zp_value = zp_data[0]; + + bool should_eliminate = false; + ov::element::Type target_type; + + if (data_type == ov::element::u4 && zp_value == 8) { + should_eliminate = true; + target_type = ov::element::i4; + } else if (data_type == ov::element::u8 && (zp_value == 128 || zp_value == 32)) { + should_eliminate = true; + target_type = ov::element::i8; + } + + if (!should_eliminate) { + return false; + } + + auto data_shape = data_constant->get_shape(); + size_t total_elements = ov::shape_size(data_shape); + + std::shared_ptr new_constant; + + // TODO improve performance + if (data_type == ov::element::u4) { + auto data_values = data_constant->cast_vector(); + std::vector adjusted_values(total_elements); + + ov::parallel_for(total_elements, [&](size_t i) { + adjusted_values[i] = static_cast(static_cast(data_values[i]) - 8); + }); + + new_constant = std::make_shared(target_type, data_shape, adjusted_values); + } else if (data_type == ov::element::u8) { + auto data_values = data_constant->cast_vector(); + std::vector adjusted_values(total_elements); + + ov::parallel_for(total_elements, [&, zp_value](size_t i) { + adjusted_values[i] = static_cast(static_cast(data_values[i]) - zp_value); + }); + + new_constant = std::make_shared(target_type, data_shape, adjusted_values); + } + + auto new_convert = + std::make_shared(new_constant, subtract_node->get_output_element_type(0)); + ov::replace_node(subtract_node, new_convert); + + return true; + }; + + register_matcher( + std::make_shared(m_multiply, "ov::frontend::ggml::pass::EliminateZeroPoints"), + callback); +} + +} // namespace pass +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/pass/eliminate_zp.h b/ggml/src/ggml-openvino/openvino/pass/eliminate_zp.h new file mode 100644 index 0000000000..edd3cd718d --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/pass/eliminate_zp.h @@ -0,0 +1,17 @@ +#include "openvino/pass/matcher_pass.hpp" + +namespace ov { +namespace frontend { +namespace ggml { +namespace pass { + +class EliminateZeroPoints : public ov::pass::MatcherPass { +public: + OPENVINO_MATCHER_PASS_RTTI("ov::frontend::ggml::pass::EliminateZeroPoints") + EliminateZeroPoints(); +}; + +} // namespace pass +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/pass/fuse_to_sdpa.cpp b/ggml/src/ggml-openvino/openvino/pass/fuse_to_sdpa.cpp new file mode 100644 index 0000000000..0671542ee3 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/pass/fuse_to_sdpa.cpp @@ -0,0 +1,60 @@ +#include "fuse_to_sdpa.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { +namespace pass { + +FuseToSDPA::FuseToSDPA() { + // Not maintained since FLASH_ATTN_EXT has replaced this pattern + const auto m_k = ov::pass::pattern::any_input(); + const auto m_q = ov::pass::pattern::any_input(); + const auto m_qk = ov::pass::pattern::wrap_type({m_q, m_k}); + const auto m_qk_f32 = ov::pass::pattern::wrap_type({m_qk}); + const auto m_scale = ov::pass::pattern::any_input(); + const auto m_scaled_qk = ov::pass::pattern::wrap_type({m_qk_f32, m_scale}); + const auto m_mask = ov::pass::pattern::any_input(); + const auto m_masked_qk = ov::pass::pattern::wrap_type({m_scaled_qk, m_mask}); + const auto m_softmax_qk = ov::pass::pattern::wrap_type({m_masked_qk}); + const auto m_softmax_qk_f16 = ov::pass::pattern::wrap_type({m_softmax_qk}); + const auto m_v = ov::pass::pattern::any_input(); + const auto m_qkv = ov::pass::pattern::wrap_type({m_softmax_qk_f16, m_v}); + + const auto callback = [=](ov::pass::pattern::Matcher & m) { + auto & pattern_to_output = m.get_pattern_value_map(); + auto k = pattern_to_output[m_k]; + auto q = pattern_to_output[m_q]; + auto v = pattern_to_output[m_v]; + auto mask = pattern_to_output[m_mask]; + auto scale = pattern_to_output[m_scale]; + + auto mask_f16 = register_new_node(mask, ov::element::f16); + auto scale_f16 = register_new_node(scale, ov::element::f16); + auto sdpa = std::make_shared(q, k, v, mask_f16, scale_f16, false); + + ov::replace_node(m.get_match_root(), sdpa); + ov::copy_runtime_info(m.get_matched_nodes(), sdpa); + + return true; + }; + register_matcher(std::make_shared(m_qkv, "ov::frontend::ggml::pass::FuseToSDPA"), + callback); +} + +} // namespace pass +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/pass/fuse_to_sdpa.h b/ggml/src/ggml-openvino/openvino/pass/fuse_to_sdpa.h new file mode 100644 index 0000000000..8b5164d232 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/pass/fuse_to_sdpa.h @@ -0,0 +1,17 @@ +#include "openvino/pass/matcher_pass.hpp" + +namespace ov { +namespace frontend { +namespace ggml { +namespace pass { + +class FuseToSDPA : public ov::pass::MatcherPass { +public: + OPENVINO_MATCHER_PASS_RTTI("ov::frontend::ggml::pass::FuseToSDPA") + FuseToSDPA(); +}; + +} // namespace pass +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/pass/mark_decompression_convert_constant_folding.h b/ggml/src/ggml-openvino/openvino/pass/mark_decompression_convert_constant_folding.h new file mode 100644 index 0000000000..b95385611e --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/pass/mark_decompression_convert_constant_folding.h @@ -0,0 +1,29 @@ +#pragma once + +#include "mark_decompression_convert_constant_folding.h" +#include "openvino/pass/matcher_pass.hpp" +#include "openvino/core/visibility.hpp" + +#ifdef OPENVINO_STATIC_LIBRARY +# define TRANSFORMATIONS_API +#else +# ifdef IMPLEMENT_OPENVINO_API +# define TRANSFORMATIONS_API OPENVINO_CORE_EXPORTS +# else +# define TRANSFORMATIONS_API OPENVINO_CORE_IMPORTS +# endif // IMPLEMENT_OPENVINO_API +#endif // OPENVINO_STATIC_LIBRARY + +namespace ov { +namespace pass { + +class TRANSFORMATIONS_API MarkCompressedFloatConstants; + +} // namespace pass +} // namespace ov + +class ov::pass::MarkCompressedFloatConstants : public MatcherPass { +public: + OPENVINO_MATCHER_PASS_RTTI("MarkCompressedFloatConstants") + MarkCompressedFloatConstants(); +}; diff --git a/ggml/src/ggml-openvino/openvino/pass/squeeze_matmul.cpp b/ggml/src/ggml-openvino/openvino/pass/squeeze_matmul.cpp new file mode 100644 index 0000000000..20a3a37493 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/pass/squeeze_matmul.cpp @@ -0,0 +1,58 @@ +#include "squeeze_matmul.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include + +namespace opp = ov::pass::pattern; + +namespace ov { +namespace frontend { +namespace ggml { +namespace pass { + +// For quantized models, NPUW expects the activation to be 3d in DQ(DynamicQuantization) opt, e.g. DQMatMulGQ2i +SqueezeMatmul::SqueezeMatmul() { + auto m_act = opp::any_input(); + auto m_wei = opp::any_input(); + auto m_matmul = opp::wrap_type({m_act, m_wei}); + + const auto callback = [=](ov::pass::pattern::Matcher & m) { + const auto & pattern_map = m.get_pattern_value_map(); + auto matmul_node = + std::dynamic_pointer_cast(pattern_map.at(m_matmul).get_node_shared_ptr()); + auto act = pattern_map.at(m_act); + auto wei = pattern_map.at(m_wei); + auto act_shape = act.get_partial_shape(); + auto wei_shape = wei.get_partial_shape(); + if (act_shape.rank().is_dynamic() || wei_shape.rank().is_dynamic()) { + return false; + } + if (act_shape.rank().get_length() == 4 && wei_shape.rank().get_length() == 2) { + auto axis = ov::op::v0::Constant::create(ov::element::i64, ov::Shape{1}, {0}); + auto squeezed_act = std::make_shared(act, axis); + auto new_matmul = std::make_shared(squeezed_act, wei, matmul_node->get_transpose_a(), + matmul_node->get_transpose_b()); + auto unsqueezed_output = std::make_shared(new_matmul, axis); + unsqueezed_output->set_friendly_name(matmul_node->get_friendly_name()); + ov::copy_runtime_info(matmul_node, {squeezed_act, new_matmul, unsqueezed_output}); + ov::replace_node(matmul_node, unsqueezed_output); + return true; + } + return false; + }; + + register_matcher(std::make_shared(m_matmul, "ov::frontend::ggml::pass::SqueezeMatmul"), + callback); +} + +} // namespace pass +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/pass/squeeze_matmul.h b/ggml/src/ggml-openvino/openvino/pass/squeeze_matmul.h new file mode 100644 index 0000000000..f8fbc69d54 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/pass/squeeze_matmul.h @@ -0,0 +1,17 @@ +#include "openvino/pass/matcher_pass.hpp" + +namespace ov { +namespace frontend { +namespace ggml { +namespace pass { + +class SqueezeMatmul : public ov::pass::MatcherPass { +public: + OPENVINO_MATCHER_PASS_RTTI("ov::frontend::ggml::pass::SqueezeMatmul") + SqueezeMatmul(); +}; + +} // namespace pass +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/translate_session.cpp b/ggml/src/ggml-openvino/openvino/translate_session.cpp new file mode 100644 index 0000000000..23a1dea249 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/translate_session.cpp @@ -0,0 +1,293 @@ +#include "translate_session.h" + +#include "ggml-openvino/openvino/node_context.h" +#include "ggml-openvino/openvino/utils.h" +#include "input_model.h" +#include "pass/eliminate_zp.h" +#include "pass/mark_decompression_convert_constant_folding.h" +#include "pass/squeeze_matmul.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { + +using namespace ov::op; + +namespace { + +ov::pass::MakeStateful::ParamResPairs get_kv_param_res_pairs( + const std::shared_ptr & model, + const std::map & kv_param_res_names) { + ov::pass::MakeStateful::ParamResPairs pairs; + const auto & params = model->get_parameters(); + const auto & results = model->get_results(); + + for (const auto & param_res : kv_param_res_names) { + const auto & param_name = param_res.first; + const auto & res_name = param_res.second; + + auto param_it = std::find_if(params.begin(), params.end(), [&](const std::shared_ptr & node) { + return node->get_friendly_name() == param_name; + }); + + OPENVINO_ASSERT(param_it != params.end(), "The tensor name ", param_name, + " is not associated with any of " + "Parameters in the network."); + + auto res_it = std::find_if(results.begin(), results.end(), [&](const std::shared_ptr & node) { + return node->get_friendly_name() == res_name; + }); + + OPENVINO_ASSERT(res_it != results.end(), "The tensor name ", res_name, + " is not associated with any of " + "Results in the network."); + + std::shared_ptr param = *param_it; + std::shared_ptr res = *res_it; + pairs.emplace_back(param, res); + } + return pairs; +} + +void add_sliced_mask(TensorMap & tensor_map, GgmlDecoder & ggml_model_decoder) { + + auto create_sliced_mask = [&](const std::string & mask_name, const std::string & sliced_name, bool is_static) { + if ((tensor_map.find(mask_name) != tensor_map.end()) && + (tensor_map.find("token_len_per_seq") != tensor_map.end())) { + auto token_len_per_seq = tensor_map.at("token_len_per_seq").get_node_shared_ptr(); + auto mask = tensor_map.at(mask_name).get_node_shared_ptr(); + std::shared_ptr mask_sliced; + if (is_static) { + mask_sliced = mask; + } else if (ggml_model_decoder.is_stateful()) { + auto zero_2d = ov::op::v0::Constant::create(ov::element::i64, {2}, {0,0}); + auto one_2d = ov::op::v0::Constant::create(ov::element::i64, {2}, {1,1}); + auto zero_1d = ov::op::v0::Constant::create(ov::element::i64, {1}, {0}); + auto three_1d = ov::op::v0::Constant::create(ov::element::i64, {1}, {3}); + auto neg_one_1d = ov::op::v0::Constant::create(ov::element::i64, {1}, {-1}); + auto axes = ov::op::v0::Constant::create(ov::element::i64, {2}, {-2,-1}); + auto inp_pos = tensor_map.at("inp_pos").get_node_shared_ptr(); + auto gather_inp_pos = std::make_shared(inp_pos, neg_one_1d, three_1d); + auto reshaped_inp_pos = std::make_shared(gather_inp_pos, ov::op::v0::Constant::create(ov::element::i64, {1}, {1}), false); + auto inp_pos_incremented = std::make_shared(reshaped_inp_pos, ov::op::v0::Constant::create(ov::element::i32, ov::Shape{1}, {1})); + auto stop = std::make_shared(ov::OutputVector{token_len_per_seq, std::make_shared(inp_pos_incremented, token_len_per_seq)}, 0); + mask_sliced = + std::make_shared(mask, zero_2d, stop, one_2d, axes); + mask_sliced = std::make_shared(mask_sliced, ov::element::f16); + mask_sliced->set_friendly_name(sliced_name); + } else { + auto zero = ov::op::v0::Constant::create(ov::element::i64, {1}, {0}); + auto one = ov::op::v0::Constant::create(ov::element::i64, {1}, {1}); + auto two = ov::op::v0::Constant::create(ov::element::i64, {1}, {2}); + mask_sliced = std::make_shared(mask, zero, token_len_per_seq, one, two); + mask_sliced = std::make_shared(mask_sliced, ov::element::f16); + mask_sliced->set_friendly_name(sliced_name); + } + tensor_map.insert({sliced_name, mask_sliced->output(0)}); + } + }; + + create_sliced_mask("self_kq_mask", "KQ_mask_sliced", ggml_model_decoder.is_static()); + create_sliced_mask("self_kq_mask_swa", "KQ_mask_swa_sliced", ggml_model_decoder.is_static()); +} + +void add_rope_sin_cos(TensorMap & tensor_map, GgmlDecoder & ggml_model_decoder) { + int32_t * rope_params = ggml_model_decoder.get_rope_params(); + if (tensor_map.find("inp_pos") == tensor_map.end() || rope_params == nullptr) { + return; + } + auto inp_pos = tensor_map.at("inp_pos").get_node_shared_ptr(); + std::shared_ptr rope_freqs_weight; + if (tensor_map.find("rope_freqs.weight") != tensor_map.end()) { + rope_freqs_weight = tensor_map.at("rope_freqs.weight").get_node_shared_ptr(); + } + + auto sin_cos = make_sin_cos(rope_params, inp_pos, rope_freqs_weight); + auto sin_theta = sin_cos.first; + auto cos_theta = sin_cos.second; + + cos_theta.get_node_shared_ptr()->set_friendly_name("rope_cos"); + sin_theta.get_node_shared_ptr()->set_friendly_name("rope_sin"); + tensor_map.insert({"rope_cos", cos_theta}); + tensor_map.insert({"rope_sin", sin_theta}); +} + +// Create common patterns +void preprocess(TensorMap & tensor_map, GgmlDecoder & ggml_model_decoder) { + add_sliced_mask(tensor_map, ggml_model_decoder); + add_rope_sin_cos(tensor_map, ggml_model_decoder); +} + +} // namespace + +TranslateSession::TranslateSession(const frontend::InputModel::Ptr & input_model, + const std::unordered_map & translator_map, + bool naive) : + m_input_model(input_model), + m_translator_map(translator_map), + m_ov_model(nullptr), + m_naive(naive) {} + +std::shared_ptr TranslateSession::get_converted_model() { + if (m_ov_model) { + return m_ov_model; + } + m_ov_model = translate_graph(m_input_model); + return m_ov_model; +} + +std::shared_ptr TranslateSession::translate_graph(const frontend::InputModel::Ptr & input_model) { + ov::ParameterVector params; + ov::ResultVector results; + auto tensor_map = std::make_shared(); + std::shared_ptr resulting_model; + + const auto & ggml_model = std::dynamic_pointer_cast(input_model); + std::shared_ptr ggml_model_decoder = ggml_model->get_model_decoder(); + + for (const auto & it : ggml_model_decoder->get_model_inputs()) { + params.push_back(std::dynamic_pointer_cast(it.second)); + (*tensor_map)[it.first] = it.second; + } + + for (const auto & it : ggml_model_decoder->get_model_extra_inputs()) { + if (std::dynamic_pointer_cast(it.second)) { + params.push_back(std::dynamic_pointer_cast(it.second)); + } + (*tensor_map)[it.first] = it.second; + } + + for (const auto & it : ggml_model_decoder->get_model_weights()) { + (*tensor_map)[it.first] = it.second; + } + + auto node_visitor = [&](std::shared_ptr decoder, int node_idx) { + auto operation_type = decoder->get_op_type(node_idx); + if (operation_type == "GGML_OP_NONE") { + return; + } + + ov::OutputVector converted_outputs; + auto it = m_translator_map.find(operation_type); + FRONT_END_OP_CONVERSION_CHECK(it != m_translator_map.end(), "Translation for operation type ", operation_type, + " is not implemented."); + NodeContext node_context(decoder, tensor_map, node_idx, this); + converted_outputs = it->second(node_context); + + const auto & node_output_names = decoder->get_output_names(node_idx); + FRONT_END_OP_CONVERSION_CHECK(node_output_names.size() == converted_outputs.size(), "Number of ", + operation_type, " outputs greater than number of converted outputs, which are ", + node_output_names.size(), " and ", converted_outputs.size(), " respectively."); + + for (size_t i = 0; i < node_output_names.size(); ++i) { + auto output_name = node_output_names[i]; + if (i < converted_outputs.size() && converted_outputs[i].get_node_shared_ptr() != nullptr) { + (*tensor_map)[output_name] = converted_outputs[i]; + } + } + }; + + if (!m_naive) { + preprocess(*tensor_map, *ggml_model_decoder); + } + ggml_model_decoder->visit_subgraph(node_visitor); + + for (const auto & name : ggml_model_decoder->get_model_output_names()) { + FRONT_END_GENERAL_CHECK(tensor_map->find(name) != tensor_map->end(), + "Output name not found in tensor map: ", name); + auto result = std::make_shared(tensor_map->at(name)); + result->set_friendly_name(name); + results.push_back(result); + } + + ov::ParameterVector used_params; + for (const auto & param : params) { + if (!param->output(0).get_target_inputs().empty()) { + used_params.push_back(param); + } + } + // if (auto diff = params.size() - used_params.size()) { + // GGML_LOG_INFO("%zu parameters are not used in the model.", diff); + // } + resulting_model = std::make_shared(results, used_params); + + apply_transformations(resulting_model); + return resulting_model; +} + +std::shared_ptr TranslateSession::apply_transformations(std::shared_ptr model) { + auto ggml_model_decoder = std::dynamic_pointer_cast(m_input_model)->get_model_decoder(); + { + ov::pass::Manager manager; + manager.set_per_pass_validation(true); + manager.register_pass(); + + if (ggml_model_decoder->is_stateful()) { + const auto kv_param_res_names = ggml_model_decoder->get_kv_param_res_names(); + const auto kv_param_res_pairs = get_kv_param_res_pairs(model, kv_param_res_names); + manager.register_pass(kv_param_res_pairs); + } + + if (ggml_model_decoder->is_static()) { + manager.register_pass(); + manager.register_pass(); + } + manager.run_passes(model); + if (ggml_model_decoder->is_stateful()) { + auto output_names = ggml_model_decoder->get_model_output_names(); + std::map model_output_indexes; + for (size_t i=0; iget_output_size(); i++) { + auto output_friendly_name = model->output(i).get_node_shared_ptr()->get_friendly_name(); + auto output_id = model_output_indexes[output_friendly_name]; + auto model_output_shape = model->output(i).get_partial_shape(); + auto decoder_output_shape = ggml_model_decoder->get_output_shape(output_id); + if (model_output_shape.rank().is_static() && decoder_output_shape.rank().is_static() + && model_output_shape.rank().get_length() + 1 == decoder_output_shape.rank().get_length() + && decoder_output_shape[0].is_static() && decoder_output_shape[0].get_length() == 1) { + ppp.output(i).postprocess().custom([](const ov::Output& node) { + auto axes = ov::op::v0::Constant::create(ov::element::i32, ov::Shape{1}, {0}); + return std::make_shared(node, axes); + }); + } + } + model = ppp.build(); + } + } + return model; +} + +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/translate_session.h b/ggml/src/ggml-openvino/openvino/translate_session.h new file mode 100644 index 0000000000..56a14ae7c0 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/translate_session.h @@ -0,0 +1,28 @@ +#pragma once + +#include "input_model.h" +#include "node_context.h" + +namespace ov { +namespace frontend { +namespace ggml { + +class TranslateSession { +public: + TranslateSession(const frontend::InputModel::Ptr& input_model, + const std::unordered_map& translator_map, bool naive = false); + + std::shared_ptr get_converted_model(); + std::shared_ptr translate_graph(const frontend::InputModel::Ptr& input_model); + +private: + std::shared_ptr apply_transformations(std::shared_ptr model); + const frontend::InputModel::Ptr m_input_model; + const std::unordered_map& m_translator_map; + std::shared_ptr m_ov_model; + bool m_naive; +}; + +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/utils.cpp b/ggml/src/ggml-openvino/openvino/utils.cpp new file mode 100644 index 0000000000..65356a51b5 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/utils.cpp @@ -0,0 +1,226 @@ +#include "utils.h" + +#include "ggml-impl.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +namespace ov { +namespace frontend { +namespace ggml { + +std::string getCurrentTime() { + std::time_t now = std::time(nullptr); + char buf[100]; + std::strftime(buf, sizeof(buf), "%Y-%m-%d %H:%M:%S", std::localtime(&now)); + return buf; +} + +void num_inputs_check(const NodeContext & context, size_t min_inputs, size_t max_inputs) { + auto input_size = context.get_input_size(); + FRONT_END_OP_CONVERSION_CHECK(input_size >= min_inputs, "Got less inputs than expected"); + FRONT_END_OP_CONVERSION_CHECK(input_size <= max_inputs, "Got more inputs than expected"); +} + +int non_cont_dim(std::vector ne, std::vector nb) { + int dim = nb.size() - 1; + size_t bytes = nb[dim]; + for (int i = dim; i > 0; i--) { + bytes *= ne[i]; + if (bytes != nb[i - 1]) { + return i; + } + } + return 0; +} + +std::shared_ptr get_dimensions(const std::shared_ptr & shape, + const std::vector & dims) { + using namespace ov::op; + const auto zero = v0::Constant::create(ov::element::i32, ov::Shape{}, {0}); + const auto dims_const = v0::Constant::create(ov::element::i32, ov::Shape{dims.size()}, dims); + return std::make_shared(shape, dims_const, zero); +} + +std::shared_ptr get_dimensions(const std::shared_ptr & node, const std::vector & dims) { + return get_dimensions(std::make_shared(node), dims); +} + +OutputVector rename_outputs_with_suffix(const OutputVector & outputs, const std::string & suffix) { + for (const auto & output : outputs) { + auto node = output.get_node_shared_ptr(); + std::string name = node->get_friendly_name(); + name += "_"; + name += suffix; + node->set_friendly_name(name); + // std::cout << name << " " << output.get_partial_shape() << std::endl; + } + return outputs; +} + +namespace { +ov::Output rope_yarn_ramp_mix(int n_dims, const float corr_dims[2], float ext_factor) { + int half_n_dims = n_dims / 2; + std::vector dim_ids_vec(half_n_dims); + std::iota(dim_ids_vec.begin(), dim_ids_vec.end(), 0); + auto dim_ids = ov::op::v0::Constant::create(ov::element::f32, Shape{1, 1, 1, (size_t) half_n_dims}, dim_ids_vec); + auto corr_low = ov::op::v0::Constant::create(ov::element::f32, Shape{1, 1, 1, 1}, {corr_dims[0]}); + auto corr_high = ov::op::v0::Constant::create(ov::element::f32, Shape{1, 1, 1, 1}, {corr_dims[1]}); + auto denom = std::make_shared( + std::make_shared(corr_high, corr_low), + ov::op::v0::Constant::create(ov::element::f32, Shape{1, 1, 1, 1}, {0.001f})); + auto ramp_y = + std::make_shared(std::make_shared(dim_ids, corr_low), denom); + auto ramp_clamped = std::make_shared(ramp_y, 0.0f, 1.0f); + auto ext_factor_node = ov::op::v0::Constant::create(ov::element::f32, Shape{}, {ext_factor}); + auto ramp_mix = std::make_shared(ramp_clamped, ext_factor_node); + return ramp_mix; +} + +float ggml_rope_yarn_corr_dim(int n_dims, int n_ctx_orig, float n_rot, float base) { +#ifndef M_PI +# define M_PI 3.14159265358979323846 +#endif + return n_dims * logf(n_ctx_orig / (n_rot * 2 * (float) M_PI)) / (2 * logf(base)); +} + +void ggml_rope_yarn_corr_dims(int n_dims, + int n_ctx_orig, + float freq_base, + float beta_fast, + float beta_slow, + float dims[2]) { + float start = floorf(ggml_rope_yarn_corr_dim(n_dims, n_ctx_orig, beta_fast, freq_base)); + float end = ceilf(ggml_rope_yarn_corr_dim(n_dims, n_ctx_orig, beta_slow, freq_base)); + dims[0] = std::max(0.0f, start); + dims[1] = std::min(static_cast(n_dims - 1), end); +} +} // namespace + +std::pair, ov::Output> make_sin_cos(int32_t * rope_params, + std::shared_ptr inp_pos, + std::shared_ptr rope_freqs_weight, + bool stateful) { + if (stateful) { + inp_pos = std::make_shared(inp_pos, ov::op::v0::Constant::create(ov::element::i64, {1}, {0})); + inp_pos = std::make_shared(inp_pos, ov::element::f32); + auto pos_perm = + std::make_shared(ov::element::i64, ov::Shape{3}, std::vector{2, 1, 0}); + inp_pos = std::make_shared(inp_pos, pos_perm); + } else { + inp_pos = std::make_shared(inp_pos, ov::element::f32); + auto pos_perm = + std::make_shared(ov::element::i64, ov::Shape{4}, std::vector{0, 3, 1, 2}); + inp_pos = std::make_shared(inp_pos, pos_perm); + } + + float freq_base; + float freq_scale; + float ext_factor; + float attn_factor; + float beta_fast; + float beta_slow; + const int n_dims = rope_params[1]; + const int n_ctx_orig = rope_params[4]; + memcpy(&freq_base, rope_params + 5, sizeof(float)); + memcpy(&freq_scale, rope_params + 6, sizeof(float)); + memcpy(&ext_factor, rope_params + 7, sizeof(float)); + memcpy(&attn_factor, rope_params + 8, sizeof(float)); + memcpy(&beta_fast, rope_params + 9, sizeof(float)); + memcpy(&beta_slow, rope_params + 10, sizeof(float)); + + const float theta_scale = powf(freq_base, -2.0f / n_dims); + + float corr_dims[2]; + ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims); + + std::vector factor(n_dims / 2); + factor[0] = 1.0f; + for (size_t i = 1; i < factor.size(); i++) { + factor[i] = theta_scale * factor[i - 1]; + } + + Output freq_factors; + if (stateful) { + freq_factors = + std::make_shared(ov::element::f32, ov::Shape{1, 1, factor.size()}, factor); + } else { + freq_factors = + std::make_shared(ov::element::f32, ov::Shape{1, 1, 1, factor.size()}, factor); + } + if (rope_freqs_weight) { + freq_factors = std::make_shared(freq_factors, rope_freqs_weight); + } + + auto theta_extrap = std::make_shared(freq_factors, inp_pos); + auto theta_interp = std::make_shared( + theta_extrap, ov::op::v0::Constant::create(ov::element::f32, {1}, {freq_scale})); + + Output theta; + float mscale = attn_factor; + if (ext_factor == 0.0f) { + theta = theta_interp; + } else { + auto ramp_mix = rope_yarn_ramp_mix(n_dims, corr_dims, ext_factor); + Output one; + if (stateful) { + one = ov::op::v0::Constant::create(ov::element::f32, Shape{1, 1, 1}, {1.0f}); + } else { + one = ov::op::v0::Constant::create(ov::element::f32, Shape{1, 1, 1, 1}, {1.0f}); + } + auto one_minus_ramp = std::make_shared(one, ramp_mix); + + theta = std::make_shared(std::make_shared(theta_interp, one_minus_ramp), + std::make_shared(theta_extrap, ramp_mix)); + mscale *= (1.0f + 0.1f * std::log(1.0f / freq_scale)); + } + + Output cos_theta = std::make_shared(theta); + Output sin_theta = std::make_shared(theta); + + auto mscale_node = ov::op::v0::Constant::create(ov::element::f32, Shape{}, {mscale}); + + cos_theta = std::make_shared(cos_theta, mscale_node); + sin_theta = std::make_shared(sin_theta, mscale_node); + return std::make_pair(sin_theta, cos_theta); +} + +ov::Output process_view_input(const NodeContext & context, int input_index, int slice_len) { + // Only works for VIEW operations that slice at the lowest dimension + // If the VIEW also reshape the result, `slice_len` should be provided + auto input = context.get_input(input_index); + auto * op_params = (size_t *) context.get_input_op_params(input_index); + auto src1_stride = context.get_input_stride(input_index); + + int64_t split_addr = op_params[0] / src1_stride[3]; + if (slice_len == 0) { + slice_len = context.get_input_shape(input_index)[3].get_length(); + } + int64_t slice_end = split_addr + slice_len; + + auto begin = ov::op::v0::Constant::create(ov::element::i64, {1}, {split_addr}); + auto end = ov::op::v0::Constant::create(ov::element::i64, {1}, {slice_end}); + auto stride = ov::op::v0::Constant::create(ov::element::i64, {1}, {1}); + auto axes = ov::op::v0::Constant::create(ov::element::i64, {1}, {context.is_stateful() ? 2 : 3}); + auto sliced = std::make_shared(input, begin, end, stride, axes); + return sliced; +} + +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/openvino/utils.h b/ggml/src/ggml-openvino/openvino/utils.h new file mode 100644 index 0000000000..88dcad4c90 --- /dev/null +++ b/ggml/src/ggml-openvino/openvino/utils.h @@ -0,0 +1,85 @@ +#pragma once + +#include +#include +#include +#include +#include + +#include "node_context.h" + +namespace ov { +namespace frontend { +namespace ggml { + +std::string getCurrentTime(); + +void dump_ov_model(std::shared_ptr model); + +void num_inputs_check(const NodeContext& context, size_t min_inputs, size_t max_inputs); + +int non_cont_dim(std::vector ne, std::vector nb); + +template +std::vector argsort_descend(const std::vector& v) { + std::vector idx(v.size()); + std::iota(idx.begin(), idx.end(), 0); + std::sort(idx.begin(), idx.end(), [&v](int i1, int i2) { + return v[i1] > v[i2]; + }); + return idx; +} + +template +std::vector sorted_descend(std::vector v) { + std::sort(v.begin(), v.end(), [](T a, T b) { + return a > b; + }); + return v; +} + +template +bool is_permuted(const std::vector& strides) { + for (size_t i = 0; i < strides.size() - 1; ++i) { + if (strides[i] < strides[i + 1]) { + return true; + } + } + return false; +} + +template +std::vector permute(const std::vector& x, const std::vector& perm) { + std::vector result; + result.reserve(perm.size()); + for (int i : perm) { + result.push_back(x[i]); + } + return result; +} + +std::shared_ptr get_dimensions(const std::shared_ptr& shape, + const std::vector& dims); +std::shared_ptr get_dimensions(const std::shared_ptr& node, const std::vector& dims); + +OutputVector rename_outputs_with_suffix(const OutputVector& outputs, const std::string& suffix); + +std::pair, ov::Output> make_sin_cos(int32_t* rope_params, + std::shared_ptr inp_pos, + std::shared_ptr rope_freqs_weight = nullptr, + bool stateful = false); + +ov::Output process_view_input(const NodeContext& context, int input_index, int slice_len = 0); + +namespace op { +template +OutputVector translate_1to1_match_2_inputs(const NodeContext& context) { + num_inputs_check(context, 2, 2); + auto res = std::make_shared(context.get_input(0), context.get_input(1)); + return rename_outputs_with_suffix({res}, context.get_name()); +} +} // namespace op + +} // namespace ggml +} // namespace frontend +} // namespace ov diff --git a/ggml/src/ggml-openvino/utils.cpp b/ggml/src/ggml-openvino/utils.cpp new file mode 100644 index 0000000000..1b553a0de0 --- /dev/null +++ b/ggml/src/ggml-openvino/utils.cpp @@ -0,0 +1,823 @@ +#include "utils.h" + +#include "ggml-impl.h" +#include "ggml-openvino-extra.h" +#include "ggml-openvino/ggml-decoder.h" +#include "ggml.h" +#include "openvino/frontend.h" +#include "openvino/input_model.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +// Suppress deprecation warning for ov::Tensor::data() +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wdeprecated-declarations" + +enum ggml_status ov_graph_compute(ggml_cgraph * cgraph, ggml_backend_t backend) { + ggml_backend_openvino_context * ctx = (ggml_backend_openvino_context *) backend->context; + try { + if (getenv("GGML_OPENVINO_DUMP_CGRAPH")) { + std::string filename = "cgraph_ov.txt"; + GgmlOvDecoder::dump_cgraph(cgraph, filename); + } + + const auto is_static = ggml_openvino_is_npu(); + + GGML_ASSERT(ctx->runtime_context != nullptr); + std::shared_ptr r_ctx = std::static_pointer_cast(ctx->runtime_context); + + return is_static ? ov_graph_compute_static(cgraph, r_ctx) : ov_graph_compute_dynamic(cgraph, r_ctx); + } catch (const ov::Exception & e) { + GGML_LOG_ERROR("GGML OpenVINO backend ov::Exception: %s\n", e.what()); + return GGML_STATUS_FAILED; + } catch (const std::exception & e) { + GGML_LOG_ERROR("GGML OpenVINO backend std::exception: %s\n", e.what()); + return GGML_STATUS_FAILED; + } catch (...) { + GGML_LOG_ERROR("GGML OpenVINO backend unknown exception\n"); + return GGML_STATUS_FAILED; + } +} + +ov::Tensor create_ov_output_tensor(std::shared_ptr ggml_decoder, + std::shared_ptr infer_request, + int output_index, + const ggml_tensor * ggml_tensor) { + auto output_type = ggml_decoder->get_ov_type(ggml_tensor); + ov::Shape output_shape; + if (ggml_decoder->is_static()) { + output_shape = infer_request->get_output_tensor(output_index).get_shape(); + } else { + output_shape = ggml_decoder->get_shape(ggml_tensor); + } + + ov::Tensor output_tensor(output_type, output_shape, ggml_tensor->data); + return output_tensor; +} + +enum ggml_status ov_graph_compute_dynamic(ggml_cgraph * cgraph, std::shared_ptr r_ctx) { + auto & core = ov_singleton_core(); + const auto & config = ggml_openvino_get_compile_config(); + auto device = r_ctx->device; + bool stateful = r_ctx->stateful; + static auto is_static = false; + + if (is_naive(cgraph)) { + return naive_compute(cgraph, core, device, config); + } + + auto start_time = ggml_time_us(); + + std::shared_ptr ggml_decoder; + std::shared_ptr infer_request; + ModelParams m_params; + ComputeParams c_params; + std::tie(m_params, c_params) = GgmlOvDecoder::compute_llm_params(cgraph, is_static); + + graph_key key(cgraph); + bool cache_hit; + + int64_t decoder_end_time; + int64_t conversion_end_time; + int64_t compile_end_time; + int64_t infer_end_time; + + { + std::lock_guard lock(r_ctx->ov_compute_mutex); + + auto it = r_ctx->decoder_cache.find(key); + + cache_hit = it != r_ctx->decoder_cache.end(); + ModelParams old_m_params; + if (cache_hit) { + ggml_decoder = it->second; + old_m_params = ggml_decoder->get_model_params(); + cache_hit = old_m_params.can_reuse_dynamically(m_params); + } + + if (cache_hit) { + std::map> model_weights; + ggml_decoder->set_compute_params(c_params); + ggml_decoder->set_model_params(m_params); + if (old_m_params.kv_buffer_changed(m_params)) { + ggml_decoder->update_io(cgraph); + } + ggml_decoder->add_extra_inputs(); + infer_request = r_ctx->infer_request_cache.at(key); + + if (stateful) { + const auto * inp_pos = get_inp_pos_tensor(cgraph); + int32_t * pos_data = (int32_t *) inp_pos->data; + auto pos_shape = ggml_decoder->get_shape(inp_pos); + if (pos_data[0] == 0) { + infer_request->reset_state(); + r_ctx->stateful_kv_size = pos_shape[3]; + } else if (r_ctx->stateful_kv_size == static_cast(pos_data[0])) { + r_ctx->stateful_kv_size += pos_shape[3]; + } else { + auto states = infer_request->query_state(); + for (auto state : states) { + auto state_tensor = state.get_state(); + auto state_tensor_shape = state_tensor.get_shape(); + if (static_cast(pos_data[0]) > r_ctx->stateful_kv_size) { + std::string state_name; + try { + state_name = r_ctx->kv_state_input_name_map.at(state.get_name()); + } catch (...) { + GGML_LOG_ERROR("GGML OpenVINO backend stateful inference failed: no input found for the state\n"); + return GGML_STATUS_FAILED; + } + auto kv_tensor = get_ov_input_tensor(ggml_decoder, state_name); + kv_tensor.set_shape({state_tensor_shape[0], kv_tensor.get_shape()[2], + state_tensor_shape[2], state_tensor_shape[3]}); + state_tensor = kv_tensor; + state_tensor_shape = state_tensor.get_shape(); + } + ov::Coordinate begin = {0, 0, 0, 0}; + ov::Coordinate end = {state_tensor_shape[0], static_cast(pos_data[0]), + state_tensor_shape[2], state_tensor_shape[3]}; + ov::Tensor new_state_tensor(state_tensor, begin, end); + state.set_state(new_state_tensor); + } + r_ctx->stateful_kv_size = pos_data[0] + 1; + } + } + + decoder_end_time = ggml_time_us(); + conversion_end_time = decoder_end_time; + compile_end_time = decoder_end_time; + } else { + r_ctx->infer_request_cache.erase(key); + + std::shared_ptr model; + auto model_weights = GgmlOvDecoder::create_weight_nodes(cgraph); + + ggml_decoder = std::make_shared(cgraph, m_params, c_params, model_weights, is_static, stateful); + decoder_end_time = ggml_time_us(); + + auto input_model = std::make_shared(ggml_decoder); + model = ov::frontend::ggml::FrontEnd::convert(input_model); + ggml_decoder->clear_model_weights(); + conversion_end_time = ggml_time_us(); + + if (getenv("GGML_OPENVINO_DUMP_IR")) { + char timestamped_filename[64]; + auto timestamp = (long long) ggml_time_us(); + snprintf(timestamped_filename, sizeof(timestamped_filename), "model_%lld.xml", timestamp); + ov::serialize(model, timestamped_filename); + } + + ov::CompiledModel compiled_model; + auto remote_context = ggml_openvino_get_remote_context(); + if (remote_context.has_value()) { + compiled_model = core.compile_model(model, remote_context.value(), config); + } else { + compiled_model = core.compile_model(model, device, config); + } + compile_end_time = ggml_time_us(); + infer_request = std::make_shared(compiled_model.create_infer_request()); + r_ctx->infer_request_cache[key] = infer_request; + r_ctx->decoder_cache[key] = ggml_decoder; + + std::vector ov_input_names; + std::vector ov_output_names; + for (const auto & ov_param : model->get_parameters()) { + ov_input_names.push_back(ov_param->get_friendly_name()); + } + for (const auto & ov_output : model->get_results()) { + ov_output_names.push_back(ov_output->get_friendly_name()); + } + r_ctx->ov_input_names_cache[key] = std::move(ov_input_names); + r_ctx->ov_output_names_cache[key] = std::move(ov_output_names); + + if (stateful) { + const auto * inp_pos = get_inp_pos_tensor(cgraph); + auto pos_shape = ggml_decoder->get_shape(inp_pos); + r_ctx->stateful_kv_size = pos_shape[3]; + const auto kv_param_res_names = ggml_decoder->get_kv_param_res_names(); + for (const auto& pair : kv_param_res_names) { + r_ctx->kv_state_input_name_map[pair.first+pair.second] = pair.first; + } + } + } + + auto ov_input_names = r_ctx->ov_input_names_cache[key]; + auto ov_output_names = r_ctx->ov_output_names_cache[key]; + + for (size_t i = 0; i < ov_input_names.size(); i++) { + auto param_name = ov_input_names[i]; + auto input_tensor = get_ov_input_tensor(ggml_decoder, param_name); + infer_request->set_input_tensor(i, input_tensor); + + if (getenv("GGML_OPENVINO_DEBUG_INPUT")) { + print_input_tensor_info(param_name, input_tensor); + } + } + + for (size_t i = 0; i < ov_output_names.size(); i++) { + auto * ggml_tensor = ggml_decoder->get_model_outputs().at(ov_output_names[i]); + auto output_tensor = create_ov_output_tensor(ggml_decoder, infer_request, i, ggml_tensor); + infer_request->set_output_tensor(i, output_tensor); + } + + infer_request->infer(); + infer_end_time = ggml_time_us(); + + if (getenv("GGML_OPENVINO_DEBUG_OUTPUT")) { + for (size_t i = 0; i < ov_output_names.size(); i++) { + const auto output_tensor = infer_request->get_output_tensor(i); + print_output_tensor_info(ov_output_names[i], output_tensor, output_tensor.data()); + } + } + + if (getenv("GGML_OPENVINO_PROFILING")) { + GGML_LOG_INFO("\nGGML OpenVINO Backend: \n"); + GGML_LOG_INFO(" - Graph decoder time: %ld ms \n", (decoder_end_time - start_time) / 1000); + if (!cache_hit) { + GGML_LOG_INFO(" - Graph conversion time: %ld ms \n", (conversion_end_time - decoder_end_time) / 1000); + GGML_LOG_INFO(" - Graph compile time: %ld ms \n", (compile_end_time - conversion_end_time) / 1000); + } + GGML_LOG_INFO(" - Graph inference time: %ld ms \n", (infer_end_time - compile_end_time) / 1000); + } + } + + return GGML_STATUS_SUCCESS; +} + +enum ggml_status ov_graph_compute_static(ggml_cgraph * cgraph, std::shared_ptr r_ctx) { + auto & core = ov_singleton_core(); + + auto get_prefill_chunk_size = [] { + const char * chunk_size_str = getenv("GGML_OPENVINO_PREFILL_CHUNK_SIZE"); + if (chunk_size_str && atoi(chunk_size_str) > 0) { + return atoi(chunk_size_str); + } + return 256; + }; + + static std::string device = "NPU"; + static auto is_static = true; + static auto stateful = false; + static auto prefill_chunk_size = get_prefill_chunk_size(); + const auto & config = ggml_openvino_get_compile_config(); + + if (is_naive(cgraph)) { + return naive_compute(cgraph, core, device, config); + } + + auto start_time = ggml_time_us(); + + std::shared_ptr ggml_decoder; + std::shared_ptr infer_request; + ModelParams m_params; + ComputeParams c_params; + std::tie(m_params, c_params) = GgmlOvDecoder::compute_llm_params(cgraph, is_static); + + const auto * inp_pos = get_inp_pos_tensor(cgraph); + const auto is_prefill = get_is_prefill(inp_pos); + graph_key key(cgraph); + bool cache_hit; + + int64_t decoder_end_time; + int64_t conversion_end_time; + int64_t compile_end_time; + int64_t infer_end_time; + + auto it = r_ctx->decoder_cache.find(key); + + cache_hit = it != r_ctx->decoder_cache.end(); + ModelParams old_m_params; + if (cache_hit) { + ggml_decoder = it->second; + old_m_params = ggml_decoder->get_model_params(); + cache_hit = old_m_params.can_reuse_statically(m_params); + } + + if (cache_hit) { + std::map> model_weights; + ggml_decoder->m_is_prefill = is_prefill; + ggml_decoder->set_model_params(m_params); + ggml_decoder->set_compute_params(c_params); + if (old_m_params.kv_buffer_changed(m_params)) { + ggml_decoder->update_io(cgraph); + } + ggml_decoder->add_extra_inputs(); + infer_request = is_prefill ? r_ctx->infer_request_cache_prefill.at(key) : r_ctx->infer_request_cache.at(key); + + decoder_end_time = ggml_time_us(); + conversion_end_time = decoder_end_time; + compile_end_time = decoder_end_time; + } else { + r_ctx->infer_request_cache.erase(key); + r_ctx->infer_request_cache_prefill.erase(key); + + std::shared_ptr model; + auto model_weights = GgmlOvDecoder::create_weight_nodes(cgraph); + + auto ggml_decoder_prefill = std::make_shared(cgraph, m_params, c_params, model_weights, + is_static, stateful, true, prefill_chunk_size); + auto ggml_decoder_decode = std::make_shared(cgraph, m_params, c_params, model_weights, is_static, + stateful, false, prefill_chunk_size); + decoder_end_time = ggml_time_us(); + + auto input_model_prefill = std::make_shared(ggml_decoder_prefill); + auto input_model_decode = std::make_shared(ggml_decoder_decode); + + auto model_prefill = ov::frontend::ggml::FrontEnd::convert(input_model_prefill); + ggml_decoder_prefill->clear_model_weights(); + auto model_decode = ov::frontend::ggml::FrontEnd::convert(input_model_decode); + ggml_decoder_decode->clear_model_weights(); + conversion_end_time = ggml_time_us(); + + if (getenv("GGML_OPENVINO_DUMP_IR")) { + char timestamped_filename[64]; + auto timestamp = (long long) ggml_time_us(); + snprintf(timestamped_filename, sizeof(timestamped_filename), "model_prefill_%lld.xml", timestamp); + ov::serialize(model_prefill, timestamped_filename); + snprintf(timestamped_filename, sizeof(timestamped_filename), "model_decode_%lld.xml", timestamp); + ov::serialize(model_decode, timestamped_filename); + } + + ov::CompiledModel compiled_model_prefill; + ov::CompiledModel compiled_model_decode; + auto remote_context = ggml_openvino_get_remote_context(); + if (remote_context.has_value()) { + compiled_model_prefill = core.compile_model(model_prefill, remote_context.value(), config); + compiled_model_decode = core.compile_model(model_decode, remote_context.value(), config); + } else { + compiled_model_prefill = core.compile_model(model_prefill, device, config); + compiled_model_decode = core.compile_model(model_decode, device, config); + } + + r_ctx->infer_request_cache_prefill[key] = + std::make_shared(compiled_model_prefill.create_infer_request()); + r_ctx->infer_request_cache[key] = + std::make_shared(compiled_model_decode.create_infer_request()); + compile_end_time = ggml_time_us(); + + model = is_prefill ? model_prefill : model_decode; + ggml_decoder = is_prefill ? ggml_decoder_prefill : ggml_decoder_decode; + infer_request = is_prefill ? r_ctx->infer_request_cache_prefill[key] : r_ctx->infer_request_cache[key]; + r_ctx->decoder_cache[key] = ggml_decoder; + + std::vector ov_input_names; + std::vector ov_output_names; + for (const auto & ov_param : model->get_parameters()) { + ov_input_names.push_back(ov_param->get_friendly_name()); + } + for (const auto & ov_output : model->get_results()) { + ov_output_names.push_back(ov_output->get_friendly_name()); + } + r_ctx->ov_input_names_cache[key] = std::move(ov_input_names); + r_ctx->ov_output_names_cache[key] = std::move(ov_output_names); + } + + auto ov_input_names = r_ctx->ov_input_names_cache[key]; + auto ov_output_names = r_ctx->ov_output_names_cache[key]; + + if (is_prefill) { + auto inp_len = inp_pos->ne[0]; + for (int chunk_index = 0; chunk_index * prefill_chunk_size < inp_len; chunk_index++) { + for (size_t i = 0; i < ov_input_names.size(); i++) { + auto param_name = ov_input_names[i]; + auto input_tensor = get_ov_input_tensor_static_prefill(ggml_decoder, param_name, chunk_index); + infer_request->set_input_tensor(i, input_tensor); + + if (getenv("GGML_OPENVINO_DEBUG_INPUT")) { + const auto input_tensor = infer_request->get_input_tensor(i); + print_input_tensor_info(param_name, input_tensor); + } + } + + for (size_t i = 0; i < ov_output_names.size(); i++) { + auto * ggml_tensor = ggml_decoder->get_model_outputs().at(ov_output_names[i]); + auto output_tensor = create_ov_output_tensor(ggml_decoder, infer_request, i, ggml_tensor); + infer_request->set_output_tensor(i, output_tensor); + } + + infer_request->infer(); + + if (getenv("GGML_OPENVINO_DEBUG_OUTPUT")) { + for (size_t i = 0; i < ov_output_names.size(); i++) { + const auto output_tensor = infer_request->get_output_tensor(i); + print_output_tensor_info(ov_output_names[i], output_tensor, output_tensor.data()); + } + } + } + infer_end_time = ggml_time_us(); + } else { + for (size_t i = 0; i < ov_input_names.size(); i++) { + auto param_name = ov_input_names[i]; + auto input_tensor = get_ov_input_tensor_static_decode(ggml_decoder, param_name); + infer_request->set_input_tensor(i, input_tensor); + + if (getenv("GGML_OPENVINO_DEBUG_INPUT")) { + const auto input_tensor = infer_request->get_input_tensor(i); + print_input_tensor_info(param_name, input_tensor); + } + } + + for (size_t i = 0; i < ov_output_names.size(); i++) { + auto * ggml_tensor = ggml_decoder->get_model_outputs().at(ov_output_names[i]); + auto output_tensor = create_ov_output_tensor(ggml_decoder, infer_request, i, ggml_tensor); + infer_request->set_output_tensor(i, output_tensor); + } + + infer_request->infer(); + infer_end_time = ggml_time_us(); + + if (getenv("GGML_OPENVINO_DEBUG_OUTPUT")) { + for (size_t i = 0; i < ov_output_names.size(); i++) { + const auto output_tensor = infer_request->get_output_tensor(i); + print_output_tensor_info(ov_output_names[i], output_tensor, output_tensor.data()); + } + } + } + + if (getenv("GGML_OPENVINO_PROFILING")) { + GGML_LOG_INFO("\nGGML OpenVINO Backend: \n"); + GGML_LOG_INFO(" - Graph decoder time: %ld ms \n", (decoder_end_time - start_time) / 1000); + if (!cache_hit) { + GGML_LOG_INFO(" - Graph conversion time: %ld ms \n", (conversion_end_time - decoder_end_time) / 1000); + GGML_LOG_INFO(" - Graph compile time: %ld ms \n", (compile_end_time - conversion_end_time) / 1000); + } + GGML_LOG_INFO(" - Graph inference time: %ld ms \n", (infer_end_time - compile_end_time) / 1000); + } + + return GGML_STATUS_SUCCESS; +} + +bool is_naive(ggml_cgraph * cgraph) { + constexpr int naive_graph_size_threshold = 20; + int count = 0; + for (int i = 0; i < cgraph->n_nodes; i++) { + if (cgraph->nodes[i]->op != GGML_OP_NONE) { + count++; + } + } + return count < naive_graph_size_threshold; +} + +enum ggml_status naive_compute(ggml_cgraph * cgraph, + ov::Core & core, + const std::string & device, + const ov::AnyMap & config) { + if (cgraph->n_nodes == 1 && (cgraph->nodes[0]->op == GGML_OP_NONE || cgraph->nodes[0]->op == GGML_OP_VIEW)) { + return GGML_STATUS_SUCCESS; + } + + bool naive = true; + auto model_weights = GgmlOvDecoder::create_weight_nodes(cgraph, naive); + auto decoder = std::make_shared(cgraph, model_weights); + auto input_model = std::make_shared(decoder); + auto model = ov::frontend::ggml::FrontEnd::convert(input_model, naive); + if (getenv("GGML_OPENVINO_DUMP_IR")) { + ov::serialize(model, "IR_naive.xml"); + } + + std::shared_ptr infer_request; + auto remote_context = ggml_openvino_get_remote_context(); + if (cgraph->nodes[0]->op == GGML_OP_MUL_MAT) { + // TODO ACCURACY hint triggers a bug in GPU plugin/driver on Lunar Lake. Remove once CVS-182166 is resolved + core.set_property(device, ov::hint::execution_mode(ov::hint::ExecutionMode::PERFORMANCE)); + } else { + core.set_property(device, ov::hint::execution_mode(ov::hint::ExecutionMode::ACCURACY)); + } + if (remote_context.has_value()) { + infer_request = std::make_shared( + core.compile_model(model, remote_context.value(), config).create_infer_request()); + } else { + infer_request = + std::make_shared(core.compile_model(model, device, config).create_infer_request()); + } + + auto ov_params = model->get_parameters(); + for (size_t i = 0; i < ov_params.size(); i++) { + auto param_name = ov_params[i]->get_friendly_name(); + auto input_tensor = get_ov_input_tensor(decoder, param_name); + infer_request->set_input_tensor(i, input_tensor); + } + + auto ov_results = model->get_results(); + for (size_t i = 0; i < ov_results.size(); i++) { + auto * ggml_tensor = decoder->get_model_outputs().at(ov_results[i]->get_friendly_name()); + auto output_tensor = create_ov_output_tensor(decoder, infer_request, i, ggml_tensor); + infer_request->set_output_tensor(i, output_tensor); + } + + infer_request->infer(); + return GGML_STATUS_SUCCESS; +} + +namespace { +ov::Tensor convert_ggml_input_to_ov(std::shared_ptr ggml_decoder, const std::string & name) { + const auto * ggml_tensor = ggml_decoder->get_input_ggml_tensor(name); + + if (ggml_tensor->extra != nullptr) { + // GGML_LOG_DEBUG("Using ggml_tensor->extra as ov::Tensor for input: %s\n", name.c_str()); + auto * extra_base = static_cast(ggml_tensor->extra); + if (extra_base->type != ggml_openvino_extra_base::Type::TENSOR) { + throw std::runtime_error("ggml tensor extra is not of type TENSOR for input: " + name); + } + auto * tensor_extra = static_cast(extra_base); + return *tensor_extra->tensor; + } + + // GGML_LOG_DEBUG("Converting ggml tensor to ov::Tensor for input: %s\n", name.c_str()); + auto * input_data = ggml_tensor->data; + ov::Shape input_shape; + if (ggml_tensor->op == GGML_OP_VIEW) { + // This case is added to make test-backend-ops work + input_shape = ggml_decoder->get_shape(ggml_tensor->view_src); + } else { + input_shape = ggml_decoder->get_shape(ggml_tensor); + } + auto input_tensor = ov::Tensor(ggml_decoder->get_ov_type(ggml_tensor), input_shape, input_data); + return input_tensor; +} +} // namespace + +ov::Tensor get_ov_input_tensor(std::shared_ptr ggml_decoder, const std::string & param_name) { + ov::Tensor input_tensor; + if (ggml_decoder->get_model_extra_inputs().find(param_name) != ggml_decoder->get_model_extra_inputs().end()) { + input_tensor = *ggml_decoder->get_model_extra_input_values().at(param_name); + } else { + input_tensor = convert_ggml_input_to_ov(ggml_decoder, param_name); + } + return input_tensor; +} + +ov::Tensor get_ov_input_tensor_static_decode(std::shared_ptr ggml_decoder, + const std::string & param_name) { + // NPU decoding stage + const auto * ggml_tensor = ggml_decoder->get_input_ggml_tensor(param_name); + const auto * op = ggml_decoder->get_tensor_used_op(ggml_tensor); + + if (GgmlOvDecoder::is_inp_tok(ggml_tensor, op) || GgmlOvDecoder::is_inp_pos(ggml_tensor, op) || + GgmlOvDecoder::is_kv_idx(ggml_tensor, op)) { + assert(ggml_tensor->ne[0] == 1); + ov::Shape input_shape = {1, 1, 1, 1}; + ov::Tensor input_tensor(ggml_decoder->get_ov_type(ggml_tensor), input_shape); + if (ggml_tensor->type == GGML_TYPE_I32) { + *input_tensor.data() = *((int32_t *) ggml_tensor->data); + } else if (ggml_tensor->type == GGML_TYPE_I64) { + *input_tensor.data() = *((int64_t *) ggml_tensor->data); + } else { + throw std::runtime_error("Unexpected tensor type for " + param_name); + } + return input_tensor; + } + + if (GgmlOvDecoder::is_output_idx(ggml_tensor, op)) { + ov::Shape input_shape = {1, 1, 1, 1}; + ov::Tensor input_tensor(ggml_decoder->get_ov_type(ggml_tensor), input_shape); + int32_t inp_out_id = *((int32_t *) ggml_tensor->data); + assert(ggml_tensor->ne[0] == 1); + assert(inp_out_id == 0); + *input_tensor.data() = inp_out_id; + return input_tensor; + } + + if (GgmlOvDecoder::is_inp_mask(ggml_tensor, op)) { + size_t context_size = ggml_decoder->get_ctx_size(); + std::vector padded_data = pad_input(ggml_tensor, 1, context_size, -INFINITY); + ov::Tensor input_tensor(ov::element::f32, ov::Shape{1, 1, 1, context_size}); + auto * data_ptr = input_tensor.data(); + std::copy(padded_data.begin(), padded_data.begin() + context_size, data_ptr); + return input_tensor; + } + + return get_ov_input_tensor(ggml_decoder, param_name); +} + +ov::Tensor get_ov_input_tensor_static_prefill(std::shared_ptr ggml_decoder, + const std::string & param_name, + int chunk_index) { + // NPU prompt processing stage + const auto * ggml_tensor = ggml_decoder->get_input_ggml_tensor(param_name); + const auto * op = ggml_decoder->get_tensor_used_op(ggml_tensor); + + const size_t input_len = ggml_decoder->get_input_len(); + const size_t chunk_size = ggml_decoder->m_prefill_chunk_size; + const size_t chunk_valid_size = std::min(chunk_size, input_len - chunk_index * chunk_size); + const size_t chunk_pad_size = chunk_size - chunk_valid_size; + + if (GgmlOvDecoder::is_inp_tok(ggml_tensor, op) || GgmlOvDecoder::is_inp_pos(ggml_tensor, op) || + GgmlOvDecoder::is_kv_idx(ggml_tensor, op)) { + ov::Shape input_shape = {1, 1, 1, chunk_size}; + ov::Tensor input_tensor(ggml_decoder->get_ov_type(ggml_tensor), input_shape); + // copy the chunk_index-th chunk from ggml_tensor + size_t element_size = ggml_type_size(ggml_tensor->type); + void * input_data = (char *) ggml_tensor->data + chunk_index * chunk_size * element_size; + std::memcpy(input_tensor.data(), input_data, chunk_valid_size * element_size); + // pad the rest with last_value + 1, so that kv's of padded positions are inserted + // to the next row after the valids row in the kvcache + if (chunk_pad_size > 0) { + if (ggml_tensor->type == GGML_TYPE_I32) { + int32_t last_value = + *((int32_t *) ggml_tensor->data + (chunk_index * chunk_size + chunk_valid_size - 1)); + int32_t * output_data = input_tensor.data(); + std::fill(output_data + chunk_valid_size, output_data + chunk_size, last_value + 1); + } else if (ggml_tensor->type == GGML_TYPE_I64) { + int64_t last_value = + *((int64_t *) ggml_tensor->data + (chunk_index * chunk_size + chunk_valid_size - 1)); + int64_t * output_data = input_tensor.data(); + std::fill(output_data + chunk_valid_size, output_data + chunk_size, last_value + 1); + } else { + throw std::runtime_error("Unexpected tensor type for " + param_name); + } + } + return input_tensor; + } + + if (GgmlOvDecoder::is_output_idx(ggml_tensor, op)) { + size_t output_len = ggml_decoder->get_compute_params().output_len; + ov::Shape input_shape = {1, 1, 1, output_len}; + ov::Tensor input_tensor(ggml_decoder->get_ov_type(ggml_tensor), input_shape); + if (ggml_tensor->ne[0] == 0) { + *input_tensor.data() = 0; + } else { + auto * data_addr = input_tensor.data(); + for (size_t i = 0; i < output_len; i++) { + data_addr[i] = ((int32_t *) ggml_tensor->data)[i] % chunk_size; + } + } + return input_tensor; + } + + if (GgmlOvDecoder::is_inp_mask(ggml_tensor, op)) { + size_t cols = ggml_tensor->ne[0]; + size_t rows = ggml_tensor->ne[1]; + float * ggml_data = (float *) ggml_tensor->data + chunk_index * chunk_size * cols; + size_t chunk_valid_rows = std::min(chunk_size, rows - chunk_index * chunk_size); + size_t context_size = ggml_decoder->get_ctx_size(); + std::vector padded_data = + pad_input(ggml_data, chunk_valid_rows, cols, chunk_size, context_size, -INFINITY); + set_zero_diagonal(padded_data, chunk_size, context_size); + ov::Tensor input_tensor(ov::element::f32, ov::Shape{1, 1, chunk_size, context_size}); + auto * data_ptr = input_tensor.data(); + std::copy(padded_data.begin(), padded_data.begin() + chunk_size * context_size, data_ptr); + return input_tensor; + } + + return get_ov_input_tensor(ggml_decoder, param_name); +} + +size_t checksum(const void * data, size_t size) { + const uint8_t * bytes = static_cast(data); + size_t sum = 0; + for (size_t i = 0; i < size; ++i) { + sum += (uint8_t) i; + sum += bytes[i]; + } + return sum; +} + +void print_input_tensor_info(const std::string & name, const ov::Tensor & tensor) { + std::cout << "Input name: " << name << ", Input shape: " << tensor.get_shape() << ", Address: " << tensor.data() + << std::endl; + switch (tensor.get_element_type()) { + case ov::element::f32: { + if (name.find("self_kq_mask") == std::string::npos) { + std::cout << *(tensor.data()) << std::endl; + } else { + size_t rows = tensor.get_shape()[2]; + size_t cols = tensor.get_shape()[3]; + auto * data = tensor.data(); + for (size_t i = 0; i < rows; ++i) { + for (size_t j = 0; j < cols; ++j) { + float val = data[i * cols + j]; + if (std::isinf(val) && val < 0) { + std::cout << std::setw(5) << "-inf"; + } else { + std::cout << std::setw(5) << val; + } + } + std::cout << std::endl; + } + } + + break; + } + case ov::element::f16: + std::cout << *(tensor.data()) << std::endl; + break; + case ov::element::i32: + for (size_t i = 0; i < tensor.get_size(); ++i) { + std::cout << tensor.data()[i] << " "; + } + std::cout << std::endl; + break; + case ov::element::i64: + for (size_t i = 0; i < tensor.get_size(); ++i) { + std::cout << tensor.data()[i] << " "; + } + std::cout << std::endl; + break; + default: + break; + } +} + +void print_output_tensor_info(const std::string & name, const ov::Tensor & tensor, const void * output_dst) { + std::cout << "Output name: " << name << ", Output shape: " << tensor.get_shape() << ", Address: " << output_dst + << std::endl; + + auto print_float_stats = [](const std::string & type_name, size_t size, auto get_value) { + if (size == 0) { + return; + } + + float first = get_value(0); + float min = first; + float max = first; + double sum = first; + + for (size_t i = 1; i < size; ++i) { + float v = get_value(i); + if (v < min) { + min = v; + } + if (v > max) { + max = v; + } + sum += v; + } + double mean = sum / size; + + std::cout << std::right << std::setw(6) << type_name << std::right << std::setw(12) << "First" << std::setw(12) + << "Min" << std::setw(12) << "Max" << std::setw(12) << "Mean" << std::endl; + std::cout << std::right << std::setw(6) << "" << std::right << std::setw(12) << first << std::setw(12) << min + << std::setw(12) << max << std::setw(12) << mean << std::endl; + }; + + switch (tensor.get_element_type()) { + case ov::element::f32: { + const float * data = tensor.data(); + size_t size = tensor.get_size(); + print_float_stats("[f32]", size, [data](size_t i) { return data[i]; }); + break; + } + case ov::element::f16: { + const ov::float16 * data = tensor.data(); + size_t size = tensor.get_size(); + print_float_stats("[f16]", size, [data](size_t i) { return static_cast(data[i]); }); + break; + } + default: + break; + } +} + +void set_zero_diagonal(std::vector & matrix, size_t rows, size_t cols) { + for (size_t i = 0; i < rows; ++i) { + size_t diag_col = std::min(i, cols - 1); + matrix[i * cols + diag_col] = 0.0f; + } +} + +const ggml_tensor * get_inp_pos_tensor(ggml_cgraph * cgraph) { + for (int i = 0; i < cgraph->n_nodes; ++i) { + auto * op = cgraph->nodes[i]; + for (int j = 0; j < GGML_MAX_SRC; ++j) { + auto * src = op->src[j]; + if (src == nullptr) { + break; + } + if (GgmlOvDecoder::is_inp_pos(src, op)) { + return src; + } + } + } + GGML_LOG_ERROR("get_inp_pos_tensor: inp_pos not found in cgraph"); + throw std::runtime_error("get_inp_pos_tensor: inp_pos not found in cgraph"); +} + +bool get_is_prefill(const ggml_tensor * inp_pos) { + return inp_pos->ne[0] > 1; +} + +#pragma GCC diagnostic pop diff --git a/ggml/src/ggml-openvino/utils.h b/ggml/src/ggml-openvino/utils.h new file mode 100644 index 0000000000..656573d138 --- /dev/null +++ b/ggml/src/ggml-openvino/utils.h @@ -0,0 +1,123 @@ +#include "ggml-backend-impl.h" +#include "ggml-decoder.h" +#include "ggml-impl.h" + +#include +#include +#include +#include +#include +#include +#include +#include + +struct graph_key { + int n_nodes; + std::string first_node_name; + std::string last_node_name; + + graph_key(const ggml_cgraph * cgraph) : n_nodes(cgraph->n_nodes) { + if (n_nodes > 0) { + first_node_name = cgraph->nodes[0]->name; + last_node_name = cgraph->nodes[n_nodes - 1]->name; + } + } + + bool operator==(const graph_key & other) const { + return n_nodes == other.n_nodes && first_node_name == other.first_node_name && + last_node_name == other.last_node_name; + } +}; + +struct graph_key_hash { + size_t operator()(const graph_key & key) const { + size_t h = std::hash{}(key.n_nodes); + if (key.n_nodes > 0) { + h ^= std::hash{}(key.first_node_name) + 0x9e3779b9 + (h << 6) + (h >> 2); + h ^= std::hash{}(key.last_node_name) + 0x9e3779b9 + (h << 6) + (h >> 2); + } + return h; + } +}; + +struct ov_runtime_context { + std::mutex ov_compute_mutex; + std::string device; + bool stateful; + std::unordered_map, graph_key_hash> decoder_cache; + std::unordered_map, graph_key_hash> infer_request_cache; + std::unordered_map, graph_key_hash> infer_request_cache_prefill; + std::unordered_map, graph_key_hash> ov_input_names_cache; + std::unordered_map, graph_key_hash> ov_output_names_cache; + //TODO: Stateful is only supported for single request at a time. + // Simultanous stateful inference request support to be added. + size_t stateful_kv_size; + std::map kv_state_input_name_map; + + ov_runtime_context() : + device("CPU"), + stateful(false), + stateful_kv_size(0) {} +}; + +enum ggml_status ov_graph_compute(struct ggml_cgraph * cgraph, ggml_backend_t backend); + +enum ggml_status ov_graph_compute_dynamic(struct ggml_cgraph * cgraph, std::shared_ptr r_ctx); +enum ggml_status ov_graph_compute_static(struct ggml_cgraph * cgraph, std::shared_ptr r_ctx); + +size_t checksum(const void * data, size_t size); + +void print_input_tensor_info(const std::string & name, const ov::Tensor & tensor); + +void print_output_tensor_info(const std::string & name, const ov::Tensor & tensor, const void * output_dst); + +template +std::vector pad_input(const T * data, + size_t rows, + size_t cols, + size_t padded_rows, + size_t padded_cols, + T pad_value) { + std::vector padded(padded_rows * padded_cols, pad_value); + + for (size_t i = 0; i < std::min(rows, padded_rows); ++i) { + for (size_t j = 0; j < std::min(cols, padded_cols); ++j) { + padded[i * padded_cols + j] = data[i * cols + j]; + } + } + + return padded; +} + +template +std::vector pad_input(const ggml_tensor * tensor, size_t padded_rows, size_t padded_cols, T pad_value) { + return pad_input(reinterpret_cast(tensor->data), + static_cast(tensor->ne[1]), // rows + static_cast(tensor->ne[0]), // cols + padded_rows, padded_cols, pad_value); +} + +void set_zero_diagonal(std::vector & matrix, size_t rows, size_t cols); + +const ggml_tensor * get_inp_pos_tensor(struct ggml_cgraph * cgraph); + +bool get_is_prefill(const ggml_tensor * inp_pos); + +ov::Tensor get_ov_input_tensor(std::shared_ptr ggml_decoder, const std::string & param_name); +ov::Tensor get_ov_input_tensor_static_decode(std::shared_ptr ggml_decoder, + const std::string & param_name); +ov::Tensor get_ov_input_tensor_static_prefill(std::shared_ptr ggml_decoder, + const std::string & param_name, + int chunk_index); + +ov::Tensor create_ov_output_tensor(std::shared_ptr ggml_decoder, + std::shared_ptr infer_request, + int output_index, + const ggml_tensor * ggml_tensor); + +bool is_naive(struct ggml_cgraph * cgraph); + +enum ggml_status naive_compute(struct ggml_cgraph * cgraph, + ov::Core & core, + const std::string & device, + const ov::AnyMap & config); diff --git a/ggml/src/ggml-quants.c b/ggml/src/ggml-quants.c index e8e25633fb..48695a61ea 100644 --- a/ggml/src/ggml-quants.c +++ b/ggml/src/ggml-quants.c @@ -304,6 +304,41 @@ void quantize_row_mxfp4_ref(const float * GGML_RESTRICT x, block_mxfp4 * GGML_RE } } +void quantize_row_nvfp4_ref(const float * GGML_RESTRICT x, block_nvfp4 * GGML_RESTRICT y, int64_t k) { + static const int qk = QK_NVFP4; + static const int qk_sub = QK_NVFP4_SUB; + static const int n_sub = QK_NVFP4 / QK_NVFP4_SUB; + + assert(k % qk == 0); + + const int nb = k / qk; + + for (int i = 0; i < nb; i++) { + for (int s = 0; s < n_sub; s++) { + const float * xb = x + i*qk + s*qk_sub; + + float amax = 0.0f; + for (int j = 0; j < qk_sub; j++) { + if (amax < fabsf(xb[j])) { + amax = fabsf(xb[j]); + } + } + + // UE4M3 scale: amax / 6.0 maps the max E2M1 value (6.0) to amax + const uint8_t ue = ggml_fp32_to_ue4m3(amax / 6.0f); + y[i].d[s] = ue; + const float d = ggml_ue4m3_to_fp32(ue); + + for (int j = 0; j < qk_sub/2; ++j) { + const uint8_t x0 = best_index_mxfp4(xb[0 + j], d); + const uint8_t x1 = best_index_mxfp4(xb[qk_sub/2 + j], d); + + y[i].qs[s*(qk_sub/2) + j] = x0 | (x1 << 4); + } + } + } +} + void dequantize_row_q4_0(const block_q4_0 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k) { static const int qk = QK4_0; @@ -434,6 +469,31 @@ void dequantize_row_mxfp4(const block_mxfp4 * GGML_RESTRICT x, float * GGML_REST } } +void dequantize_row_nvfp4(const block_nvfp4 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k) { + static const int qk = QK_NVFP4; + static const int qk_sub = QK_NVFP4_SUB; + static const int n_sub = QK_NVFP4 / QK_NVFP4_SUB; + + assert(k % qk == 0); + + const int nb = k / qk; + + for (int i = 0; i < nb; i++) { + for (int s = 0; s < n_sub; s++) { + const float d = ggml_ue4m3_to_fp32(x[i].d[s]); + float * yb = y + i*qk + s*qk_sub; + + for (int j = 0; j < qk_sub/2; ++j) { + const int8_t v0 = kvalues_mxfp4[x[i].qs[s*(qk_sub/2) + j] & 0x0F]; + const int8_t v1 = kvalues_mxfp4[x[i].qs[s*(qk_sub/2) + j] >> 4]; + + yb[j + 0 ] = v0*d; + yb[j + qk_sub/2] = v1*d; + } + } + } +} + // // 2-6 bit quantization in super-blocks // @@ -2098,6 +2158,12 @@ size_t quantize_mxfp4(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, return nrow * ggml_row_size(GGML_TYPE_MXFP4, n_per_row); } +size_t quantize_nvfp4(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) { + GGML_UNUSED(quant_weights); + quantize_row_nvfp4_ref(src, dst, (int64_t)nrow*n_per_row); + return nrow * ggml_row_size(GGML_TYPE_NVFP4, n_per_row); +} + // ====================== Ternary (de)-quantization (BitNet b1.58 and TriLMs) void quantize_row_tq1_0_ref(const float * GGML_RESTRICT x, block_tq1_0 * GGML_RESTRICT y, int64_t k) { @@ -4701,7 +4767,7 @@ static void quantize_row_iq4_nl_impl(const int super_block_size, const int block sumqx += w*q*xb[j]; sumq2 += w*q*q; } - d = sumqx/sumq2; + d = sumq2 > 0 ? sumqx/sumq2 : 0.f; float best = d*sumqx; for (int itry = -ntry; itry <= ntry; ++itry) { id = (itry + values[0])/max; @@ -5244,6 +5310,12 @@ bool ggml_validate_row_data(enum ggml_type type, const void * data, size_t nbyte { VALIDATE_ROW_DATA_E_E8M0_IMPL(block_mxfp4, data, nb); } break; + case GGML_TYPE_NVFP4: + { + // UE4M3 scales are uint8_t — all byte values are valid + GGML_UNUSED(data); + GGML_UNUSED(nb); + } break; case GGML_TYPE_Q2_K: { VALIDATE_ROW_DATA_DM_F16_IMPL(block_q2_K, data, nb, d, dmin); diff --git a/ggml/src/ggml-quants.h b/ggml/src/ggml-quants.h index 3b688f31c2..00604f75c0 100644 --- a/ggml/src/ggml-quants.h +++ b/ggml/src/ggml-quants.h @@ -22,6 +22,7 @@ GGML_API void quantize_row_q8_0_ref(const float * GGML_RESTRICT x, block_q8_0 * GGML_API void quantize_row_q8_1_ref(const float * GGML_RESTRICT x, block_q8_1 * GGML_RESTRICT y, int64_t k); GGML_API void quantize_row_mxfp4_ref(const float * GGML_RESTRICT x, block_mxfp4 * GGML_RESTRICT y, int64_t k); +GGML_API void quantize_row_nvfp4_ref(const float * GGML_RESTRICT x, block_nvfp4 * GGML_RESTRICT y, int64_t k); GGML_API void quantize_row_q2_K_ref(const float * GGML_RESTRICT x, block_q2_K * GGML_RESTRICT y, int64_t k); GGML_API void quantize_row_q3_K_ref(const float * GGML_RESTRICT x, block_q3_K * GGML_RESTRICT y, int64_t k); @@ -48,6 +49,7 @@ GGML_API void dequantize_row_q8_0(const block_q8_0 * GGML_RESTRICT x, float * GG //GGML_API void dequantize_row_q8_1(const block_q8_1 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k); GGML_API void dequantize_row_mxfp4(const block_mxfp4 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k); +GGML_API void dequantize_row_nvfp4(const block_nvfp4 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k); GGML_API void dequantize_row_q2_K(const block_q2_K * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k); GGML_API void dequantize_row_q3_K(const block_q3_K * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k); @@ -95,6 +97,7 @@ GGML_API size_t quantize_q5_1(const float * GGML_RESTRICT src, void * GGML_RESTR GGML_API size_t quantize_q8_0(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix); GGML_API size_t quantize_mxfp4(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix); +GGML_API size_t quantize_nvfp4(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix); GGML_API void iq2xs_init_impl(enum ggml_type type); GGML_API void iq2xs_free_impl(enum ggml_type type); diff --git a/ggml/src/ggml-rpc/ggml-rpc.cpp b/ggml/src/ggml-rpc/ggml-rpc.cpp index d7c8ad8c16..5d8defad20 100644 --- a/ggml/src/ggml-rpc/ggml-rpc.cpp +++ b/ggml/src/ggml-rpc/ggml-rpc.cpp @@ -1162,12 +1162,18 @@ ggml_tensor * rpc_server::deserialize_tensor(struct ggml_context * ctx, const rp return nullptr; } + // Fix: Prevent division by zero if blck_size is 0 (e.g., deprecated types) + if (ggml_blck_size((enum ggml_type)tensor->type) == 0) { + GGML_LOG_ERROR("[%s] invalid tensor type received (blck_size is 0): %u\n", __func__, tensor->type); + return nullptr; + } + ggml_tensor * result = ggml_new_tensor_4d(ctx, (ggml_type) tensor->type, tensor->ne[0], tensor->ne[1], tensor->ne[2], tensor->ne[3]); // ggml_new_tensor_4d might fail if dimensions are invalid, although less likely to crash than invalid type if (result == nullptr) { - GGML_LOG_ERROR("[%s] ggml_new_tensor_4d failed for type %u\\n", __func__, tensor->type); + GGML_LOG_ERROR("[%s] ggml_new_tensor_4d failed for type %u\n", __func__, tensor->type); return nullptr; } diff --git a/ggml/src/ggml-sycl/CMakeLists.txt b/ggml/src/ggml-sycl/CMakeLists.txt index eefdd9725c..7b07b22787 100644 --- a/ggml/src/ggml-sycl/CMakeLists.txt +++ b/ggml/src/ggml-sycl/CMakeLists.txt @@ -25,6 +25,11 @@ ggml_add_backend_library(ggml-sycl file(GLOB GGML_HEADERS_SYCL "*.hpp") file(GLOB GGML_SOURCES_SYCL "*.cpp") +file(GLOB SRCS "template-instances/fattn-tile*.cpp") +list(APPEND GGML_SOURCES_SYCL ${SRCS}) +file(GLOB SRCS "template-instances/fattn-vec*.cpp") +list(APPEND GGML_SOURCES_SYCL ${SRCS}) + target_sources(ggml-sycl PRIVATE ${GGML_HEADERS_SYCL} ${GGML_SOURCES_SYCL}) if (WIN32) @@ -145,6 +150,7 @@ else() endif() if (GGML_SYCL_GRAPH) + message(STATUS "find GGML_SYCL_GRAPH") target_compile_definitions(ggml-sycl PRIVATE GGML_SYCL_GRAPH) endif() diff --git a/ggml/src/ggml-sycl/backend.hpp b/ggml/src/ggml-sycl/backend.hpp index 75657f3fca..a526d8e58b 100644 --- a/ggml/src/ggml-sycl/backend.hpp +++ b/ggml/src/ggml-sycl/backend.hpp @@ -23,6 +23,8 @@ #include "dequantize.hpp" #include "dmmv.hpp" #include "element_wise.hpp" +#include "fattn.hpp" +#include "gated_delta_net.hpp" #include "gla.hpp" #include "im2col.hpp" #include "mmq.hpp" @@ -30,6 +32,7 @@ #include "norm.hpp" #include "outprod.hpp" #include "pad.hpp" +#include "pad_reflect_1d.hpp" #include "quantize.hpp" #include "quants.hpp" #include "roll.hpp" @@ -38,8 +41,8 @@ #include "ssm_conv.hpp" #include "softmax.hpp" #include "tsembd.hpp" +#include "upscale.hpp" #include "wkv.hpp" -#include "pad_reflect_1d.hpp" #endif // GGML_SYCL_BACKEND_HPP diff --git a/ggml/src/ggml-sycl/common.hpp b/ggml/src/ggml-sycl/common.hpp index 04c9e1d786..fcb0db99c6 100644 --- a/ggml/src/ggml-sycl/common.hpp +++ b/ggml/src/ggml-sycl/common.hpp @@ -19,10 +19,13 @@ #include #include "dpct/helper.hpp" +#include "ggml.h" +#include "ggml-impl.h" #include "ggml-sycl.h" #include "presets.hpp" #include "sycl_hw.hpp" +namespace syclexp = sycl::ext::oneapi::experimental; #if GGML_SYCL_DNNL #include "dnnl.hpp" @@ -31,6 +34,9 @@ #define GGML_COMMON_DECL_SYCL #define GGML_COMMON_IMPL_SYCL +#define SYCL_FLASH_ATTN //remove it to disable FLASH_ATTENTION in building. +#define SYCL_FAST_FP16 //don't change. remove it will break fattn-tile.hpp building + /* suppress warning spam */ #pragma clang diagnostic push #pragma clang diagnostic ignored "-Wnested-anon-types" @@ -45,6 +51,8 @@ void ggml_sycl_host_free(void* ptr); extern int g_ggml_sycl_debug; extern int g_ggml_sycl_disable_optimize; extern int g_ggml_sycl_prioritize_dmmv; +extern int g_ggml_sycl_enable_flash_attention; + #if defined(__clang__) && __has_builtin(__builtin_expect) // Hint the optimizer to pipeline the more likely following instruction in branches @@ -170,6 +178,10 @@ static size_t g_scratch_offset = 0; int get_current_device_id(); +inline int ggml_sycl_get_device() { + return get_current_device_id(); +} + inline dpct::err0 ggml_sycl_set_device(const int device) try { int current_device_id; SYCL_CHECK(CHECK_TRY_ERROR(current_device_id = get_current_device_id())); @@ -194,11 +206,14 @@ struct optimize_feature { }; struct sycl_device_info { - int cc; // compute capability + int cc; // compute capability int nsm; // number of streaming multiprocessors (CUDA) maps to the maximum // number of compute units on a SYCL device. // size_t smpb; // max. shared memory per block size_t smpbo; // max. shared memory per block (with opt-in) + int warp_size; // WARP_SIZE(16)|WARP_32_SIZE(32)|WARP_16_SIZE(16). For Intel GPU, 16 is better in most cases. Some OP support 32 only. + int max_wg_per_cu; // max work groups per compute unit - refer to + // cudaOccupancyMaxActiveBlocksPerMultiprocessor bool vmm; // virtual memory support size_t total_vram; //sycl_hw_info hw_info; \\ device id and aarch, currently not used @@ -435,13 +450,15 @@ warp_reduce_sum(sycl::float2 a, const sycl::nd_item<3>& item_ct1) { return a; } -template +/* use WARP_SIZE or WARP_32_SIZE*/ +template static __dpct_inline__ int warp_reduce_sum(int x) { return sycl::reduce_over_group( sycl::ext::oneapi::this_work_item::get_sub_group(), x, sycl::plus<>()); } -template +/* use WARP_SIZE or WARP_32_SIZE*/ +template static __dpct_inline__ float warp_reduce_sum(float x) { #pragma unroll for (int offset = width / 2; offset > 0; offset >>= 1) { @@ -451,7 +468,19 @@ static __dpct_inline__ float warp_reduce_sum(float x) { return x; } -template +/* use WARP_SIZE or WARP_32_SIZE*/ +template +static __dpct_inline__ float warp_reduce_sum(float x, const sycl::nd_item<3>& item_ct1) { +#pragma unroll + for (int offset = width / 2; offset > 0; offset >>= 1) { + x += dpct::permute_sub_group_by_xor( + item_ct1.get_sub_group(), x, offset); + } + return x; +} + +/* use WARP_SIZE or WARP_32_SIZE*/ +template static __dpct_inline__ sycl::float2 warp_reduce_sum(sycl::float2 a) { #pragma unroll for (int offset = width / 2; offset > 0; offset >>= 1) { @@ -465,7 +494,8 @@ static __dpct_inline__ sycl::float2 warp_reduce_sum(sycl::float2 a) { return a; } -template +/* use WARP_SIZE or WARP_32_SIZE*/ +template static __dpct_inline__ sycl::half2 warp_reduce_sum(sycl::half2 a) { #pragma unroll for (int offset = width / 2; offset > 0; offset >>= 1) { @@ -481,7 +511,52 @@ static constexpr int ggml_sycl_get_physical_warp_size() { return WARP_SIZE; } -template +/* use WARP_SIZE or WARP_32_SIZE*/ +template +static __dpct_inline__ int warp_reduce_all(int x) { + if (width == ggml_sycl_get_physical_warp_size()) { + return sycl::all_of_group( + sycl::ext::oneapi::this_work_item::get_sub_group(), + (~0xffffffff & + (0x1 << sycl::ext::oneapi::this_work_item::get_sub_group() + .get_local_linear_id())) || + x); + } else { +#pragma unroll + for (int offset = width / 2; offset > 0; offset >>= 1) { + x = dpct::permute_sub_group_by_xor( + sycl::ext::oneapi::this_work_item::get_sub_group(), x, + offset, width) && + x; + } + return x; + } +} + +/* use WARP_SIZE or WARP_32_SIZE*/ +template +static __dpct_inline__ int warp_reduce_any(int x) { + if (width == ggml_sycl_get_physical_warp_size()) { + return sycl::any_of_group( + sycl::ext::oneapi::this_work_item::get_sub_group(), + (0xffffffff & + (0x1 << sycl::ext::oneapi::this_work_item::get_sub_group() + .get_local_linear_id())) && + x); + } else { +#pragma unroll + for (int offset = width / 2; offset > 0; offset >>= 1) { + x = dpct::permute_sub_group_by_xor( + sycl::ext::oneapi::this_work_item::get_sub_group(), x, + offset, width) || + x; + } + return x; + } +} + +/* use WARP_SIZE or WARP_32_SIZE*/ +template static __dpct_inline__ float warp_reduce_max(float x) { #pragma unroll for (int offset = width / 2; offset > 0; offset >>= 1) { @@ -629,6 +704,42 @@ static const sycl::uint3 init_fastdiv_values(uint32_t d) { return sycl::uint3(mp, L, d); } +// Maximum number of bytes that can be copied in a single instruction. +// Set by test result. +static constexpr int ggml_sycl_get_max_cpy_bytes() { + return 16; +} + +// Aligned memory transfers of 8/16 bytes can be faster than 2 transfers with 4 bytes. +template +static __dpct_inline__ void ggml_sycl_memcpy_1(void * dst, const void * src) { + if constexpr (alignment != 0) { + static_assert(nbytes % alignment == 0, "bad alignment"); + } + constexpr int nb_per_cpy = alignment == 0 ? nbytes : alignment; + +#pragma unroll + for (int i = 0; i < nbytes/nb_per_cpy; ++i) { + if constexpr (nb_per_cpy == 1) { + ((char *) dst)[i] = ((const char *) src)[i]; + } else if constexpr (nb_per_cpy == 2) { + ((short *) dst)[i] = ((const short *) src)[i]; + } else if constexpr (nb_per_cpy == 4) { + ((int *) dst)[i] = ((const int *) src)[i]; + } else if constexpr (nb_per_cpy == 8) { + ((sycl::int2 *) dst)[i] = ((const sycl::int2 *) src)[i]; + } else if constexpr (nb_per_cpy == 16) { + ((sycl::int4 *) dst)[i] = ((const sycl::int4 *) src)[i]; + } else { + static_assert(nbytes == 0 && nbytes == -1, "bad nbytes"); + } + } +} +template +sycl::half2 __dpct_inline__ make_half2( T x, T y) { + sycl::half2 res(static_cast(x),static_cast(y)); + return res; +} static __dpct_inline__ uint32_t fastdiv(uint32_t n, const sycl::uint3 fastdiv_values) { const uint32_t hi = sycl::mul_hi(n, fastdiv_values.x()); @@ -636,6 +747,17 @@ static __dpct_inline__ uint32_t fastdiv(uint32_t n, const sycl::uint3 fastdiv_va } +template +sycl::float2 __dpct_inline__ make_float2( T x, T y) { + sycl::float2 res(static_cast(x),static_cast(y)); + return res; +} + +sycl::float2 __dpct_inline__ __half22float2(sycl::half2 &H) { + sycl::float2 float2_value(static_cast(H.x()), static_cast(H.y())); + return float2_value; +} + static __dpct_inline__ sycl::uint2 fast_div_modulo(uint32_t n, const sycl::uint3 fastdiv_values) { const uint32_t div_val = fastdiv(n, fastdiv_values); const uint32_t mod_val = n - div_val * fastdiv_values.z(); @@ -659,5 +781,188 @@ static __dpct_inline__ float ggml_sycl_e8m0_to_fp32(uint8_t x) { return result; } +sycl::float2 __dpct_inline__ __half22float2(const sycl::half2 &H) { + sycl::float2 float2_value(static_cast(H.x()), static_cast(H.y())); + return float2_value; +} + +float __dpct_inline__ __half2float(sycl::half H) { + return static_cast(H); +} + +static __dpct_inline__ void ggml_sycl_mad(float & acc, const float v, const float u) { + acc += v*u; +} + +static __dpct_inline__ void ggml_sycl_mad(float & acc, const sycl::float2 v, const sycl::float2 u) { + acc += v.x() * u.x(); + acc += v.y() * u.y(); +} + +static __dpct_inline__ void ggml_sycl_mad(float & acc, const sycl::half2 v, const sycl::half2 u) { +#ifdef GGML_SYCL_F16 + const sycl::float2 tmp = (v * u).template convert(); + acc += tmp.x() + tmp.y(); +#else + const sycl::float2 tmpv = __half22float2(v); + const sycl::float2 tmpu = __half22float2(u); + acc += tmpv.x() * tmpu.x(); + acc += tmpv.y() * tmpu.y(); +#endif // GGML_SYCL_F16 +} + +static __dpct_inline__ void ggml_sycl_mad(sycl::half2 & acc, const sycl::half2 v, const sycl::half2 u) { +#ifdef GGML_SYCL_F16 + acc += v*u; +#else + const sycl::float2 tmpv = __half22float2(v); + const sycl::float2 tmpu = __half22float2(u); + sycl::float2 tmpacc = __half22float2(acc); + // tmpacc.x += tmpv.x() * tmpu.x(); + // tmpacc.y += tmpv.y() * tmpu.y(); + sycl::float2 tmp1(tmpacc.x() + tmpv.x() * tmpu.x(), tmpacc.y() + tmpv.y() * tmpu.y()); + acc = make_half2(tmp1.x(), tmp1.y()); +#endif // GGML_SYCL_F16 +} + +template +struct ggml_sycl_unroll { + template + void operator()(const Func & f, Args... args) const { + f(n - 1, args...); + ggml_sycl_unroll{}(f, args...); + } +}; + +template <> +struct ggml_sycl_unroll<1> { + template + void operator()(const Func & f, Args... args) const { + f(0, args...); + } +}; + +static __dpct_inline__ sycl::half2 ggml_sycl_hmax2(const sycl::half2 a, const sycl::half2 b) { + sycl::half2 ret; + reinterpret_cast(ret.x()) = + sycl::vec(sycl::fmax(a[0], b[0])).convert()[0]; + reinterpret_cast(ret.y()) = + sycl::vec(sycl::fmax(a[1], b[1])).convert()[0]; + return ret; +} + +static __dpct_inline__ sycl::half ggml_sycl_hmax(const sycl::half a, const sycl::half b) { + return sycl::vec( + sycl::fmax(sycl::vec(a).convert()[0], + sycl::vec(b).convert()[0])) + .convert()[0]; +} + +static __dpct_inline__ uint32_t __hgt2_mask(const sycl::half2 a, const sycl::half2 b) { + const uint32_t mask_low = 0x0000FFFF * (float(a[0]) > float(b[0])); + const uint32_t mask_high = 0xFFFF0000 * (float(a[1]) > float(b[1])); + return mask_low | mask_high; +} + +static __dpct_inline__ uint32_t fastmodulo(uint32_t n, const sycl::uint3 fastdiv_values) { + // expects fastdiv_values to contain in (see init_fastdiv_values) + return n - fastdiv(n, fastdiv_values) * fastdiv_values.z(); +} + +static bool fast_fp16_available(const int cc) { + GGML_UNUSED(cc); + return true; //Intel GPUs always support FP16. +} + +enum class block_reduce_method { + MAX, + SUM, +}; + +template +struct block_reduce_policy; + +template +inline constexpr bool is_any = (std::is_same_v || ...); + +template +inline constexpr bool ggml_sycl_dependent_false_v = false; + +#define WARP_32_SIZE 32 + +template struct block_reduce_policy { + static T reduce(T val) { + if constexpr (is_any) { + return warp_reduce_sum(val); + } else { + static_assert(ggml_sycl_dependent_false_v, "Unsupported type for block reduce sum"); + } + } + + static T sentinel() { + if constexpr (std::is_same_v) { + return 0.0f; + } else if constexpr (std::is_same_v) { + return sycl::float2(0.0f, 0.0f); + } else if constexpr (std::is_same_v) { + return sycl::half2(0.0f, 0.0f); + } else if constexpr (std::is_same_v) { + return 0; + } else { + static_assert(ggml_sycl_dependent_false_v, "Unsupported type for block reduce sum"); + } + } +}; + +template struct block_reduce_policy { + static T reduce(T val) { + if constexpr (is_any) { + return warp_reduce_max(val); + } else { + static_assert(ggml_sycl_dependent_false_v, "Unsupported type for block reduce max"); + } + } + + static T sentinel() { + if constexpr (std::is_same_v) { + return -INFINITY; + } else if constexpr (std::is_same_v) { + return sycl::half2(-INFINITY, -INFINITY); + } else { + static_assert(ggml_sycl_dependent_false_v, "Unsupported type for block reduce max"); + } + } +}; + + +template +static T block_reduce(T val, T * shared_vals, int block_size_template) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + val = block_reduce_policy::reduce(val); + const int block_size = block_size_template == 0 ? item_ct1.get_local_range(2) : block_size_template; + const int nthreads = item_ct1.get_local_range(2); + const int nwarps = nthreads / WARP_SIZE; + + if (block_size > warp_size) { + assert((block_size <= 1024) && (block_size % warp_size) == 0); + const int warp_id = item_ct1.get_local_id(2) / warp_size; + const int lane_id = item_ct1.get_local_id(2) % warp_size; + if (lane_id == 0) { + shared_vals[warp_id] = val; + } + item_ct1.barrier(sycl::access::fence_space::local_space); + + size_t nreduce = nwarps / WARP_SIZE; + float tmp = 0.f; + if (lane_id < (static_cast(block_size) / warp_size)) { + for (size_t i = 0; i < nreduce; i += 1) + { + tmp += shared_vals[lane_id + i * WARP_SIZE]; + } + } + return block_reduce_policy::reduce(tmp); + } + return val; +} #endif // GGML_SYCL_COMMON_HPP diff --git a/ggml/src/ggml-sycl/convert.cpp b/ggml/src/ggml-sycl/convert.cpp index 8bdae36458..d17aca2cac 100644 --- a/ggml/src/ggml-sycl/convert.cpp +++ b/ggml/src/ggml-sycl/convert.cpp @@ -482,6 +482,63 @@ static void dequantize_row_mxfp4_sycl(const void * vx, dst_t * y, const int64_t }); } +template +static void dequantize_block_nc(const void * __restrict__ vx, dst_t * __restrict__ y, + const int64_t ne00, const int64_t ne01, const int64_t ne02, + const int64_t s01, const int64_t s02, const int64_t s03) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const int64_t i00 = 2 * (int64_t(item_ct1.get_local_range(2)) * item_ct1.get_group(2) + item_ct1.get_local_id(2)); + + if (i00 >= ne00) { + return; + } + + const int64_t i01 = item_ct1.get_group(1); + const int64_t i02 = item_ct1.get_group(0) % ne02; + const int64_t i03 = item_ct1.get_group(0) / ne02; + + const int64_t ibx0 = i03*s03 + i02*s02 + i01*s01; + + const int64_t ib = ibx0 + i00/qk; // block index + const int64_t iqs = (i00%qk)/qr; // quant index + const int64_t iybs = i00 - i00%qk; // y block start index + const int64_t y_offset = qr == 1 ? 1 : qk/2; + + // dequantize + #ifdef GGML_SYCL_F16 + sycl::half2 v; + #else + sycl::float2 v; + #endif + + dequantize_kernel(vx, ib, iqs, v); + + const int64_t iy0 = ((i03*ne02 + i02)*ne01 + i01)*ne00 + iybs + iqs; + y[iy0 + 0] = ggml_sycl_cast(v.x()); + y[iy0 + y_offset] = ggml_sycl_cast(v.y()); +} + + +template +static void dequantize_block_nc_sycl(const void * vx, + dst_t * y, + const int64_t ne00, + const int64_t ne01, + const int64_t ne02, + const int64_t ne03, + const int64_t s01, + const int64_t s02, + const int64_t s03, + dpct::queue_ptr stream) { + const dpct::dim3 num_blocks((ne00 + 2 * SYCL_DEQUANTIZE_BLOCK_SIZE - 1) / (2 * SYCL_DEQUANTIZE_BLOCK_SIZE), ne01, + ne02 * ne03); + stream->parallel_for(sycl::nd_range<3>(num_blocks * sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE), + sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE)), + [=](sycl::nd_item<3> item_ct1) { + GGML_UNUSED(item_ct1); + dequantize_block_nc(vx, y, ne00, ne01, ne02, s01, s02, s03); + }); +} template static void convert_unary_nc(const void * __restrict__ vx, dst_t * __restrict__ y, const int64_t ne00, const int64_t ne01, const int64_t ne02, const int64_t s01, const int64_t s02, const int64_t s03, @@ -662,7 +719,8 @@ to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type, ggml_tensor *dst) { } } -to_fp16_nc_sycl_t get_to_fp16_nc_sycl(ggml_type type) { + +to_fp16_nc_sycl_t ggml_get_to_fp16_nc_sycl(ggml_type type) { switch (type) { case GGML_TYPE_F32: return convert_unary_nc_sycl; @@ -670,6 +728,16 @@ to_fp16_nc_sycl_t get_to_fp16_nc_sycl(ggml_type type) { case GGML_TYPE_BF16: return convert_unary_nc_sycl; #endif + case GGML_TYPE_Q4_0: + return dequantize_block_nc_sycl; + case GGML_TYPE_Q4_1: + return dequantize_block_nc_sycl; + case GGML_TYPE_Q5_0: + return dequantize_block_nc_sycl; + case GGML_TYPE_Q5_1: + return dequantize_block_nc_sycl; + case GGML_TYPE_Q8_0: + return dequantize_block_nc_sycl; default: return nullptr; } diff --git a/ggml/src/ggml-sycl/convert.hpp b/ggml/src/ggml-sycl/convert.hpp index f8cb573e36..6e621f2154 100644 --- a/ggml/src/ggml-sycl/convert.hpp +++ b/ggml/src/ggml-sycl/convert.hpp @@ -29,6 +29,27 @@ using to_t_nc_sycl_t = void (*)(const void * x, T * y, int64_t ne00, int64_t ne0 int64_t s01, int64_t s02, int64_t s03, dpct::queue_ptr queue); typedef to_t_nc_sycl_t to_fp16_nc_sycl_t; -to_fp16_nc_sycl_t get_to_fp16_nc_sycl(ggml_type type); +to_fp16_nc_sycl_t ggml_get_to_fp16_nc_sycl(ggml_type type); + +template + inline dst_t ggml_sycl_cast(src_t x) { + if constexpr (std::is_same_v) { + return x; + } else if constexpr (std::is_same_v) { + return sycl::ext::oneapi::bfloat16(float(x)); + } else if constexpr (std::is_same_v) { + return static_cast(x); + } else if constexpr (std::is_same_v && std::is_same_v) { + return x.template convert(); + } else if constexpr (std::is_same_v && + std::is_same_v>) { + return {x.x, x.y}; + } else if constexpr(std::is_same_v) { + return int32_t(x); + } else { + return float(x); + } +} + #endif // GGML_SYCL_CONVERT_HPP diff --git a/ggml/src/ggml-sycl/count-equal.cpp b/ggml/src/ggml-sycl/count-equal.cpp index b0a8b4820d..4580354cd9 100644 --- a/ggml/src/ggml-sycl/count-equal.cpp +++ b/ggml/src/ggml-sycl/count-equal.cpp @@ -18,7 +18,7 @@ static void count_equal(const T *__restrict__ x, const T *__restrict__ y, nequal += xi == yi; } - nequal = warp_reduce_sum(nequal); + nequal = warp_reduce_sum(nequal); if (item_ct1.get_local_id(2) != 0) { return; diff --git a/ggml/src/ggml-sycl/dpct/helper.hpp b/ggml/src/ggml-sycl/dpct/helper.hpp index ece66a7ac1..791d3cac52 100644 --- a/ggml/src/ggml-sycl/dpct/helper.hpp +++ b/ggml/src/ggml-sycl/dpct/helper.hpp @@ -2997,6 +2997,778 @@ namespace dpct return 0; } + template + class args_selector; + + /// args_selector is a helper class for extracting arguments from an + /// array of pointers to arguments or buffer of arguments to pass to a + /// kernel function. + /// + /// \param R(Ts...) The type of the kernel + /// \param n_nondefault_params The number of nondefault parameters of the + /// kernel (excluding parameters that like sycl::nd_item, etc.) \param + /// n_default_params The number of default parameters of the kernel + /// + /// Example usage: + /// With the following kernel: + /// void foo(sycl::float2 *x, int n, sycl::nd_item<3> item_ct1, float + /// f=.1) {} + /// and with the declaration: + /// args_selector<2, 1, decltype(foo)> selector(kernelParams, extra); + /// we have: + /// selector.get<0>() returns a reference to sycl::float*, + /// selector.get<1>() returns a reference to int, + /// selector.get<2>() returns a reference to float + template + class args_selector { + private: + void **kernel_params; + char *args_buffer; + + template static constexpr int account_for_default_params() { + constexpr int n_total_params = sizeof...(Ts); + if constexpr (i >= n_nondefault_params) { + return n_total_params - n_default_params + + (i - n_nondefault_params); + } else { + return i; + } + } + + public: + /// Get the type of the ith argument of R(Ts...) + /// \param [in] i Index of parameter to get + /// \returns Type of ith parameter + template + using arg_type = std::tuple_element_t(), + std::tuple>; + static constexpr int params_num = sizeof...(Ts); + + private: + template static constexpr int get_offset() { + if constexpr (i == 0) { + // we can assume args_buffer is properly aligned to the + // first argument + return 0; + } else { + constexpr int prev_off = get_offset(); + constexpr int prev_past_end = + prev_off + sizeof(arg_type); + using T = arg_type; + // is the past-the-end of the i-1st element properly aligned + // with the ith element's alignment? + if constexpr (prev_past_end % alignof(T) == 0) { + return prev_past_end; + } + // otherwise bump prev_past_end to match alignment + else { + return prev_past_end + + (alignof(T) - (prev_past_end % alignof(T))); + } + } + } + + static char *get_args_buffer(void **extra) { + if (!extra) + return nullptr; + for (; (std::size_t)*extra != 0; ++extra) { + if ((std::size_t)*extra == 1) { + return static_cast(*(extra + 1)); + } + } + return nullptr; + } + + public: + /// If kernel_params is nonnull, then args_selector will + /// extract arguments from kernel_params. Otherwise, it + /// will extract them from extra. + /// \param [in] kernel_params Array of pointers to arguments + /// a or null pointer. + /// \param [in] extra Array containing pointer to argument buffer. + args_selector(void **kernel_params, void **extra) + : kernel_params(kernel_params), + args_buffer(get_args_buffer(extra)) {} + + /// Get a reference to the ith argument extracted from kernel_params + /// or extra. + /// \param [in] i Index of argument to get + /// \returns Reference to the ith argument + template arg_type &get() { + if (kernel_params) { + return *static_cast *>(kernel_params[i]); + } else { + return *reinterpret_cast *>(args_buffer + + get_offset()); + } + } + }; // COPY from DPCT head file + // /opt/intel/oneapi/dpcpp-ct/latest/include/dpct/util.hpp + + /// Utility class for launching SYCL kernels through kernel + /// function wrapper. + /// For example: + /// A SYCL kernel function: + /// void kernel_func(int *ptr, sycl::nd_item<3> item); + /// Kernel function wrapper: + /// void kernel_func_wrapper(int *ptr) { + /// sycl::queue queue = *dpct::kernel_launcher::_que; + /// unsigned int localMemSize = dpct::kernel_launcher::_local_mem_size; + /// sycl::nd_range<3> nr = dpct::kernel_launcher::_nr; + /// queue.parallel_for( + /// nr, + /// [=](sycl::nd_item<3> item_ct1) { + /// kernel_func(ptr, item_ct1); + /// }); + /// } + /// Then launch the kernel through wrapper like: + /// typedef void(*fpt)(int *); + /// fpt fp = kernel_func_wrapper; + /// dpct::kernel_launcher::launch(fp, dpct::dim3(1), dpct::dim3(1), 0, 0, + /// device_ptr); + /// If the origin function type is erased, then need to register it first: + /// void *fp = (void *)wrapper_register(&kernel_func_wrapper).get(); + /// dpct::kernel_launcher::launch(fp, dpct::dim3(1), dpct::dim3(1), args, + /// 0, 0); + class kernel_launcher { + template + static void launch_helper(FuncT &&func, ArgSelector &selector, + std::index_sequence) { + func(selector.template get()...); + } + static void set_execution_config(dim3 group_range, dim3 local_range, + unsigned int local_mem_size, + queue_ptr que) { + if (que) { + _que = que; + } else { + _que = &get_default_queue(); + } + _nr = sycl::nd_range<3>( + static_cast>(group_range * local_range), + static_cast>(local_range)); + _local_mem_size = local_mem_size; + + + }; + static inline std::mutex kernel_function_ptr_map_mutex; + + public: + /// Variables for storing execution configuration. + static inline thread_local sycl::queue *_que = nullptr; + static inline thread_local sycl::nd_range<3> _nr = sycl::nd_range<3>(); + static inline thread_local unsigned int _local_mem_size = 0; + /// Map for retrieving launchable functor from a raw pointer. + static inline std::map< + const void *, + std::function> + kernel_function_ptr_map = {}; + + /// Registers a kernel function pointer with a corresponding launchable + /// functor. + /// \param [in] func Pointer to the kernel function. + /// \param [in] launcher Functor to handle kernel invocation. + static void register_kernel_ptr( + const void *func, + std::function + launcher) { + std::lock_guard lock(kernel_function_ptr_map_mutex); + kernel_function_ptr_map[func] = std::move(launcher); + } + /// Launches a kernel function with arguments provided directly through + /// kernel function wrapper. + /// \tparam FuncT Type of the kernel function wrapper. + /// \tparam ArgsT Types of kernel arguments. + /// \param [in] func Pointer to the kernel function wrapper. + /// \param [in] group_range SYCL group range. + /// \param [in] local_range SYCL local range. + /// \param [in] local_mem_size The size of local memory required by the + /// kernel function. \param [in] que SYCL queue used to execute kernel. + /// \param [in] args Kernel arguments. + template + static std::enable_if_t, void> + launch(FuncT *func, dim3 group_range, dim3 local_range, + unsigned int local_mem_size, queue_ptr que, ArgsT... args) { + set_execution_config(group_range, local_range, local_mem_size, que); + func(args...); + } + /// Launches a kernel function through registered kernel function + /// wrapper. \param [in] func Pointer to the registered kernel function + /// wrapper. \param [in] group_range SYCL group range. \param [in] + /// local_range SYCL local range. \param [in] args Array of pointers to + /// kernel arguments. \param [in] local_mem_size The size of local + /// memory required by the kernel function. \param [in] que SYCL queue + /// used to execute kernel. + static void launch(const void *func, dim3 group_range, dim3 local_range, + void **args, unsigned int local_mem_size, + queue_ptr que) { + std::lock_guard lock(kernel_function_ptr_map_mutex); + auto Iter = kernel_function_ptr_map.find(func); + if (Iter == kernel_function_ptr_map.end()) { + throw std::runtime_error("dpct::launch() : no registered " + "kernel function wrapper found."); + } + (Iter->second)(group_range, local_range, args, local_mem_size, que); + } + /// Launches a kernel function with packed arguments through kernel + /// function wrapper. + /// \tparam FuncT Type of the kernel function wrapper. + /// \param [in] func Pointer to the kernel function wrapper. + /// \param [in] group_range SYCL group range. + /// \param [in] local_range SYCL local range. + /// \param [in] args Array of pointers to kernel arguments. + /// \param [in] local_mem_size The size of local memory required by the + /// kernel function. \param [in] que SYCL queue used to execute kernel. + template + static std::enable_if_t, void> + launch(FuncT *func, dim3 group_range, dim3 local_range, void **args, + unsigned int local_mem_size, queue_ptr que) { + constexpr size_t p_num = args_selector<0, 0, FuncT>::params_num; + set_execution_config(group_range, local_range, local_mem_size, que); + args_selector selector(args, nullptr); + launch_helper(func, selector, std::make_index_sequence{}); + } + }; // COPY from DPCT head file + // /opt/intel/oneapi/dpcpp-ct/latest/include/dpct/kernel.hpp + + // /opt/intel/oneapi/dpcpp-ct/latest/include/dpct/util.hpp + template + T select_from_sub_group( + sycl::sub_group g, + T x, + int remote_local_id, + int logical_sub_group_size = 32) { + unsigned int start_index = g.get_local_linear_id() / + logical_sub_group_size * + logical_sub_group_size; + return sycl::select_from_group( + g, x, start_index + remote_local_id % logical_sub_group_size); + } + + // /opt/intel/oneapi/dpcpp-ct/latest/include/dpct/math.hpp + template + void ldmatrix(uintptr_t addr, T* m, bool trans = false, unsigned mat = 0) { + auto sg = sycl::ext::oneapi::this_work_item::get_sub_group(); + int lane = sg.get_local_linear_id(); + + int lane_group8_row = lane / 8; + int lane_group8_col = lane % 8; + + if (!trans) { + // calculate the source lane + int src_lane = 2 * lane_group8_row; + if (lane_group8_col >= 4) + src_lane += 1; + + // Broadcast the address from the source lane + auto recv_addr_uintp = + dpct::select_from_sub_group(sg, addr, mat * 8 + src_lane); + + // Cast the received address from uintptr_t to the type of 'm' + auto recv_addr = reinterpret_cast(recv_addr_uintp); + + // Non-transposed load + *m = recv_addr[lane_group8_col % 4]; + } else { + // calculate the source lane + int src_lane = (lane % 4) * 2; + + // Broadcast the address from the source lane + auto recv_addr_uintp_1 = + dpct::select_from_sub_group(sg, addr, mat * 8 + src_lane); + auto recv_addr_uintp_2 = + dpct::select_from_sub_group(sg, addr, mat * 8 + src_lane + 1); + + // Cast the received address from uintptr_t to 'half *' + auto recv_addr_1 = reinterpret_cast(recv_addr_uintp_1); + auto recv_addr_2 = reinterpret_cast(recv_addr_uintp_2); + + // Transposed load + int index = lane / 4; + sycl::half val0 = recv_addr_1[index]; + sycl::half val1 = recv_addr_2[index]; + + // Combine the two 16-bits into one 32-bit value + sycl::half2 val = sycl::half2(val0, val1); + *m = *reinterpret_cast(&val); + } + } + + template + void ldmatrix(uintptr_t addr, T* m1, T* m2, bool trans = false) { + // Load 1st matrix + ldmatrix(addr, m1, trans, 0); + // Load 2nd matrix + ldmatrix(addr, m2, trans, 1); + } + + template + void ldmatrix( + uintptr_t addr, T* m1, T* m2, T* m3, T* m4, bool trans = false) { + // Load 1st matrix + ldmatrix(addr, m1, trans, 0); + // Load 2nd matrix + ldmatrix(addr, m2, trans, 1); + // Load 3rd matrix + ldmatrix(addr, m3, trans, 2); + // Load 4th matrix + ldmatrix(addr, m4, trans, 3); + } + + // /opt/intel/oneapi/dpcpp-ct/latest/include/dpct/math.hpp + + /// A helper struct that defines the pack type for the input matrix + /// fragments + /// of mma() function based on the type of input matrix fragments. + /// The MMAType struct is specialized for different types of input matrices. + /// Currently, the specialization for f16, bf16 and s8 types is defined + /// below. \tparam [in] T The type of the input matrix fragments + template + struct MMAType { + using PackType = uint32_t; + }; + + /// Each work item of a sub-group (limited to size 32) calling this function + /// calculates a subset fragment for the output matrix D using MAD operation + /// on A, B & C matrix fragments (D = A * B + C). Current supported shapes & + /// types: + /// - m8n8k4 (f32.f16.f16.f32) + /// - m8n8k16 (s32.s8.s8.s32) + /// - m16n8k8 (f32.f16.f16.f32 & f32.bf16.bf16.f32) + /// - m16n8k16 (f32.f16.f16.f32 & s32.s8.s8.s32) + /// - m16n8k32 (s32.s8.s8.s32) + /// Here, m, n & k define the shapes of A, B & C matrices respectively + /// (A = [m x k], B = [k x n], C = [m x n]). + /// \tparam [in] M The rows of A, C & D matrices + /// \tparam [in] N The columns of B, C, D matrices + /// \tparam [in] K The columns & rows of A & B matrices respectively + /// \tparam [in] ABType The type of the input matrix (A & B) fragment + /// \tparam [in] CDType The type of the output matrix (C & D) fragment + /// \param [out] d_mat_frag The fragment of the output matrix D to store the + /// result of A * B + C + /// \param [in] a_mat_frag The fragment of the input matrix A to be + /// multiplied with B matrix fragment \param [in] b_mat_frag The fragment of + /// the input matrix B to be multiplied with A matrix fragment \param [in] + /// c_mat_frag The fragment of the input matrix C to be added with the + /// result of A * B fragments + template + void mma( + volatile void** d_mat_frag, + void* a_mat_frag, + void* b_mat_frag, + void* c_mat_frag) { + auto d = reinterpret_cast(d_mat_frag); + auto a = + reinterpret_cast::PackType*>(a_mat_frag); + auto b = + reinterpret_cast::PackType*>(b_mat_frag); + auto c = reinterpret_cast(c_mat_frag); + + auto sg = sycl::ext::oneapi::this_work_item::get_sub_group(); + int lane = sg.get_local_linear_id(); + + static_assert( + (M == 8 && N == 8 && K == 4) || (M == 8 && N == 8 && K == 16) || + (M == 16 && N == 8 && K == 8) || (M == 16 && N == 8 && K == 16) || + (M == 16 && N == 8 && K == 32), + "Unsupported MMA shape!"); + + short row_load_offset = 4 * (lane >> 2); + short col_load_offset = 8 * (lane % 4); + + if constexpr (M == 8 && N == 8 && K == 4) { + if constexpr (std::is_floating_point_v) { + col_load_offset = row_load_offset % 16; + + // Init D matrix with fragments of C matrix + *d[0] = c[0]; + *d[1] = c[1]; + *d[2] = c[2]; + *d[3] = c[3]; + *d[4] = c[4]; + *d[5] = c[5]; + *d[6] = c[6]; + *d[7] = c[7]; + + // Calculate the row and col offset indices to iterate through the row + // & col fragments of A & B matrices + int r_ind = (lane % 2) ? 1 : 0; + int c_ind = ((lane % 4) / 2) ? 2 : 0; + + // Each sub-group is responsible for computing a fragment size of 8*8 + // elements of matrix D for each of 4 MMA computations. + // Each work item computes 8 elements of matrix D by gathering + // their corresponding col & row matrix fragments of length k (4) + // from A & B matrices respectively using below mapping logic: + // row0 = (i % 4) if (lane < 16) else (i % 4) + 4 + // col0 = (lane % 4) + // As each row & col fragment of A & B matrices is distributed across + // 4 work items, each iteration of below loop loads a partial fragment + // of matrix A (row) and matrix B (col) using the row & col offsets. + typename MMAType::PackType recv_a[2], recv_b[2]; + + for (int i = 0; i < 4; i++) { + // Load partial fragment from col0 of matrix A ({a0, a1}) + recv_a[0] = + dpct::select_from_sub_group(sg, a[0], row_load_offset + i); + // Load partial fragment from col0 of matrix A ({a2, a3}) + recv_a[1] = + dpct::select_from_sub_group(sg, a[1], row_load_offset + i); + + // Load partial fragment from row0 of matrix B ({b0, b1}) + recv_b[0] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i); + // Load partial fragment from row0 of matrix B ({b2, b3}) + recv_b[1] = + dpct::select_from_sub_group(sg, b[1], col_load_offset + i); + + auto ra = reinterpret_cast(recv_a); + auto rb = reinterpret_cast(recv_b); + + // Each work item calculates a partial product of A & B matrix + // fragments and adds it to the corresponding D matrix fragment (for + // even work item indices) d0 += col0{ a0 } * row0{ b0 } d1 += col0{ + // a0 } * row0{ b1 } d2 += col1{ a2 } * row0{ b0 } d3 += col1{ a2 } + // * row0{ b1 } (for odd work item indices) d0 += col0{ a1 } * row0{ + // b2 } d1 += col0{ a1 } * row0{ b3 } d2 += col1{ a3 } * row0{ b2 } + // d3 += col1{ a3 } * row0{ b3 } + *d[0] += + static_cast(ra[r_ind]) * static_cast(rb[c_ind]); + *d[1] += static_cast(ra[r_ind]) * + static_cast(rb[c_ind + 1]); + *d[2] += static_cast(ra[r_ind + 2]) * + static_cast(rb[c_ind]); + *d[3] += static_cast(ra[r_ind + 2]) * + static_cast(rb[c_ind + 1]); + + // Load partial fragment from row1 of matrix B ({b0, b1}) + recv_b[0] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i + 16); + // Load partial fragment from row1 of matrix B ({b2, b3}) + recv_b[1] = + dpct::select_from_sub_group(sg, b[1], col_load_offset + i + 16); + + // (for even work item indices) + // d0 += col0{ a0 } * row1{ b0 } + // d1 += col0{ a0 } * row1{ b1 } + // d2 += col1{ a2 } * row1{ b0 } + // d3 += col1{ a2 } * row1{ b1 } + // (for odd work item indices) + // d0 += col0{ a1 } * row1{ b2 } + // d1 += col0{ a1 } * row1{ b3 } + // d2 += col1{ a3 } * row1{ b2 } + // d3 += col1{ a3 } * row1{ b3 } + *d[4] += + static_cast(ra[r_ind]) * static_cast(rb[c_ind]); + *d[5] += static_cast(ra[r_ind]) * + static_cast(rb[c_ind + 1]); + *d[6] += static_cast(ra[r_ind + 2]) * + static_cast(rb[c_ind]); + *d[7] += static_cast(ra[r_ind + 2]) * + static_cast(rb[c_ind + 1]); + } + } + } else if constexpr (M == 8 && N == 8 && K == 16) { + if constexpr (std::is_integral_v) { + // Init D matrix with fragments of C matrix + *d[0] = c[0]; + *d[1] = c[1]; + + // Each sub-group is responsible for computing a fragment size of 16*8 + // elements of matrix D. + // Each work item computes 2 elements of matrix D by gathering + // their corresponding row & col matrix fragments of length k (16) + // from A & B matrices respectively using below mapping logic: + // row0 = ((lane % 4) * 4) + i + // col0 = (lane >> 2) + // As each row & col fragment of A & B matrices is distributed across + // 4 work items, each iteration of below loop loads a partial fragment + // of matrix A (row) and matrix B (col) using the row & col offsets. + for (int i = 0; i < 4; i++) { + typename MMAType::PackType recv_a, recv_b[2]; + + // Load partial fragment from row0 of matrix A ({a0, a1, a2, a3}) + recv_a = dpct::select_from_sub_group(sg, a[0], row_load_offset + i); + // Load partial fragment from col0 of matrix B ({b0, b1, b2, b3}) + recv_b[0] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i); + // Load partial fragment from col1 of matrix B ({b0, b1, b2, b3}) + recv_b[1] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i + 4); + + auto a = reinterpret_cast(&recv_a); + auto b = reinterpret_cast(recv_b); + + // Each work item calculates a partial product of A & B matrix + // fragments and adds it to the corresponding D matrix fragment d0 + // += row0{ a0, a1, a2, a3 } * col0{ b0, b1, b2, b3 } d1 += row0{ + // a0, a1, a2, a3 } * col1{ b0, b1, b2, b3 } d2 += row0{ a0, a1, a2, + // a3 } * col0{ b0, b1, b2, b3 } d3 += row0{ a0, a1, a2, a3 } * + // col1{ b0, b1, b2, b3 } + for (int j = 0; j < 4; j++) { + *d[0] += a[j] * b[j]; + *d[1] += a[j] * b[j + 4]; + } + } + } + } else if constexpr (M == 16 && N == 8 && K == 8) { + if constexpr (std::is_floating_point_v) { + // Init D matrix fragment with C matrix fragment + *d[0] = c[0]; + *d[1] = c[1]; + *d[2] = c[2]; + *d[3] = c[3]; + + // Each sub-group is responsible for computing a fragment size of 16*8 + // elements of matrix D. + // Each work item computes 4 elements of matrix D by gathering + // their corresponding row & col matrix fragments of length k (8) + // from A & B matrices respectively using below mapping logic: + // row0 = (lane >> 2) & row1 = (lane >> 2) + 8 + // col0 = (lane % 4) * 2 + (i & 0x1) + // As each row & col fragment of A & B matrices is distributed across + // 4 work items, each iteration of below loop loads a partial fragment + // of matrix A (row) and matrix B (col) using the row & col offsets. + for (int i = 0; i < 4; i++) { + typename MMAType::PackType recv_a[2], recv_b[2]; + + // Load partial fragment from row0 of matrix A ({a0, a1}) + recv_a[0] = + dpct::select_from_sub_group(sg, a[0], row_load_offset + i); + // Load partial fragment from row1 of matrix A ({a2, a3}) + recv_a[1] = + dpct::select_from_sub_group(sg, a[1], row_load_offset + i); + // Load partial fragment from col0 of matrix B ({b0, b1}) + recv_b[0] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i); + // Load partial fragment from col1 of matrix B ({b0, b1}) + recv_b[1] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i + 4); + + auto ra = reinterpret_cast(recv_a); + auto rb = reinterpret_cast(recv_b); + + // Each work item calculates a partial product of A & B matrix + // fragments and adds it to the corresponding D matrix fragment d0 + // += row0{ a0, a1 } * col0{ b0, b1 } d1 += row0{ a0, a1 } * col1{ + // b0, b1 } d2 += row1{ a2, a3 } * col0{ b0, b1 } d3 += row1{ a2, a3 + // } * col1{ b0, b1 } + for (int j = 0; j < 2; j++) { + *d[0] += static_cast(ra[j]) * static_cast(rb[j]); + *d[1] += + static_cast(ra[j]) * static_cast(rb[j + 2]); + *d[2] += + static_cast(ra[j + 2]) * static_cast(rb[j]); + *d[3] += + static_cast(ra[j + 2]) * static_cast(rb[j + 2]); + } + } + } + } else if constexpr (M == 16 && N == 8 && K == 16) { + if constexpr (std::is_floating_point_v) { + // Init D matrix fragment with C matrix fragment + *d[0] = c[0]; + *d[1] = c[1]; + *d[2] = c[2]; + *d[3] = c[3]; + + // Each sub-group is responsible for computing a fragment size of 16*8 + // elements of matrix D. + // Each work item computes 4 elements of matrix D by gathering + // their corresponding row & col matrix fragments of length k (8) + // from A & B matrices respectively using below mapping logic: + // row0 = (lane >> 2) & row1 = (lane >> 2) + 8 + // col0 = (lane % 4) * 2 & col1 = (lane % 4) * 2 + 1 + // As each row & col fragment of A & B matrices is distributed across + // 4 work items, each iteration of below loop loads a partial fragment + // of matrix A (row) and matrix B (col) using the row & col offsets. + for (int i = 0; i < 4; i++) { + typename MMAType::PackType recv_a[4], recv_b[4]; + + // Load partial fragment from row0 of matrix A ({a0, a1}) + recv_a[0] = + dpct::select_from_sub_group(sg, a[0], row_load_offset + i); + // Load partial fragment from row0 of matrix A ({a2, a3}) + recv_a[1] = + dpct::select_from_sub_group(sg, a[2], row_load_offset + i); + // Load partial fragment from row1 of matrix A ({a0, a1}) + recv_a[2] = + dpct::select_from_sub_group(sg, a[1], row_load_offset + i); + // Load partial fragment from row1 of matrix A ({a2, a3}) + recv_a[3] = + dpct::select_from_sub_group(sg, a[3], row_load_offset + i); + + // Load partial fragment from col0 of matrix B ({b0, b1}) + recv_b[0] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i); + // Load partial fragment from col0 of matrix B ({b2, b3}) + recv_b[1] = + dpct::select_from_sub_group(sg, b[1], col_load_offset + i); + // Load partial fragment from col1 of matrix B ({b0, b1}) + recv_b[2] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + 4 + i); + // Load partial fragment from col1 of matrix B ({b2, b3}) + recv_b[3] = + dpct::select_from_sub_group(sg, b[1], col_load_offset + 4 + i); + + auto ra = reinterpret_cast(recv_a); + auto rb = reinterpret_cast(recv_b); + + // Each work item calculates a partial product of A & B matrix + // fragments and adds it to the corresponding D matrix fragment d0 + // += row0{ a0, a1, a2, a3 } * col0{ b0, b1, b2, b3 } d1 += row0{ + // a0, a1, a2, a3 } * col1{ b0, b1, b2, b3 } d2 += row1{ a0, a1, a2, + // a3 } * col0{ b0, b1, b2, b3 } d3 += row1{ a0, a1, a2, a3 } * + // col1{ b0, b1, b2, b3 } + for (int j = 0; j < 4; j++) { + *d[0] += static_cast(ra[j]) * static_cast(rb[j]); + *d[1] += + static_cast(ra[j]) * static_cast(rb[j + 4]); + *d[2] += + static_cast(ra[j + 4]) * static_cast(rb[j]); + *d[3] += static_cast(ra[j + 4]) * + static_cast(rb[j + 4]); + } + } + } else if constexpr (std::is_integral_v) { + // Init D matrix with fragments of C matrix + *d[0] = c[0]; + *d[1] = c[1]; + *d[2] = c[2]; + *d[3] = c[3]; + + // Each sub-group is responsible for computing a fragment size of 16*8 + // elements of matrix D. + // Each work item computes 4 elements of matrix D by gathering + // their corresponding row & col matrix fragments of length k (8) + // from A & B matrices respectively using below mapping logic: + // row0 = (lane >> 2) & row1 = (lane >> 2) + 8 + // col0 = (lane % 4) * 2 & col1 = (lane % 4) * 2 + 1 + // As each row & col fragment of A & B matrices is distributed across + // 4 work items, each iteration of below loop loads a partial fragment + // of matrix A (row) and matrix B (col) using the row & col offsets. + for (int i = 0; i < 4; i++) { + typename MMAType::PackType recv_a[2], recv_b[2]; + + // Load partial fragment from row0 of matrix A ({a0, a1, a2, a3}) + recv_a[0] = + dpct::select_from_sub_group(sg, a[0], row_load_offset + i); + // Load partial fragment from row1 of matrix A ({a4, a5, a6, a7}) + recv_a[1] = + dpct::select_from_sub_group(sg, a[1], row_load_offset + i); + // Load partial fragment from col0 of matrix B ({b0, b1, b2, b3}) + recv_b[0] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i); + // Load partial fragment from col1 of matrix B ({b4, b5, b6, b7}) + recv_b[1] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i + 4); + + auto ra = reinterpret_cast(recv_a); + auto rb = reinterpret_cast(recv_b); + + // Each work item calculates a partial product of A & B matrix + // fragments and adds it to the corresponding D matrix fragment d0 + // += row0{ a0, a1, a2, a3 } * col0{ b0, b1, b2, b3 } d1 += row0{ + // a0, a1, a2, a3 } * col1{ b4, b5, b6, b7 } d2 += row1{ a4, a5, a6, + // a7 } * col0{ b0, b1, b2, b3 } d3 += row1{ a4, a5, a6, a7 } * + // col1{ b4, b5, b6, b7 } + for (int i = 0; i < 4; i++) { + *d[0] += ra[i] * rb[i]; + *d[1] += ra[i] * rb[i + 4]; + *d[2] += ra[i + 4] * rb[i]; + *d[3] += ra[i + 4] * rb[i + 4]; + } + } + } + } else if constexpr (M == 16 && N == 8 && K == 32) { + if constexpr (std::is_integral_v) { + // Init D matrix with fragments of C matrix + *d[0] = c[0]; + *d[1] = c[1]; + *d[2] = c[2]; + *d[3] = c[3]; + + // Each sub-group is responsible for computing a fragment size of 16*8 + // elements of matrix D. + // Each work item computes 4 elements of matrix D by gathering + // their corresponding row & col matrix fragments of length k (32) + // from A & B matrices respectively using below mapping logic: + // row0 = (lane >> 2) & row1 = (lane >> 2) + 8 + // col0 = ((lane % 4) * 4) + (i & 0x3) & col1 = ((lane % 4) * 4) + (i + // & 0x3) As each row & col fragment of A & B matrices is distributed + // across 4 work items, each iteration of below loop loads a partial + // fragment of matrix A (row) and matrix B (col) using the row & col + // offsets. + for (int i = 0; i < 4; i++) { + typename MMAType::PackType recv_a[2], recv_b[2]; + + // Load partial fragment from row0 of matrix A ({a0, a1, a2, a3}) + recv_a[0] = + dpct::select_from_sub_group(sg, a[0], row_load_offset + i); + // Load partial fragment from row1 of matrix A ({a4, a5, a6, a7}) + recv_a[1] = + dpct::select_from_sub_group(sg, a[1], row_load_offset + i); + // Load partial fragment from col0 of matrix B ({b0, b1, b2, b3}) + recv_b[0] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i); + // Load partial fragment from col1 of matrix B ({b0, b1, b2, b3}) + recv_b[1] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i + 4); + + auto a = reinterpret_cast(recv_a); + auto b = reinterpret_cast(recv_b); + + // Each work item calculates a partial product of A & B matrix + // fragments and adds it to the corresponding D matrix fragment d0 + // += row0{ a0, a1, a2, a3 } * col0{ b0, b1, b2, b3 } d1 += row0{ + // a0, a1, a2, a3 } * col1{ b0, b1, b2, b3 } d2 += row1{ a4, a5, a6, + // a7 } * col0{ b0, b1, b2, b3 } d3 += row1{ a4, a5, a6, a7 } * + // col1{ b0, b1, b2, b3 } + for (int j = 0; j < 4; j++) { + *d[0] += a[j] * b[j]; + *d[1] += a[j] * b[j + 4]; + *d[2] += a[j + 4] * b[j]; + *d[3] += a[j + 4] * b[j + 4]; + } + } + + for (int i = 0; i < 4; i++) { + typename MMAType::PackType recv_a[2], recv_b[2]; + + // Load partial fragment from row0 of matrix A ({a8, a9, a10, a11}) + recv_a[0] = + dpct::select_from_sub_group(sg, a[2], row_load_offset + i); + // Load partial fragment from row1 of matrix A ({a12, a13, a14, + // a15}) + recv_a[1] = + dpct::select_from_sub_group(sg, a[3], row_load_offset + i); + // Load partial fragment from col0 of matrix B ({b4, b5, b6, b7}) + recv_b[0] = + dpct::select_from_sub_group(sg, b[1], col_load_offset + i); + // Load partial fragment from col1 of matrix B ({b4, b5, b6, b7}) + recv_b[1] = + dpct::select_from_sub_group(sg, b[1], col_load_offset + i + 4); + + auto a = reinterpret_cast(recv_a); + auto b = reinterpret_cast(recv_b); + + // Each work item calculates a partial product of A & B matrix + // fragments and adds it to the corresponding D matrix fragment d0 + // += row0{ a8, a9, a10, a11 } * col0{ b4, b5, b6, b7 } d1 += row0{ + // a8, a9, a10, a11 } * col1{ b4, b5, b6, b7 } d2 += row1{ a12, a13, + // a14, a15 } * col0{ b4, b5, b6, b7 } d3 += row1{ a12, a13, a14, + // a15 } * col1{ b4, b5, b6, b7 } + for (int j = 0; j < 4; j++) { + *d[0] += a[j] * b[j]; + *d[1] += a[j] * b[j + 4]; + *d[2] += a[j + 4] * b[j]; + *d[3] += a[j + 4] * b[j + 4]; + } + } + } + } + } } // COPY from DPCT head files #endif // GGML_SYCL_DPCT_HELPER_HPP diff --git a/ggml/src/ggml-sycl/element_wise.cpp b/ggml/src/ggml-sycl/element_wise.cpp index 00d54b83f8..ec0247528c 100644 --- a/ggml/src/ggml-sycl/element_wise.cpp +++ b/ggml/src/ggml-sycl/element_wise.cpp @@ -9,23 +9,32 @@ #define SYCL_LOCAL_ID_CALC(ITEM, IDX) \ (ITEM.get_local_range(IDX) * ITEM.get_group(IDX) + ITEM.get_local_id(IDX)) +static void acc_f32(const float * x, const float * y, float * dst, const int64_t ne, + const int64_t ne10, const int64_t ne11, const int64_t ne12, const int64_t ne13, + const int64_t s11, const int64_t s12, const int64_t s13, const int64_t offset) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const int64_t i = SYCL_LOCAL_ID_CALC(item_ct1, 2); -static void acc_f32(const float * x, const float * y, float * dst, const int ne, - const int ne10, const int ne11, const int ne12, - const int nb1, const int nb2, int offset, const sycl::nd_item<1> &item_ct1) { - const int i = SYCL_LOCAL_ID_CALC(item_ct1, 0); if (i >= ne) { return; } - int src1_idx = i - offset; - int oz = src1_idx / nb2; - int oy = (src1_idx - (oz * nb2)) / nb1; - int ox = src1_idx % nb1; - if (src1_idx >= 0 && ox < ne10 && oy < ne11 && oz < ne12) { - dst[i] = x[i] + y[ox + oy * ne10 + oz * ne10 * ne11]; - } else { - dst[i] = x[i]; + + int64_t src1_idx = i - offset; + + int64_t tmp = src1_idx; + const int64_t i13 = tmp / s13; + tmp -= i13 * s13; + const int64_t i12 = tmp / s12; + tmp -= i12 * s12; + const int64_t i11 = tmp / s11; + tmp -= i11 * s11; + const int64_t i10 = tmp; + + float val = x[i]; + if (src1_idx >= 0 && i10 < ne10 && i11 < ne11 && i12 < ne12 && i13 < ne13) { + val += y[((i13*ne12 + i12) * ne11 + i11) * ne10 + i10]; } + dst[i] = val; } /* Unary OP funcs */ @@ -285,30 +294,6 @@ static void unary_op_trunc_kernel(const T * x, T * dst, const int k, const sycl: } } -template -static void upscale(const T *x, T *dst, const int nb00, const int nb01, - const int nb02, const int nb03, const int ne10, const int ne11, - const int ne12, const int ne13, const float sf0, const float sf1, - const float sf2, const float sf3, const sycl::nd_item<1> &item_ct1) { - int index = item_ct1.get_local_id(0) + - item_ct1.get_group(0) * item_ct1.get_local_range(0); - if (index >= ne10 * ne11 * ne12 * ne13) { - return; - } - // operation - int i10 = index % ne10; - int i11 = (index / ne10) % ne11; - int i12 = (index / (ne10 * ne11)) % ne12; - int i13 = (index / (ne10 * ne11 * ne12)) % ne13; - - int i00 = static_cast(i10 / sf0); - int i01 = static_cast(i11 / sf1); - int i02 = static_cast(i12 / sf2); - int i03 = static_cast(i13 / sf3); - - dst[index] = *(const T *)((const char *)x + i03 * nb03 + i02 * nb02 + i01 * nb01 + i00 * nb00); -} - template static void clamp(const T * x, T * dst, const float min, const float max, const int k, const sycl::nd_item<1> &item_ct1) { @@ -364,18 +349,15 @@ static void gated_op_fused_geglu_quick(const T * x, const T * g, T * dst, const namespace ggml_sycl_detail { static void acc_f32_sycl(const float *x, const float *y, float *dst, - const int n_elements, const int ne10, const int ne11, - const int ne12, const int nb1, const int nb2, - const int offset, queue_ptr stream) { - int num_blocks = ceil_div(n_elements, SYCL_ACC_BLOCK_SIZE); - stream->parallel_for( - sycl::nd_range<1>(sycl::range<1>(num_blocks) * - sycl::range<1>(SYCL_ACC_BLOCK_SIZE), - sycl::range<1>(SYCL_ACC_BLOCK_SIZE)), - [=](sycl::nd_item<1> item_ct1) { - acc_f32(x, y, dst, n_elements, ne10, ne11, ne12, nb1, nb2, offset, - item_ct1); - }); + const int64_t n_elements, const int64_t ne10, const int64_t ne11, + const int64_t ne12, const int64_t ne13, const int64_t s1, const int64_t s2, const int64_t s3, + const int64_t offset, queue_ptr stream) { + const int num_blocks = (n_elements + SYCL_ACC_BLOCK_SIZE - 1) / SYCL_ACC_BLOCK_SIZE; + stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_ACC_BLOCK_SIZE), + sycl::range<3>(1, 1, SYCL_ACC_BLOCK_SIZE)), + [=](sycl::nd_item<3> item_ct1) { + acc_f32(x, y, dst, n_elements, ne10, ne11, ne12, ne13, s1, s2, s3, offset); + }); } template @@ -386,41 +368,21 @@ static void arange_kernel(T * dst, const int k, T start, T step, } } -template -static void upscale_sycl(const T *x, T *dst, const int nb00, const int nb01, - const int nb02, const int nb03, const int ne10, const int ne11, - const int ne12, const int ne13, const float sf0, const float sf1, - const float sf2, const float sf3, queue_ptr stream) { - int dst_size = ne10 * ne11 * ne12 * ne13; - int num_blocks = ceil_div(dst_size, SYCL_UPSCALE_BLOCK_SIZE); - sycl::range<1> gridDim(num_blocks * SYCL_UPSCALE_BLOCK_SIZE); - stream->parallel_for( - sycl::nd_range<1>(gridDim, sycl::range<1>(SYCL_UPSCALE_BLOCK_SIZE)), [=](sycl::nd_item<1> item_ct1) { - upscale(x, dst, nb00, nb01, nb02, nb03, ne10, ne11, ne12, ne13, sf0, sf1, sf2, sf3, item_ct1); - }); -} - template static inline void dispatch_ggml_sycl_op_unary(ggml_backend_sycl_context & ctx, ggml_tensor * dst, KernelInvoker kernel_invoker, Args&&... args) { -#if defined (GGML_SYCL_F16) GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32 || dst->src[0]->type == GGML_TYPE_F16); GGML_ASSERT(dst->type == GGML_TYPE_F32 || dst->type == GGML_TYPE_F16); -#else - GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32); - GGML_ASSERT(dst->type == GGML_TYPE_F32); -#endif GGML_ASSERT(dst->src[0]->type == dst->type); + dpct::queue_ptr main_stream = ctx.stream(); SYCL_CHECK(ggml_sycl_set_device(ctx.device)); switch (dst->type) { -#if defined (GGML_SYCL_F16) case GGML_TYPE_F16: { auto data_pts = cast_data(dst); kernel_invoker(data_pts.src, data_pts.dst, (int)ggml_nelements(dst->src[0]), main_stream, std::forward(args)...); break; } -#endif case GGML_TYPE_F32: { auto data_pts = cast_data(dst); @@ -434,14 +396,10 @@ static inline void dispatch_ggml_sycl_op_unary(ggml_backend_sycl_context & ctx, template static inline void dispatch_ggml_sycl_op_fused_glu(ggml_backend_sycl_context & ctx, ggml_tensor * dst, KernelInvoker kernel_invoker, Args&&... args) { -#if defined (GGML_SYCL_F16) GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32 || dst->src[0]->type == GGML_TYPE_F16); GGML_ASSERT(dst->type == GGML_TYPE_F32 || dst->type == GGML_TYPE_F16); -#else - GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32); - GGML_ASSERT(dst->type == GGML_TYPE_F32); -#endif GGML_ASSERT(dst->src[0]->type == dst->type); + dpct::queue_ptr main_stream = ctx.stream(); SYCL_CHECK(ggml_sycl_set_device(ctx.device)); const ggml_tensor * src0 = dst->src[0]; @@ -463,7 +421,6 @@ static inline void dispatch_ggml_sycl_op_fused_glu(ggml_backend_sycl_context & c GGML_ASSERT(src0->type == src1->type); } switch (dst->type) { -#if defined (GGML_SYCL_F16) case GGML_TYPE_F16: { sycl::half * src0_p = (sycl::half *) src0_d; @@ -484,7 +441,6 @@ static inline void dispatch_ggml_sycl_op_fused_glu(ggml_backend_sycl_context & c std::forward(args)...); break; } -#endif case GGML_TYPE_F32: { float * src0_p = (float *) src0_d; @@ -511,48 +467,6 @@ static inline void dispatch_ggml_sycl_op_fused_glu(ggml_backend_sycl_context & c } } -template -static inline void dispatch_ggml_sycl_op_upscale(ggml_backend_sycl_context & ctx, ggml_tensor * dst, KernelInvoker kernel_invoker, Args&&... args) { -#if defined (GGML_SYCL_F16) - GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32 || dst->src[0]->type == GGML_TYPE_F16); - GGML_ASSERT(dst->type == GGML_TYPE_F32 || dst->type == GGML_TYPE_F16); -#else - GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32); - GGML_ASSERT(dst->type == GGML_TYPE_F32); -#endif - GGML_ASSERT(dst->src[0]->type == dst->type); - - dpct::queue_ptr main_stream = ctx.stream(); - SYCL_CHECK(ggml_sycl_set_device(ctx.device)); - - const float sf0 = (float) dst->ne[0] / dst->src[0]->ne[0]; - const float sf1 = (float) dst->ne[1] / dst->src[0]->ne[1]; - const float sf2 = (float) dst->ne[2] / dst->src[0]->ne[2]; - const float sf3 = (float) dst->ne[3] / dst->src[0]->ne[3]; - switch (dst->type) { -#if defined (GGML_SYCL_F16) - case GGML_TYPE_F16: - { - auto data_pts = cast_data(dst); - kernel_invoker(data_pts.src, data_pts.dst, (int)dst->src[0]->nb[0], (int)dst->src[0]->nb[1], (int)dst->src[0]->nb[2], - (int)dst->src[0]->nb[3], (int)dst->ne[0], (int)dst->ne[1], (int)dst->ne[2], (int)dst->ne[3], sf0, sf1, sf2, sf3, - main_stream, std::forward(args)...); - break; - } -#endif - case GGML_TYPE_F32: - { - auto data_pts = cast_data(dst); - kernel_invoker(data_pts.src, data_pts.dst, (int)dst->src[0]->nb[0], (int)dst->src[0]->nb[1], (int)dst->src[0]->nb[2], - (int)dst->src[0]->nb[3], (int)dst->ne[0], (int)dst->ne[1], (int)dst->ne[2], (int)dst->ne[3], sf0, sf1, sf2, sf3, - main_stream, std::forward(args)...); - break; - } - default: - GGML_ABORT("GGML tensor type not supported!\n"); - } -} - template static inline void ggml_sycl_op_unary( ggml_backend_sycl_context & ctx, ggml_tensor * dst, F func) { @@ -796,15 +710,6 @@ static inline void ggml_sycl_op_sqr(ggml_backend_sycl_context & ctx, ggml_tensor }); } -static inline void ggml_sycl_op_upscale(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { - ggml_sycl_detail::dispatch_ggml_sycl_op_upscale(ctx, dst, - [](const auto* src, auto* dst_ptr, int nb00, int nb01, int nb02, int nb03, - int ne10, int ne11, int ne12, int ne13, float sf0, float sf1, float sf2, float sf3, - queue_ptr stream) { - ggml_sycl_detail::upscale_sycl(src, dst_ptr, nb00, nb01, nb02, nb03, ne10, ne11, ne12, ne13, sf0, sf1, sf2, sf3, stream); - }); -} - static inline void ggml_sycl_op_clamp(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { float min_val; float max_val; @@ -868,22 +773,31 @@ static inline void ggml_sycl_op_trunc(ggml_backend_sycl_context & ctx, ggml_tens } static inline void ggml_sycl_op_acc(ggml_backend_sycl_context & ctx, ggml_tensor *dst) { - GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32); - GGML_ASSERT(dst->src[1]->type == GGML_TYPE_F32); + const ggml_tensor * src0 = dst->src[0]; + const ggml_tensor * src1 = dst->src[1]; + + const float * src0_d = (const float *) src0->data; + const float * src1_d = (const float *) src1->data; + float * dst_d = (float *) dst->data; + + dpct::queue_ptr stream = ctx.stream(); + + GGML_ASSERT(src0->type == GGML_TYPE_F32); + GGML_ASSERT(src1->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); - GGML_ASSERT(dst->ne[3] == 1); // just 3D tensors supported - dpct::queue_ptr main_stream = ctx.stream(); - SYCL_CHECK(ggml_sycl_set_device(ctx.device)); - const float * src0_dd = static_cast(dst->src[0]->data); - const float * src1_dd = static_cast(dst->src[1]->data); - float * dst_dd = static_cast(dst->data); - int nb1 = dst->op_params[0] / 4; // 4 bytes of float32 - int nb2 = dst->op_params[1] / 4; // 4 bytes of float32 - // int nb3 = dst->op_params[2] / 4; // 4 bytes of float32 - unused - int offset = dst->op_params[3] / 4; // offset in bytes + GGML_ASSERT(ggml_is_contiguous(src1)); + GGML_ASSERT(dst->nb[0] == ggml_element_size(dst)); + GGML_ASSERT(ggml_is_contiguously_allocated(dst)); - ggml_sycl_detail::acc_f32_sycl(src0_dd, src1_dd, dst_dd, (int)ggml_nelements(dst), (int)dst->src[1]->ne[0], (int)dst->src[1]->ne[1], (int)dst->src[1]->ne[2], nb1, nb2, offset, main_stream); + const int64_t s1 = dst->op_params[0] / sizeof(float); + const int64_t s2 = dst->op_params[1] / sizeof(float); + const int64_t s3 = dst->op_params[2] / sizeof(float); + const int64_t offset = dst->op_params[3] / sizeof(float); + + ggml_sycl_detail::acc_f32_sycl(src0_d, src1_d, dst_d, ggml_nelements(dst), + src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3], + s1, s2, s3, offset, stream); } static inline void ggml_sycl_op_geglu(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { @@ -1134,12 +1048,6 @@ void ggml_sycl_sqr(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { ggml_sycl_op_sqr(ctx, dst); } -void ggml_sycl_upscale(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { - scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/1); - ggml_sycl_op_upscale(ctx, dst); -} - - void ggml_sycl_clamp(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/1); ggml_sycl_op_clamp(ctx, dst); diff --git a/ggml/src/ggml-sycl/element_wise.hpp b/ggml/src/ggml-sycl/element_wise.hpp index 7c71974687..997132166a 100644 --- a/ggml/src/ggml-sycl/element_wise.hpp +++ b/ggml/src/ggml-sycl/element_wise.hpp @@ -71,8 +71,6 @@ void ggml_sycl_leaky_relu(ggml_backend_sycl_context & ctx, ggml_tensor * dst); void ggml_sycl_sqr(ggml_backend_sycl_context & ctx, ggml_tensor * dst); -void ggml_sycl_upscale(ggml_backend_sycl_context & ctx, ggml_tensor * dst); - void ggml_sycl_clamp(ggml_backend_sycl_context & ctx, ggml_tensor * dst); void ggml_sycl_sgn(ggml_backend_sycl_context & ctx, ggml_tensor * dst); diff --git a/ggml/src/ggml-sycl/fattn-common.hpp b/ggml/src/ggml-sycl/fattn-common.hpp new file mode 100644 index 0000000000..ed00d03c3b --- /dev/null +++ b/ggml/src/ggml-sycl/fattn-common.hpp @@ -0,0 +1,1179 @@ +#pragma once + +#include +#include "dpct/helper.hpp" +#include "common.hpp" +#include "convert.hpp" +#include "vecdotq.hpp" + +#include "ggml.h" + +#include +#include +#include + + +#define FATTN_KQ_STRIDE 256 +#define HALF_MAX_HALF sycl::half(65504.0f/2) // Use neg. of this instead of -INFINITY to initialize KQ max vals to avoid NaN upon subtraction. +#define SOFTMAX_FTZ_THRESHOLD -20.0f // Softmax exp. of values smaller than this are flushed to zero to avoid NaNs. +#define FATTN_KQ_MAX_OFFSET (3.0f*0.6931f) + +typedef void (*fattn_kernel_t)( + const char* Q, + const char* K, + const char* V, + const char* mask, + const char* sinks, + const int* KV_max, + float* dst, + sycl::float2* dst_meta, + const float scale, + const float max_bias, + const float m0, + const float m1, + const uint32_t n_head_log2, + const float logit_softcap, + const int32_t ne00, + const sycl::uint3 ne01, + const int32_t ne02, + const int32_t ne03, + const int32_t nb01, + const int32_t nb02, + const int32_t nb03, + const int32_t ne10, + const int32_t ne11, + const int32_t ne12, + const int32_t ne13, + const int32_t nb11, + const int32_t nb12, + const int64_t nb13, + const int32_t nb21, + const int32_t nb22, + const int64_t nb23, + const int32_t ne31, + const int32_t ne32, + const int32_t ne33, + const int32_t nb31, + const int32_t nb32, + const int64_t nb33); + +typedef float (*vec_dot_KQ_t)( + const char * __restrict__ K_c, const void * __restrict__ Q_v, const int * __restrict__ Q_q8 , const void * __restrict__ Q_ds); + +template +static __dpct_inline__ float vec_dot_fattn_vec_KQ_f16(const char * __restrict__ K_c, + const void * __restrict__ Q_v, + const int * __restrict__ Q_q8, + const void * __restrict__ Q_ds_v) { + const sycl::half2 * K_h2 = (const sycl::half2 *) K_c; + GGML_UNUSED(Q_q8); + GGML_UNUSED(Q_ds_v); + + constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes(); + constexpr int cpy_ne = cpy_nb / 4; + + float sum = 0.0f; + +#pragma unroll + for (int k_KQ_0 = 0; k_KQ_0 < D/2; k_KQ_0 += nthreads*cpy_ne) { + sycl::half2 tmp[cpy_ne]; + ggml_sycl_memcpy_1( + tmp, + K_h2 + k_KQ_0 + (sycl::ext::oneapi::this_work_item::get_nd_item<3>().get_local_id(2) % nthreads) * cpy_ne); +#pragma unroll + for (int k_KQ_1 = 0; k_KQ_1 < cpy_ne; ++k_KQ_1) { +#ifdef GGML_SYCL_F16 + ggml_sycl_mad(sum, tmp[k_KQ_1] , ((const sycl::half2 *) Q_v)[k_KQ_0/nthreads + k_KQ_1]); +#else + ggml_sycl_mad(sum, __half22float2(tmp[k_KQ_1]), ((const sycl::float2 *) Q_v)[k_KQ_0/nthreads + k_KQ_1]); +#endif // GGML_SYCL_F16 + } + } + + return sum; +} + +template +static __dpct_inline__ float vec_dot_fattn_vec_KQ_q4_0(const char * __restrict__ K_c, + const void * __restrict__ Q_v, + const int * __restrict__ Q_q8, + const void * __restrict__ Q_ds_v) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + + const block_q4_0 * K_q4_0 = (const block_q4_0 *) K_c; + GGML_UNUSED(Q_v); + + float sum = 0.0f; + +#pragma unroll + for (int k_KQ_0 = 0; k_KQ_0 < int(D/sizeof(int)); k_KQ_0 += nthreads) { + const int k_KQ = + k_KQ_0 + (nthreads == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads); + + const int ib = k_KQ / QI8_1; + const int iqs4 = k_KQ % QI4_0; + const int shift = k_KQ & (QI8_1/2); + + int v; + ggml_sycl_memcpy_1(&v, K_q4_0[ib].qs + sizeof(int)*iqs4); + v = (v >> shift) & 0x0F0F0F0F; + const int u = Q_q8[k_KQ_0/nthreads]; + + const int sumi = ggml_sycl_dp4a(v, u, 0); + + const sycl::float2 Q_ds = ((const sycl::float2 *) Q_ds_v)[k_KQ_0 / nthreads]; + sum += __half2float(K_q4_0[ib].d) * (sumi*Q_ds.x() - (8/QI8_1)*Q_ds.y()); + } + + return sum; +} + +template +static __dpct_inline__ float vec_dot_fattn_vec_KQ_q4_1(const char * __restrict__ K_c, + const void * __restrict__ Q_v, + const int * __restrict__ Q_q8, + const void * __restrict__ Q_ds_v) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const block_q4_1 * K_q4_1 = (const block_q4_1 *) K_c; + GGML_UNUSED(Q_v); + + float sum = 0.0f; + +#pragma unroll + for (int k_KQ_0 = 0; k_KQ_0 < int(D/sizeof(int)); k_KQ_0 += nthreads) { + const int k_KQ = + k_KQ_0 + (nthreads == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads); + + const int ib = k_KQ / QI8_1; + const int iqs4 = k_KQ % QI4_1; + const int shift = k_KQ & (QI8_1/2); + + int v; + ggml_sycl_memcpy_1(&v, K_q4_1[ib].qs + sizeof(int)*iqs4); + v = (v >> shift) & 0x0F0F0F0F; + const int u = Q_q8[k_KQ_0/nthreads]; + + const int sumi = ggml_sycl_dp4a(v, u, 0); + + const sycl::float2 K_dm = (K_q4_1[ib].dm).template convert(); + const sycl::float2 Q_ds = ((const sycl::float2 *) Q_ds_v)[k_KQ_0 / nthreads]; + + sum += K_dm.x()*Q_ds.x()*sumi + K_dm.y()*Q_ds.y()/QI8_1; + } + + return sum; +} + +template +static __dpct_inline__ float vec_dot_fattn_vec_KQ_q5_0(const char * __restrict__ K_c, + const void * __restrict__ Q_v, + const int * __restrict__ Q_q8, + const void * __restrict__ Q_ds_v) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const block_q5_0 * K_q5_0 = (const block_q5_0 *) K_c; + GGML_UNUSED(Q_v); + + float sum = 0.0f; + +#pragma unroll + for (int k_KQ_0 = 0; k_KQ_0 < int(D/sizeof(int)); k_KQ_0 += nthreads) { + const int k_KQ = + k_KQ_0 + (nthreads == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads); + + const int ib = k_KQ / QI8_1; + const int iqs4 = k_KQ % QI5_0; + const int iqs8 = k_KQ % QI8_1; + const int shift = k_KQ & (QI8_1/2); + + int v; + ggml_sycl_memcpy_1(&v, K_q5_0[ib].qs + sizeof(int)*iqs4); + v = (v >> shift) & 0x0F0F0F0F; + + { + int vh; + ggml_sycl_memcpy_1(&vh, K_q5_0[ib].qh); + vh >>= iqs8 * QI5_0; + + v |= (vh << 4) & 0x00000010; // 0 -> 4 + v |= (vh << 11) & 0x00001000; // 1 -> 12 + v |= (vh << 18) & 0x00100000; // 2 -> 20 + v |= (vh << 25) & 0x10000000; // 3 -> 28 + } + + const int u = Q_q8[k_KQ_0/nthreads]; + + const int sumi = ggml_sycl_dp4a(v, u, 0); + + const sycl::float2 Q_ds = ((const sycl::float2 *) Q_ds_v)[k_KQ_0 / nthreads]; + + sum += __half2float(K_q5_0[ib].d) * (sumi*Q_ds.x() - (16/QI8_1)*Q_ds.y()); + } + + return sum; +} + +template +static __dpct_inline__ float vec_dot_fattn_vec_KQ_q5_1(const char * __restrict__ K_c, + const void * __restrict__ Q_v, + const int * __restrict__ Q_q8, + const void * __restrict__ Q_ds_v) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const block_q5_1 * K_q5_1 = (const block_q5_1 *) K_c; + GGML_UNUSED(Q_v); + + float sum = 0.0f; + +#pragma unroll + for (int k_KQ_0 = 0; k_KQ_0 < int(D/sizeof(int)); k_KQ_0 += nthreads) { + const int k_KQ = + k_KQ_0 + (nthreads == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads); + + const int ib = k_KQ / QI8_1; + const int iqs4 = k_KQ % QI5_1; + const int iqs8 = k_KQ % QI8_1; + const int shift = k_KQ & (QI8_1/2); + + int v; + ggml_sycl_memcpy_1(&v, K_q5_1[ib].qs + sizeof(int)*iqs4); + v = (v >> shift) & 0x0F0F0F0F; + + { + int vh; + ggml_sycl_memcpy_1(&vh, K_q5_1[ib].qh); + vh >>= iqs8 * QI5_0; + + v |= (vh << 4) & 0x00000010; // 0 -> 4 + v |= (vh << 11) & 0x00001000; // 1 -> 12 + v |= (vh << 18) & 0x00100000; // 2 -> 20 + v |= (vh << 25) & 0x10000000; // 3 -> 28 + } + + const int u = Q_q8[k_KQ_0/nthreads]; + + const int sumi = ggml_sycl_dp4a(v, u, 0); + + const sycl::float2 K_dm = (K_q5_1[ib].dm).template convert(); + const sycl::float2 Q_ds = ((const sycl::float2 *) Q_ds_v)[k_KQ_0 / nthreads]; + + sum += K_dm.x()*Q_ds.x()*sumi + K_dm.y()*Q_ds.y()/QI8_1; + } + + return sum; +} + +template +static __dpct_inline__ float vec_dot_fattn_vec_KQ_q8_0(const char * __restrict__ K_c, + const void * __restrict__ Q_v, + const int * __restrict__ Q_q8, + const void * __restrict__ Q_ds_v) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const block_q8_0 * K_q8_0 = (const block_q8_0 *) K_c; + GGML_UNUSED(Q_v); + + float sum = 0.0f; + +#pragma unroll + for (int k_KQ_0 = 0; k_KQ_0 < int(D/sizeof(int)); k_KQ_0 += nthreads) { + const int k_KQ = + k_KQ_0 + (nthreads == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads); + + const int ib = k_KQ / QI8_0; + const int iqs = k_KQ % QI8_0; + + int v; + ggml_sycl_memcpy_1(&v, K_q8_0[ib].qs + 4*iqs); + + const sycl::float2 * Q_ds = (const sycl::float2 *) Q_ds_v; + const float Q_d = Q_ds[k_KQ_0 / nthreads].x(); + + sum += vec_dot_q8_0_q8_1_impl(&v, &Q_q8[k_KQ_0/nthreads], K_q8_0[ib].d, Q_d); + } + + return sum; +} + +template +static __dpct_inline__ void quantize_q8_1_to_shared(const float * __restrict__ x, + const float scale, + int * __restrict__ yq32, + void * __restrict__ yds) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + + float vals[sizeof(int)] = { 0.0f }; +#pragma unroll + for (int l = 0; l < int(sizeof(int)); ++l) { + vals[l] = + (ni == warp_size || item_ct1.get_local_id(2) < ni) ? scale * x[4 * item_ct1.get_local_id(2) + l] : 0.0f; + } + + float amax = sycl::fabs(vals[0]); + float sum = vals[0]; +#pragma unroll + for (int l = 1; l < int(sizeof(int)); ++l) { + amax = sycl::fmax(amax, sycl::fabs(vals[l])); + sum += vals[l]; + } +#pragma unroll + for (int mask = QI8_1/2; mask > 0; mask >>= 1) { + amax = sycl::fmax( + amax, dpct::permute_sub_group_by_xor(sycl::ext::oneapi::this_work_item::get_sub_group(), amax, mask)); + sum += dpct::permute_sub_group_by_xor(sycl::ext::oneapi::this_work_item::get_sub_group(), sum, mask); + } + + const float d = amax / 127; + int q32 = 0; + int8_t * q8 = (int8_t *) &q32; + + if (d != 0.0f) { +#pragma unroll + for (int l = 0; l < int(sizeof(int)); ++l) { + q8[l] = sycl::round(vals[l] / d); + } + } + + yq32[item_ct1.get_local_id(2)] = q32; + if (item_ct1.get_local_id(2) % QI8_1 == 0 && (ni == warp_size || item_ct1.get_local_id(2) < ni)) { + if (std::is_same::value) { + ((sycl::half2 *) yds)[item_ct1.get_local_id(2)/QI8_1] = make_half2(d, sum); + } else { + ((sycl::float2 *) yds)[item_ct1.get_local_id(2)/QI8_1] = make_float2(d, sum); + } + } +} + +typedef void (*dequantize_V_t)(const void *, void *, const int64_t); + +template +static __dpct_inline__ void dequantize_V_f16(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) { + if constexpr (std::is_same_v) { + ggml_sycl_memcpy_1(dst, (const sycl::half *) vx + i0); + } else if constexpr (std::is_same_v) { + static_assert(ne % 2 == 0, "bad ne"); + sycl::half2 tmp[ne / 2]; + ggml_sycl_memcpy_1(tmp, (const sycl::half *) vx + i0); + sycl::float2 * dst_f2 = (sycl::float2 *) dst; +#pragma unroll + for (int l = 0; l < ne/2; ++l) { + dst_f2[l] = tmp[l].template convert(); + } + } else { + static_assert(std::is_same_v, "unsupported type"); + } +} + +template +static __dpct_inline__ void dequantize_V_q4_0(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) { + const block_q4_0 * x = (const block_q4_0 *) vx; + + const int64_t ib = i0 / QK4_0; + const int iqs = i0 % (QK4_0/2); + const int shift = (i0 % QK4_0) / (QK4_0/2); + + int q; + static_assert(ne == 2 || ne == 4, "bad ne"); + ggml_sycl_memcpy_1(&q, x[ib].qs + iqs); + q >>= 4*shift; + q &= 0x0F0F0F0F; + q = dpct::vectorized_binary(q, 0x08080808, dpct::sub_sat()); + + const int8_t * q8 = (const int8_t *) &q; + +#ifdef GGML_SYCL_F16 + if constexpr (std::is_same_v) { + const sycl::half2 d = sycl::half2(x[ib].d); + +#pragma unroll + for (int l0 = 0; l0 < ne; l0 += 2) { + ((sycl::half2 *) dst)[l0 / 2] = d * sycl::half2(q8[l0 + 0], q8[l0 + 1]); + } + } else +#endif // GGML_SYCL_F16 + if constexpr (std::is_same_v) { + const float d = x[ib].d; + +#pragma unroll + for (int l = 0; l < ne; ++l) { + ((float *) dst)[l] = d * q8[l]; + } + } else { + static_assert(std::is_same_v, "bad type"); + } +} + +template +static __dpct_inline__ void dequantize_V_q4_1(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) { + const block_q4_1 * x = (const block_q4_1 *) vx; + + const int64_t ib = i0 / QK4_1; + const int iqs = i0 % (QK4_1/2); + const int shift = (i0 % QK4_1) / (QK4_1/2); + + int q; + static_assert(ne == 2 || ne == 4, "bad ne"); + ggml_sycl_memcpy_1(&q, x[ib].qs + iqs); + q >>= 4*shift; + q &= 0x0F0F0F0F; + + const int8_t * q8 = (const int8_t *) &q; + +#ifdef GGML_SYCL_F16 + if constexpr (std::is_same_v) { + const sycl::half2 dm = x[ib].dm; + const sycl::half2 d = sycl::half2(dm[0]); + const sycl::half2 m = sycl::half2(dm[1]); + +#pragma unroll + for (int l0 = 0; l0 < ne; l0 += 2) { + ((sycl::half2 *) dst)[l0 / 2] = d * sycl::half2(q8[l0 + 0], q8[l0 + 1]) + m; + } + } else +#endif // GGML_SYCL_F16 + if constexpr (std::is_same_v) { + const sycl::float2 dm = (x[ib].dm).template convert(); + +#pragma unroll + for (int l = 0; l < ne; ++l) { + ((float *) dst)[l] = dm.x() * q8[l] + dm.y(); + } + } else { + static_assert(std::is_same_v, "bad type"); + } +} + +template +static __dpct_inline__ void dequantize_V_q5_0(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) { + const block_q5_0 * x = (const block_q5_0 *) vx; + + const int64_t ib = i0 / QK5_0; + const int idq = i0 % QK5_0; + const int iqs = i0 % (QK5_0/2); + const int shift = (i0 % QK5_0) / (QK5_0/2); + + int q; + static_assert(ne == 2 || ne == 4, "bad ne"); + ggml_sycl_memcpy_1(&q, x[ib].qs + iqs); + q >>= 4*shift; + q &= 0x0F0F0F0F; + + { + int qh; + ggml_sycl_memcpy_1(&qh, x[ib].qh); +#pragma unroll + for (int l = 0; l < ne; ++l) { + q |= ((qh >> (idq + l)) & 0x00000001) << (8*l + 4); + } + } + + q = dpct::vectorized_binary(q, 0x10101010, dpct::sub_sat()); + + const int8_t * q8 = (const int8_t *) &q; + +#ifdef GGML_SYCL_F16 + if constexpr (std::is_same_v) { + const sycl::half2 d = sycl::half2(x[ib].d); + +#pragma unroll + for (int l0 = 0; l0 < ne; l0 += 2) { + ((sycl::half2 *) dst)[l0 / 2] = d * sycl::half2(q8[l0 + 0], q8[l0 + 1]); + } + } else +#endif // GGML_SYCL_F16 + if constexpr (std::is_same_v) { + const float d = x[ib].d; + +#pragma unroll + for (int l = 0; l < ne; ++l) { + ((float *) dst)[l] = d * q8[l]; + } + } else { + static_assert(std::is_same_v, "bad type"); + } +} + +template +static __dpct_inline__ void dequantize_V_q5_1(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) { + const block_q5_1 * x = (const block_q5_1 *) vx; + + const int64_t ib = i0 / QK5_1; + const int idq = i0 % QK5_1; + const int iqs = i0 % (QK5_1/2); + const int shift = (i0 % QK5_1) / (QK5_1/2); + + int q; + static_assert(ne == 2 || ne == 4, "bad ne"); + ggml_sycl_memcpy_1(&q, x[ib].qs + iqs); + q >>= 4*shift; + q &= 0x0F0F0F0F; + + { + int qh; + ggml_sycl_memcpy_1(&qh, x[ib].qh); +#pragma unroll + for (int l = 0; l < ne; ++l) { + q |= ((qh >> (idq + l)) & 0x00000001) << (8*l + 4); + } + } + + const int8_t * q8 = (const int8_t *) &q; + +#ifdef GGML_SYCL_F16 + if constexpr (std::is_same_v) { + const sycl::half2 dm = x[ib].dm; + const sycl::half2 d = sycl::half2(dm[0]); + const sycl::half2 m = sycl::half2(dm[1]); + +#pragma unroll + for (int l0 = 0; l0 < ne; l0 += 2) { + ((sycl::half2 *) dst)[l0 / 2] = d * sycl::half2(q8[l0 + 0], q8[l0 + 1]) + m; + } + } else +#endif // GGML_SYCL_F16 + if constexpr (std::is_same_v) { + const sycl::float2 dm = (x[ib].dm).template convert(); + +#pragma unroll + for (int l = 0; l < ne; ++l) { + ((float *) dst)[l] = dm.x() * q8[l] + dm.y(); + } + } else { + static_assert(std::is_same_v, "bad type"); + } +} + +template +static __dpct_inline__ void dequantize_V_q8_0(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) { + const block_q8_0 * x = (const block_q8_0 *) vx; + + const int64_t ib = i0 / QK8_0; + const int iqs = i0 % QK8_0; + + static_assert(ne % 2 == 0, "bad ne"); + int8_t qs[ne]; + ggml_sycl_memcpy_1(qs, x[ib].qs + iqs); + +#ifdef GGML_SYCL_F16 + if constexpr (std::is_same::value) { + const sycl::half2 d = sycl::half2(x[ib].d); + +#pragma unroll + for (int l0 = 0; l0 < ne; l0 += 2) { + ((sycl::half2 *) dst)[l0 / 2] = d * make_half2(qs[l0 + 0], qs[l0 + 1]); + } + } else +#endif // GGML_SYCL_F16 + if constexpr (std::is_same::value) { + const float d = x[ib].d; + +#pragma unroll + for (int l = 0; l < ne; ++l) { + ((float *) dst)[l] = d * qs[l]; + } + } else { + static_assert(std::is_same_v, "unsupported type"); + } +} + +template +constexpr vec_dot_KQ_t get_vec_dot_KQ() { + if constexpr (type_K == GGML_TYPE_F16) { + return vec_dot_fattn_vec_KQ_f16; + } else if constexpr (type_K == GGML_TYPE_Q4_0) { + return vec_dot_fattn_vec_KQ_q4_0; + } else if constexpr (type_K == GGML_TYPE_Q4_1) { + return vec_dot_fattn_vec_KQ_q4_1; + } else if constexpr (type_K == GGML_TYPE_Q5_0) { + return vec_dot_fattn_vec_KQ_q5_0; + } else if constexpr (type_K == GGML_TYPE_Q5_1) { + return vec_dot_fattn_vec_KQ_q5_1; + } else if constexpr (type_K == GGML_TYPE_Q8_0) { + return vec_dot_fattn_vec_KQ_q8_0; + } else { + static_assert(type_K == -1, "bad type"); + return nullptr; + } +} + +template +constexpr dequantize_V_t get_dequantize_V() { + if constexpr (type_V == GGML_TYPE_F16) { + return dequantize_V_f16; + } else if constexpr (type_V == GGML_TYPE_Q4_0) { + return dequantize_V_q4_0; + } else if constexpr (type_V == GGML_TYPE_Q4_1) { + return dequantize_V_q4_1; + } else if constexpr (type_V == GGML_TYPE_Q5_0) { + return dequantize_V_q5_0; + } else if constexpr (type_V == GGML_TYPE_Q5_1) { + return dequantize_V_q5_1; + } else if constexpr (type_V == GGML_TYPE_Q8_0) { + return dequantize_V_q8_0; + } else { + static_assert(type_V == -1, "bad type"); + return nullptr; + } +} + +template +static void flash_attn_mask_to_KV_max(const sycl::half2 * __restrict__ mask, + int * __restrict__ KV_max, + const int ne30, + const int s31, + const int s33, + int * buf_iw) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const int ne31 = item_ct1.get_group_range(2); + const int tid = item_ct1.get_local_id(2); + const int sequence = item_ct1.get_group(1); + const int jt = item_ct1.get_group(2); + + mask += sequence*s33 + jt*ncols1*s31; + + if (tid < warp_size) { + buf_iw[tid] = 1; + } + item_ct1.barrier(sycl::access::fence_space::local_space); + + int KV_max_sj = (ne30 - 1) * FATTN_KQ_STRIDE; + for (; KV_max_sj >= 0; KV_max_sj -= FATTN_KQ_STRIDE) { + int all_inf = 1; + +#pragma unroll + for (int j = 0; j < ncols1; ++j) { + const sycl::float2 tmp = + mask[j * s31 + KV_max_sj / 2 + tid].template convert(); + all_inf = all_inf && int(sycl::isinf((float) (tmp.x()))) && int(sycl::isinf((float) (tmp.y()))); + } + + all_inf = warp_reduce_all(all_inf); + if (tid % warp_size == 0) { + buf_iw[tid / warp_size] = all_inf; + } + item_ct1.barrier(sycl::access::fence_space::local_space); + all_inf = buf_iw[tid % warp_size]; + item_ct1.barrier(sycl::access::fence_space::local_space); + all_inf = warp_reduce_all(all_inf); + + if (!all_inf) { + break; + } + } + + // If the break in the loop was not triggered, KV_max_sj is now -FATTN_KQ_STRIDE. + // If the break was triggered it's the lower edge of the tile with the first non-masked values. + // In either case, walk back the decrementation by FATTN_KQ_STRIDE. + KV_max_sj += FATTN_KQ_STRIDE; + + if (item_ct1.get_local_id(2) != 0) { + return; + } + + KV_max[sequence*ne31 + jt] = KV_max_sj; +} + +template // D == head size + +static void flash_attn_stream_k_fixup(float * __restrict__ dst, + const sycl::float2 * __restrict__ dst_fixup, + const int ne01, + const int ne02, + const int ne03, + const int ne11, + const int ne12, + const int nbatch_fa) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + constexpr int ncols = ncols1 * ncols2; + + const int bidx0 = item_ct1.get_group(2); + const int j = item_ct1.get_group(1); + const int c = item_ct1.get_group(0); + const int jc = j*ncols2 + c; + const int tid = item_ct1.get_local_id(2); + + const float * dst_fixup_data = ((const float *) dst_fixup) + item_ct1.get_group_range(2) * (2 * 2 * ncols); + + const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix. + + const int iter_k = (ne11 + (nbatch_fa - 1)) / nbatch_fa; + const int iter_j = (ne01 + (ncols1 - 1)) / ncols1; + const int iter_z_gqa = (gqa_ratio + (ncols2 - 1)) / ncols2; + + const int kbc0 = int64_t(bidx0 + 0) * (iter_k * iter_j * iter_z_gqa * ne12 * ne03) / item_ct1.get_group_range(2); + const int kbc0_stop = + int64_t(bidx0 + 1) * (iter_k * iter_j * iter_z_gqa * ne12 * ne03) / item_ct1.get_group_range(2); + + const bool did_not_have_any_data = kbc0 == kbc0_stop; + const bool wrote_beginning_of_tile = kbc0 % iter_k == 0; + const bool did_not_write_last = kbc0/iter_k == kbc0_stop/iter_k && kbc0_stop % iter_k != 0; + if (did_not_have_any_data || wrote_beginning_of_tile || did_not_write_last) { + return; + } + + // z_KV == K/V head index, zt_gqa = Q head start index per K/V head, jt = token position start index + const int sequence = kbc0 /(iter_k*iter_j*iter_z_gqa*ne12); + const int z_KV = (kbc0 - iter_k*iter_j*iter_z_gqa*ne12 * sequence)/(iter_k*iter_j*iter_z_gqa); + const int zt_gqa = (kbc0 - iter_k*iter_j*iter_z_gqa*ne12 * sequence - iter_k*iter_j*iter_z_gqa * z_KV)/(iter_k*iter_j); + const int jt = (kbc0 - iter_k*iter_j*iter_z_gqa*ne12 * sequence - iter_k*iter_j*iter_z_gqa * z_KV - iter_k*iter_j * zt_gqa) / iter_k; + + const int zt_Q = z_KV*gqa_ratio + zt_gqa*ncols2; // Global Q head start index. + + if (jt*ncols1 + j >= ne01 || zt_gqa*ncols2 + c >= gqa_ratio) { + return; + } + + dst += sequence*ne02*ne01*D + jt*ne02*(ncols1*D) + zt_Q*D + (j*ne02 + c)*D + tid; + + // Load the partial result that needs a fixup: + float dst_val = 0.0f; + float max_val = 0.0f; + float rowsum = 0.0f; + { + dst_val = *dst; + + const sycl::float2 tmp = dst_fixup[bidx0 * ncols + jc]; + max_val = tmp.x(); + rowsum = tmp.y(); + } + + // Iterate over previous blocks and compute the combined results. + // All SYCL blocks that get here must have a previous block that needs a fixup. + int bidx = bidx0 - 1; + int kbc_stop = kbc0; + while(true) { + const int kbc = int64_t(bidx) * (iter_k * iter_j * iter_z_gqa * ne12 * ne03) / item_ct1.get_group_range(2); + if (kbc == kbc_stop) { // Did not have any data. + bidx--; + kbc_stop = kbc; + continue; + } + + const float dst_add = dst_fixup_data[bidx*ncols*D + jc*D + tid]; + + const sycl::float2 tmp = dst_fixup[(item_ct1.get_group_range(2) + bidx) * ncols + jc]; + + // Scale the current and new value accumulators depending on the max. values. + const float max_val_new = sycl::fmax(max_val, tmp.x()); + + const float diff_val = max_val - max_val_new; + const float diff_add = tmp.x() - max_val_new; + + const float scale_val = diff_val >= SOFTMAX_FTZ_THRESHOLD ? sycl::native::exp(diff_val) : 0.0f; + const float scale_add = diff_add >= SOFTMAX_FTZ_THRESHOLD ? sycl::native::exp(diff_add) : 0.0f; + + dst_val = scale_val*dst_val + scale_add*dst_add; + rowsum = scale_val * rowsum + scale_add * tmp.y(); + + max_val = max_val_new; + + // If this block started in a previous tile we are done and don't need to combine additional partial results. + if (kbc % iter_k == 0 || kbc/iter_k < kbc0/iter_k) { + break; + } + bidx--; + kbc_stop = kbc; + } + + // Write back final result: + *dst = dst_val / rowsum; +} + +template // D == head size + +static void flash_attn_combine_results(const float * __restrict__ VKQ_parts, + const sycl::float2 * __restrict__ VKQ_meta, + float * __restrict__ dst, + const int parallel_blocks, + uint8_t * dpct_local) { + // Dimension 0: threadIdx.x + // Dimension 1: blockIdx.x + // Dimension 2: blockIdx.y + // Dimension 3: blockIdx.z + // Memory layout is permuted with [0, 2, 1, 3] + + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const int ne01 = item_ct1.get_group_range(2); + const int ne02 = item_ct1.get_group_range(1); + + const int col = item_ct1.get_group(2); + const int head = item_ct1.get_group(1); + const int sequence = item_ct1.get_group(0); + + const int j_dst_unrolled = (sequence*ne01 + col)*ne02 + head; + + VKQ_parts += j_dst_unrolled * parallel_blocks*D; + VKQ_meta += j_dst_unrolled * parallel_blocks; + dst += j_dst_unrolled * D; + + const int tid = item_ct1.get_local_id(2); + __builtin_assume(tid < D); + + auto meta = (sycl::float2 *) dpct_local; + for (int i = tid; i < 2*parallel_blocks; i += D) { + ((float *) meta)[i] = ((const float *)VKQ_meta) [i]; + } + + item_ct1.barrier(sycl::access::fence_space::local_space); + + float kqmax = meta[0].x(); + for (int l = 1; l < parallel_blocks; ++l) { + kqmax = sycl::max(kqmax, meta[l].x()); + } + + float VKQ_numerator = 0.0f; + float VKQ_denominator = 0.0f; + for (int l = 0; l < parallel_blocks; ++l) { + const float KQ_max_scale = sycl::native::exp(meta[l].x() - kqmax); + + VKQ_numerator += KQ_max_scale * VKQ_parts[l*D + tid]; + VKQ_denominator += KQ_max_scale * meta[l].y(); + } + + dst[tid] = VKQ_numerator / VKQ_denominator; +} + +template +static void lauch_kernel( + dpct::dim3 group_range, + dpct::dim3 local_range, + queue_ptr q, + unsigned int local_mem_size, + const char* __restrict__ Q, + const char* __restrict__ K, + const char* __restrict__ V, + const char* __restrict__ mask, + const char* __restrict__ sinks, + const int* __restrict__ KV_max, + float* __restrict__ dst, + sycl::float2* __restrict__ dst_meta, + const float scale, + const float max_bias, + const float m0, + const float m1, + const uint32_t n_head_log2, + const float logit_softcap, + const int32_t ne00, + const sycl::uint3 ne01, + const int32_t ne02, + const int32_t ne03, + const int32_t nb01, + const int32_t nb02, + const int32_t nb03, + const int32_t ne10, + const int32_t ne11, + const int32_t ne12, + const int32_t ne13, + const int32_t nb11, + const int32_t nb12, + const int64_t nb13, + const int32_t nb21, + const int32_t nb22, + const int64_t nb23, + const int32_t ne31, + const int32_t ne32, + const int32_t ne33, + const int32_t nb31, + const int32_t nb32, + const int64_t nb33) { + GGML_UNUSED(local_mem_size); + q->submit([&](sycl::handler &cgh) { + cgh.parallel_for( + sycl::nd_range<3>( + static_cast>(group_range * local_range), + static_cast>(local_range)), + [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(warp_size)]] { + GGML_UNUSED(item_ct1); + fattn_kernel(Q, K, V, mask, sinks, KV_max, dst, dst_meta, scale, + max_bias, m0, m1, n_head_log2, logit_softcap, ne00, + ne01, ne02, ne03, nb01, nb02, nb03, ne10, ne11, + ne12, ne13, nb11, nb12, nb13, nb21, nb22, nb23, + ne31, ne32, ne33, nb31, nb32, nb33); + }); + }); +} + +template +void launch_fattn( + ggml_backend_sycl_context & ctx, ggml_tensor * dst, const int nwarps, const size_t nbytes_shared, + const int nbatch_fa, const bool need_f16_K, const bool need_f16_V, const bool stream_k) { + + constexpr int ncols = ncols1 * ncols2; + + const ggml_tensor * Q = dst->src[0]; + const ggml_tensor * K = dst->src[1]; + const ggml_tensor * V = dst->src[2]; + + const bool V_is_K_view = V->view_src && (V->view_src == K || (V->view_src == K->view_src && V->view_offs == K->view_offs)); + + const ggml_tensor * mask = dst->src[3]; + const ggml_tensor * sinks = dst->src[4]; + + ggml_tensor * KQV = dst; + + GGML_ASSERT(Q->type == GGML_TYPE_F32); + GGML_ASSERT(KQV->type == GGML_TYPE_F32); + + GGML_ASSERT(Q->nb[0] == ggml_element_size(Q)); + GGML_ASSERT(K->nb[0] == ggml_element_size(K)); + GGML_ASSERT(V->nb[0] == ggml_element_size(V)); + + GGML_ASSERT(!mask || mask->type == GGML_TYPE_F16); + + ggml_sycl_pool & pool = ctx.pool(); + dpct::queue_ptr main_stream = ctx.stream(); + const int id = ggml_sycl_get_device(); + const int nsm = ggml_sycl_info().devices[id].nsm; + + ggml_sycl_pool_alloc K_f16(pool); + ggml_sycl_pool_alloc V_f16(pool); + ggml_sycl_pool_alloc KV_max(pool); + ggml_sycl_pool_alloc dst_tmp(pool); + ggml_sycl_pool_alloc dst_tmp_meta(pool); + + const char * K_data = (const char *) K->data; + size_t nb11 = K->nb[1]; + size_t nb12 = K->nb[2]; + size_t nb13 = K->nb[3]; + + const char * V_data = (const char *) V->data; + size_t nb21 = V->nb[1]; + size_t nb22 = V->nb[2]; + size_t nb23 = V->nb[3]; + + if (need_f16_K && K->type != GGML_TYPE_F16) { + const size_t bs = ggml_blck_size(K->type); + const size_t ts = ggml_type_size(K->type); + + K_f16.alloc(ggml_nelements(K)); + if (ggml_is_contiguously_allocated(K)) { + to_fp16_sycl_t to_fp16 = ggml_get_to_fp16_sycl(K->type, dst); + to_fp16(K_data, K_f16.ptr, ggml_nelements(K), main_stream); + + nb11 = nb11 * bs * sizeof(sycl::half) / ts; + nb12 = nb12 * bs * sizeof(sycl::half) / ts; + nb13 = nb13 * bs * sizeof(sycl::half) / ts; + } else { + GGML_ASSERT(K->nb[0] == ts); + to_fp16_nc_sycl_t to_fp16 = ggml_get_to_fp16_nc_sycl(K->type); + const int64_t s01 = nb11 / ts; + const int64_t s02 = nb12 / ts; + const int64_t s03 = nb13 / ts; + to_fp16(K_data, K_f16.ptr, K->ne[0], K->ne[1], K->ne[2], K->ne[3], s01, s02, s03, main_stream); + + nb11 = K->ne[0] * sizeof(sycl::half); + nb12 = K->ne[1] * nb11; + nb13 = K->ne[2] * nb12; + } + K_data = (char *) K_f16.ptr; + } + + if (need_f16_V && V->type != GGML_TYPE_F16) { + if (V_is_K_view) { + V_data = K_data; + nb21 = nb11; + nb22 = nb12; + nb23 = nb13; + } else { + const size_t bs = ggml_blck_size(V->type); + const size_t ts = ggml_type_size(V->type); + + V_f16.alloc(ggml_nelements(V)); + if (ggml_is_contiguously_allocated(V)) { + to_fp16_sycl_t to_fp16 = ggml_get_to_fp16_sycl(V->type, dst); + to_fp16(V_data, V_f16.ptr, ggml_nelements(V), main_stream); + V_data = (char *) V_f16.ptr; + + nb21 = nb21 * bs * sizeof(sycl::half) / ts; + nb22 = nb22 * bs * sizeof(sycl::half) / ts; + nb23 = nb23 * bs * sizeof(sycl::half) / ts; + } else { + GGML_ASSERT(V->nb[0] == ts); + to_fp16_nc_sycl_t to_fp16 = ggml_get_to_fp16_nc_sycl(V->type); + const int64_t s01 = nb21 / ts; + const int64_t s02 = nb22 / ts; + const int64_t s03 = nb23 / ts; + to_fp16(V_data, V_f16.ptr, V->ne[0], V->ne[1], V->ne[2], V->ne[3], s01, s02, s03, main_stream); + + nb21 = V->ne[0] * sizeof(sycl::half); + nb22 = V->ne[1] * nb21; + nb23 = V->ne[2] * nb22; + } + V_data = (char *) V_f16.ptr; + } + } + + const int ntiles_x = ((Q->ne[1] + ncols1 - 1) / ncols1); + const int gqa_ratio = Q->ne[2] / K->ne[2]; + const int ntiles_z_gqa = ((gqa_ratio + ncols2 - 1) / ncols2); + const int ntiles_total = ntiles_x * ntiles_z_gqa * K->ne[2] * Q->ne[3]; + + // Optional optimization where the mask is scanned to determine whether part of the calculation can be skipped. + // Only worth the overhead if there is at lease one FATTN_KQ_STRIDE x FATTN_KQ_STRIDE square to be skipped or + // multiple sequences of possibly different lengths. + if (mask && K->ne[1] % FATTN_KQ_STRIDE == 0 && (Q->ne[1] >= 1024 || Q->ne[3] > 1)) { + const int s31 = mask->nb[1] / sizeof(sycl::half2); + const int s33 = mask->nb[3] / sizeof(sycl::half2); + + const dpct::dim3 blocks_num_KV_max(ntiles_x, Q->ne[3], 1); + const dpct::dim3 block_dim_KV_max(FATTN_KQ_STRIDE / 2, 1, 1); + + const int ne_KV_max = blocks_num_KV_max.x*blocks_num_KV_max.y; + const int iter_k = K->ne[1] / FATTN_KQ_STRIDE; + + KV_max.alloc(ne_KV_max); + { + dpct::has_capability_or_fail(main_stream->get_device(), { sycl::aspect::fp16 }); + + main_stream->submit([&](sycl::handler & cgh) { + sycl::local_accessor buf_iw_acc_ct1(sycl::range<1>(warp_size), cgh); + + auto mask_data_ct0 = (const sycl::half2 *) mask->data; + auto KV_max_ptr_ct1 = KV_max.ptr; + + cgh.parallel_for(sycl::nd_range<3>(blocks_num_KV_max * block_dim_KV_max, block_dim_KV_max), + [=](sycl::nd_item<3> item_ct1) { + GGML_UNUSED(item_ct1); + flash_attn_mask_to_KV_max( + mask_data_ct0, KV_max_ptr_ct1, iter_k, s31, s33, + buf_iw_acc_ct1.get_multi_ptr().get()); + }); + }); + } + SYCL_CHECK(0); + } + + const dpct::dim3 block_dim(warp_size, nwarps, 1); + + // Max. number of active blocks limited by occupancy. + int max_blocks_per_sm = ggml_sycl_info().devices[id].max_wg_per_cu; + int parallel_blocks = max_blocks_per_sm; + dpct::dim3 blocks_num; + if (stream_k) { + // For short contexts it can be faster to have the SMs work on whole tiles because this lets us skip the fixup. + const int max_blocks = max_blocks_per_sm*nsm; + const int nblocks_stream_k = max_blocks; + const bool use_stream_k = true; + + blocks_num.x = use_stream_k ? nblocks_stream_k : ntiles_total; + blocks_num.y = 1; + blocks_num.z = 1; + + if (ntiles_total % blocks_num.x != 0) { // Fixup is only needed if the SMs work on fractional tiles. + dst_tmp_meta.alloc((size_t(blocks_num.x) * ncols * (2 + DV/2))); + } + } else { + const int ntiles_KQ = (K->ne[1] + nbatch_fa - 1) / nbatch_fa; // Max. number of parallel blocks limited by tensor size. + + // parallel_blocks must not be larger than what the tensor size allows: + parallel_blocks = std::min(parallel_blocks, ntiles_KQ); + // todo fix the hard code change + // parallel_blocks = ntiles_KQ; + + // If ntiles_total % blocks_per_wave != 0 then some efficiency is lost due to tail effects. + // Test whether parallel_blocks can be set to a higher value for better efficiency. + const int blocks_per_wave = nsm * max_blocks_per_sm; + int nwaves_best = 0; + int efficiency_percent_best = 0; + for (int parallel_blocks_test = parallel_blocks; parallel_blocks_test <= ntiles_KQ; ++parallel_blocks_test) { + const int nblocks_total = ntiles_total * parallel_blocks_test; + const int nwaves = (nblocks_total + blocks_per_wave - 1) / blocks_per_wave; + const int efficiency_percent = 100 * nblocks_total / (nwaves*blocks_per_wave); + + // Stop trying configurations with more waves if we already have good efficiency to avoid excessive overhead. + if (efficiency_percent_best >= 95 && nwaves > nwaves_best) { + break; + } + + if (efficiency_percent > efficiency_percent_best) { + nwaves_best = nwaves; + efficiency_percent_best = efficiency_percent; + parallel_blocks = parallel_blocks_test; + } + } + + blocks_num.x = ntiles_x; + blocks_num.y = parallel_blocks; + blocks_num.z = ntiles_z_gqa*K->ne[2]*Q->ne[3]; + + if (parallel_blocks > 1) { + dst_tmp.alloc(parallel_blocks*ggml_nelements(KQV)); + dst_tmp_meta.alloc(parallel_blocks*ggml_nrows(KQV)); + } + } + + float scale = 1.0f; + float max_bias = 0.0f; + float logit_softcap = 0.0f; + + memcpy(&scale, (const float *) KQV->op_params + 0, sizeof(float)); + memcpy(&max_bias, (const float *) KQV->op_params + 1, sizeof(float)); + memcpy(&logit_softcap, (const float *) KQV->op_params + 2, sizeof(float)); + + if (logit_softcap != 0.0f) { + scale /= logit_softcap; + } + + const uint32_t n_head = Q->ne[2]; + const uint32_t n_head_log2 = 1u << uint32_t(floorf(log2f(float(n_head)))); + + const float m0 = powf(2.0f, -(max_bias ) / n_head_log2); + const float m1 = powf(2.0f, -(max_bias / 2.0f) / n_head_log2); + + // TODO other tensor dimensions after removal of WMMA kernel: + const sycl::uint3 ne01 = init_fastdiv_values(Q->ne[1]); + + GGML_ASSERT(block_dim.x % warp_size == 0); + + lauch_kernel( + blocks_num, block_dim, main_stream, (unsigned int) nbytes_shared, (const char *) Q->data, K_data, V_data, + mask ? ((const char *) mask->data) : nullptr, sinks ? ((const char *) sinks->data) : nullptr, KV_max.ptr, + !stream_k && parallel_blocks > 1 ? dst_tmp.ptr : (float *) KQV->data, (sycl::float2 *)dst_tmp_meta.ptr, scale, max_bias, m0, m1, + n_head_log2, logit_softcap, Q->ne[0], ne01, Q->ne[2], Q->ne[3], Q->nb[1], Q->nb[2], Q->nb[3], K->ne[0], + K->ne[1], K->ne[2], K->ne[3], nb11, nb12, nb13, nb21, nb22, nb23, mask ? mask->ne[1] : 0, + mask ? mask->ne[2] : 0, mask ? mask->ne[3] : 0, mask ? mask->nb[1] : 0, mask ? mask->nb[2] : 0, + mask ? mask->nb[3] : 0); + SYCL_CHECK(0); + + if (stream_k) { + if (ntiles_total % blocks_num.x != 0) { // Fixup is only needed if the SMs work on fractional tiles. + const dpct::dim3 block_dim_combine(DV, 1, 1); + const dpct::dim3 blocks_num_combine = { blocks_num.x, ncols1, ncols2 }; + + main_stream->submit([&](sycl::handler & cgh) { + auto KQV_data_ct0 = (float *) KQV->data; + auto dst_tmp_meta_ptr_ct1 = dst_tmp_meta.ptr; + auto Q_ne_ct2 = Q->ne[1]; + auto Q_ne_ct3 = Q->ne[2]; + auto Q_ne_ct4 = Q->ne[3]; + auto K_ne_ct5 = K->ne[1]; + auto K_ne_ct6 = K->ne[2]; + + cgh.parallel_for(sycl::nd_range<3>(blocks_num_combine * block_dim_combine, block_dim_combine), + [=](sycl::nd_item<3> item_ct1) { + GGML_UNUSED(item_ct1); + flash_attn_stream_k_fixup(KQV_data_ct0, dst_tmp_meta_ptr_ct1, + Q_ne_ct2, Q_ne_ct3, Q_ne_ct4, + K_ne_ct5, K_ne_ct6, nbatch_fa); + }); + }); + } + } else if (parallel_blocks > 1) { + const dpct::dim3 block_dim_combine(DV, 1, 1); + const dpct::dim3 blocks_num_combine(Q->ne[1], Q->ne[2], Q->ne[3]); + const size_t nbytes_shared_combine = parallel_blocks * sizeof(sycl::float2); + main_stream->submit([&](sycl::handler & cgh) { + sycl::local_accessor dpct_local_acc_ct1(sycl::range<1>(nbytes_shared_combine), cgh); + + auto dst_tmp_ptr_ct0 = dst_tmp.ptr; + auto dst_tmp_meta_ptr_ct1 = dst_tmp_meta.ptr; + auto KQV_data_ct2 = (float *) KQV->data; + + cgh.parallel_for(sycl::nd_range<3>(blocks_num_combine * block_dim_combine, block_dim_combine), + [=](sycl::nd_item<3> item_ct1) { + GGML_UNUSED(item_ct1); + flash_attn_combine_results( + dst_tmp_ptr_ct0, dst_tmp_meta_ptr_ct1, KQV_data_ct2, parallel_blocks, + dpct_local_acc_ct1.get_multi_ptr().get()); + }); + }); + } + SYCL_CHECK(0); +} diff --git a/ggml/src/ggml-sycl/fattn-tile.cpp b/ggml/src/ggml-sycl/fattn-tile.cpp new file mode 100644 index 0000000000..9d4f019cf5 --- /dev/null +++ b/ggml/src/ggml-sycl/fattn-tile.cpp @@ -0,0 +1,55 @@ +#include +#include +#include "dpct/helper.hpp" +#include "common.hpp" +#include "fattn-common.hpp" +#include "fattn-tile.hpp" +#include +#include +namespace syclex = sycl::ext::oneapi::experimental; + +void ggml_sycl_flash_attn_ext_tile(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + const ggml_tensor * K = dst->src[1]; + const ggml_tensor * V = dst->src[2]; + switch (K->ne[0]) { + case 40: { + GGML_ASSERT(V->ne[0] == K->ne[0]); + ggml_sycl_flash_attn_ext_tile_case< 40, 40>(ctx, dst); + } break; + case 64: { + GGML_ASSERT(V->ne[0] == K->ne[0]); + ggml_sycl_flash_attn_ext_tile_case< 64, 64>(ctx, dst); + } break; + case 72: { + GGML_ASSERT(V->ne[0] == K->ne[0]); + ggml_sycl_flash_attn_ext_tile_case< 72, 72>(ctx, dst); + } break; + case 80: { + GGML_ASSERT(V->ne[0] == K->ne[0]); + ggml_sycl_flash_attn_ext_tile_case< 80, 80>(ctx, dst); + } break; + case 96: { + GGML_ASSERT(V->ne[0] == K->ne[0]); + ggml_sycl_flash_attn_ext_tile_case< 96, 96>(ctx, dst); + } break; + case 112: { + GGML_ASSERT(V->ne[0] == K->ne[0]); + ggml_sycl_flash_attn_ext_tile_case<112, 112>(ctx, dst); + } break; + case 128: { + GGML_ASSERT(V->ne[0] == K->ne[0]); + ggml_sycl_flash_attn_ext_tile_case<128, 128>(ctx, dst); + } break; + case 256: { + GGML_ASSERT(V->ne[0] == K->ne[0]); + ggml_sycl_flash_attn_ext_tile_case<256, 256>(ctx, dst); + } break; + case 576: { + GGML_ASSERT(V->ne[0] == 512); + ggml_sycl_flash_attn_ext_tile_case<576, 512>(ctx, dst); + } break; + default: { + GGML_ABORT("Unsupported head size"); + } break; + } +} diff --git a/ggml/src/ggml-sycl/fattn-tile.hpp b/ggml/src/ggml-sycl/fattn-tile.hpp new file mode 100644 index 0000000000..29fd0f8c9e --- /dev/null +++ b/ggml/src/ggml-sycl/fattn-tile.hpp @@ -0,0 +1,1338 @@ +#include +#include +#include "dpct/helper.hpp" +#include "common.hpp" +#include "fattn-common.hpp" + +#include +#include + +namespace syclex = sycl::ext::oneapi::experimental; + +#define GGML_SYCL_FATTN_TILE_CONFIG_CASE(DKQ_, DV_, ncols_, nthreads, occupancy, nbatch_fa, nbatch_K) \ + if (DKQ == (DKQ_) && DV == (DV_) && ncols == (ncols_)) { \ + static_assert((nthreads) <= 512, "bad nthreads"); \ + static_assert((occupancy) <= 8, "bad occupancy"); \ + static_assert((nbatch_fa) <= 256, "bad nbatch_fa"); \ + static_assert((nbatch_K) <= 256, "bad nbatch_K"); \ + return ((nthreads) << 0) | ((occupancy) << 10) | ((nbatch_fa) << 14) | ((nbatch_K) << 23); \ + } \ + +static constexpr uint32_t ggml_sycl_fattn_tile_get_config_fp16(const int DKQ, const int DV, const int ncols) { + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 2, 64, 2, 64, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 4, 128, 2, 64, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 8, 256, 2, 64, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 16, 256, 2, 64, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 32, 256, 2, 64, 40) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 2, 64, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 4, 128, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 8, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 16, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 32, 256, 2, 64, 64) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 2, 64, 2, 64, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 4, 128, 2, 64, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 8, 256, 2, 64, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 16, 256, 2, 64, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 32, 256, 2, 64, 72) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 2, 64, 2, 64, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 4, 128, 2, 64, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 8, 256, 2, 64, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 16, 256, 2, 64, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 32, 256, 2, 64, 40) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 2, 64, 2, 64, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 4, 128, 2, 64, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 8, 256, 2, 64, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 16, 256, 2, 64, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 32, 256, 2, 64, 48) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 2, 64, 2, 64, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 4, 128, 2, 64, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 8, 256, 2, 64, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 16, 256, 2, 64, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 32, 256, 2, 64, 56) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 2, 64, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 4, 128, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 8, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 16, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 2, 64, 64) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 2, 64, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 4, 128, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 8, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2, 64, 64) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 4, 128, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 8, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 2, 64, 64) + + return 0; +} + +static constexpr uint32_t ggml_sycl_fattn_tile_get_config_fp32(const int DKQ, const int DV, const int ncols) { + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 2, 64, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 4, 128, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 8, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 16, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 32, 256, 2, 32, 40) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 2, 128, 3, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 4, 128, 3, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 8, 128, 3, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 16, 128, 3, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 32, 256, 2, 64, 64) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 2, 64, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 4, 128, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 8, 256, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 16, 256, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 32, 256, 2, 32, 72) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 2, 64, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 4, 128, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 8, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 16, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 32, 256, 2, 32, 40) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 2, 64, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 4, 128, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 8, 256, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 16, 256, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 32, 256, 2, 32, 48) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 2, 64, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 4, 128, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 8, 256, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 16, 256, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 32, 256, 2, 32, 56) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 2, 128, 3, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 4, 128, 3, 32, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 8, 128, 3, 64, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 16, 128, 3, 32, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 2, 64, 64) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 2, 128, 3, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 4, 128, 3, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 8, 256, 2, 32, 256) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2, 32, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2, 32, 64) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 4, 128, 2, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 8, 256, 2, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 2, 32, 64) + + return 0; +} + +static constexpr uint32_t ggml_sycl_fattn_tile_get_config_amd(const int DKQ, const int DV, const int ncols) { + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 2, 64, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 4, 128, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 8, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 16, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 32, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 64, 256, 2, 32, 40) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 2, 64, 3, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 4, 128, 3, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 8, 128, 2, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 16, 256, 2, 128, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 32, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 64, 256, 2, 64, 64) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 2, 64, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 4, 128, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 8, 256, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 16, 256, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 32, 256, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 64, 256, 2, 32, 72) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 2, 64, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 4, 128, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 8, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 16, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 32, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 64, 256, 2, 32, 40) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 2, 64, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 4, 128, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 8, 256, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 16, 256, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 32, 256, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 64, 256, 2, 32, 48) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 2, 64, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 4, 128, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 8, 256, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 16, 256, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 32, 256, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 64, 256, 2, 32, 56) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 2, 256, 2, 128, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 4, 128, 2, 64, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 8, 256, 2, 64, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 16, 256, 2, 64, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 64, 256, 2, 64, 32) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 2, 256, 2, 128, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 4, 256, 2, 64, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 8, 256, 2, 64, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2, 32, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2, 32, 128) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 4, 128, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 8, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 32, 512, 1, 128, 64) + + return 0; +} + +static constexpr uint32_t ggml_sycl_fattn_tile_get_config_amd_rdna(const int DKQ, const int DV, const int ncols) { + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 2, 64, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 4, 128, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 8, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 16, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 32, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 64, 256, 2, 32, 40) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 2, 64, 8, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 4, 64, 8, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 8, 128, 5, 128, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 16, 128, 5, 128, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 32, 128, 4, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 64, 128, 5, 64, 64) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 2, 64, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 4, 128, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 8, 256, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 16, 256, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 32, 256, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 64, 256, 2, 32, 72) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 2, 64, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 4, 128, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 8, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 16, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 32, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 64, 256, 2, 32, 40) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 2, 64, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 4, 128, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 8, 256, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 16, 256, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 32, 256, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 64, 256, 2, 32, 48) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 2, 64, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 4, 128, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 8, 256, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 16, 256, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 32, 256, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 64, 256, 2, 32, 56) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 2, 64, 8, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 4, 128, 8, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 8, 128, 8, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 16, 256, 3, 128, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 3, 128, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 64, 256, 3, 64, 64) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 2, 64, 8, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 4, 128, 6, 32, 256) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 8, 128, 6, 32, 256) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 5, 32, 256) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 3, 64, 128) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 4, 128, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 8, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 4, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 32, 256, 2, 128, 64) + + return 0; +} + +static constexpr uint32_t ggml_sycl_fattn_tile_get_config(const int DKQ, const int DV, const int ncols, const int cc) { + if(fast_fp16_available(cc)) + return ggml_sycl_fattn_tile_get_config_fp16(DKQ, DV, ncols); + else + return ggml_sycl_fattn_tile_get_config_fp32(DKQ, DV, ncols); +} + +static constexpr uint32_t ggml_sycl_fattn_tile_get_config(const int DKQ, const int DV, const int ncols) { +#ifdef SYCL_FAST_FP16 + return ggml_sycl_fattn_tile_get_config_fp16(DKQ, DV, ncols); +#else + return ggml_sycl_fattn_tile_get_config_fp32(DKQ, DV, ncols); +#endif // SYCL_FAST_FP16 +} + +static int ggml_sycl_fattn_tile_get_nthreads(const int DKQ, const int DV, const int ncols, const int cc) { + return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols, cc) >> 0) & ((1 << 10) - 1); +} + +static constexpr int ggml_sycl_fattn_tile_get_nthreads(const int DKQ, const int DV, const int ncols) { + return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols) >> 0) & ((1 << 10) - 1); +} + +static int ggml_sycl_fattn_tile_get_occupancy(const int DKQ, const int DV, const int ncols, const int cc) { + return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols, cc) >> 10) & ((1 << 4) - 1); +} + +static constexpr int ggml_sycl_fattn_tile_get_occupancy(const int DKQ, const int DV, const int ncols) { + return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols) >> 10) & ((1 << 4) - 1); +} + +static int ggml_sycl_fattn_tile_get_nbatch_fa(const int DKQ, const int DV, const int ncols, const int cc) { + return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols, cc) >> 14) & ((1 << 9) - 1); +} + +static constexpr int ggml_sycl_fattn_tile_get_nbatch_fa(const int DKQ, const int DV, const int ncols) { + return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols) >> 14) & ((1 << 9) - 1); +} + +static int ggml_sycl_fattn_tile_get_nbatch_K(const int DKQ, const int DV, const int ncols, const int cc) { + return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols, cc) >> 23) & ((1 << 9) - 1); +} + +static constexpr int ggml_sycl_fattn_tile_get_nbatch_K(const int DKQ, const int DV, const int ncols) { + return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols) >> 23) & ((1 << 9) - 1); +} + +template +static __dpct_inline__ void flash_attn_tile_load_tile(const sycl::half2 * const __restrict__ KV, + sycl::half2 * const __restrict__ tile_KV, + const int stride_KV, + const int i_sup) { + constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes(); + constexpr int cpy_ne = cpy_nb / 4; + + auto load = [&] (const int n) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const int stride_j = warp_size >> n; + + if (stride_j == 0) { + return; + } + + const int j0_start = stride_j == warp_size ? 0 : ((J/2)/cpy_ne) - ((J/2)/cpy_ne) % (2*stride_j); + const int j0_stop = ((J/2)/cpy_ne) - ((J/2)/cpy_ne) % (1*stride_j); + const int stride_i = warp_size / stride_j; + + if (j0_start == j0_stop) { + return; + } + +#pragma unroll + for (int i0 = 0; i0 < I; i0 += nwarps*stride_i) { + const int i = i0 + item_ct1.get_local_id(1) * stride_i + + (stride_j == warp_size ? 0 : item_ct1.get_local_id(2) / stride_j); + + if (i0 + nwarps*stride_i <= I || i < I) { +#pragma unroll + for (int j0 = j0_start; j0 < j0_stop; j0 += stride_j) { + const int j = j0 * cpy_ne + (stride_j == warp_size ? item_ct1.get_local_id(2) : + item_ct1.get_local_id(2) % stride_j) * + cpy_ne; + + const __dpct_align__(16) sycl::half2 zero[cpy_ne] = { + { 0.0f, 0.0f } + }; + ggml_sycl_memcpy_1( + tile_KV + i*(J/2 + J_padding) + j, + !oob_check || i < i_sup ? KV + i*stride_KV + j : zero); + } + } + } + }; + // 1: max 64*16=512 bytes, 512 half + // 2: max 32*16=512 bytes, 256 half + // 3: max 16*16=256 bytes, 128 half + // 4: max 8*16=128 bytes, 64 half + // 5: max 4*16= 64 bytes, 32 half + // 6: max 2*16= 32 bytes, 16 half + // 7: max 1*16= 16 bytes, 8 half + static_assert(J % 8 == 0, "bad J"); + static_assert((J/2) % cpy_ne == 0, "bad J"); + ggml_sycl_unroll<7>{}(load); +} + +template +static __dpct_inline__ void flash_attn_tile_load_tile(const sycl::half2 * const __restrict__ KV, + float * const __restrict__ tile_KV, + const int stride_KV, + const int i_sup) { + constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes(); + constexpr int cpy_ne = cpy_nb / 4; + + auto load = [&] (const int n) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const int stride_j = warp_size >> n; + + if (stride_j == 0) { + return; + } + + const int j0_start = stride_j == warp_size ? 0 : (J/cpy_ne) - (J/cpy_ne) % (2*stride_j); + const int j0_stop = (J/cpy_ne) - (J/cpy_ne) % (1*stride_j); + const int stride_i = warp_size / stride_j; + + if (j0_start == j0_stop) { + return; + } + +#pragma unroll + for (int i0 = 0; i0 < I; i0 += nwarps*stride_i) { + const int i = i0 + item_ct1.get_local_id(1) * stride_i + + (stride_j == warp_size ? 0 : item_ct1.get_local_id(2) / stride_j); + + if (i0 + nwarps*stride_i <= I || i < I) { +#pragma unroll + for (int j0 = j0_start; j0 < j0_stop; j0 += stride_j) { + const int j = j0 * (cpy_ne / 2) + (stride_j == warp_size ? item_ct1.get_local_id(2) : + item_ct1.get_local_id(2) % stride_j) * + (cpy_ne / 2); + + const sycl::half2 zero[cpy_ne / 2] = { + { 0.0f, 0.0f } + }; + __dpct_align__(16) sycl::half2 tmp_h2[cpy_ne / 2]; + ggml_sycl_memcpy_1( + tmp_h2, !oob_check || i < i_sup ? KV + i*stride_KV + j : zero); + + __dpct_align__(16) sycl::float2 tmp_f2[cpy_ne / 2]; +#pragma unroll + for (int l = 0; l < cpy_ne/2; ++l) { + tmp_f2[l] = tmp_h2[l].template convert(); + } + ggml_sycl_memcpy_1(tile_KV + i*(J + J_padding) + 2*j, tmp_f2); + } + } + } + }; + // 1: max 32*16=512 bytes, 128 float + // 2: max 16*16=256 bytes, 64 float + // 3: max 8*16=128 bytes, 32 float + // 4: max 4*16= 64 bytes, 16 float + // 5: max 2*16= 32 bytes, 8 float + static_assert(J % 8 == 0, "bad J"); + static_assert(J % cpy_ne == 0, "bad J"); + ggml_sycl_unroll<5>{}(load); +} + +// Function that performs a single iteration in for the KQ matrix multiplication: +template +static __dpct_inline__ void flash_attn_tile_iter_KQ(T_vec_dot * const Q_tmp, + const sycl::half2 * const __restrict__ K_h2, + T_vec_dot * const KV_tmp, + const int stride_K2, + const int k_VKQ_0, + const int k_VKQ_sup, + const int k_KQ_0, + float * KQ_acc) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes(); + constexpr int cpy_ne = cpy_nb / 4; + + constexpr int ncols = ncols1*ncols2; + constexpr int cpw = ncols > nwarps ? ncols/nwarps : 1; // Q columns per warp + constexpr int np = nwarps > ncols ? nwarps/ncols : 1; // number of parallel warps per Q column + + flash_attn_tile_load_tile + (K_h2 + int64_t(k_VKQ_0)*stride_K2 + k_KQ_0/2, KV_tmp, stride_K2, k_VKQ_sup); + item_ct1.barrier(); + +#ifdef SYCL_FAST_FP16 + static_assert((nbatch_K/2) % cpy_ne == 0, "bad nbatch_K"); +#pragma unroll + for (int k_KQ_1 = 0; k_KQ_1 < nbatch_K/2; k_KQ_1 += cpy_ne) { + __dpct_align__(16) sycl::half2 K_k[nbatch_fa / (np * warp_size)][cpy_ne]; + __dpct_align__(16) sycl::half2 Q_k[cpw][cpy_ne]; +#else + static_assert(nbatch_K % cpy_ne == 0, "bad nbatch_K"); +#pragma unroll + for (int k_KQ_1 = 0; k_KQ_1 < nbatch_K; k_KQ_1 += cpy_ne) { + __dpct_align__(16) float K_k[nbatch_fa/(np*warp_size)][cpy_ne]; + __dpct_align__(16) float Q_k[cpw][cpy_ne]; +#endif // SYCL_FAST_FP16 + +#pragma unroll + for (int i_KQ_0 = 0; i_KQ_0 < nbatch_fa; i_KQ_0 += np*warp_size) { + const int i_KQ = i_KQ_0 + (item_ct1.get_local_id(1) % np) * warp_size + item_ct1.get_local_id(2); + +#ifdef SYCL_FAST_FP16 + ggml_sycl_memcpy_1(&K_k[i_KQ_0/(np*warp_size)], &KV_tmp[i_KQ*(nbatch_K/2 + cpy_ne) + k_KQ_1]); +#else + ggml_sycl_memcpy_1(&K_k[i_KQ_0/(np*warp_size)], &KV_tmp[i_KQ*(nbatch_K + cpy_ne) + k_KQ_1]); +#endif // SYCL_FAST_FP16 + } +#pragma unroll + for (int jc0 = 0; jc0 < cpw; ++jc0) { + const int jc = jc0 + (item_ct1.get_local_id(1) / np) * cpw; + +#ifdef SYCL_FAST_FP16 + ggml_sycl_memcpy_1(&Q_k[jc0], &Q_tmp[jc*(DKQ/2) + k_KQ_0/2 + k_KQ_1]); +#else + ggml_sycl_memcpy_1(&Q_k[jc0], &Q_tmp[jc* DKQ + k_KQ_0 + k_KQ_1]); +#endif // SYCL_FAST_FP16 + } + +#pragma unroll + for (int i_KQ_0 = 0; i_KQ_0 < nbatch_fa; i_KQ_0 += np*warp_size) { +#pragma unroll + for (int jc0 = 0; jc0 < cpw; ++jc0) { +#pragma unroll + for (int k = 0; k < cpy_ne; ++k) { + ggml_sycl_mad(KQ_acc[i_KQ_0/(np*warp_size)*cpw + jc0], K_k[i_KQ_0/(np*warp_size)][k], Q_k[jc0][k]); + } + } + } + } + + if (k_KQ_0 + nbatch_K < DKQ) { + item_ct1.barrier(); // Sync not needed on last iteration. + } +} + +// Function that performs a single iteration of the main loop over up to nbatch_fa tokens. +template +/* +The total declared local variable size in device function flash_attn_tile_iter exceeds 128 bytes and may cause high register pressure. Consult with your hardware vendor to find the total register size available and adjust the code, or use smaller sub-group size to avoid high register pressure. +*/ +static __dpct_inline__ void flash_attn_tile_iter(T_vec_dot * const Q_tmp, + const sycl::half2 * const __restrict__ K_h2, + const sycl::half2 * const __restrict__ V_h2, + const sycl::half * const __restrict__ mask, + const sycl::uint3 ne01, + const float logit_softcap, + const float slope, + T_KQ * const KQ, + T_vec_dot * const KV_tmp, + const int stride_K2, + const int stride_V2, + const int stride_mask, + float * const KQ_max, + float * const KQ_sum, + T_acc * const VKQ, + const int k_VKQ_0, + const int k_VKQ_max, + const int col_Q_0, + float * KQ_max_new_shared) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes(); + constexpr int cpy_ne = cpy_nb / 4; + + constexpr int ncols = ncols1*ncols2; + constexpr int cpw = ncols > nwarps ? ncols/nwarps : 1; // Q columns per warp + constexpr int np = nwarps > ncols ? nwarps/ncols : 1; // number of parallel warps per Q column + + constexpr int DVp = (DV + 2*warp_size - 1) & ~(2*warp_size - 1); // DV padded to multiple of 2*warp_size. + +#ifdef SYCL_FAST_FP16 + constexpr int KQ_cs = cpw < 2*cpy_ne ? cpw : 2*cpy_ne; +#else + constexpr int KQ_cs = cpw < 1*cpy_ne ? cpw : 1*cpy_ne; +#endif // SYCL_FAST_FP16 + static_assert(cpw % KQ_cs == 0, "bad KQ_cs"); + const int k_VKQ_sup = k_VKQ_max - k_VKQ_0; // k supremum, only smaller k values have valid KV data + + float KQ_max_new[cpw]; +#pragma unroll + for (int jc0 = 0; jc0 < cpw; ++jc0) { + KQ_max_new[jc0] = KQ_max[jc0]; + } + + float KQ_acc[nbatch_fa/(np*warp_size) * cpw] = {0.0f}; // Accumulators for KQ matrix multiplication. + + // KQ = K @ Q matrix multiplication: + constexpr int nbatch_K_last = DKQ % nbatch_K; +#pragma unroll + for (int k_KQ_0 = 0; k_KQ_0 < DKQ - nbatch_K_last; k_KQ_0 += nbatch_K) { + flash_attn_tile_iter_KQ( + Q_tmp, K_h2, KV_tmp, stride_K2, k_VKQ_0, k_VKQ_sup, k_KQ_0, KQ_acc); + } + if (nbatch_K_last > 0) { + constexpr int k_KQ_0 = DKQ - nbatch_K_last; + flash_attn_tile_iter_KQ( + Q_tmp, K_h2, KV_tmp, stride_K2, k_VKQ_0, k_VKQ_sup, k_KQ_0, KQ_acc); + } + + // Apply logit softcap + mask, update KQ_max: +#pragma unroll + for (int jc0 = 0; jc0 < cpw; ++jc0) { + const int j = fastmodulo(col_Q_0 + (jc0 + (item_ct1.get_local_id(1) / np) * cpw) / ncols2, ne01); + +#pragma unroll + for (int i_KQ_0 = 0; i_KQ_0 < nbatch_fa; i_KQ_0 += np*warp_size) { + const int i_KQ = i_KQ_0 + (item_ct1.get_local_id(1) % np) * warp_size + item_ct1.get_local_id(2); + +#if defined(SYCL_FAST_FP16) && !defined(GGML_SYCL_F16) + // Without the v_dot2_f32_f16 instruction there is a higher risk of numerical overflow in the KQ calculation. + // Therefore, scale down Q values and apply the inverse scale the FP32 KQ values afterwards again. + KQ_acc[i_KQ_0/(np*warp_size)*cpw + jc0] *= 4.0f; +#endif // defined(SYCL_FAST_FP16) && !defined(GGML_SYCL_F16) + + if (use_logit_softcap) { + KQ_acc[(i_KQ_0 / (np * warp_size)) * cpw + jc0] = + logit_softcap * sycl::tanh((float) KQ_acc[(i_KQ_0 / (np * warp_size)) * cpw + jc0]); + } + + if (!oob_check || i_KQ < k_VKQ_sup) { + KQ_acc[(i_KQ_0 / (np * warp_size)) * cpw + jc0] += + (ncols2 > 1 || mask) ? slope * sycl::vec(mask[j * stride_mask + k_VKQ_0 + i_KQ]) + .convert()[0] : + 0.0f; + + KQ_max_new[jc0] = + sycl::fmax((float) KQ_max_new[jc0], + (float) (KQ_acc[(i_KQ_0 / (np * warp_size)) * cpw + jc0] + FATTN_KQ_MAX_OFFSET)); + } + } + + KQ_max_new[jc0] = warp_reduce_max(KQ_max_new[jc0]); + } + + if constexpr (np == 1) { + item_ct1.barrier(); + } else { + static_assert(cpw == 1, "bad cpw"); + + if (item_ct1.get_local_id(2) == 0) { + KQ_max_new_shared[item_ct1.get_local_id(1)] = KQ_max_new[0]; + } + item_ct1.barrier(); + KQ_max_new[0] = KQ_max_new_shared[(item_ct1.get_local_id(1) & ~(np - 1)) + item_ct1.get_local_id(2) % np]; + KQ_max_new[0] = warp_reduce_max(KQ_max_new[0]); + } + + // Calculate KQ softmax, write to shared KQ buffer, re-scale VKQ accumulators: +#pragma unroll + for (int jc0 = 0; jc0 < cpw; jc0 += KQ_cs) { +#ifdef SYCL_FAST_FP16 + __dpct_align__(16) sycl::half tmp[nbatch_fa / (np * warp_size)][KQ_cs]; +#else + __dpct_align__(16) float tmp[nbatch_fa/(np*warp_size)][KQ_cs]; +#endif // SYCL_FAST_FP16 + +#pragma unroll + for (int jc1 = 0; jc1 < KQ_cs; ++jc1) { + const int jc = jc0 + jc1; + + const float KQ_max_scale = sycl::native::exp((float) (KQ_max[jc] - KQ_max_new[jc])); + KQ_max[jc] = KQ_max_new[jc]; + + float KQ_sum_add = 0.0f; +#pragma unroll + for (int i0 = 0; i0 < nbatch_fa; i0 += np*warp_size) { + const float val = + !oob_check || i0 + (item_ct1.get_local_id(1) % np) * warp_size + item_ct1.get_local_id(2) < + static_cast(k_VKQ_sup) ? + sycl::native::exp((float) (KQ_acc[(i0 / (np * warp_size)) * cpw + jc] - KQ_max[jc])) : + 0.0f; + KQ_sum_add += val; + tmp[i0/(np*warp_size)][jc1] = val; + } + KQ_sum[jc] = KQ_sum[jc]*KQ_max_scale + KQ_sum_add; + +#ifdef SYCL_FAST_FP16 + const sycl::half2 KQ_max_scale_h2 = sycl::half2(KQ_max_scale, KQ_max_scale); +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size) { + VKQ[jc*((DVp/2)/warp_size) + i0/warp_size].x() *= KQ_max_scale_h2.x(); + VKQ[jc*((DVp/2)/warp_size) + i0/warp_size].y() *= KQ_max_scale_h2.y(); + } +#else +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size) { + VKQ[jc*((DVp/2)/warp_size) + i0/warp_size].x() *= KQ_max_scale; + VKQ[jc*((DVp/2)/warp_size) + i0/warp_size].y() *= KQ_max_scale; + } +#endif // SYCL_FAST_FP16 + } + +#pragma unroll + for (int i0 = 0; i0 < nbatch_fa; i0 += np*warp_size) { + const int i = i0 + (item_ct1.get_local_id(1) % np) * warp_size + item_ct1.get_local_id(2); + + ggml_sycl_memcpy_1( + KQ + (jc0 / KQ_cs + (item_ct1.get_local_id(1) / np) * (cpw / KQ_cs)) * (nbatch_fa * KQ_cs) + i * KQ_cs, + tmp[i0 / (np * warp_size)]); + } + } + + // VKQ = V @ KQ matrix multiplication: + static_assert(DV <= DKQ, "bad DV"); + static_assert(DV % nbatch_K == 0 || (nbatch_K % 3 == 0 && DV % (nbatch_K*2/3) == 0), "bad nbatch_K"); + constexpr int nbatch_V = (DV % nbatch_K == 0 ? nbatch_K : nbatch_K*2/3) * nbatch_fa / DV; // Number of V columns that fit in SRAM for K. + static_assert(nbatch_fa % nbatch_V == 0, "bad nbatch_V"); + static_assert(nbatch_V % np == 0, "bad nbatch_V"); +#pragma unroll + for (int k0 = 0; k0 < nbatch_fa; k0 += nbatch_V) { + flash_attn_tile_load_tile + (V_h2 + int64_t(k_VKQ_0 + k0)*stride_V2, KV_tmp, stride_V2, k_VKQ_sup - k0); + item_ct1.barrier(); + +#ifdef SYCL_FAST_FP16 +#pragma unroll + for (int k1 = 0; k1 < nbatch_V; k1 += np) { + __dpct_align__(16) sycl::half2 V_k[(DVp / 2) / warp_size]; + __dpct_align__(16) sycl::half2 KQ_k[cpw]; + + constexpr int cpy_ne_D = cpy_ne/2 < (DVp/2)/warp_size ? cpy_ne/2 : (DVp/2)/warp_size; +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size*cpy_ne_D) { + ggml_sycl_memcpy_1(&V_k[i0 / warp_size], + &KV_tmp[(k1 + item_ct1.get_local_id(1) % np) * (DV / 2) + i0 + + item_ct1.get_local_id(2) * cpy_ne_D]); + } +#pragma unroll + for (int jc_VKQ_0 = 0; jc_VKQ_0 < cpw; jc_VKQ_0 += KQ_cs) { + const int jc_KQ = jc_VKQ_0 / KQ_cs + (item_ct1.get_local_id(1) / np) * (cpw / KQ_cs); + + __dpct_align__(16) sycl::half tmp[KQ_cs]; + ggml_sycl_memcpy_1( + &tmp, KQ + jc_KQ * (nbatch_fa * KQ_cs) + (k0 + k1 + item_ct1.get_local_id(1) % np) * KQ_cs); +#pragma unroll + for (int jc_VKQ_1 = 0; jc_VKQ_1 < KQ_cs; ++jc_VKQ_1) { + KQ_k[jc_VKQ_0 + jc_VKQ_1] = sycl::half2(tmp[jc_VKQ_1]); + } + } + +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size) { +#pragma unroll + for (int jc_VKQ_0 = 0; jc_VKQ_0 < cpw; ++jc_VKQ_0) { + VKQ[jc_VKQ_0*((DVp/2)/warp_size) + i0/warp_size].x() += + V_k[i0/warp_size].x()*KQ_k[jc_VKQ_0].x(); + VKQ[jc_VKQ_0*((DVp/2)/warp_size) + i0/warp_size].y() += + V_k[i0/warp_size].y()*KQ_k[jc_VKQ_0].y(); + } + } + } +#else +#pragma unroll + for (int k1 = 0; k1 < nbatch_V; k1 += np) { + __dpct_align__(16) sycl::float2 V_k[(DVp/2)/warp_size]; + __dpct_align__(16) float KQ_k[cpw]; + + constexpr int cpy_ne_D = cpy_ne < DVp/warp_size ? cpy_ne : DVp/warp_size; +#pragma unroll + for (int i0 = 0; i0 < DVp; i0 += warp_size*cpy_ne_D) { + ggml_sycl_memcpy_1(&V_k[i0/(2*warp_size)], &KV_tmp[(k1 + item_ct1.get_local_id(1) % np)*DV + i0 + item_ct1.get_local_id(2)*cpy_ne_D]); + } +#pragma unroll + for (int jc_VKQ_0 = 0; jc_VKQ_0 < cpw; jc_VKQ_0 += KQ_cs) { + const int jc_KQ = jc_VKQ_0/KQ_cs + (item_ct1.get_local_id(1) / np)*(cpw/KQ_cs); + + ggml_sycl_memcpy_1( + &KQ_k[jc_VKQ_0], KQ + jc_KQ*(nbatch_fa*KQ_cs) + (k0 + k1 + item_ct1.get_local_id(1) % np)*KQ_cs); + } + +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size) { +#pragma unroll + for (int jc_VKQ_0 = 0; jc_VKQ_0 < cpw; ++jc_VKQ_0) { + VKQ[jc_VKQ_0*((DVp/2)/warp_size) + i0/warp_size].x() += V_k[i0/warp_size].x()*KQ_k[jc_VKQ_0]; + VKQ[jc_VKQ_0*((DVp/2)/warp_size) + i0/warp_size].y() += V_k[i0/warp_size].y()*KQ_k[jc_VKQ_0]; + } + } + } +#endif // SYCL_FAST_FP16 + item_ct1.barrier(); + } +} + +template // D == head size +/* +The total declared local variable size in device function flash_attn_tile exceeds 128 bytes and may cause high register pressure. Consult with your hardware vendor to find the total register size available and adjust the code, or use smaller sub-group size to avoid high register pressure. +*/ +static void flash_attn_tile(const char * Q, + const char * K, + const char * V, + const char * mask, + const char * sinks, + const int * KV_max, + float * dst, + sycl::float2 * dst_meta, + const float scale, + const float max_bias, + const float m0, + const float m1, + const uint32_t n_head_log2, + const float logit_softcap, + const int32_t ne00, + const sycl::uint3 ne01, + const int32_t ne02, + const int32_t ne03, + const int32_t nb01, + const int32_t nb02, + const int32_t nb03, + const int32_t ne10, + const int32_t ne11, + const int32_t ne12, + const int32_t ne13, + const int32_t nb11, + const int32_t nb12, + const int64_t nb13, + const int32_t nb21, + const int32_t nb22, + const int64_t nb23, + const int32_t ne31, + const int32_t ne32, + const int32_t ne33, + const int32_t nb31, + const int32_t nb32, + const int64_t nb33) { +#ifdef SYCL_FLASH_ATTN + // Skip unused kernel variants for faster compilation: + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + if ((use_logit_softcap && !(DV == 128 || DV == 256))) { + GGML_UNUSED_VARS(Q, K, V, mask, sinks, KV_max, dst, dst_meta, scale, + max_bias, m0, m1, n_head_log2, logit_softcap, + ne00, ne01, ne02, ne03, + nb01, nb02, nb03, + ne10, ne11, ne12, ne13, + nb11, nb12, nb13, + nb21, nb22, nb23, + ne31, ne32, ne33, + nb31, nb32, nb33); + return; + } + + static_assert(ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols1*ncols2) != 0, "kernel config not defined"); + + constexpr int ncols = ncols1*ncols2; + + constexpr int nwarps = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, ncols1*ncols2) / warp_size; + constexpr int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, ncols1*ncols2); + constexpr int nbatch_K = ggml_sycl_fattn_tile_get_nbatch_K (DKQ, DV, ncols1*ncols2); + + // In this kernel Q, K, V are matrices while i, j, k are matrix indices. + + const int col_Q_0 = item_ct1.get_group(2) * ncols1; // Index of the first Q column for this SYCL block to work on. + + const int sequence = item_ct1.get_group(0) / (ne02 / ncols2); + const int head0 = item_ct1.get_group(0) * ncols2 - sequence * ne02; // == item_ct1.get_group(0) % (ne02/ncols2) + const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix. + const float * Q_f = (const float *) (Q + nb03*sequence + nb02* head0); + const sycl::half2 * K_h2 = (const sycl::half2 *) (K + nb13 * sequence + nb12 * (head0 / gqa_ratio)); + const sycl::half2 * V_h2 = + (const sycl::half2 *) (V + nb23 * sequence + nb22 * (head0 / gqa_ratio)); // K and V have same shape + + const sycl::half * maskh = mask ? (const sycl::half *) (mask + nb33 * (sequence % ne33)) : nullptr; + + const int stride_K2 = nb11 / sizeof(sycl::half2); + const int stride_V2 = nb21 / sizeof(sycl::half2); + const int stride_mask = nb31 / sizeof(sycl::half); + + const float slope = ncols2 == 1 ? get_alibi_slope(max_bias, head0, n_head_log2, m0, m1) : 1.0f; + + constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes(); + constexpr int cpy_ne = cpy_nb / 4; + + constexpr int cpw = ncols > nwarps ? ncols/nwarps : 1; // Q columns per warp. + constexpr int np = nwarps > ncols ? nwarps/ncols : 1; // Number of parallel warps per Q column. + + static_assert(cpw == 1 || np == 1, "bad cpw / np"); + static_assert(nbatch_fa % (np*warp_size) == 0, "nbatch_fa % (np*warp_size) != 0"); + + constexpr int DKQp = (DKQ + 2*warp_size - 1) & ~(2*warp_size - 1); // DKQ padded to multiple of 2*warp_size. + constexpr int DVp = (DV + 2*warp_size - 1) & ~(2*warp_size - 1); // DV padded to multiple of 2*warp_size. + + // Q_tmp == SRAM buffer to hold Q data for the entire lifetime of the kernel. + // KV_tmp == SRAM buffer to hold fragments of K/V data while iterating over ne11. + // KV_tmp is padded to avoid memory conflicts for K (cpy_ne) and OOB accesses for V (DVp-DV). + // KQ == SRAM buffer to hold KQ fragments between KQ and VKQ matrix multiplications. + // VKQ == Accumulators in registers for the final VKQ result. + + +#ifdef SYCL_FAST_FP16 + constexpr size_t lsm_size1 = ncols * DKQ/2 ; + constexpr size_t lsm_size2 = nbatch_fa * (nbatch_K/2 + cpy_ne) + DVp-DV ; + constexpr size_t lsm_size3 = ncols * nbatch_fa; + constexpr size_t lsm_size4 = nwarps; + + constexpr size_t local_share_mem_size = lsm_size1 * sizeof(sycl::half2) + + lsm_size2 * sizeof(sycl::half2) + + lsm_size3 * sizeof(sycl::half) + + lsm_size4 * sizeof(float); + + syclex::work_group_static lsm; + + sycl::half2 *Q_tmp = (sycl::half2 *)&lsm; + sycl::half2 *KV_tmp = (sycl::half2*)(Q_tmp +lsm_size1); + sycl::half *KQ = (sycl::half *)(KV_tmp+lsm_size2); + float *KQ_max_new_shared = (float *)(KQ+lsm_size3); + + __dpct_align__(16) sycl::half2 VKQ[cpw * ((DVp / 2) / warp_size)] = { + { 0.0f, 0.0f } + }; +#else + constexpr size_t lsm_size1 = ncols * DKQ ; + constexpr size_t lsm_size2 = nbatch_fa * (nbatch_K + cpy_ne) + DVp-DV; + constexpr size_t lsm_size3 = ncols * nbatch_fa; + constexpr size_t lsm_size4 = nwarps; + + constexpr size_t local_share_mem_size = (lsm_size1 + lsm_size2 +lsm_size3 + lsm_size4) * sizeof(float); + + syclex::work_group_static lsm; + + float *Q_tmp = (float *)&lsm; + float *KV_tmp = Q_tmp +lsm_size1; + float *KQ = KV_tmp+lsm_size2; + float *KQ_max_new_shared = KQ+lsm_size3; + + __dpct_align__(16) sycl::float2 VKQ[cpw * ((DVp/2)/warp_size)] = {{0.0f, 0.0f}}; + + +#endif // SYCL_FAST_FP16 + + float KQ_max[cpw] = {}; + +#pragma unroll + for (int j0 = 0; j0 < ncols; j0 += nwarps) { + KQ_max[j0/nwarps] = -FLT_MAX/2.0f; + } + float KQ_sum[cpw] = {0.0f}; + + // Load Q data, convert to FP16 if fast: +#pragma unroll + for (int jc0 = 0; jc0 < cpw; ++jc0) { + const int jc = jc0 + (item_ct1.get_local_id(1) / np) * cpw; + + const int j = jc / ncols2; + const int c = jc % ncols2; + + constexpr int cpy_ne_D = cpy_ne < DKQp/warp_size ? cpy_ne : DKQp/warp_size; + +#pragma unroll + for (int i0 = 0; i0 < DKQp; i0 += np*warp_size*cpy_ne_D) { + if (i0 + np * warp_size * cpy_ne_D <= DKQ || + i0 + (item_ct1.get_local_id(1) % np) * (warp_size * cpy_ne_D) + item_ct1.get_local_id(2) * cpy_ne_D < + DKQ) { + __dpct_align__(16) float tmp_f[cpy_ne_D] = { 0.0f }; + ggml_sycl_memcpy_1( + tmp_f, &Q_f[c * (nb02 / sizeof(float)) + fastmodulo(col_Q_0 + j, ne01) * (nb01 / sizeof(float)) + + i0 + (item_ct1.get_local_id(1) % np) * (warp_size * cpy_ne_D) + + item_ct1.get_local_id(2) * cpy_ne_D]); + +#pragma unroll + for (int i1 = 0; i1 < cpy_ne_D; ++i1) { + tmp_f[i1] *= scale; + } + +#ifdef SYCL_FAST_FP16 + __dpct_align__(16) sycl::half2 tmp_h2[cpy_ne_D / 2]; +#pragma unroll + for (int i1 = 0; i1 < cpy_ne_D; i1 += 2) { + tmp_h2[i1/2] = make_half2(tmp_f[i1 + 0], tmp_f[i1 + 1]); +#if defined(SYCL_FAST_FP16) && !defined(GGML_SYCL_F16) + // Without the v_dot2_f32_f16 instruction there is a higher risk of numerical overflow in the KQ calculation. + // Therefore, scale down Q values and apply the inverse scale the FP32 KQ values afterwards again. + tmp_h2[i1 / 2] *= sycl::half2(0.25f, 0.25f); +#endif // defined(SYCL_FAST_FP16) && !defined(GGML_SYCL_F16) + } + ggml_sycl_memcpy_1( + &Q_tmp[jc * (DKQ / 2) + i0 / 2 + (item_ct1.get_local_id(1) % np) * (warp_size * cpy_ne_D / 2) + + item_ct1.get_local_id(2) * (cpy_ne_D / 2)], + tmp_h2); +#else + ggml_sycl_memcpy_1( + &Q_tmp[jc* DKQ + i0 + (item_ct1.get_local_id(1) % np)*(warp_size*cpy_ne_D) + item_ct1.get_local_id(2)* cpy_ne_D], + tmp_f); +#endif // SYCL_FAST_FP16 + } + } + } + + item_ct1.barrier(); + + // Main loop over KV cache: + const int k_VKQ_max = KV_max ? KV_max[sequence * item_ct1.get_group_range(2) + item_ct1.get_group(2)] : ne11; + if (ncols2 == 1) { + // Branch with out-of-bounds checks. + int k_VKQ_0 = item_ct1.get_group(1) * nbatch_fa; + while (k_VKQ_0 < k_VKQ_max - nbatch_fa) { + constexpr bool oob_check = false; + flash_attn_tile_iter(Q_tmp, K_h2, V_h2, maskh, ne01, logit_softcap, slope, KQ, KV_tmp, stride_K2, + stride_V2, stride_mask, KQ_max, KQ_sum, VKQ, k_VKQ_0, k_VKQ_max, col_Q_0, + KQ_max_new_shared); + k_VKQ_0 += item_ct1.get_group_range(1) * nbatch_fa; + } + if (k_VKQ_0 < k_VKQ_max) { + constexpr bool oob_check = true; + flash_attn_tile_iter(Q_tmp, K_h2, V_h2, maskh, ne01, logit_softcap, slope, KQ, KV_tmp, stride_K2, + stride_V2, stride_mask, KQ_max, KQ_sum, VKQ, k_VKQ_0, k_VKQ_max, col_Q_0, + KQ_max_new_shared); + } + } else { + // Branch without out-of-bounds checks. + for (int k_VKQ_0 = item_ct1.get_group(1) * nbatch_fa; k_VKQ_0 < k_VKQ_max; + k_VKQ_0 += item_ct1.get_group_range(1) * nbatch_fa) { + + constexpr bool oob_check = false; + flash_attn_tile_iter(Q_tmp, K_h2, V_h2, maskh, ne01, logit_softcap, slope, KQ, KV_tmp, stride_K2, + stride_V2, stride_mask, KQ_max, KQ_sum, VKQ, k_VKQ_0, k_VKQ_max, col_Q_0, + KQ_max_new_shared); + } + } + +#pragma unroll + for (int jc0 = 0; jc0 < cpw; ++jc0) { + KQ_sum[jc0] = warp_reduce_sum(KQ_sum[jc0]); + } + + if constexpr (np > 1) { + static_assert(cpw == 1, "bad cpw"); + static_assert(nbatch_fa*nbatch_K >= nwarps*DVp, "KV_tmp too small"); + +#ifdef SYCL_FAST_FP16 + sycl::half2 * VKQ_combine = (sycl::half2 *) KV_tmp; +#else + float * VKQ_combine = (float *) KV_tmp; +#endif // SYCL_FAST_FP16 + + float * KQ_sum_combine = (float *) Q_tmp; + + if (item_ct1.get_local_id(1) % np != 0) { + +#ifdef SYCL_FAST_FP16 + constexpr int cpy_ne_D = cpy_ne < (DVp/2)/warp_size ? cpy_ne : (DVp/2)/warp_size; +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size*cpy_ne_D) { + ggml_sycl_memcpy_1( + &VKQ_combine[item_ct1.get_local_id(1) * (DVp / 2) + i0 + item_ct1.get_local_id(2) * cpy_ne_D], + &VKQ[i0 / warp_size]); + } +#else + + constexpr int cpy_ne_D = cpy_ne < DVp/warp_size ? cpy_ne : DVp/warp_size; + +#pragma unroll + for (int i0 = 0; i0 < DVp; i0 += warp_size*cpy_ne_D) { + ggml_sycl_memcpy_1( + &VKQ_combine[item_ct1.get_local_id(1)*DVp + i0 + item_ct1.get_local_id(2)*cpy_ne_D], ((const float *) VKQ) + i0/warp_size); + } +#endif // SYCL_FAST_FP16 + + if (item_ct1.get_local_id(2) == 0) { + KQ_sum_combine[item_ct1.get_local_id(1)] = KQ_sum[0]; + } + return; + } + + item_ct1.barrier(); + +#pragma unroll + for (int ip = 1; ip < np; ++ip) { +#ifdef SYCL_FAST_FP16 + constexpr int cpy_ne_D = cpy_ne < (DVp/2)/warp_size ? cpy_ne : (DVp/2)/warp_size; +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size*cpy_ne_D) { + __dpct_align__(16) sycl::half2 tmp[cpy_ne_D]; + ggml_sycl_memcpy_1(tmp, &VKQ_combine[(item_ct1.get_local_id(1) + ip) * (DVp / 2) + i0 + + item_ct1.get_local_id(2) * cpy_ne_D]); +#pragma unroll + for (int i1 = 0; i1 < cpy_ne_D; ++i1) { + VKQ[i0/warp_size + i1] += tmp[i1]; + } + } +#else + constexpr int cpy_ne_D = cpy_ne < DVp/warp_size ? cpy_ne : DVp/warp_size; +#pragma unroll + for (int i0 = 0; i0 < DVp; i0 += warp_size*cpy_ne_D) { + __dpct_align__(16) float tmp[cpy_ne_D]; + ggml_sycl_memcpy_1(tmp, &VKQ_combine[(item_ct1.get_local_id(1) + ip)*DVp + i0 + item_ct1.get_local_id(2)*cpy_ne_D]); +#pragma unroll + for (int i1 = 0; i1 < cpy_ne_D; ++i1) { + ((float *)VKQ)[i0/warp_size + i1] += tmp[i1]; + } + } +#endif // SYCL_FAST_FP16 + + KQ_sum[0] += KQ_sum_combine[item_ct1.get_local_id(1) + ip]; + } + } + + // Attention sink: adjust KQ max and sum only for the first of all parallel blocks: + if (sinks && item_ct1.get_group(1) == 0) { +#pragma unroll + for (int jc0 = 0; jc0 < cpw; ++jc0) { + const int jc = jc0 + (item_ct1.get_local_id(1) / np) * cpw; + const float sink = ((const float *) sinks)[head0 + jc % ncols2]; + + float KQ_max_new_j = sycl::fmax((float) KQ_max[jc0], sink); + const float KQ_max_scale = sycl::native::exp((float) (KQ_max[jc0] - KQ_max_new_j)); + KQ_max[jc0] = KQ_max_new_j; + + const float val = sycl::native::exp((float) (sink - KQ_max[jc0])); + KQ_sum[jc0] = KQ_sum[jc0]*KQ_max_scale + val; + +#ifdef SYCL_FAST_FP16 + const sycl::half2 KQ_max_scale_h2 = sycl::half2(KQ_max_scale, KQ_max_scale); +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size) { + VKQ[jc0*((DVp/2)/warp_size) + i0/warp_size] *= KQ_max_scale_h2; + } +#else +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size) { + VKQ[jc0*((DVp/2)/warp_size) + i0/warp_size].x() *= KQ_max_scale; + VKQ[jc0*((DVp/2)/warp_size) + i0/warp_size].y() *= KQ_max_scale; + } +#endif // SYCL_FAST_FP16 + } + } + + // Write back results: +#pragma unroll + for (int jc0 = 0; jc0 < cpw; ++jc0) { + const int jc = jc0 + (item_ct1.get_local_id(1) / np) * cpw; + + const int j = jc / ncols2; + const int c = jc % ncols2; + + if (ncols1 > 1 && col_Q_0 + j >= int(ne01.z())) { + return; + } + + const float scale = item_ct1.get_group_range(1) == 1 ? 1.0f / KQ_sum[jc0] : 1.0f; + + const int j_dst_unrolled = + ((sequence * int(ne01.z()) + col_Q_0 + j) * ne02 + head0 + c) * item_ct1.get_group_range(1) + + item_ct1.get_group(1); + +#ifdef SYCL_FAST_FP16 + constexpr int cpy_ne_D = cpy_ne/2 < (DVp/2)/warp_size ? cpy_ne/2 : (DVp/2)/warp_size; +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size*cpy_ne_D) { + __dpct_align__(16) sycl::float2 tmp[cpy_ne_D]; +#pragma unroll + for (int i1 = 0; i1 < cpy_ne_D; ++i1) { + tmp[i1] = VKQ[jc0 * ((DVp / 2) / warp_size) + i0 / warp_size + i1] + .template convert(); + tmp[i1].x() *= scale; + tmp[i1].y() *= scale; + } + if (i0 + warp_size * cpy_ne_D <= DV / 2 || i0 + item_ct1.get_local_id(2) * cpy_ne_D < DV / 2) { + ggml_sycl_memcpy_1( + &dst[j_dst_unrolled * DV + 2 * i0 + item_ct1.get_local_id(2) * (2 * cpy_ne_D)], tmp); + } + } +#else + constexpr int cpy_ne_D = cpy_ne < DVp/warp_size ? cpy_ne : DVp/warp_size; +#pragma unroll + for (int i0 = 0; i0 < DVp; i0 += warp_size*cpy_ne_D) { + if (i0 + warp_size*cpy_ne_D <= DV || i0 + item_ct1.get_local_id(2)*cpy_ne_D < DV) { +#pragma unroll + for (int i1 = 0; i1 < cpy_ne_D/2; ++i1) { + VKQ[jc0*((DVp/2)/warp_size) + i0/(2*warp_size) + i1].x() *= scale; + VKQ[jc0*((DVp/2)/warp_size) + i0/(2*warp_size) + i1].y() *= scale; + } + ggml_sycl_memcpy_1( + &dst[j_dst_unrolled*DV + i0 + item_ct1.get_local_id(2)*cpy_ne_D], + &VKQ[jc0*((DVp/2)/warp_size) + i0/(2*warp_size)]); + } + } +#endif // SYCL_FAST_FP16 + + if (item_ct1.get_group_range(1) != 1 && item_ct1.get_local_id(2) == 0) { + dst_meta[j_dst_unrolled] = make_float2(KQ_max[jc0], KQ_sum[jc0]); + } + } +#else + GGML_UNUSED_VARS(Q, K, V, mask, sinks, KV_max, dst, dst_meta, scale, + max_bias, m0, m1, n_head_log2, logit_softcap, + ne00, ne01, ne02, ne03, + nb01, nb02, nb03, + ne10, ne11, ne12, ne13, + nb11, nb12, nb13, + nb21, nb22, nb23, + ne31, ne32, ne33, + nb31, nb32, nb33); +#endif // SYCL_FLASH_ATTN +} + +template +static void launch_fattn_tile_switch_ncols1(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + const ggml_tensor * Q = dst->src[0]; + + const int id = ggml_sycl_get_device(); + const int cc = ggml_sycl_info().devices[id].cc; + const int warp_size = WARP_32_SIZE; //can't support WARP_16_SIZE + + constexpr size_t nbytes_shared = 0; + + if constexpr (DV <= 256) { + if (Q->ne[1] > 16/ncols2) { + constexpr int cols_per_block = 32; + const int nwarps = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size; + const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc); + launch_fattn, warp_size> + (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false); + return; + } + } + + if (Q->ne[1] > 8/ncols2) { + constexpr int cols_per_block = 16; + const int nwarps = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size; + const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc); + launch_fattn, warp_size> + (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false); + return; + } + + if constexpr (ncols2 <= 8) { + if (Q->ne[1] > 4/ncols2) { + constexpr int cols_per_block = 8; + const int nwarps = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size; + const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc); + launch_fattn, warp_size> + (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false); + return; + } + } + + if constexpr (ncols2 <= 4) { + if (Q->ne[1] > 2/ncols2) { + constexpr int cols_per_block = 4; + const int nwarps = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size; + const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc); + launch_fattn, warp_size> + (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false); + return; + } + } + + if constexpr (ncols2 <= 2) { + constexpr int cols_per_block = 2; + const int nwarps = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size; + const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc); + launch_fattn, warp_size> + (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false); + return; + } + + GGML_ABORT("fatal error"); +} + +template +static void launch_fattn_tile_switch_ncols2(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + const ggml_tensor * KQV = dst; + const ggml_tensor * Q = dst->src[0]; + const ggml_tensor * K = dst->src[1]; + const ggml_tensor * mask = dst->src[3]; + + float max_bias = 0.0f; + memcpy(&max_bias, (const float *) KQV->op_params + 1, sizeof(float)); + + GGML_ASSERT(Q->ne[2] % K->ne[2] == 0); + const int gqa_ratio = Q->ne[2] / K->ne[2]; + + // On NVIDIA (Pascal and older) the GQA optimizations seem to be detrimental in some cases. + // However, for DKQ == 576, DV == 512 only the kernel variant with GQA optimizations is implemented. + //const bool nvidia = GGML_SYCL_CC_IS_NVIDIA(ggml_sycl_info().devices[ggml_sycl_get_device()].cc); + const int gqa_limit = gqa_ratio <= 4 && DV <= 256 ? 16 : INT_MAX; + const bool use_gqa_opt = mask && max_bias == 0.0f && Q->ne[1] <= gqa_limit && K->ne[1] % FATTN_KQ_STRIDE == 0; + + if constexpr (DV == 512) { + if (use_gqa_opt && gqa_ratio % 16 == 0) { + launch_fattn_tile_switch_ncols1(ctx, dst); + return; + } + if (use_gqa_opt && gqa_ratio % 4 == 0) { + launch_fattn_tile_switch_ncols1(ctx, dst); + return; + } + } + + if constexpr (DV <= 256) { + if (use_gqa_opt && gqa_ratio % 8 == 0) { + launch_fattn_tile_switch_ncols1(ctx, dst); + return; + } + + if (use_gqa_opt && gqa_ratio % 4 == 0) { + launch_fattn_tile_switch_ncols1(ctx, dst); + return; + } + + if (use_gqa_opt && gqa_ratio % 2 == 0) { + launch_fattn_tile_switch_ncols1(ctx, dst); + return; + } + + launch_fattn_tile_switch_ncols1(ctx, dst); + return; + } + GGML_ABORT("fatal error"); +} + +template +void ggml_sycl_flash_attn_ext_tile_case(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + const ggml_tensor * KQV = dst; + + float logit_softcap; + memcpy(&logit_softcap, (const float *) KQV->op_params + 2, sizeof(float)); + + if (logit_softcap == 0.0f) { + constexpr bool use_logit_softcap = false; + launch_fattn_tile_switch_ncols2(ctx, dst); + } else { + constexpr bool use_logit_softcap = true; + launch_fattn_tile_switch_ncols2(ctx, dst); + } +} + +void ggml_sycl_flash_attn_ext_tile(ggml_backend_sycl_context & ctx, ggml_tensor * dst); + +#define DECL_FATTN_TILE_CASE(DKQ, DV) \ + template void ggml_sycl_flash_attn_ext_tile_case \ + (ggml_backend_sycl_context & ctx, ggml_tensor * dst) \ + +extern DECL_FATTN_TILE_CASE( 40, 40); +extern DECL_FATTN_TILE_CASE( 64, 64); +extern DECL_FATTN_TILE_CASE( 72, 72); +extern DECL_FATTN_TILE_CASE( 80, 80); +extern DECL_FATTN_TILE_CASE( 96, 96); +extern DECL_FATTN_TILE_CASE(112, 112); +extern DECL_FATTN_TILE_CASE(128, 128); +extern DECL_FATTN_TILE_CASE(256, 256); +extern DECL_FATTN_TILE_CASE(576, 512); + diff --git a/ggml/src/ggml-sycl/fattn-vec.hpp b/ggml/src/ggml-sycl/fattn-vec.hpp new file mode 100644 index 0000000000..48c389052f --- /dev/null +++ b/ggml/src/ggml-sycl/fattn-vec.hpp @@ -0,0 +1,667 @@ +#ifndef GGML_SYCL_FATTN_VEC_HPP +#define GGML_SYCL_FATTN_VEC_HPP + +#include +#include +#include +#include + +#include "dpct/helper.hpp" +#include "common.hpp" +#include "ggml.h" +#include "fattn-common.hpp" +#include +#include + +namespace syclex = sycl::ext::oneapi::experimental; + +static int ggml_sycl_fattn_vec_get_nthreads_host(const int cc) { + return 128; + GGML_UNUSED(cc); +} + +static constexpr int ggml_sycl_fattn_vec_get_nthreads_device() { + return 128; +} + +// Currenlty llvm with the amdgcn target dose not support unrolling loops +// that contain a break that can not be resolved at compile time. +#ifdef __clang__ +#pragma clang diagnostic push +#pragma clang diagnostic ignored "-Wpass-failed" +#endif // __clang__ + +template // D == head size +static void flash_attn_ext_vec(const char* __restrict__ Q, + const char* __restrict__ K, + const char* __restrict__ V, + const char* __restrict__ mask, + const char* __restrict__ sinks, + const int* __restrict__ KV_max, + float* __restrict__ dst, + sycl::float2* __restrict__ dst_meta, + const float scale, + const float max_bias, + const float m0, + const float m1, + const uint32_t n_head_log2, + const float logit_softcap, + const int32_t ne00, + const sycl::uint3 ne01, + const int32_t ne02, + const int32_t ne03, + const int32_t nb01, + const int32_t nb02, + const int32_t nb03, + const int32_t ne10, + const int32_t ne11, + const int32_t ne12, + const int32_t ne13, + const int32_t nb11, + const int32_t nb12, + const int64_t nb13, + const int32_t nb21, + const int32_t nb22, + const int64_t nb23, + const int32_t ne31, + const int32_t ne32, + const int32_t ne33, + const int32_t nb31, + const int32_t nb32, + const int64_t nb33) { +#ifdef SYCL_FLASH_ATTN + // Skip unused kernel variants for faster compilation: + + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + if (use_logit_softcap && !(D == 128 || D == 256)) { + GGML_UNUSED_VARS(Q, K, V, mask, sinks, KV_max, dst, dst_meta, scale, + max_bias, m0, m1, n_head_log2, logit_softcap, + ne00, ne01, ne02, ne03, + nb01, nb02, nb03, + ne10, ne11, ne12, ne13, + nb11, nb12, nb13, + nb21, nb22, nb23, + ne31, ne32, ne33, + nb31, nb32, nb33); + return; + } + + //In this kernel Q, K, V are matrices while i, j, k are matrix indices. + + constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes(); + constexpr int cpy_ne = cpy_nb / 4; + + constexpr int nthreads_KQ_q = (D/4 < warp_size ? D/4 : warp_size); + constexpr int nthreads_V_q = (D/4 < warp_size ? D/4 : warp_size); + + constexpr int nthreads = ggml_sycl_fattn_vec_get_nthreads_device(); + constexpr int nthreads_KQ = type_K == GGML_TYPE_F16 ? 128 / cpy_nb : nthreads_KQ_q; + constexpr int nthreads_V = type_V == GGML_TYPE_F16 ? 128 / cpy_nb : nthreads_V_q; + + static_assert(warp_size % nthreads_KQ == 0, "bad nthreads_K"); + static_assert(warp_size % nthreads_V == 0, "bad nthreads_V"); + + constexpr int V_rows_per_thread = type_V == GGML_TYPE_F16 ? 2*cpy_ne : 4; + constexpr int V_cols_per_iter = warp_size / nthreads_V; + + constexpr vec_dot_KQ_t vec_dot_KQ = get_vec_dot_KQ(); + constexpr bool Q_q8_1 = type_K != GGML_TYPE_F16; +#ifdef GGML_SYCL_F16 + constexpr dequantize_V_t dequantize_V = get_dequantize_V(); +#else + constexpr dequantize_V_t dequantize_V = get_dequantize_V(); +#endif // GGML_SYCL_F16 + + const int ic0 = item_ct1.get_group(2) * ncols; // Index of the Q/QKV column to work on. + + const int sequence = item_ct1.get_group(0) / ne02; + const int head = item_ct1.get_group(0) - sequence * ne02; + const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix. + Q += nb03*sequence + nb02* head + nb01*ic0; + K += nb13*sequence + nb12*(head / gqa_ratio); + V += nb23*sequence + nb22*(head / gqa_ratio); + + const sycl::half * maskh = (const sycl::half *) (mask + nb33 * (sequence % ne33) + nb31 * ic0); + + const float slope = get_alibi_slope(max_bias, head, n_head_log2, m0, m1); + + static_assert(D % (2*warp_size) == 0, "D not divisible by 2*warp_size == 64."); + constexpr int nwarps = nthreads / warp_size; + const int tid = warp_size * item_ct1.get_local_id(1) + item_ct1.get_local_id(2); + __builtin_assume(tid < nthreads); + + constexpr int ne_KQ = ncols*D; + constexpr int ne_combine = nwarps*V_cols_per_iter*D; + + constexpr size_t lsm_size1 = ncols * warp_size; + constexpr size_t lsm_size2 = ncols * warp_size; +#ifdef GGML_SYCL_F16 + sycl::half2 VKQ[ncols][(D / 2) / nthreads_V] = { { { 0.0f, 0.0f } } }; + constexpr size_t lsm_size3 = (ne_KQ > ne_combine ? ne_KQ : ne_combine); + constexpr size_t local_share_mem_size = (lsm_size1 + lsm_size2)*sizeof(float) + lsm_size3*sizeof(sycl::half); + + syclex::work_group_static lsm; + + float *KQ_max_shared = (float *)&lsm; + float *KQ_sum_shared = KQ_max_shared+lsm_size1; + sycl::half* KQ = (sycl::half*)(KQ_sum_shared + lsm_size2); + + +#else + sycl::float2 VKQ[ncols][(D/2)/nthreads_V] = {{{0.0f, 0.0f}}}; + + constexpr size_t lsm_size3 = (ne_KQ > ne_combine ? ne_KQ : ne_combine); + constexpr size_t local_share_mem_size = (lsm_size1 + lsm_size2 + lsm_size3)*sizeof(float); + + + syclex::work_group_static lsm; + float *KQ_max_shared = (float *)&lsm; + float *KQ_sum_shared = KQ_max_shared+lsm_size1; + float* KQ = KQ_sum_shared + lsm_size2; + +#endif // GGML_SYCL_F16 + + float KQ_max[ncols]; + float KQ_sum[ncols]; +#pragma unroll + for (int j = 0; j < ncols; ++j) { + KQ_max[j] = -FLT_MAX/2.0f; + KQ_sum[j] = 0.0f; + } + + // Convert Q to float2 (f16 K) or q8_1 (quantized K) and store in registers: +#ifdef GGML_SYCL_F16 + sycl::half2 Q_reg[ncols][(D / 2) / nthreads_KQ] = {{{0.0f, 0.0f}}}; // Will be initialized completely. +#else + sycl::float2 Q_reg[ncols][(D/2)/nthreads_KQ] = {{{0.0f, 0.0f}}}; // May be only partially initialized. +#endif // GGML_SYCL_F16 + int Q_i32[ncols][1 > D/(sizeof(int)*nthreads_KQ) ? 1 : D/(sizeof(int)*nthreads_KQ)]; + sycl::float2 Q_ds[ncols][1 > D / (sizeof(int) * nthreads_KQ) ? 1 : D / (sizeof(int) * nthreads_KQ)]; + if constexpr (Q_q8_1) { +#pragma unroll + for (int j0 = 0; j0 < ncols; j0 += nwarps) { + const int j = j0 + item_ct1.get_local_id(1); + + if (j0 + nwarps > ncols && j >= ncols) { + break; + } + + // Reuse KQ as temporary storage for converting Q to q8_1: + int * tmp_q_i32 = (int *) &KQ[j*D]; + sycl::float2 * tmp_q_ds = (sycl::float2 *) (tmp_q_i32 + D / sizeof(int)); + + // Set memory to zero if out of bounds: + if (ncols > 1 && ic0 + j >= int(ne01.z())) { +#pragma unroll + for (int i0 = 0; i0 < int(D/sizeof(int)); i0 += warp_size) { + const int i = i0 + item_ct1.get_local_id(2); + + if (i0 + warp_size <= int(D/sizeof(int)) || i < int(D/sizeof(int))) { + tmp_q_i32[i] = 0; + } + } + if (item_ct1.get_local_id(2) < D/QK8_1) { + tmp_q_ds[item_ct1.get_local_id(2)] = sycl::float2(0.0f, 0.0f); + } + } else { + const float * Q_f = (const float *) (Q + j*nb01); + constexpr int nthreads_quantize = D/sizeof(int) < warp_size ? D/sizeof(int) : warp_size; +#pragma unroll + for (int i0 = 0; i0 < int(D/sizeof(int)); i0 += nthreads_quantize) { + quantize_q8_1_to_shared + (Q_f + i0*sizeof(int), scale, tmp_q_i32 + i0, tmp_q_ds + i0/QI8_1); + } + } + } + + + item_ct1.barrier(sycl::access::fence_space::local_space); + +#pragma unroll + for (int j = 0; j < ncols; ++j) { + int * tmp_q_i32 = (int *) &KQ[j*D]; + sycl::float2 * tmp_q_ds = (sycl::float2 *) (tmp_q_i32 + D / sizeof(int)); + +#pragma unroll + for (int i0 = 0; i0 < int(D/sizeof(int)); i0 += nthreads_KQ) { + const int i = + i0 + (nthreads_KQ == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads_KQ); + + Q_i32[j][i0/nthreads_KQ] = tmp_q_i32[i]; + Q_ds[j][i0/nthreads_KQ] = tmp_q_ds[i/QI8_1]; + } + } + + item_ct1.barrier(sycl::access::fence_space::local_space); + + } else { +#ifdef GGML_SYCL_F16 + const sycl::half2 scale_h2 = sycl::half2(scale, scale); +#pragma unroll + for (int j = 0; j < ncols; ++j) { + const sycl::float2 * Q_j = (const sycl::float2 *) (Q + j * nb01); +#pragma unroll + for (int i0 = 0; i0 < D/2; i0 += nthreads_KQ*cpy_ne) { + const int i = i0 + (nthreads_KQ == warp_size ? item_ct1.get_local_id(2) : + item_ct1.get_local_id(2) % nthreads_KQ) * + cpy_ne; + + sycl::float2 tmp[cpy_ne] = { + { 0.0f, 0.0f } + }; + if (ncols == 1 || ic0 + j < int(ne01.z())) { + ggml_sycl_memcpy_1(tmp, &Q_j[i]); + ggml_sycl_memcpy_1(tmp + cpy_ne/2, &Q_j[i + cpy_ne/2]); + } +#pragma unroll + for (int i1 = 0; i1 < cpy_ne; ++i1) { + Q_reg[j][i0 / nthreads_KQ + i1] = sycl::half2(tmp[i1].x(), tmp[i1].y()); + } + } +#pragma unroll + for (int k = 0; k < (D/2)/nthreads_KQ; ++k) { + Q_reg[j][k] *= scale_h2; + } + } +#else +#pragma unroll + for (int j = 0; j < ncols; ++j) { + const sycl::float2 * Q_j = (const sycl::float2 *) (Q + j*nb01); +#pragma unroll + for (int i0 = 0; i0 < D/2; i0 += nthreads_KQ*cpy_ne) { + const int i = i0 + (nthreads_KQ == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads_KQ)*cpy_ne; + if (ncols == 1 || ic0 + j < int(ne01.z())) { + ggml_sycl_memcpy_1(&Q_reg[j][i0/nthreads_KQ], &Q_j[i]); + ggml_sycl_memcpy_1(&Q_reg[j][i0/nthreads_KQ + cpy_ne/2], &Q_j[i + cpy_ne/2]); + } + } +#pragma unroll + for (int k = 0; k < (D/2)/nthreads_KQ; ++k) { + Q_reg[j][k].x() *= scale; + Q_reg[j][k].y() *= scale; + } + } +#endif // GGML_SYCL_F16 + } + + const int k_VKQ_max = KV_max ? KV_max[sequence * item_ct1.get_group_range(2) + item_ct1.get_group(2)] : ne11; + K += item_ct1.get_group(1) * nthreads * nb11; + V += item_ct1.get_group(1) * nthreads * nb21; + maskh += item_ct1.get_group(1) * nthreads; + for (int k_VKQ_0 = item_ct1.get_group(1) * nthreads; k_VKQ_0 < k_VKQ_max; + k_VKQ_0 += item_ct1.get_group_range(1) * nthreads, + // Increment pointers after each loop: + K += item_ct1.get_group_range(1) * nthreads * nb11, V += item_ct1.get_group_range(1) * nthreads * nb21, + maskh += item_ct1.get_group_range(1) * nthreads) { + // Calculate KQ tile and keep track of new maximum KQ values: + float KQ_reg[ncols]={}; // KQ in registers. + float KQ_max_new[ncols]={}; + + +#pragma unroll + for (int j = 0; j < ncols; ++j) { + KQ_max_new[j] = KQ_max[j]; + } + +#pragma unroll + for (int i_KQ_0 = 0; i_KQ_0 < nthreads_KQ; ++i_KQ_0) { + const int i_KQ = item_ct1.get_local_id(1) * warp_size + + (nthreads_KQ == warp_size ? 0 : (item_ct1.get_local_id(2) & ~(nthreads_KQ - 1))) + i_KQ_0; + +#pragma unroll + for (int j = 0; j < ncols; ++j) { + float sum = vec_dot_KQ(K + i_KQ*nb11, Q_reg[j], Q_i32[j], Q_ds[j]); + sum = warp_reduce_sum(sum); + + if (use_logit_softcap) { + sum = logit_softcap * sycl::tanh(sum); + } + if (mask) { + sum += slope * sycl::vec(maskh[j * ne11 + i_KQ]) + .convert()[0]; + } + + KQ_max_new[j] = sycl::fmax((float) KQ_max_new[j], sum); + + if (int(nthreads_KQ == warp_size ? item_ct1.get_local_id(2) + : item_ct1.get_local_id(2) % + nthreads_KQ) == i_KQ_0) { + KQ_reg[j] = sum; + } + } + } + +#pragma unroll + for (int j = 0; j < ncols; ++j) { +#pragma unroll + for (int offset = nthreads_KQ; offset < warp_size; offset <<= 1) { + KQ_max_new[j] = sycl::fmax( + (float)KQ_max_new[j], + (float)dpct::permute_sub_group_by_xor( + sycl::ext::oneapi::this_work_item::get_sub_group(), + KQ_max_new[j], + offset, + warp_size)); + } + const float KQ_max_scale = sycl::native::exp((float) (KQ_max[j] - KQ_max_new[j])); + KQ_max[j] = KQ_max_new[j]; + + KQ_reg[j] = sycl::native::exp((float) (KQ_reg[j] - KQ_max[j])); + KQ_sum[j] = KQ_sum[j]*KQ_max_scale + KQ_reg[j]; + KQ[j*nthreads + tid] = KQ_reg[j]; + +#ifdef GGML_SYCL_F16 + const sycl::half2 KQ_max_scale_h2 = sycl::half2(KQ_max_scale, KQ_max_scale); +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V) { + VKQ[j][i_VKQ_0/nthreads_V] *= KQ_max_scale_h2; + } +#else +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V) { + VKQ[j][i_VKQ_0/nthreads_V].x() *= KQ_max_scale; + VKQ[j][i_VKQ_0/nthreads_V].y() *= KQ_max_scale; + } +#endif // GGML_SYCL_F16 + } + + sycl::group_barrier(sycl::ext::oneapi::this_work_item::get_sub_group()); + +#pragma unroll + for (int k0 = 0; k0 < warp_size; k0 += V_cols_per_iter) { + const int k = item_ct1.get_local_id(1) * warp_size + k0 + + (nthreads_V == warp_size ? 0 : item_ct1.get_local_id(2) / nthreads_V); + +#ifdef GGML_SYCL_F16 + sycl::half2 KQ_k[ncols]; +#pragma unroll + for (int j = 0; j < ncols; ++j) { + KQ_k[j] = sycl::half2(KQ[j * nthreads + k]); + } +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V*V_rows_per_thread/2) { + sycl::half2 tmp[V_rows_per_thread / 2]; + dequantize_V(V + k * nb21, tmp, + 2 * i_VKQ_0 + (nthreads_V == warp_size ? item_ct1.get_local_id(2) : + item_ct1.get_local_id(2) % nthreads_V) * + V_rows_per_thread); +#pragma unroll + for (int i_VKQ_1 = 0; i_VKQ_1 < V_rows_per_thread/2; ++i_VKQ_1) { +#pragma unroll + for (int j = 0; j < ncols; ++j) { + VKQ[j][i_VKQ_0/nthreads_V + i_VKQ_1] += tmp[i_VKQ_1]*KQ_k[j]; + } + } + } +#else + float KQ_k[ncols]; +#pragma unroll + for (int j = 0; j < ncols; ++j) { + KQ_k[j] = KQ[j*nthreads + k]; + } +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V*V_rows_per_thread/2) { + sycl::float2 tmp[V_rows_per_thread/2]; + dequantize_V(V + k*nb21, tmp, + 2*i_VKQ_0 + (nthreads_V == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads_V)*V_rows_per_thread); +#pragma unroll + for (int i_VKQ_1 = 0; i_VKQ_1 < V_rows_per_thread/2; ++i_VKQ_1) { +#pragma unroll + for (int j = 0; j < ncols; ++j) { + VKQ[j][i_VKQ_0/nthreads_V + i_VKQ_1].x() += tmp[i_VKQ_1].x()*KQ_k[j]; + VKQ[j][i_VKQ_0/nthreads_V + i_VKQ_1].y() += tmp[i_VKQ_1].y()*KQ_k[j]; + } + } + } +#endif // GGML_SYCL_F16 + } + } + + if (sinks && item_ct1.get_group(1) == 0) { + const float sink = ((const float *) sinks)[head]; + +#pragma unroll + for (int j0 = 0; j0 < ncols; j0 += nwarps) { + const int j = j0 + item_ct1.get_local_id(1); + + if (j0 + nwarps > ncols && j >= ncols) { + break; + } + const float kqmax_new_j = sycl::fmax(sink, (float) KQ_max[j]); + const float KQ_max_scale = sycl::native::exp((float) (KQ_max[j] - kqmax_new_j)); + KQ_max[j] = kqmax_new_j; + + KQ_sum[j] = KQ_sum[j] * KQ_max_scale + + (item_ct1.get_local_id(2) == 0 ? sycl::native::exp((float) (sink - KQ_max[j])) : 0.0f); +#ifdef GGML_SYCL_F16 + const sycl::half2 KQ_max_scale_h2 = sycl::half2(KQ_max_scale, KQ_max_scale); +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V) { + VKQ[j][i_VKQ_0/nthreads_V] *= KQ_max_scale_h2; + } +#else +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V) { + VKQ[j][i_VKQ_0/nthreads_V].x() *= KQ_max_scale; + VKQ[j][i_VKQ_0/nthreads_V].y() *= KQ_max_scale; + } +#endif // GGML_SYCL_F16 + } + } + +#pragma unroll + for (int j = 0; j < ncols; ++j) { + if (item_ct1.get_local_id(1) == 0) { + KQ_max_shared[j*warp_size+item_ct1.get_local_id(2)] = -FLT_MAX / 2.0f; + KQ_sum_shared[j*warp_size+item_ct1.get_local_id(2)] = 0.0f; + } + } + + item_ct1.barrier(sycl::access::fence_space::local_space); + +#pragma unroll + for (int j = 0; j < ncols; ++j) { + if (item_ct1.get_local_id(2) == 0) { + KQ_max_shared[j*warp_size+item_ct1.get_local_id(1)] = KQ_max[j]; + } + } + + + item_ct1.barrier(sycl::access::fence_space::local_space); + +#pragma unroll + for (int j_VKQ = 0; j_VKQ < ncols; ++j_VKQ) { + if (ncols > 1 && ic0 + j_VKQ >= int(ne01.z())) { + break; + } + + float kqmax_new = KQ_max_shared[j_VKQ*warp_size+item_ct1.get_local_id(2)]; + kqmax_new = warp_reduce_max(kqmax_new); + const float kqmax_scale = sycl::native::exp((float) (KQ_max[j_VKQ] - kqmax_new)); + KQ_max[j_VKQ] = kqmax_new; + +#ifdef GGML_SYCL_F16 + sycl::half2 * VKQ_tmp = (sycl::half2 *) KQ + item_ct1.get_local_id(1) * (V_cols_per_iter * D / 2) + + (nthreads_V == warp_size ? 0 : item_ct1.get_local_id(2) / nthreads_V) * (D / 2); + + const sycl::half2 kqmax_scale_h2 = sycl::half2(kqmax_scale, kqmax_scale); +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V) { + VKQ[j_VKQ][i_VKQ_0/nthreads_V] *= kqmax_scale_h2; + } +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V*V_rows_per_thread/2) { + const int i_VKQ = + i_VKQ_0 + (nthreads_V == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads_V) * + (V_rows_per_thread / 2); + + ggml_sycl_memcpy_1(VKQ_tmp + i_VKQ, + &VKQ[j_VKQ][i_VKQ_0 / nthreads_V]); + } +#else + sycl::float2 * VKQ_tmp = (sycl::float2 *) KQ + item_ct1.get_local_id(1)*(V_cols_per_iter*D/2) + + (nthreads_V == warp_size ? 0 : item_ct1.get_local_id(2) / nthreads_V)*(D/2); +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V) { + VKQ[j_VKQ][i_VKQ_0/nthreads_V].x() *= kqmax_scale; + VKQ[j_VKQ][i_VKQ_0/nthreads_V].y() *= kqmax_scale; + } +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V*V_rows_per_thread/2) { + const int i_VKQ = i_VKQ_0 + (nthreads_V == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads_V)*(V_rows_per_thread/2); + + ggml_sycl_memcpy_1(VKQ_tmp + i_VKQ, &VKQ[j_VKQ][i_VKQ_0/nthreads_V]); + ggml_sycl_memcpy_1(VKQ_tmp + i_VKQ + V_rows_per_thread/4, &VKQ[j_VKQ][i_VKQ_0/nthreads_V + V_rows_per_thread/4]); + } +#endif // GGML_SYCL_F16 + + KQ_sum[j_VKQ] *= kqmax_scale; + KQ_sum[j_VKQ] = warp_reduce_sum(KQ_sum[j_VKQ]); + if (item_ct1.get_local_id(2) == 0) { + KQ_sum_shared[j_VKQ*warp_size+item_ct1.get_local_id(1)] = KQ_sum[j_VKQ]; + } + + item_ct1.barrier(sycl::access::fence_space::local_space); + + + if (nthreads <= D || tid < D) { + KQ_sum[j_VKQ] = KQ_sum_shared[j_VKQ*warp_size+item_ct1.get_local_id(2)]; + KQ_sum[j_VKQ] = warp_reduce_sum(KQ_sum[j_VKQ]); + +#pragma unroll + for (int i0 = 0; i0 < D; i0 += nthreads) { + float dst_val = 0; +#pragma unroll + for (int w = 0; w < nwarps; ++w) { +#pragma unroll + for (int v = 0; v < V_cols_per_iter; ++v) { + dst_val += float(KQ[w*V_cols_per_iter*D + v*D + i0 + tid]); + } + } + if (item_ct1.get_group_range(1) == 1) { + dst_val /= KQ_sum[j_VKQ]; + } + dst[(((sequence * int(ne01.z()) + ic0 + j_VKQ) * ne02 + head) * item_ct1.get_group_range(1) + + item_ct1.get_group(1)) * + D + + i0 + tid] = dst_val; + } + } + + if (j_VKQ < ncols-1) { + item_ct1.barrier(sycl::access::fence_space::local_space); + } + + } + + if (item_ct1.get_group_range(1) != 1 && tid < ncols && (ncols == 1 || ic0 + tid < int(ne01.z()))) { + dst_meta[((sequence * int(ne01.z()) + ic0 + tid) * ne02 + head) * item_ct1.get_group_range(1) + + item_ct1.get_group(1)] = make_float2(KQ_max[tid], KQ_sum[tid]); + } +#else + GGML_UNUSED_VARS(Q, K, V, mask, sinks, KV_max, dst, dst_meta, scale, + max_bias, m0, m1, n_head_log2, logit_softcap, + ne00, ne01, ne02, ne03, + nb01, nb02, nb03, + ne10, ne11, ne12, ne13, + nb11, nb12, nb13, + nb21, nb22, nb23, + ne31, ne32, ne33, + nb31, nb32, nb33); + +#endif // SYCL_FLASH_ATTN +} +#ifdef __clang__ +#pragma clang diagnostic pop +#endif // __clang__ + + +template +void ggml_sycl_flash_attn_ext_vec_case_impl(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + + const int warp_size = WARP_16_SIZE; //better performance than WARP_32_SIZE + + const int cc = ggml_sycl_info().devices[ggml_sycl_get_device()].cc; + + const int nthreads = ggml_sycl_fattn_vec_get_nthreads_host(cc); + const int nwarps = nthreads / warp_size; + + const bool need_f16_K = type_K == GGML_TYPE_F16; + const bool need_f16_V = type_V == GGML_TYPE_F16; + constexpr size_t nbytes_shared = 0; + + launch_fattn, warp_size>( + ctx, dst, nwarps, nbytes_shared, D, need_f16_K, need_f16_V, false); +} + +template +void ggml_sycl_flash_attn_ext_vec_case(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + const ggml_tensor * KQV = dst; + const ggml_tensor * Q = dst->src[0]; + + float logit_softcap; + memcpy(&logit_softcap, (const float *) KQV->op_params + 2, sizeof(float)); + + if (Q->ne[1] == 1) { + constexpr int cols_per_block = 1; + if (logit_softcap == 0.0f) { + constexpr bool use_logit_softcap = false; + ggml_sycl_flash_attn_ext_vec_case_impl(ctx, dst); + } else { + constexpr bool use_logit_softcap = true; + ggml_sycl_flash_attn_ext_vec_case_impl(ctx, dst); + } + return; + } + + constexpr int cols_per_block = 2; + if (logit_softcap == 0.0f) { + constexpr bool use_logit_softcap = false; + ggml_sycl_flash_attn_ext_vec_case_impl(ctx, dst); + } else { + constexpr bool use_logit_softcap = true; + ggml_sycl_flash_attn_ext_vec_case_impl(ctx, dst); + } +} + +#define DECL_FATTN_VEC_CASE(D, type_K, type_V) \ + template void ggml_sycl_flash_attn_ext_vec_case \ + (ggml_backend_sycl_context & ctx, ggml_tensor * dst) \ + +#define EXTERN_DECL_FATTN_VEC_CASES(D, type_K) \ + extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_F16); \ + extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_Q4_0); \ + extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_Q4_1); \ + extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_Q5_0); \ + extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_Q5_1); \ + extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_Q8_0); \ + +EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_F16) +EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q4_0) +EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q4_1) +EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q5_0) +EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q5_1) +EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q8_0) + +EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_F16) +EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q4_0) +EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q4_1) +EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q5_0) +EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q5_1) +EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q8_0) + +EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_F16) +EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q4_0) +EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q4_1) +EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q5_0) +EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q5_1) +EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q8_0) + +#endif // GGML_SYCL_FATTN_VEC_HPP diff --git a/ggml/src/ggml-sycl/fattn.cpp b/ggml/src/ggml-sycl/fattn.cpp new file mode 100644 index 0000000000..c276ed8982 --- /dev/null +++ b/ggml/src/ggml-sycl/fattn.cpp @@ -0,0 +1,225 @@ +// +// MIT license +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: MIT +// + +// +// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. +// See https://llvm.org/LICENSE.txt for license information. +// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception +// + + +#include +#include "dpct/helper.hpp" +#include "common.hpp" +#include "fattn-common.hpp" +#include "fattn-tile.hpp" +#include "fattn-vec.hpp" +#include "fattn.hpp" + + +#define FATTN_VEC_CASE(D, type_K, type_V) \ + { \ + const bool type_K_okay = K->type == (type_K) || (K->type == GGML_TYPE_F32 && (type_K) == GGML_TYPE_F16); \ + const bool type_V_okay = V->type == (type_V) || (V->type == GGML_TYPE_F32 && (type_V) == GGML_TYPE_F16); \ + if (Q->ne[0] == (D) && type_K_okay && type_V_okay) { \ + ggml_sycl_flash_attn_ext_vec_case(ctx, dst); \ + return; \ + } \ + } \ + +#define FATTN_VEC_CASES_ALL_D(type_K, type_V) \ + FATTN_VEC_CASE( 64, type_K, type_V) \ + FATTN_VEC_CASE(128, type_K, type_V) \ + FATTN_VEC_CASE(256, type_K, type_V) \ + +static void ggml_sycl_flash_attn_ext_vec(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + ggml_tensor * Q = dst->src[0]; + ggml_tensor * K = dst->src[1]; + ggml_tensor * V = dst->src[2]; + +#ifdef GGML_SYCL_FA_ALL_QUANTS + FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16, GGML_TYPE_F16) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_F16) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_1, GGML_TYPE_F16) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_F16) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_F16) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_F16) + + FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16, GGML_TYPE_Q4_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q4_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_1, GGML_TYPE_Q4_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q4_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q4_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q4_0) + + FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16, GGML_TYPE_Q4_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q4_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_1, GGML_TYPE_Q4_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q4_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q4_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q4_1) + + FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16, GGML_TYPE_Q5_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q5_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_1, GGML_TYPE_Q5_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q5_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q5_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q5_0) + + FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16, GGML_TYPE_Q5_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q5_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_1, GGML_TYPE_Q5_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q5_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q5_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q5_1) + + FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16, GGML_TYPE_Q8_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q8_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_1, GGML_TYPE_Q8_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q8_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q8_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q8_0) +#else + FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16, GGML_TYPE_F16) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q4_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q8_0) +#endif // GGML_SYCL_FA_ALL_QUANTS + + GGML_ABORT("Not match KV type in vec"); +} + +// Best FlashAttention kernel for a specific GPU: +enum best_fattn_kernel { + BEST_FATTN_KERNEL_NONE = 0, + BEST_FATTN_KERNEL_VEC = 100, + BEST_FATTN_KERNEL_TILE = 200, +}; + +static best_fattn_kernel ggml_sycl_get_best_fattn_kernel(const int device, const ggml_tensor * dst) { + GGML_UNUSED(device); +#ifndef SYCL_FLASH_ATTN + GGML_UNUSED(dst); + return BEST_FATTN_KERNEL_NONE; +#endif// SYCL_FLASH_ATTN + + if(!g_ggml_sycl_enable_flash_attention) return BEST_FATTN_KERNEL_NONE; + + const ggml_tensor * KQV = dst; + const ggml_tensor * Q = dst->src[0]; + const ggml_tensor * K = dst->src[1]; + const ggml_tensor * V = dst->src[2]; + const ggml_tensor * mask = dst->src[3]; + + const int gqa_ratio = Q->ne[2] / K->ne[2]; + GGML_ASSERT(Q->ne[2] % K->ne[2] == 0); + + float max_bias = 0.0f; + memcpy(&max_bias, (const float *) KQV->op_params + 1, sizeof(float)); + + bool gqa_opt_applies = gqa_ratio >= 2 && mask && max_bias == 0.0f && K->ne[1] % FATTN_KQ_STRIDE == 0; + for (const ggml_tensor * t : {Q, K, V, mask}) { + if (t == nullptr || ggml_is_quantized(t->type)) { + continue; + } + for (size_t i = 1; i < GGML_MAX_DIMS; ++i) { + if (t->nb[i] % 16 != 0) { + gqa_opt_applies = false; + break; + } + } + } + + switch (K->ne[0]) { + case 40: + case 64: + case 72: + case 80: + case 96: + case 128: + case 112: + case 256: + if (V->ne[0] != K->ne[0]) { + return BEST_FATTN_KERNEL_NONE; + } + break; + case 576: + if (V->ne[0] != 512) { + return BEST_FATTN_KERNEL_NONE; + } + if (!gqa_opt_applies) { + return BEST_FATTN_KERNEL_NONE; + } + break; + default: + return BEST_FATTN_KERNEL_NONE; + } + +#ifndef GGML_SYCL_FA_ALL_QUANTS + if (K->type != V->type) { + return BEST_FATTN_KERNEL_NONE; + } +#endif // GGML_SYCL_FA_ALL_QUANTS + + switch (K->type) { + case GGML_TYPE_F32: + case GGML_TYPE_F16: + break; + case GGML_TYPE_Q4_1: + case GGML_TYPE_Q5_0: + case GGML_TYPE_Q5_1: +#ifndef GGML_SYCL_FA_ALL_QUANTS + return BEST_FATTN_KERNEL_NONE; +#endif // GGML_SYCL_FA_ALL_QUANTS + case GGML_TYPE_Q4_0: + case GGML_TYPE_Q8_0: + break; + default: + return BEST_FATTN_KERNEL_NONE; + } + + if (mask && mask->ne[2] != 1) { + return BEST_FATTN_KERNEL_NONE; + } + + // For small batch sizes the vector kernel may be preferable over the kernels optimized for large batch sizes: + const bool can_use_vector_kernel = Q->ne[0] <= 256 && Q->ne[0] % 64 == 0 && K->ne[1] % FATTN_KQ_STRIDE == 0; + + // Todo: Use the XMX kernel if possible: + + // If there are no tensor cores available, use the generic tile kernel: + if (can_use_vector_kernel) { + if (!ggml_is_quantized(K->type) && !ggml_is_quantized(V->type)) { + if (Q->ne[1] == 1) { + if (!gqa_opt_applies) { + return BEST_FATTN_KERNEL_VEC; + } + } + } else { + if (Q->ne[1] <= 2) { + return BEST_FATTN_KERNEL_VEC; + } + } + } + return BEST_FATTN_KERNEL_TILE; +} + +void ggml_sycl_flash_attn_ext(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + ggml_sycl_set_device(ctx.device); + switch (ggml_sycl_get_best_fattn_kernel(ggml_sycl_get_device(), dst)) { + case BEST_FATTN_KERNEL_NONE: + GGML_ABORT("Not support Flash-Attention"); + case BEST_FATTN_KERNEL_TILE: + ggml_sycl_flash_attn_ext_tile(ctx, dst); + break; + case BEST_FATTN_KERNEL_VEC: + ggml_sycl_flash_attn_ext_vec(ctx, dst); + break; + } +} + +bool ggml_sycl_flash_attn_ext_supported(int device, const ggml_tensor * dst) { + return ggml_sycl_get_best_fattn_kernel(device, dst) != BEST_FATTN_KERNEL_NONE; +} diff --git a/ggml/src/ggml-sycl/fattn.hpp b/ggml/src/ggml-sycl/fattn.hpp new file mode 100644 index 0000000000..f2a8ffc97d --- /dev/null +++ b/ggml/src/ggml-sycl/fattn.hpp @@ -0,0 +1,22 @@ +// +// MIT license +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: MIT +// + +// +// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. +// See https://llvm.org/LICENSE.txt for license information. +// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception +// + +#ifndef GGML_SYCL_FATTN_HPP +#define GGML_SYCL_FATTN_HPP + +#include "common.hpp" + +void ggml_sycl_flash_attn_ext(ggml_backend_sycl_context & ctx, ggml_tensor * dst); + +bool ggml_sycl_flash_attn_ext_supported(int device, const ggml_tensor * dst); + +#endif // GGML_SYCL_FATTN_HPP diff --git a/ggml/src/ggml-sycl/gated_delta_net.cpp b/ggml/src/ggml-sycl/gated_delta_net.cpp new file mode 100644 index 0000000000..648455c134 --- /dev/null +++ b/ggml/src/ggml-sycl/gated_delta_net.cpp @@ -0,0 +1,309 @@ +#include +#include "dpct/helper.hpp" +#include "common.hpp" +#include "ggml.h" +#include "gated_delta_net.hpp" +#include + + +template +void gated_delta_net_sycl(const float * q, + const float * k, + const float * v, + const float * g, + const float * beta, + const float * curr_state, + float * dst, + int64_t H, + int64_t n_tokens, + int64_t n_seqs, + int64_t sq1, + int64_t sq2, + int64_t sq3, + int64_t sv1, + int64_t sv2, + int64_t sv3, + int64_t sb1, + int64_t sb2, + int64_t sb3, + const sycl::uint3 neqk1_magic, + const sycl::uint3 rq3_magic, + float scale) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const uint32_t h_idx = item_ct1.get_group(2); + const uint32_t sequence = item_ct1.get_group(1); + // each warp owns one column, using warp-level primitives to reduce across rows + const int lane = item_ct1.get_local_id(2); + const int col = item_ct1.get_group(0) * item_ct1.get_local_range(1) + item_ct1.get_local_id(1); + + const uint32_t iq1 = fastmodulo(h_idx, neqk1_magic); + const uint32_t iq3 = fastdiv(sequence, rq3_magic); + + const int64_t attn_score_elems = S_v * H * n_tokens * n_seqs; + float * attn_data = dst; + float * state = dst + attn_score_elems; + + const int64_t state_offset = (sequence * H + h_idx) * S_v * S_v; + state += state_offset; + curr_state += state_offset; + attn_data += (sequence * n_tokens * H + h_idx) * S_v; + + constexpr int warp_size = ggml_sycl_get_physical_warp_size() < S_v ? ggml_sycl_get_physical_warp_size() : S_v; + static_assert(S_v % warp_size == 0, "S_v must be a multiple of warp_size"); + constexpr int rows_per_lane = (S_v + warp_size - 1) / warp_size; + float s_shard[rows_per_lane]; +#pragma unroll + for (int r = 0; r < rows_per_lane; r++) { + const int i = r * warp_size + lane; + s_shard[r] = curr_state[col * S_v + i]; + } + + for (int t = 0; t < n_tokens; t++) { + const float * q_t = q + iq3 * sq3 + t * sq2 + iq1 * sq1; + const float * k_t = k + iq3 * sq3 + t * sq2 + iq1 * sq1; + const float * v_t = v + sequence * sv3 + t * sv2 + h_idx * sv1; + + const int64_t gb_offset = sequence * sb3 + t * sb2 + h_idx * sb1; + const float * beta_t = beta + gb_offset; + const float * g_t = g + gb_offset * (KDA ? S_v : 1); + + const float beta_val = *beta_t; + + if constexpr (!KDA) { + const float g_val = sycl::native::exp(*g_t); + + // kv[col] = (S^T @ k)[col] = sum_i S[i][col] * k[i] + float kv_shard = 0.0f; +#pragma unroll + for (int r = 0; r < rows_per_lane; r++) { + const int i = r * warp_size + lane; + kv_shard += s_shard[r] * k_t[i]; + } + float kv_col = warp_reduce_sum(kv_shard); + + // delta[col] = (v[col] - g * kv[col]) * beta + float delta_col = (v_t[col] - g_val * kv_col) * beta_val; + + // fused: S[i][col] = g * S[i][col] + k[i] * delta[col] + // attn[col] = (S^T @ q)[col] = sum_i S[i][col] * q[i] + float attn_partial = 0.0f; +#pragma unroll + for (int r = 0; r < rows_per_lane; r++) { + const int i = r * warp_size + lane; + s_shard[r] = g_val * s_shard[r] + k_t[i] * delta_col; + attn_partial += s_shard[r] * q_t[i]; + } + + float attn_col = warp_reduce_sum(attn_partial); + + if (lane == 0) { + attn_data[col] = attn_col * scale; + } + } else { + // kv[col] = sum_i g[i] * S[i][col] * k[i] + float kv_shard = 0.0f; +#pragma unroll + for (int r = 0; r < rows_per_lane; r++) { + const int i = r * warp_size + lane; + kv_shard += sycl::native::exp(g_t[i]) * s_shard[r] * k_t[i]; + } + + float kv_col = warp_reduce_sum(kv_shard); + + // delta[col] = (v[col] - kv[col]) * beta + float delta_col = (v_t[col] - kv_col) * beta_val; + + // fused: S[i][col] = g[i] * S[i][col] + k[i] * delta[col] + // attn[col] = (S^T @ q)[col] = sum_i S[i][col] * q[i] + float attn_partial = 0.0f; +#pragma unroll + for (int r = 0; r < rows_per_lane; r++) { + const int i = r * warp_size + lane; + s_shard[r] = sycl::native::exp(g_t[i]) * s_shard[r] + k_t[i] * delta_col; + attn_partial += s_shard[r] * q_t[i]; + } + + float attn_col = warp_reduce_sum(attn_partial); + + if (lane == 0) { + attn_data[col] = attn_col * scale; + } + } + + attn_data += S_v * H; + } + + // Write state back to global memory +#pragma unroll + for (int r = 0; r < rows_per_lane; r++) { + const int i = r * warp_size + lane; + state[col * S_v + i] = s_shard[r]; + } +} + +template +static void launch_gated_delta_net(const float * q_d, + const float * k_d, + const float * v_d, + const float * g_d, + const float * b_d, + const float * s_d, + float * dst_d, + int64_t S_v, + int64_t H, + int64_t n_tokens, + int64_t n_seqs, + int64_t sq1, + int64_t sq2, + int64_t sq3, + int64_t sv1, + int64_t sv2, + int64_t sv3, + int64_t sb1, + int64_t sb2, + int64_t sb3, + int64_t neqk1, + int64_t rq3, + float scale, + dpct::queue_ptr stream) { + //TODO: Add chunked kernel for even faster pre-fill + const int warp_size = ggml_sycl_info().devices[ggml_sycl_get_device()].warp_size; + + const int num_warps = 4; + dpct::dim3 grid_dims(H, n_seqs, (S_v + num_warps - 1) / num_warps); + dpct::dim3 block_dims(warp_size <= S_v ? warp_size : S_v, num_warps, 1); + + const sycl::uint3 neqk1_magic = init_fastdiv_values(neqk1); + const sycl::uint3 rq3_magic = init_fastdiv_values(rq3); + + int cc = ggml_sycl_info().devices[ggml_sycl_get_device()].cc; + + switch (S_v) { + case 16: + { + constexpr int sv = 16; + stream->parallel_for(sycl::nd_range<3>(grid_dims * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] { + gated_delta_net_sycl(q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, n_tokens, + n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, sb1, sb2, + sb3, neqk1_magic, rq3_magic, scale); + }); + } + break; + case 32: + { + constexpr int sv = 32; + stream->parallel_for(sycl::nd_range<3>(grid_dims * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] { + gated_delta_net_sycl(q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, n_tokens, + n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, sb1, sb2, + sb3, neqk1_magic, rq3_magic, scale); + }); + } + break; + case 64: { + { + constexpr int sv = 64; + stream->parallel_for(sycl::nd_range<3>(grid_dims * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] { + gated_delta_net_sycl( + q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, n_tokens, n_seqs, sq1, sq2, + sq3, sv1, sv2, sv3, sb1, sb2, sb3, neqk1_magic, rq3_magic, scale); + }); + } + break; + } + case 128: { + { + constexpr int sv = 128; + stream->parallel_for(sycl::nd_range<3>(grid_dims * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] { + gated_delta_net_sycl( + q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, n_tokens, n_seqs, sq1, sq2, + sq3, sv1, sv2, sv3, sb1, sb2, sb3, neqk1_magic, rq3_magic, scale); + }); + } + break; + } + default: + GGML_ABORT("fatal error"); + break; + } +} + +void ggml_sycl_op_gated_delta_net(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + ggml_tensor * src_q = dst->src[0]; + ggml_tensor * src_k = dst->src[1]; + ggml_tensor * src_v = dst->src[2]; + ggml_tensor * src_g = dst->src[3]; + ggml_tensor * src_beta = dst->src[4]; + ggml_tensor * src_state = dst->src[5]; + + GGML_TENSOR_LOCALS(int64_t, neq, src_q, ne); + GGML_TENSOR_LOCALS(size_t , nbq, src_q, nb); + GGML_TENSOR_LOCALS(int64_t, nek, src_k, ne); + GGML_TENSOR_LOCALS(size_t , nbk, src_k, nb); + GGML_TENSOR_LOCALS(int64_t, nev, src_v, ne); + GGML_TENSOR_LOCALS(size_t, nbv, src_v, nb); + GGML_TENSOR_LOCALS(size_t, nbb, src_beta, nb); + + const int64_t S_v = nev0; + const int64_t H = nev1; + const int64_t n_tokens = nev2; + const int64_t n_seqs = nev3; + + const bool kda = (src_g->ne[0] == S_v); + + GGML_ASSERT(neq1 == nek1); + const int64_t neqk1 = neq1; + + const int64_t rq3 = nev3 / neq3; + + const float * q_d = (const float *) src_q->data; + const float * k_d = (const float *) src_k->data; + const float * v_d = (const float *) src_v->data; + const float * g_d = (const float *) src_g->data; + const float * b_d = (const float *) src_beta->data; + + const float * s_d = (const float *) src_state->data; + float * dst_d = (float *) dst->data; + + GGML_ASSERT(ggml_is_contiguous_rows(src_q)); + GGML_ASSERT(ggml_is_contiguous_rows(src_k)); + GGML_ASSERT(ggml_is_contiguous_rows(src_v)); + GGML_ASSERT(ggml_are_same_stride(src_q, src_k)); + GGML_ASSERT(src_g->ne[0] == 1 || kda); + GGML_ASSERT(ggml_is_contiguous(src_g)); + GGML_ASSERT(ggml_is_contiguous(src_beta)); + GGML_ASSERT(ggml_is_contiguous(src_state)); + + // strides in floats (beta strides used for both g and beta offset computation) + const int64_t sq1 = nbq1 / sizeof(float); + const int64_t sq2 = nbq2 / sizeof(float); + const int64_t sq3 = nbq3 / sizeof(float); + const int64_t sv1 = nbv1 / sizeof(float); + const int64_t sv2 = nbv2 / sizeof(float); + const int64_t sv3 = nbv3 / sizeof(float); + const int64_t sb1 = nbb1 / sizeof(float); + const int64_t sb2 = nbb2 / sizeof(float); + const int64_t sb3 = nbb3 / sizeof(float); + + const float scale = 1.0f / sqrtf((float) S_v); + + dpct::queue_ptr stream = ctx.stream(); + + if (kda) { + launch_gated_delta_net(q_d, k_d, v_d, g_d, b_d, s_d, dst_d, + S_v, H, n_tokens, n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, + sb1, sb2, sb3, neqk1, rq3, scale, stream); + } else { + launch_gated_delta_net(q_d, k_d, v_d, g_d, b_d, s_d, dst_d, + S_v, H, n_tokens, n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, + sb1, sb2, sb3, neqk1, rq3, scale, stream); + } +} + +void ggml_sycl_gated_delta_net(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/6); + ggml_sycl_op_gated_delta_net(ctx, dst); +} diff --git a/ggml/src/ggml-sycl/gated_delta_net.hpp b/ggml/src/ggml-sycl/gated_delta_net.hpp new file mode 100644 index 0000000000..a3308ee876 --- /dev/null +++ b/ggml/src/ggml-sycl/gated_delta_net.hpp @@ -0,0 +1,8 @@ +#pragma once + +#include +#include "dpct/helper.hpp" +#include "common.hpp" +#include "ggml.h" + +void ggml_sycl_gated_delta_net(ggml_backend_sycl_context & ctx, ggml_tensor * dst); diff --git a/ggml/src/ggml-sycl/ggml-sycl.cpp b/ggml/src/ggml-sycl/ggml-sycl.cpp index 0614d7e8f3..2ec1421841 100644 --- a/ggml/src/ggml-sycl/ggml-sycl.cpp +++ b/ggml/src/ggml-sycl/ggml-sycl.cpp @@ -35,6 +35,7 @@ #endif #include +#include "ggml.h" #include "ggml-sycl.h" #include "ggml-impl.h" #include "ggml-backend-impl.h" @@ -43,17 +44,17 @@ #include "ggml-sycl/backend.hpp" #include "ggml-sycl/common.hpp" #include "ggml-sycl/element_wise.hpp" +#include "ggml-sycl/gemm.hpp" +#include "ggml-sycl/getrows.hpp" #include "ggml-sycl/norm.hpp" #include "ggml-sycl/presets.hpp" -#include "ggml-sycl/gemm.hpp" +#include "ggml-sycl/quantize.hpp" +#include "ggml-sycl/repeat_back.hpp" #include "ggml-sycl/set_rows.hpp" #include "ggml-sycl/set.hpp" -#include "ggml-sycl/sycl_hw.hpp" -#include "ggml-sycl/getrows.hpp" -#include "ggml-sycl/repeat_back.hpp" -#include "ggml-sycl/quantize.hpp" #include "ggml-sycl/ssm_conv.hpp" -#include "ggml.h" +#include "ggml-sycl/sycl_hw.hpp" + static bool g_sycl_loaded = false; int g_ggml_sycl_debug = 0; @@ -62,6 +63,8 @@ int g_ggml_sycl_disable_graph = 0; int g_ggml_sycl_disable_dnn = 0; int g_ggml_sycl_prioritize_dmmv = 0; int g_ggml_sycl_use_async_mem_op = 0; +int g_ggml_sycl_enable_flash_attention = 1; + static ggml_sycl_device_info ggml_sycl_init() { ggml_sycl_device_info info = {}; @@ -94,11 +97,14 @@ static ggml_sycl_device_info ggml_sycl_init() { info.devices[i].cc = 100 * prop.get_major_version() + 10 * prop.get_minor_version(); - info.devices[i].nsm = prop.get_max_compute_units(); + info.devices[i].nsm = prop.get_max_compute_units() / 16; //16: Number of Xe Cores info.devices[i].opt_feature.reorder = device.ext_oneapi_architecture_is(syclex::arch_category::intel_gpu); info.devices[i].smpbo = prop.get_local_mem_size(); + info.devices[i].warp_size = WARP_SIZE; info.max_work_group_sizes[i] = prop.get_max_work_group_size(); + info.devices[i].max_wg_per_cu = info.max_work_group_sizes[i] / prop.get_max_compute_units(); + } for (int id = 0; id < info.device_count; ++id) { @@ -211,7 +217,37 @@ static void ggml_check_sycl() try { g_ggml_sycl_disable_graph = get_sycl_env("GGML_SYCL_DISABLE_GRAPH", 1); g_ggml_sycl_disable_dnn = get_sycl_env("GGML_SYCL_DISABLE_DNN", 0); g_ggml_sycl_prioritize_dmmv = get_sycl_env("GGML_SYCL_PRIORITIZE_DMMV", 0); + +#ifdef SYCL_FLASH_ATTN + g_ggml_sycl_enable_flash_attention = get_sycl_env("GGML_SYCL_ENABLE_FLASH_ATTN", 1); +#else + g_ggml_sycl_enable_flash_attention = 0; +#endif + GGML_SYCL_DEBUG("[SYCL] call ggml_check_sycl\n"); + + GGML_LOG_INFO("Build with Macros:\n"); +#if defined(GGML_SYCL_FORCE_MMQ) + GGML_LOG_INFO(" GGML_SYCL_FORCE_MMQ: yes\n"); +#else + GGML_LOG_INFO(" GGML_SYCL_FORCE_MMQ: no\n"); +#endif +#if defined(GGML_SYCL_F16) + GGML_LOG_INFO(" GGML_SYCL_F16: yes\n"); +#else + GGML_LOG_INFO(" GGML_SYCL_F16: no\n"); +#endif +#if defined(GGML_SYCL_GRAPH) + GGML_LOG_INFO(" GGML_SYCL_GRAPH: yes\n"); +#else + GGML_LOG_INFO(" GGML_SYCL_GRAPH: no\n"); +#endif +#if defined(GGML_SYCL_DNNL) + GGML_LOG_INFO(" GGML_SYCL_DNNL: yes\n"); +#else + GGML_LOG_INFO(" GGML_SYCL_DNNL: no\n"); +#endif + GGML_LOG_INFO("Running with Environment Variables:\n"); GGML_LOG_INFO(" GGML_SYCL_DEBUG: %d\n", g_ggml_sycl_debug); GGML_LOG_INFO(" GGML_SYCL_DISABLE_OPT: %d\n", g_ggml_sycl_disable_optimize); @@ -226,16 +262,12 @@ static void ggml_check_sycl() try { GGML_LOG_INFO(" GGML_SYCL_DISABLE_DNN: DNN disabled by compile flag\n"); #endif GGML_LOG_INFO(" GGML_SYCL_PRIORITIZE_DMMV: %d\n", g_ggml_sycl_prioritize_dmmv); - GGML_LOG_INFO("Build with Macros:\n"); -#if defined(GGML_SYCL_FORCE_MMQ) - GGML_LOG_INFO(" GGML_SYCL_FORCE_MMQ: yes\n"); + +#ifdef SYCL_FLASH_ATTN + GGML_LOG_INFO(" GGML_SYCL_ENABLE_FLASH_ATTN: %d\n", g_ggml_sycl_enable_flash_attention); #else - GGML_LOG_INFO(" GGML_SYCL_FORCE_MMQ: no\n"); -#endif -#if defined(GGML_SYCL_F16) - GGML_LOG_INFO(" GGML_SYCL_F16: yes\n"); -#else - GGML_LOG_INFO(" GGML_SYCL_F16: no\n"); + GGML_LOG_INFO(" GGML_SYCL_ENABLE_FLASH_ATTN: %d disabled by compile flag\n", + g_ggml_sycl_enable_flash_attention); #endif /* NOT REMOVE, keep it for next optimize for XMX. @@ -3012,7 +3044,7 @@ static void ggml_sycl_mul_mat_batched_sycl(ggml_backend_sycl_context & ctx, cons } #if GGML_SYCL_DNNL - // oneDNN handles strided data and does not need overhead of get_to_fp16_nc_sycl + // oneDNN handles strided data and does not need overhead of ggml_get_to_fp16_nc_sycl const int64_t ne_src1 = src1->nb[last_str] * src1->ne[last_dim] / type_size_src1; src1_f16_alloc.alloc(ne_src1); const to_fp16_sycl_t to_fp16_sycl = ggml_get_to_fp16_sycl(src1->type, dst); @@ -3021,7 +3053,7 @@ static void ggml_sycl_mul_mat_batched_sycl(ggml_backend_sycl_context & ctx, cons # else const int64_t ne_src1 = ggml_nelements(src1); src1_f16_alloc.alloc(ne_src1); - const to_fp16_nc_sycl_t to_fp16_nc_sycl = get_to_fp16_nc_sycl(src1->type); + const to_fp16_nc_sycl_t to_fp16_nc_sycl = ggml_get_to_fp16_nc_sycl(src1->type); GGML_ASSERT(to_fp16_nc_sycl != nullptr); to_fp16_nc_sycl(src1_f16, src1_f16_alloc.get(), ne10, ne11, ne12, ne13, s11, s12, s13, queue); #endif @@ -4116,6 +4148,9 @@ static bool ggml_sycl_compute_forward(ggml_backend_sycl_context & ctx, struct gg case GGML_OP_ROPE: ggml_sycl_rope(ctx, dst); break; + case GGML_OP_ROPE_BACK: + ggml_sycl_rope_back(ctx, dst); + break; case GGML_OP_IM2COL: ggml_sycl_im2col(ctx, dst); break; @@ -4149,6 +4184,9 @@ static bool ggml_sycl_compute_forward(ggml_backend_sycl_context & ctx, struct gg case GGML_OP_GATED_LINEAR_ATTN: ggml_sycl_op_gated_linear_attn(ctx, dst); break; + case GGML_OP_GATED_DELTA_NET: + ggml_sycl_gated_delta_net(ctx, dst); + break; case GGML_OP_SSM_CONV: ggml_sycl_ssm_conv(ctx, dst); break; @@ -4158,6 +4196,9 @@ static bool ggml_sycl_compute_forward(ggml_backend_sycl_context & ctx, struct gg case GGML_OP_ARANGE: ggml_sycl_arange(ctx, dst); break; + case GGML_OP_FLASH_ATTN_EXT: + ggml_sycl_flash_attn_ext(ctx, dst); + break; default: return false; } @@ -4819,10 +4860,10 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g return max_bias == 0.0f; } case GGML_OP_ROPE: + case GGML_OP_ROPE_BACK: case GGML_OP_IM2COL: - return true; case GGML_OP_UPSCALE: - return op->src[0]->type == GGML_TYPE_F32 && op->op_params[0] == GGML_SCALE_MODE_NEAREST && !(op->op_params[0] & GGML_SCALE_FLAG_ANTIALIAS); + return true; case GGML_OP_SUM: case GGML_OP_SUM_ROWS: case GGML_OP_MEAN: @@ -4840,8 +4881,9 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g k > 0 && k <= 32; } case GGML_OP_POOL_2D: - case GGML_OP_ACC: return true; + case GGML_OP_ACC: + return ggml_is_contiguous(op->src[0]) && ggml_is_contiguous(op->src[1]); case GGML_OP_PAD: // TODO: add circular padding support for syscl, see https://github.com/ggml-org/llama.cpp/pull/16985 if (ggml_get_op_params_i32(op, 8) != 0) { @@ -4853,6 +4895,7 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g case GGML_OP_RWKV_WKV6: case GGML_OP_RWKV_WKV7: case GGML_OP_GATED_LINEAR_ATTN: + case GGML_OP_GATED_DELTA_NET: return true; case GGML_OP_SSM_CONV: return op->type == GGML_TYPE_F32 && @@ -4862,6 +4905,8 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g return op->type == GGML_TYPE_F32; case GGML_OP_ARANGE: return op->type == GGML_TYPE_F32; + case GGML_OP_FLASH_ATTN_EXT: + return ggml_sycl_flash_attn_ext_supported(device, op); default: return false; } diff --git a/ggml/src/ggml-sycl/norm.cpp b/ggml/src/ggml-sycl/norm.cpp index 00702b5d09..09fce1280a 100644 --- a/ggml/src/ggml-sycl/norm.cpp +++ b/ggml/src/ggml-sycl/norm.cpp @@ -202,47 +202,34 @@ static void rms_norm_f32(const float* x, float* dst, const int ncols, const int6 } } -static void l2_norm_f32(const float* x, float* dst, const int ncols, const float eps, - const sycl::nd_item<3>& item_ct1, float* s_sum, int block_size) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - const int tid = item_ct1.get_local_id(2); - const int nthreads = item_ct1.get_local_range(2); - const int nwarps = nthreads / WARP_SIZE; +template +static void l2_norm_f32(const float * x, float * dst, const int ncols, + const int64_t stride_row, const int64_t stride_channel, + const int64_t stride_sample, const float eps, + const sycl::nd_item<3>& item_ct1, float* s_sum, const int block_size) { + const int nrows = item_ct1.get_group_range(2); + const int nchannels = item_ct1.get_group_range(1); + + const int row = item_ct1.get_group(2); + const int channel = item_ct1.get_group(1); + const int sample = item_ct1.get_group(0); + const int tid = item_ct1.get_local_id(2); + + x += sample*stride_sample + channel*stride_channel + row*stride_row; + dst += ((sample*nchannels + channel)*nrows + row)*ncols; + float tmp = 0.0f; // partial sum for thread in warp for (int col = tid; col < ncols; col += block_size) { - const float xi = x[row * ncols + col]; + const float xi = x[col]; tmp += xi * xi; } - // sum up partial sums - tmp = warp_reduce_sum(tmp, item_ct1); - if (block_size > WARP_SIZE) { - - int warp_id = item_ct1.get_local_id(2) / WARP_SIZE; - int lane_id = item_ct1.get_local_id(2) % WARP_SIZE; - if (lane_id == 0) { - s_sum[warp_id] = tmp; - } - /* - DPCT1118:3: SYCL group functions and algorithms must be encountered in - converged control flow. You may need to adjust the code. - */ - item_ct1.barrier(sycl::access::fence_space::local_space); - size_t nreduce = nwarps / WARP_SIZE; - tmp = 0.f; - for (size_t i = 0; i < nreduce; i += 1) - { - tmp += s_sum[lane_id + i * WARP_SIZE]; - } - tmp = warp_reduce_sum(tmp, item_ct1); - } - - const float scale = sycl::rsqrt(sycl::max(tmp, eps * eps)); + tmp = block_reduce(tmp, s_sum, block_size); + const float scale = sycl::rsqrt(sycl::fmax(tmp, eps * eps)); for (int col = tid; col < ncols; col += block_size) { - dst[row * ncols + col] = scale * x[row * ncols + col]; + dst[col] = scale * x[col]; } } @@ -369,42 +356,50 @@ static void rms_norm_f32_sycl(const float* x, float* dst, const int ncols, const } } -static void l2_norm_f32_sycl(const float* x, float* dst, const int ncols, - const int nrows, const float eps, - queue_ptr stream, int device) { - // printf("%s ncols=%d, nrows=%d, WARP_SIZE=%d\n", __func__, ncols, nrows, WARP_SIZE); +template +static void l2_norm_f32_sycl(const float * x, + float * dst, + const int ncols, + const int nrows, + const int nchannels, + const int nsamples, + const int64_t stride_row, + const int64_t stride_channel, + const int64_t stride_sample, + const float eps, + queue_ptr stream, + int device) { + const dpct::dim3 blocks_num(nrows, nchannels, nsamples); + if (ncols < 1024) { - const sycl::range<3> block_dims(1, 1, WARP_SIZE); + const dpct::dim3 block_dims(warp_size, 1, 1); stream->submit([&](sycl::handler& cgh) { cgh.parallel_for( - sycl::nd_range<3>(sycl::range<3>(1, 1, nrows) * block_dims, + sycl::nd_range<3>(blocks_num * block_dims, block_dims), [=](sycl::nd_item<3> item_ct1) - [[sycl::reqd_sub_group_size(WARP_SIZE)]] { - l2_norm_f32(x, dst, ncols, eps, item_ct1, - nullptr, WARP_SIZE); + [[sycl::reqd_sub_group_size(warp_size)]] { + l2_norm_f32(x, dst, ncols, stride_row, stride_channel, stride_sample, eps, item_ct1, + nullptr, warp_size); }); }); } else { const int work_group_size = ggml_sycl_info().max_work_group_sizes[device]; - assert(work_group_size % (WARP_SIZE * WARP_SIZE) == 0); + assert(work_group_size % (warp_size * warp_size) == 0); const sycl::range<3> block_dims(1, 1, work_group_size); - /* - DPCT1049:19: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ + int lsm_size = block_dims[2] > warp_size ? work_group_size / warp_size * sizeof(float): 0; stream->submit([&](sycl::handler& cgh) { - sycl::local_accessor s_sum_acc_ct1(sycl::range<1>(work_group_size / WARP_SIZE), + sycl::local_accessor s_sum_acc_ct1(sycl::range<1>(lsm_size), cgh); + cgh.parallel_for( - sycl::nd_range<3>(sycl::range<3>(1, 1, nrows) * block_dims, + sycl::nd_range<3>(blocks_num * block_dims, block_dims), [=](sycl::nd_item<3> item_ct1) - [[sycl::reqd_sub_group_size(WARP_SIZE)]] { - l2_norm_f32(x, dst, ncols, eps, item_ct1, - get_pointer(s_sum_acc_ct1), work_group_size); + [[sycl::reqd_sub_group_size(warp_size)]] { + l2_norm_f32(x, dst, ncols, stride_row, stride_channel, stride_sample, + eps, item_ct1, get_pointer(s_sum_acc_ct1), work_group_size); }); }); } @@ -634,21 +629,28 @@ void ggml_sycl_op_rms_norm_back(ggml_backend_sycl_context & ctx, ggml_tensor * d } void ggml_sycl_op_l2_norm(ggml_backend_sycl_context& ctx, ggml_tensor* dst) { + const ggml_tensor * src0 = dst->src[0]; + const float * src0_d = (const float *) src0->data; + float * dst_d = (float *) dst->data; + dpct::queue_ptr stream = ctx.stream(); - GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32); - GGML_ASSERT(dst->type == GGML_TYPE_F32); + GGML_ASSERT(src0->type == GGML_TYPE_F32); + GGML_ASSERT( dst->type == GGML_TYPE_F32); - dpct::queue_ptr main_stream = ctx.stream(); - SYCL_CHECK(ggml_sycl_set_device(ctx.device)); - - const int64_t ne00 = dst->src[0]->ne[0]; - const int64_t nrows = ggml_nrows(dst->src[0]); - const float * src0_dd = static_cast(dst->src[0]->data); - float * dst_dd = static_cast(dst->data); + GGML_TENSOR_UNARY_OP_LOCALS; float eps; memcpy(&eps, dst->op_params, sizeof(float)); + GGML_ASSERT(eps >= 0.0f); - l2_norm_f32_sycl(src0_dd, dst_dd, ne00, nrows, eps, main_stream, ctx.device); + const size_t ts0 = ggml_type_size(src0->type); + GGML_ASSERT(nb00 == ts0); + const int64_t s01 = nb01 / ts0; + const int64_t s02 = nb02 / ts0; + const int64_t s03 = nb03 / ts0; + /*support both WARP_SIZE or WARP_32_SIZE in code + choose by hardware for better performance + */ + l2_norm_f32_sycl(src0_d, dst_d, ne00, ne01, ne02, ne03, s01, s02, s03, eps, stream, ctx.device); } diff --git a/ggml/src/ggml-sycl/presets.hpp b/ggml/src/ggml-sycl/presets.hpp index b651737423..dc4dad1d37 100644 --- a/ggml/src/ggml-sycl/presets.hpp +++ b/ggml/src/ggml-sycl/presets.hpp @@ -73,4 +73,7 @@ static_assert(K_QUANTS_PER_ITERATION == 1 || K_QUANTS_PER_ITERATION == 2, "K_QUA #define MUL_MAT_SRC1_COL_STRIDE 128 #define QK_WARP_SIZE 32 +#define WARP_32_SIZE 32 +#define WARP_16_SIZE 16 + #endif // GGML_SYCL_PRESETS_HPP diff --git a/ggml/src/ggml-sycl/rope.cpp b/ggml/src/ggml-sycl/rope.cpp index aeaa58b95b..9d83a1e9fa 100644 --- a/ggml/src/ggml-sycl/rope.cpp +++ b/ggml/src/ggml-sycl/rope.cpp @@ -1,4 +1,5 @@ #include "rope.hpp" +#include "convert.hpp" #include "ggml-sycl/common.hpp" #include "ggml.h" @@ -15,366 +16,489 @@ static float rope_yarn_ramp(const float low, const float high, const int i0) { return 1.0f - sycl::min(1.0f, sycl::max(0.0f, y)); } -// YaRN algorithm based on LlamaYaRNScaledRotaryEmbedding.py from https://github.com/jquesnelle/yarn -// MIT licensed. Copyright (c) 2023 Jeffrey Quesnelle and Bowen Peng. -static void rope_yarn( - float theta_extrap, float freq_scale, rope_corr_dims corr_dims, int64_t i0, float ext_factor, float mscale, - float * cos_theta, float * sin_theta) { - // Get n-d rotational scaling corrected for extrapolation +template +static void rope_yarn(const float theta_extrap, const float freq_scale, + const rope_corr_dims corr_dims, const int64_t i0, + const float ext_factor, float mscale, float &cos_theta, + float &sin_theta) { float theta_interp = freq_scale * theta_extrap; float theta = theta_interp; if (ext_factor != 0.0f) { - float ramp_mix = rope_yarn_ramp(corr_dims.v[0], corr_dims.v[1], i0) * ext_factor; + float ramp_mix = + rope_yarn_ramp(corr_dims.v[0], corr_dims.v[1], i0) * ext_factor; theta = theta_interp * (1 - ramp_mix) + theta_extrap * ramp_mix; - // Get n-d magnitude scaling corrected for interpolation mscale *= 1.0f + 0.1f * sycl::log(1.0f / freq_scale); } - *cos_theta = sycl::cos(theta) * mscale; - *sin_theta = sycl::sin(theta) * mscale; + cos_theta = sycl::cos(theta) * mscale; + sin_theta = sycl::sin(theta) * mscale; + if (!forward) { + sin_theta *= -1.0f; + } } -template -static void rope_norm(const T * x, T * dst, const int ne0, const int ne1, const int s1, const int s2, const int n_dims, - const int32_t * pos, float freq_scale, float ext_factor, float attn_factor, - const rope_corr_dims corr_dims, const float theta_scale, const float * freq_factors, - const sycl::nd_item<3> & item_ct1) { - const int i0 = 2 * (item_ct1.get_local_range(1) * item_ct1.get_group(1) + item_ct1.get_local_id(1)); +template +static void rope_norm(const T *x, D *dst, const int ne00, const int ne01, + const int ne02, const int s01, const int s02, + const int s03, const int s1, const int s2, const int s3, + const int n_dims, const int32_t *pos, + const float freq_scale, const float ext_factor, + const float attn_factor, const rope_corr_dims corr_dims, + const float theta_scale, const float *freq_factors, + const int64_t *row_indices, const int set_rows_stride) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const int i0 = 2 * (item_ct1.get_local_range(1) * item_ct1.get_group(1) + + item_ct1.get_local_id(1)); - if (i0 >= ne0) { + if (i0 >= ne00) { return; } - const int row = item_ct1.get_local_range(2) * item_ct1.get_group(2) + item_ct1.get_local_id(2); + const int row_dst = item_ct1.get_local_range(2) * item_ct1.get_group(2) + + item_ct1.get_local_id(2); - const int row0 = row % ne1; - const int channel0 = row / ne1; + const uint32_t i3 = row_dst / (ne01 * ne02); + const uint32_t i2 = (row_dst - i3 * ne01 * ne02) / ne01; + const uint32_t i1 = row_dst - i3 * ne01 * ne02 - i2 * ne01; - const int i = row * ne0 + i0; - const int i2 = channel0 * s2 + row0 * s1 + i0; + int idst = i0 + i1 * s1 + i2 * s2 + i3 * s3; + const int ix = i0 + i1 * s01 + i2 * s02 + i3 * s03; + if (set_rows_stride != 0) { + idst = i1 * s1 + i0; + idst += row_indices[i2] * set_rows_stride; + } + + const auto &store_coaelsced = [&](float x0, float x1) { + if constexpr (std::is_same_v) { + sycl::float2 v = sycl::float2(x0, x1); + ggml_sycl_memcpy_1<8>(dst + idst, &v); + } else if constexpr (std::is_same_v) { + sycl::half2 v = sycl::half2(x0, x1); + ggml_sycl_memcpy_1<4>(dst + idst, &v); + } + }; if (i0 >= n_dims) { - *reinterpret_cast *>(dst + i) = *reinterpret_cast *>(x + i2); + store_coaelsced(x[ix + 0], x[ix + 1]); return; } - const float theta_base = pos[channel0] * sycl::pow(theta_scale, i0 / 2.0f); + const float theta_base = pos[i2] * dpct::pow(theta_scale, i0 / 2.0f); const float freq_factor = has_ff ? freq_factors[i0 / 2] : 1.0f; float cos_theta; float sin_theta; - rope_yarn(theta_base / freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta); + rope_yarn(theta_base / freq_factor, freq_scale, corr_dims, i0, + ext_factor, attn_factor, cos_theta, sin_theta); - const float x0 = x[i2 + 0]; - const float x1 = x[i2 + 1]; + const float x0 = x[ix + 0]; + const float x1 = x[ix + 1]; - dst[i + 0] = x0 * cos_theta - x1 * sin_theta; - dst[i + 1] = x0 * sin_theta + x1 * cos_theta; + store_coaelsced(x0 * cos_theta - x1 * sin_theta, + x0 * sin_theta + x1 * cos_theta); } -template -static void rope_neox(const T * x, T * dst, const int ne0, const int ne1, const int s1, const int s2, const int n_dims, - const int32_t * pos, const float freq_scale, const float ext_factor, const float attn_factor, - const rope_corr_dims corr_dims, const float theta_scale, const float * freq_factors, - const sycl::nd_item<3> & item_ct1) { - const int i0 = 2 * (item_ct1.get_local_range(1) * item_ct1.get_group(1) + item_ct1.get_local_id(1)); +template +static void rope_neox(const T *x, D *dst, const int ne00, const int ne01, + const int ne02, const int s01, const int s02, + const int s03, const int s1, const int s2, const int s3, + const int n_dims, const int32_t *pos, + const float freq_scale, const float ext_factor, + const float attn_factor, const rope_corr_dims corr_dims, + const float theta_scale, const float *freq_factors, + const int64_t *row_indices, const int set_rows_stride) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const int i0 = 2 * (item_ct1.get_local_range(1) * item_ct1.get_group(1) + + item_ct1.get_local_id(1)); - if (i0 >= ne0) { + if (i0 >= ne00) { return; } - const int row = item_ct1.get_local_range(2) * item_ct1.get_group(2) + item_ct1.get_local_id(2); + const int row_dst = item_ct1.get_local_range(2) * item_ct1.get_group(2) + + item_ct1.get_local_id(2); - const int row0 = row % ne1; - const int channel0 = row / ne1; + const uint32_t i3 = row_dst / (ne01 * ne02); + const uint32_t i2 = (row_dst - i3 * ne01 * ne02) / ne01; + const uint32_t i1 = row_dst - i3 * ne01 * ne02 - i2 * ne01; - const int i = row * ne0 + i0 / 2; - const int i2 = channel0 * s2 + row0 * s1 + i0 / 2; + int idst = i0 / 2 + i1 * s1 + i2 * s2 + i3 * s3; + const int ix = i0 / 2 + i1 * s01 + i2 * s02 + i3 * s03; + + if (set_rows_stride != 0) { + idst = i1 * s1 + i0 / 2; + idst += row_indices[i2] * set_rows_stride; + } if (i0 >= n_dims) { - *reinterpret_cast *>(dst + i + i0 / 2) = *reinterpret_cast *>(x + i2 + i0 / 2); + dst[idst + i0 / 2 + 0] = ggml_sycl_cast(x[ix + i0 / 2 + 0]); + dst[idst + i0 / 2 + 1] = ggml_sycl_cast(x[ix + i0 / 2 + 1]); + return; } - const float theta_base = pos[channel0] * sycl::pow(theta_scale, i0 / 2.0f); + const float theta_base = pos[i2] * dpct::pow(theta_scale, i0 / 2.0f); const float freq_factor = has_ff ? freq_factors[i0 / 2] : 1.0f; float cos_theta; float sin_theta; - rope_yarn(theta_base / freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta); + rope_yarn(theta_base / freq_factor, freq_scale, corr_dims, i0, + ext_factor, attn_factor, cos_theta, sin_theta); - const float x0 = x[i2 + 0]; - const float x1 = x[i2 + n_dims / 2]; + const float x0 = x[ix + 0]; + const float x1 = x[ix + n_dims / 2]; - dst[i + 0] = x0 * cos_theta - x1 * sin_theta; - dst[i + n_dims / 2] = x0 * sin_theta + x1 * cos_theta; + dst[idst + 0] = ggml_sycl_cast(x0 * cos_theta - x1 * sin_theta); + dst[idst + n_dims / 2] = ggml_sycl_cast(x0 * sin_theta + x1 * cos_theta); } -template -static void rope_multi(const T * x, T * dst, const int ne0, const int ne1, const int ne2, const size_t s1, - const size_t s2, const int n_dims, const int32_t * pos, const float freq_scale, - const float ext_factor, const float attn_factor, const rope_corr_dims corr_dims, - const float theta_scale, const float * freq_factors, const mrope_sections sections, - const bool is_imrope, const sycl::nd_item<3> & item_ct1) { - // get index pos - const int i0 = 2 * (item_ct1.get_group(1) * item_ct1.get_local_range(1) + item_ct1.get_local_id(1)); - if (i0 >= ne0) { +template +static void rope_multi(const T *x, T *dst, const int ne00, const int ne01, + const int ne02, const int s01, const int s02, + const int s03, const int s1, const int s2, const int s3, + const int n_dims, const int32_t *pos, + const float freq_scale, const float ext_factor, + const float attn_factor, const rope_corr_dims corr_dims, + const float theta_scale, const float *freq_factors, + const mrope_sections sections, const bool is_imrope) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const int i0 = 2 * (item_ct1.get_local_range(1) * item_ct1.get_group(1) + + item_ct1.get_local_id(1)); + + if (i0 >= ne00) { return; } - const int row_dst = (item_ct1.get_group(2) * item_ct1.get_local_range(2)) + item_ct1.get_local_id(2); - const int row_x = row_dst % ne1; - const int channel_x = row_dst / ne1; - const int idst = (row_dst * ne0) + (i0 / 2); - const size_t ix = ((size_t) channel_x * s2) + ((size_t) row_x * s1) + (i0 / 2); + const int row_dst = item_ct1.get_local_range(2) * item_ct1.get_group(2) + + item_ct1.get_local_id(2); + + const uint32_t i3 = row_dst / (ne01 * ne02); + const uint32_t i2 = (row_dst - i3 * ne01 * ne02) / ne01; + const uint32_t i1 = row_dst - i3 * ne01 * ne02 - i2 * ne01; + + int idst = i0 / 2 + i1 * s1 + i2 * s2 + i3 * s3; + const int ix = i0 / 2 + i1 * s01 + i2 * s02 + i3 * s03; if (i0 >= n_dims) { - *reinterpret_cast *>(dst + idst + i0 / 2) = *reinterpret_cast *>(x + i0 / 2 + ix); + dst[idst + i0 / 2 + 0] = x[ix + i0 / 2 + 0]; + dst[idst + i0 / 2 + 1] = x[ix + i0 / 2 + 1]; + return; } - const int sect_dims = sections.v[0] + sections.v[1] + sections.v[2] + sections.v[3]; + const int sect_dims = + sections.v[0] + sections.v[1] + sections.v[2] + sections.v[3]; const int sec_w = sections.v[1] + sections.v[0]; const int sector = (i0 / 2) % sect_dims; - float theta_base = 0.0; if (is_imrope) { - if (sector % 3 == 1 && sector < 3 * sections.v[1]) { - theta_base = pos[channel_x + ne2 * 1]*sycl::pow(theta_scale, i0/2.0f); - } else if (sector % 3 == 2 && sector < 3 * sections.v[2]) { - theta_base = pos[channel_x + ne2 * 2]*sycl::pow(theta_scale, i0/2.0f); - } else if (sector % 3 == 0 && sector < 3 * sections.v[0]) { - theta_base = pos[channel_x]*sycl::pow(theta_scale, i0/2.0f); + if (sector % 3 == 1 && sector < 3 * sections.v[1]) { // h + theta_base = pos[i2 + ne02 * 1] * dpct::pow(theta_scale, i0 / 2.0f); + } else if (sector % 3 == 2 && sector < 3 * sections.v[2]) { // w + theta_base = pos[i2 + ne02 * 2] * dpct::pow(theta_scale, i0 / 2.0f); + } else if (sector % 3 == 0 && sector < 3 * sections.v[0]) { // t + theta_base = pos[i2] * dpct::pow(theta_scale, i0 / 2.0f); } else { - theta_base = pos[channel_x + ne2 * 3]*sycl::pow(theta_scale, i0/2.0f); + theta_base = pos[i2 + ne02 * 3] * dpct::pow(theta_scale, i0 / 2.0f); } } else { if (sector < sections.v[0]) { - theta_base = pos[channel_x]*sycl::pow(theta_scale, i0/2.0f); - } - else if (sector >= sections.v[0] && sector < sec_w) { - theta_base = pos[channel_x + ne2 * 1]*sycl::pow(theta_scale, i0/2.0f); - } - else if (sector >= sec_w && sector < sec_w + sections.v[2]) { - theta_base = pos[channel_x + ne2 * 2]*sycl::pow(theta_scale, i0/2.0f); - } - else if (sector >= sec_w + sections.v[2]) { - theta_base = pos[channel_x + ne2 * 3]*sycl::pow(theta_scale, i0/2.0f); + theta_base = pos[i2] * dpct::pow(theta_scale, i0 / 2.0f); + } else if (sector >= sections.v[0] && sector < sec_w) { + theta_base = pos[i2 + ne02 * 1] * dpct::pow(theta_scale, i0 / 2.0f); + } else if (sector >= sec_w && sector < sec_w + sections.v[2]) { + theta_base = pos[i2 + ne02 * 2] * dpct::pow(theta_scale, i0 / 2.0f); + } else if (sector >= sec_w + sections.v[2]) { + theta_base = pos[i2 + ne02 * 3] * dpct::pow(theta_scale, i0 / 2.0f); } } const float freq_factor = has_ff ? freq_factors[i0 / 2] : 1.0f; - float cos_theta; - float sin_theta; - rope_yarn(theta_base / freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta); - const float x0 = x[ix + 0]; - const float x1 = x[ix + n_dims/2]; - // store results in dst - dst[idst + 0] = x0 * cos_theta - x1 * sin_theta; - dst[idst + n_dims/2] = x0 * sin_theta + x1 * cos_theta; + float cos_theta; + float sin_theta; + + rope_yarn(theta_base / freq_factor, freq_scale, corr_dims, i0, + ext_factor, attn_factor, cos_theta, sin_theta); + + const float x0 = x[ix + 0]; + const float x1 = x[ix + n_dims / 2]; + + dst[idst + 0] = x0 * cos_theta - x1 * sin_theta; + dst[idst + n_dims / 2] = x0 * sin_theta + x1 * cos_theta; } +template +static void rope_vision(const T *x, T *dst, const int ne00, const int ne01, + const int ne02, const int s01, const int s02, + const int s03, const int s1, const int s2, const int s3, + const int n_dims, const int32_t *pos, + const float freq_scale, const float ext_factor, + const float attn_factor, const rope_corr_dims corr_dims, + const float theta_scale, const float *freq_factors, + const mrope_sections sections) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const int i0 = 2 * (item_ct1.get_local_range(1) * item_ct1.get_group(1) + + item_ct1.get_local_id(1)); - -template -static void rope_vision(const T * x, T * dst, const int ne0, const int ne1, const int ne2, const size_t s1, - const size_t s2, const int n_dims, const int32_t * pos, const float freq_scale, - const float ext_factor, const float attn_factor, const rope_corr_dims corr_dims, - const float theta_scale, const float * freq_factors, const mrope_sections sections, - const sycl::nd_item<3> & item_ct1) { - // get index pos - const int i0 = 2 * (item_ct1.get_group(1) * item_ct1.get_local_range(1) + item_ct1.get_local_id(1)); - if (i0 >= ne0) { + if (i0 >= ne00) { return; } - const int row_dst = (item_ct1.get_group(2) * item_ct1.get_local_range(2)) + item_ct1.get_local_id(2); - const int row_x = row_dst % ne1; - const int channel_x = row_dst / ne1; - const int idst = (row_dst * ne0) + (i0 / 2); - const size_t ix = ((size_t) channel_x * s2) + ((size_t) row_x * s1) + (i0 / 2); + + const int row_dst = item_ct1.get_local_range(2) * item_ct1.get_group(2) + + item_ct1.get_local_id(2); + + const uint32_t i3 = row_dst / (ne01 * ne02); + const uint32_t i2 = (row_dst - i3 * ne01 * ne02) / ne01; + const uint32_t i1 = row_dst - i3 * ne01 * ne02 - i2 * ne01; + + int idst = i0 / 2 + i1 * s1 + i2 * s2 + i3 * s3; + const int ix = i0 / 2 + i1 * s01 + i2 * s02 + i3 * s03; const int sect_dims = sections.v[0] + sections.v[1]; - const int sector = (i0 / 2) % sect_dims; + const int sec_w = sections.v[1] + sections.v[0]; + const int sector = (i0 / 2) % sect_dims; - float theta_base = 0.0f; + float theta_base = 0.0; if (sector < sections.v[0]) { const int p = sector; - theta_base = pos[channel_x] * sycl::pow(theta_scale, (float) p); - } else { + theta_base = pos[i2] * dpct::pow(theta_scale, p); + } else if (sector >= sections.v[0] && sector < sec_w) { const int p = sector - sections.v[0]; - theta_base = pos[channel_x + ne2] * sycl::pow(theta_scale, (float) p); + theta_base = pos[i2 + ne02] * dpct::pow(theta_scale, p); } const float freq_factor = has_ff ? freq_factors[i0 / 2] : 1.0f; - float cos_theta; - float sin_theta; - rope_yarn(theta_base / freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta); + + float cos_theta; + float sin_theta; + + rope_yarn(theta_base / freq_factor, freq_scale, corr_dims, i0, + ext_factor, attn_factor, cos_theta, sin_theta); + const float x0 = x[ix + 0]; const float x1 = x[ix + n_dims]; - // store results in dst - dst[idst + 0] = x0 * cos_theta - x1 * sin_theta; + dst[idst + 0] = x0 * cos_theta - x1 * sin_theta; dst[idst + n_dims] = x0 * sin_theta + x1 * cos_theta; } -template -static void rope_norm_sycl(const T * x, T * dst, const int ne0, const int ne1, const int s1, const int s2, - const int n_dims, int nr, const int32_t * pos, const float freq_scale, const float freq_base, - const float ext_factor, const float attn_factor, const rope_corr_dims corr_dims, - const float * freq_factors, queue_ptr stream) { - GGML_ASSERT(ne0 % 2 == 0); - const sycl::range<3> block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1); - const int num_blocks_x = ceil_div(ne0, (2 * SYCL_ROPE_BLOCK_SIZE)); - const sycl::range<3> block_nums(1, num_blocks_x, nr); +template +static void +rope_norm_sycl(const T *x, D *dst, const int ne00, const int ne01, + const int ne02, const int s01, const int s02, const int s03, + const int s1, const int s2, const int s3, const int n_dims, + const int nr, const int32_t *pos, const float freq_scale, + const float freq_base, const float ext_factor, + const float attn_factor, const rope_corr_dims corr_dims, + const float *freq_factors, const int64_t *row_indices, + const int set_rows_stride, dpct::queue_ptr stream) { + GGML_ASSERT(ne00 % 2 == 0); + const dpct::dim3 block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1); + const int n_blocks_x = + (ne00 + 2 * SYCL_ROPE_BLOCK_SIZE - 1) / (2 * SYCL_ROPE_BLOCK_SIZE); + const dpct::dim3 block_nums(nr, n_blocks_x, 1); const float theta_scale = powf(freq_base, -2.0f / n_dims); - dpct::has_capability_or_fail(stream->get_device(), { sycl::aspect::fp16 }); - if (freq_factors == nullptr) { - /* - DPCT1049:40: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - stream->parallel_for(sycl::nd_range<3>(block_nums * block_dims, block_dims), [=](sycl::nd_item<3> item_ct1) { - rope_norm(x, dst, ne0, ne1, s1, s2, n_dims, pos, freq_scale, ext_factor, attn_factor, corr_dims, - theta_scale, freq_factors, item_ct1); - }); + stream->parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + GGML_UNUSED(item_ct1); + rope_norm( + x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims, + pos, freq_scale, ext_factor, attn_factor, corr_dims, + theta_scale, freq_factors, row_indices, set_rows_stride); + }); } else { - /* - DPCT1049:41: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - stream->parallel_for(sycl::nd_range<3>(block_nums * block_dims, block_dims), [=](sycl::nd_item<3> item_ct1) { - rope_norm(x, dst, ne0, ne1, s1, s2, n_dims, pos, freq_scale, ext_factor, attn_factor, corr_dims, - theta_scale, freq_factors, item_ct1); - }); + stream->parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + GGML_UNUSED(item_ct1); + rope_norm( + x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims, + pos, freq_scale, ext_factor, attn_factor, corr_dims, + theta_scale, freq_factors, row_indices, set_rows_stride); + }); } } -template -static void rope_neox_sycl(const T * x, T * dst, const int ne0, const int ne1, const int s1, const int s2, - const int n_dims, const int nr, const int32_t * pos, const float freq_scale, - const float freq_base, const float ext_factor, const float attn_factor, - const rope_corr_dims corr_dims, const float * freq_factors, queue_ptr stream) { - GGML_ASSERT(ne0 % 2 == 0); - const sycl::range<3> block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1); - const int num_blocks_x = ceil_div(ne0, (2 * SYCL_ROPE_BLOCK_SIZE)); - const sycl::range<3> block_nums(1, num_blocks_x, nr); +template +static void +rope_neox_sycl(const T *x, D *dst, const int ne00, const int ne01, + const int ne02, const int s01, const int s02, const int s03, + const int s1, const int s2, const int s3, const int n_dims, + const int nr, const int32_t *pos, const float freq_scale, + const float freq_base, const float ext_factor, + const float attn_factor, const rope_corr_dims corr_dims, + const float *freq_factors, const int64_t *row_indices, + const int set_rows_stride, dpct::queue_ptr stream) { + GGML_ASSERT(ne00 % 2 == 0); + const dpct::dim3 block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1); + const int n_blocks_x = + (ne00 + 2 * SYCL_ROPE_BLOCK_SIZE - 1) / (2 * SYCL_ROPE_BLOCK_SIZE); + const dpct::dim3 block_nums(nr, n_blocks_x, 1); const float theta_scale = powf(freq_base, -2.0f / n_dims); - dpct::has_capability_or_fail(stream->get_device(), { sycl::aspect::fp16 }); - if (freq_factors == nullptr) { - stream->parallel_for(sycl::nd_range<3>(block_nums * block_dims, block_dims), [=](sycl::nd_item<3> item_ct1) { - rope_neox(x, dst, ne0, ne1, s1, s2, n_dims, pos, freq_scale, ext_factor, attn_factor, corr_dims, - theta_scale, freq_factors, item_ct1); - }); + stream->parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + GGML_UNUSED(item_ct1); + rope_neox( + x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims, + pos, freq_scale, ext_factor, attn_factor, corr_dims, + theta_scale, freq_factors, row_indices, set_rows_stride); + }); } else { - stream->parallel_for(sycl::nd_range<3>(block_nums * block_dims, block_dims), [=](sycl::nd_item<3> item_ct1) { - rope_neox(x, dst, ne0, ne1, s1, s2, n_dims, pos, freq_scale, ext_factor, attn_factor, corr_dims, - theta_scale, freq_factors, item_ct1); - }); + stream->parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + GGML_UNUSED(item_ct1); + rope_neox( + x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims, + pos, freq_scale, ext_factor, attn_factor, corr_dims, + theta_scale, freq_factors, row_indices, set_rows_stride); + }); } } -template -static void rope_multi_sycl(const T * x, T * dst, const int ne0, const int ne1, const int ne2, const size_t s1, - const size_t s2, const int n_dims, const int nr, const int32_t * pos, - const float freq_scale, const float freq_base, const float ext_factor, - const float attn_factor, const rope_corr_dims corr_dims, const float * freq_factors, - const mrope_sections sections, const bool is_imrope, queue_ptr stream) { - GGML_ASSERT(ne0 % 2 == 0); - const sycl::range<3> block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1); - const int n_blocks_y = ceil_div(ne0, (2 * SYCL_ROPE_BLOCK_SIZE)); - const sycl::range<3> grid_dims(1, n_blocks_y, nr); - const sycl::nd_range<3> nd_range(grid_dims * block_dims, block_dims); +template +static void +rope_multi_sycl(const T *x, T *dst, const int ne00, const int ne01, + const int ne02, const int s01, const int s02, const int s03, + const int s1, const int s2, const int s3, const int n_dims, + const int nr, const int32_t *pos, const float freq_scale, + const float freq_base, const float ext_factor, + const float attn_factor, const rope_corr_dims corr_dims, + const float *freq_factors, const mrope_sections sections, + const bool is_imrope, dpct::queue_ptr stream) { + GGML_ASSERT(ne00 % 2 == 0); + const dpct::dim3 block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1); + const int n_blocks_x = + (ne00 + 2 * SYCL_ROPE_BLOCK_SIZE - 1) / (2 * SYCL_ROPE_BLOCK_SIZE); + const dpct::dim3 block_nums(nr, n_blocks_x, 1); + + const float theta_scale = powf(freq_base, -2.0f / n_dims); - const float theta_scale = std::pow(freq_base, -2.0f / n_dims); - // Add FP16 capability check if T could be sycl::half - if constexpr (std::is_same_v) { - dpct::has_capability_or_fail(stream->get_device(), { sycl::aspect::fp16 }); - } - // launch kernel if (freq_factors == nullptr) { - stream->parallel_for(nd_range, [=](sycl::nd_item<3> item_ct1) { - rope_multi(x, dst, ne0, ne1, ne2, s1, s2, n_dims, pos, freq_scale, ext_factor, attn_factor, - corr_dims, theta_scale, freq_factors, sections, is_imrope, item_ct1); - }); + stream->parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + GGML_UNUSED(item_ct1); + rope_multi( + x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims, + pos, freq_scale, ext_factor, attn_factor, corr_dims, + theta_scale, freq_factors, sections, is_imrope); + }); } else { - stream->parallel_for(nd_range, [=](sycl::nd_item<3> item_ct1) { - rope_multi(x, dst, ne0, ne1, ne2, s1, s2, n_dims, pos, freq_scale, ext_factor, attn_factor, - corr_dims, theta_scale, freq_factors, sections, is_imrope, item_ct1); - }); + stream->parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + GGML_UNUSED(item_ct1); + rope_multi( + x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims, + pos, freq_scale, ext_factor, attn_factor, corr_dims, + theta_scale, freq_factors, sections, is_imrope); + }); } } +template +static void +rope_vision_sycl(const T *x, T *dst, const int ne00, const int ne01, + const int ne02, const int s01, const int s02, const int s03, + const int s1, const int s2, const int s3, const int n_dims, + const int nr, const int32_t *pos, const float freq_scale, + const float freq_base, const float ext_factor, + const float attn_factor, const rope_corr_dims corr_dims, + const float *freq_factors, const mrope_sections sections, + dpct::queue_ptr stream) { + GGML_ASSERT(ne00 % 2 == 0); + const dpct::dim3 block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1); + const int n_blocks_x = + (ne00 + 2 * SYCL_ROPE_BLOCK_SIZE - 1) / (2 * SYCL_ROPE_BLOCK_SIZE); + const dpct::dim3 block_nums(nr, n_blocks_x, 1); + const float theta_scale = powf(freq_base, -2.0f / n_dims); - -// rope vision -template -static void rope_vision_sycl(const T * x, T * dst, const int ne0, const int ne1, const int ne2, const size_t s1, - const size_t s2, const int n_dims, const int nr, const int32_t * pos, - const float freq_scale, const float freq_base, const float ext_factor, - const float attn_factor, const rope_corr_dims corr_dims, const float * freq_factors, - const mrope_sections sections, queue_ptr stream) { - GGML_ASSERT(ne0 % 2 == 0); - const sycl::range<3> block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1); - const int n_blocks_y = ceil_div(ne0, (2 * SYCL_ROPE_BLOCK_SIZE)); - const sycl::range<3> grid_dims(1, n_blocks_y, nr); - const sycl::nd_range<3> nd_range(grid_dims * block_dims, block_dims); - - const float theta_scale = std::pow(freq_base, -2.0f / n_dims); - // Add FP16 capability check if T could be sycl::half - if constexpr (std::is_same_v) { - dpct::has_capability_or_fail(stream->get_device(), { sycl::aspect::fp16 }); - } - // launch kernel if (freq_factors == nullptr) { - stream->parallel_for(nd_range, [=](sycl::nd_item<3> item_ct1) { - rope_vision(x, dst, ne0, ne1, ne2, s1, s2, n_dims, pos, freq_scale, ext_factor, attn_factor, - corr_dims, theta_scale, freq_factors, sections, item_ct1); - }); + stream->parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + GGML_UNUSED(item_ct1); + rope_vision( + x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims, + pos, freq_scale, ext_factor, attn_factor, corr_dims, + theta_scale, freq_factors, sections); + }); } else { - stream->parallel_for(nd_range, [=](sycl::nd_item<3> item_ct1) { - rope_vision(x, dst, ne0, ne1, ne2, s1, s2, n_dims, pos, freq_scale, ext_factor, attn_factor, - corr_dims, theta_scale, freq_factors, sections, item_ct1); - }); + stream->parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + GGML_UNUSED(item_ct1); + rope_vision( + x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims, + pos, freq_scale, ext_factor, attn_factor, corr_dims, + theta_scale, freq_factors, sections); + }); } } -inline void ggml_sycl_op_rope(ggml_backend_sycl_context & ctx, ggml_tensor *dst) { +template +void ggml_sycl_op_rope_impl(ggml_backend_sycl_context &ctx, ggml_tensor *dst, + const ggml_tensor *set_rows = nullptr) { + const ggml_tensor *src0 = dst->src[0]; + const ggml_tensor *src1 = dst->src[1]; + const ggml_tensor *src2 = dst->src[2]; - GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32 || dst->src[0]->type == GGML_TYPE_F16); - GGML_ASSERT( dst->type == GGML_TYPE_F32 || dst->type == GGML_TYPE_F16); - GGML_ASSERT(dst->src[0]->type == dst->type); - const int64_t ne00 = dst->src[0]->ne[0]; // head dims - const int64_t ne01 = dst->src[0]->ne[1]; // num heads - const int64_t ne02 = dst->src[0]->ne[2]; // num heads - const int64_t nr = ggml_nrows(dst->src[0]); + const float *src0_d = (const float *)src0->data; + const float *src1_d = (const float *)src1->data; - const size_t s01 = dst->src[0]->nb[1] / ggml_type_size(dst->src[0]->type); - const size_t s02 = dst->src[0]->nb[2] / ggml_type_size(dst->src[0]->type); + void *dst_d = dst->data; + const int64_t *row_indices = nullptr; + ggml_type dst_type = dst->type; + int set_rows_stride = 0; + if (set_rows != nullptr) { + GGML_ASSERT(forward); + dst_d = set_rows->data; + row_indices = (const int64_t *)set_rows->src[1]->data; + dst_type = set_rows->type; + set_rows_stride = set_rows->nb[1] / ggml_type_size(set_rows->type); + } + dpct::queue_ptr stream = ctx.stream(); - //const int n_past = ((int32_t *) dst->op_params)[0]; - const int n_dims = ((int32_t *) dst->op_params)[1]; - const int mode = ((int32_t *) dst->op_params)[2]; - //const int n_ctx = ((int32_t *) dst->op_params)[3]; - const int n_ctx_orig = ((int32_t *) dst->op_params)[4]; + GGML_ASSERT(src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16); + GGML_ASSERT(dst->type == GGML_TYPE_F32 || dst->type == GGML_TYPE_F16); + GGML_ASSERT(src0->type == dst->type || + (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F16)); + + const int64_t ne00 = src0->ne[0]; // head dims + const int64_t ne01 = src0->ne[1]; // num heads + const int64_t ne02 = src0->ne[2]; // num heads + const int64_t nr = ggml_nrows(src0); + + const size_t s01 = src0->nb[1] / ggml_type_size(src0->type); + const size_t s02 = src0->nb[2] / ggml_type_size(src0->type); + const size_t s03 = src0->nb[3] / ggml_type_size(src0->type); + + const size_t s1 = dst->nb[1] / ggml_type_size(dst->type); + const size_t s2 = dst->nb[2] / ggml_type_size(dst->type); + const size_t s3 = dst->nb[3] / ggml_type_size(dst->type); + + const int n_dims = ((int32_t *)dst->op_params)[1]; + const int mode = ((int32_t *)dst->op_params)[2]; + const int n_ctx_orig = ((int32_t *)dst->op_params)[4]; mrope_sections sections; - // RoPE alteration for extended context float freq_base; float freq_scale; float ext_factor; @@ -382,13 +506,13 @@ inline void ggml_sycl_op_rope(ggml_backend_sycl_context & ctx, ggml_tensor *dst) float beta_fast; float beta_slow; - memcpy(&freq_base, (int32_t *) dst->op_params + 5, sizeof(float)); - memcpy(&freq_scale, (int32_t *) dst->op_params + 6, sizeof(float)); - memcpy(&ext_factor, (int32_t *) dst->op_params + 7, sizeof(float)); - memcpy(&attn_factor, (int32_t *) dst->op_params + 8, sizeof(float)); - memcpy(&beta_fast, (int32_t *) dst->op_params + 9, sizeof(float)); - memcpy(&beta_slow, (int32_t *) dst->op_params + 10, sizeof(float)); - memcpy(§ions.v, (int32_t *) dst->op_params + 11, sizeof(int)*4); + memcpy(&freq_base, (int32_t *)dst->op_params + 5, sizeof(float)); + memcpy(&freq_scale, (int32_t *)dst->op_params + 6, sizeof(float)); + memcpy(&ext_factor, (int32_t *)dst->op_params + 7, sizeof(float)); + memcpy(&attn_factor, (int32_t *)dst->op_params + 8, sizeof(float)); + memcpy(&beta_fast, (int32_t *)dst->op_params + 9, sizeof(float)); + memcpy(&beta_slow, (int32_t *)dst->op_params + 10, sizeof(float)); + memcpy(§ions.v, (int32_t *)dst->op_params + 11, sizeof(int) * 4); const bool is_neox = mode & GGML_ROPE_TYPE_NEOX; const bool is_mrope = mode & GGML_ROPE_TYPE_MROPE; @@ -396,82 +520,122 @@ inline void ggml_sycl_op_rope(ggml_backend_sycl_context & ctx, ggml_tensor *dst) const bool is_vision = mode == GGML_ROPE_TYPE_VISION; if (is_mrope) { - GGML_ASSERT(sections.v[0] > 0 || sections.v[1] > 0 || sections.v[2] > 0); + GGML_ASSERT(sections.v[0] > 0 || sections.v[1] > 0 || + sections.v[2] > 0); } if (is_vision) { - GGML_ASSERT(n_dims == ne00/2); + GGML_ASSERT(n_dims == ne00 / 2); } - const int32_t * pos = (const int32_t *) dst->src[1]->data; + const int32_t *pos = (const int32_t *)src1_d; - const float * freq_factors = nullptr; - if (dst->src[2] != nullptr) { - freq_factors = (const float *) dst->src[2]->data; + const float *freq_factors = nullptr; + if (src2 != nullptr) { + freq_factors = (const float *)src2->data; } rope_corr_dims corr_dims; - ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims.v); - - dpct::queue_ptr main_stream = ctx.stream(); - SYCL_CHECK(ggml_sycl_set_device(ctx.device)); + ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, + beta_slow, corr_dims.v); // compute if (is_neox) { GGML_SYCL_DEBUG("%s: neox path\n", __func__); - if (dst->src[0]->type == GGML_TYPE_F32) { - rope_neox_sycl((const float *) dst->src[0]->data, (float *) dst->data, ne00, ne01, s01, s02, n_dims, nr, - pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, main_stream); - } else if (dst->src[0]->type == GGML_TYPE_F16) { - rope_neox_sycl((const sycl::half *) dst->src[0]->data, (sycl::half *) dst->data, ne00, ne01, s01, s02, - n_dims, nr, pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, - main_stream); + if (src0->type == GGML_TYPE_F32 && dst_type == GGML_TYPE_F32) { + rope_neox_sycl( + (const float *)src0_d, (float *)dst_d, ne00, ne01, ne02, s01, + s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale, freq_base, + ext_factor, attn_factor, corr_dims, freq_factors, row_indices, + set_rows_stride, stream); + } else if (src0->type == GGML_TYPE_F32 && dst_type == GGML_TYPE_F16) { + rope_neox_sycl( + (const float *)src0_d, (sycl::half *)dst_d, ne00, ne01, ne02, + s01, s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale, + freq_base, ext_factor, attn_factor, corr_dims, freq_factors, + row_indices, set_rows_stride, stream); + } else if (src0->type == GGML_TYPE_F16 && dst_type == GGML_TYPE_F16) { + rope_neox_sycl( + (const sycl::half *)src0_d, (sycl::half *)dst_d, ne00, ne01, + ne02, s01, s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale, + freq_base, ext_factor, attn_factor, corr_dims, freq_factors, + row_indices, set_rows_stride, stream); } else { - GGML_ABORT("fatal error"); + GGML_ABORT("Fatal error: Tensor type unsupported!"); } } else if (is_mrope && !is_vision) { GGML_SYCL_DEBUG("%s: mrope path\n", __func__); - if (dst->src[0]->type == GGML_TYPE_F16) { - rope_multi_sycl((const sycl::half *)dst->src[0]->data, (sycl::half *)dst->data, ne00, ne01, ne02, s01, - s02, n_dims, nr, pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims, - freq_factors, sections, is_imrope, main_stream); - } else if (dst->src[0]->type == GGML_TYPE_F32) { - rope_multi_sycl((const float *) dst->src[0]->data, (float *) dst->data, ne00, ne01, ne02, s01, s02, n_dims, - nr, pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, sections, - is_imrope, main_stream); + if (src0->type == GGML_TYPE_F32) { + rope_multi_sycl((const float *)src0_d, (float *)dst_d, + ne00, ne01, ne02, s01, s02, s03, s1, s2, + s3, n_dims, nr, pos, freq_scale, freq_base, + ext_factor, attn_factor, corr_dims, + freq_factors, sections, is_imrope, stream); + } else if (src0->type == GGML_TYPE_F16) { + rope_multi_sycl( + (const sycl::half *)src0_d, (sycl::half *)dst_d, ne00, ne01, + ne02, s01, s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale, + freq_base, ext_factor, attn_factor, corr_dims, freq_factors, + sections, is_imrope, stream); } else { GGML_ABORT("Fatal error: Tensor type unsupported!"); } } else if (is_vision) { GGML_SYCL_DEBUG("%s: vision path\n", __func__); - if (dst->src[0]->type == GGML_TYPE_F16) { - rope_vision_sycl((const sycl::half *) dst->src[0]->data, (sycl::half *) dst->data, ne00, ne01, ne02, s01, - s02, n_dims, nr, pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims, - freq_factors, sections, main_stream); - } else if (dst->src[0]->type == GGML_TYPE_F32) { - rope_vision_sycl((const float *) dst->src[0]->data, (float *) dst->data, ne00, ne01, ne02, s01, s02, n_dims, - nr, pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, sections, - main_stream); + if (src0->type == GGML_TYPE_F32) { + rope_vision_sycl( + (const float *)src0_d, (float *)dst_d, ne00, ne01, ne02, s01, + s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale, freq_base, + ext_factor, attn_factor, corr_dims, freq_factors, sections, + stream); + } else if (src0->type == GGML_TYPE_F16) { + rope_vision_sycl( + (const sycl::half *)src0_d, (sycl::half *)dst_d, ne00, ne01, + ne02, s01, s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale, + freq_base, ext_factor, attn_factor, corr_dims, freq_factors, + sections, stream); } else { GGML_ABORT("Fatal error: Tensor type unsupported!"); } } else { GGML_SYCL_DEBUG("%s: norm path\n", __func__); - if (dst->src[0]->type == GGML_TYPE_F32) { - rope_norm_sycl((const float *) dst->src[0]->data, (float *) dst->data, ne00, ne01, s01, s02, n_dims, nr, - pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, main_stream); - } else if (dst->src[0]->type == GGML_TYPE_F16) { - rope_norm_sycl((const sycl::half *) dst->src[0]->data, (sycl::half *) dst->data, ne00, ne01, s01, s02, - n_dims, nr, pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, - main_stream); + if (src0->type == GGML_TYPE_F32 && dst_type == GGML_TYPE_F32) { + rope_norm_sycl( + (const float *)src0_d, (float *)dst_d, ne00, ne01, ne02, s01, + s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale, freq_base, + ext_factor, attn_factor, corr_dims, freq_factors, row_indices, + set_rows_stride, stream); + } else if (src0->type == GGML_TYPE_F32 && dst_type == GGML_TYPE_F16) { + rope_norm_sycl( + (const float *)src0_d, (sycl::half *)dst_d, ne00, ne01, ne02, + s01, s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale, + freq_base, ext_factor, attn_factor, corr_dims, freq_factors, + row_indices, set_rows_stride, stream); + } else if (src0->type == GGML_TYPE_F16 && dst_type == GGML_TYPE_F16) { + rope_norm_sycl( + (const sycl::half *)src0_d, (sycl::half *)dst_d, ne00, ne01, + ne02, s01, s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale, + freq_base, ext_factor, attn_factor, corr_dims, freq_factors, + row_indices, set_rows_stride, stream); } else { - GGML_ABORT("fatal error"); + GGML_ABORT("Fatal error: Tensor type unsupported!"); } } } -void ggml_sycl_rope(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { +void ggml_sycl_rope(ggml_backend_sycl_context &ctx, ggml_tensor *dst) { scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/3); - ggml_sycl_op_rope(ctx, dst); + + ggml_sycl_op_rope_impl(ctx, dst); } +void ggml_sycl_rope_back(ggml_backend_sycl_context &ctx, ggml_tensor *dst) { + scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/3); + ggml_sycl_op_rope_impl(ctx, dst); +} + +void ggml_sycl_rope_fused(ggml_backend_sycl_context &ctx, ggml_tensor *rope, + ggml_tensor *set_rows) { + scope_op_debug_print scope_dbg_print(__func__, rope, /*num_src=*/3); + ggml_sycl_op_rope_impl(ctx, rope, set_rows); +} diff --git a/ggml/src/ggml-sycl/rope.hpp b/ggml/src/ggml-sycl/rope.hpp index 8c7141aac5..b95a585808 100644 --- a/ggml/src/ggml-sycl/rope.hpp +++ b/ggml/src/ggml-sycl/rope.hpp @@ -15,6 +15,12 @@ #include "common.hpp" +#define SYCL_ROPE_BLOCK_SIZE 256 + void ggml_sycl_rope(ggml_backend_sycl_context & ctx, ggml_tensor *dst); +void ggml_sycl_rope_back(ggml_backend_sycl_context & ctx, ggml_tensor * dst); + +void ggml_sycl_rope_fused(ggml_backend_sycl_context & ctx, ggml_tensor * dst, ggml_tensor * set_rows); + #endif // GGML_SYCL_ROPE_HPP diff --git a/ggml/src/ggml-sycl/softmax.cpp b/ggml/src/ggml-sycl/softmax.cpp index 15d92e5e04..fdf9b843e0 100644 --- a/ggml/src/ggml-sycl/softmax.cpp +++ b/ggml/src/ggml-sycl/softmax.cpp @@ -102,7 +102,7 @@ static void soft_max_f32(const float * x, max_val = sycl::max(max_val, val); } // find the max value in the block - max_val = warp_reduce_max(max_val); + max_val = warp_reduce_max(max_val); if (block_size > WARP_SIZE) { if (warp_id == 0) { @@ -116,7 +116,7 @@ static void soft_max_f32(const float * x, item_ct1.barrier(); max_val = buf_iw[lane_id]; - max_val = warp_reduce_max(max_val); + max_val = warp_reduce_max(max_val); } float tmp = 0.0f; // partial sum @@ -133,7 +133,7 @@ static void soft_max_f32(const float * x, vals[col] = val; } // find the sum of exps in the block - tmp = warp_reduce_sum(tmp); + tmp = warp_reduce_sum(tmp); if (block_size > WARP_SIZE) { item_ct1.barrier(); if (warp_id == 0) { @@ -153,7 +153,7 @@ static void soft_max_f32(const float * x, for (size_t i = 1; i < nreduce; i += 1) { tmp += buf_iw[lane_id + i * WARP_SIZE]; } - tmp = warp_reduce_sum(tmp); + tmp = warp_reduce_sum(tmp); } if (sinks) { tmp += sycl::native::exp(sinks[i02] - max_val); @@ -191,7 +191,7 @@ static void soft_max_back_f32(const float *grad, const float *dstf, float *dst, dgf_dot += dstf[col]*grad[col]; } - dgf_dot = warp_reduce_sum(dgf_dot); + dgf_dot = warp_reduce_sum(dgf_dot); for (int col = tid; col < ncols; col += WARP_SIZE) { dst[col] = scale * (grad[col] - dgf_dot) * dstf[col]; diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq112-dv112.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq112-dv112.cpp new file mode 100644 index 0000000000..5c06d42fdb --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq112-dv112.cpp @@ -0,0 +1,5 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-tile.hpp" + +DECL_FATTN_TILE_CASE(112, 112); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq128-dv128.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq128-dv128.cpp new file mode 100644 index 0000000000..f74e1202b8 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq128-dv128.cpp @@ -0,0 +1,5 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-tile.hpp" + +DECL_FATTN_TILE_CASE(128, 128); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq256-dv256.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq256-dv256.cpp new file mode 100644 index 0000000000..b574fe9308 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq256-dv256.cpp @@ -0,0 +1,5 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-tile.hpp" + +DECL_FATTN_TILE_CASE(256, 256); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq40-dv40.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq40-dv40.cpp new file mode 100644 index 0000000000..8c8fb692c4 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq40-dv40.cpp @@ -0,0 +1,5 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-tile.hpp" + +DECL_FATTN_TILE_CASE(40, 40); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq576-dv512.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq576-dv512.cpp new file mode 100644 index 0000000000..f218552e85 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq576-dv512.cpp @@ -0,0 +1,5 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-tile.hpp" + +DECL_FATTN_TILE_CASE(576, 512); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq64-dv64.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq64-dv64.cpp new file mode 100644 index 0000000000..99303a53a3 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq64-dv64.cpp @@ -0,0 +1,5 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-tile.hpp" + +DECL_FATTN_TILE_CASE(64, 64); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq72-dv72.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq72-dv72.cpp new file mode 100644 index 0000000000..50592768af --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq72-dv72.cpp @@ -0,0 +1,5 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-tile.hpp" + +DECL_FATTN_TILE_CASE(72, 72); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq80-dv80.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq80-dv80.cpp new file mode 100644 index 0000000000..74f1ea5e90 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq80-dv80.cpp @@ -0,0 +1,5 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-tile.hpp" + +DECL_FATTN_TILE_CASE(80, 80); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq96-dv96.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq96-dv96.cpp new file mode 100644 index 0000000000..cefb46dddc --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq96-dv96.cpp @@ -0,0 +1,5 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-tile.hpp" + +DECL_FATTN_TILE_CASE(96, 96); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-f16.cpp new file mode 100644 index 0000000000..32cf4f2859 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-f16.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_F16); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_0.cpp new file mode 100644 index 0000000000..a61a19021b --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q4_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_1.cpp new file mode 100644 index 0000000000..63b74fb347 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q4_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_0.cpp new file mode 100644 index 0000000000..46e2d9853c --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q5_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_1.cpp new file mode 100644 index 0000000000..7aabb6ff6e --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q5_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q8_0.cpp new file mode 100644 index 0000000000..148ea217f6 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q8_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q8_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-f16.cpp new file mode 100644 index 0000000000..4b169dbcdb --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-f16.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_F16); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_0.cpp new file mode 100644 index 0000000000..79f530b181 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_1.cpp new file mode 100644 index 0000000000..2f7db51ce8 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_0.cpp new file mode 100644 index 0000000000..9e3bf0b14a --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_1.cpp new file mode 100644 index 0000000000..18081879ce --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q8_0.cpp new file mode 100644 index 0000000000..1c387b0d87 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q8_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-f16.cpp new file mode 100644 index 0000000000..f005b3762c --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-f16.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_F16); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_0.cpp new file mode 100644 index 0000000000..3553b1cdd1 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_1.cpp new file mode 100644 index 0000000000..687ec56711 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_0.cpp new file mode 100644 index 0000000000..2663bfe746 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_1.cpp new file mode 100644 index 0000000000..641b7c7ae2 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q8_0.cpp new file mode 100644 index 0000000000..3d3181d471 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q8_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-f16.cpp new file mode 100644 index 0000000000..85d5026ad4 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-f16.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_F16); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_0.cpp new file mode 100644 index 0000000000..1e81401a2c --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_1.cpp new file mode 100644 index 0000000000..54251473f9 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_0.cpp new file mode 100644 index 0000000000..d418c1fb21 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_1.cpp new file mode 100644 index 0000000000..0f26cfabd0 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q8_0.cpp new file mode 100644 index 0000000000..4fb9872351 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q8_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-f16.cpp new file mode 100644 index 0000000000..85b79cd197 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-f16.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_F16); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_0.cpp new file mode 100644 index 0000000000..7348323b28 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_1.cpp new file mode 100644 index 0000000000..f19af2aa0b --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_0.cpp new file mode 100644 index 0000000000..d7075bac60 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_1.cpp new file mode 100644 index 0000000000..627f9a5775 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q8_0.cpp new file mode 100644 index 0000000000..23304eecd3 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q8_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-f16.cpp new file mode 100644 index 0000000000..95acb5d4fb --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-f16.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_F16); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_0.cpp new file mode 100644 index 0000000000..5e88f4bab8 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_1.cpp new file mode 100644 index 0000000000..69f297feb0 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_0.cpp new file mode 100644 index 0000000000..455842a942 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_1.cpp new file mode 100644 index 0000000000..f7ef739157 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q8_0.cpp new file mode 100644 index 0000000000..1c633bdf2f --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q8_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0); diff --git a/ggml/src/ggml-sycl/upscale.cpp b/ggml/src/ggml-sycl/upscale.cpp new file mode 100644 index 0000000000..18c743de44 --- /dev/null +++ b/ggml/src/ggml-sycl/upscale.cpp @@ -0,0 +1,410 @@ +#include "upscale.hpp" + +static void upscale_f32(const float * x, float * dst, + const int nb00, const int nb01, const int nb02, const int nb03, + const int ne10, const int ne11, const int ne12, const int ne13, + const float sf0, const float sf1, const float sf2, const float sf3) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + int index = item_ct1.get_local_id(2) + item_ct1.get_group(2) * item_ct1.get_local_range(2); + if (index >= ne10 * ne11 * ne12 * ne13) { + return; + } + + int i10 = index % ne10; + int i11 = (index / ne10) % ne11; + int i12 = (index / (ne10 * ne11)) % ne12; + int i13 = (index / (ne10 * ne11 * ne12)) % ne13; + + int i00 = i10 / sf0; + int i01 = i11 / sf1; + int i02 = i12 / sf2; + int i03 = i13 / sf3; + + dst[index] = *((const float*)((const char*)x + i03 * nb03 + i02 * nb02 + + i01 * nb01 + i00 * nb00)); +} + +static void upscale_f32_bilinear(const float * x, float * dst, + const int nb00, const int nb01, const int nb02, const int nb03, + const int ne00_src, const int ne01_src, + const int ne10_dst, const int ne11_dst, const int ne12_dst, const int ne13_dst, + const float sf0, const float sf1, const float sf2, const float sf3, + const float pixel_offset) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const int64_t index = item_ct1.get_local_id(2) + + item_ct1.get_group(2) * item_ct1.get_local_range(2); + const int64_t dst_total_elements = ne10_dst * ne11_dst * ne12_dst * ne13_dst; + + if (index >= dst_total_elements) { + return; + } + + const int i10_dst = index % ne10_dst; + const int i11_dst = (index / ne10_dst) % ne11_dst; + const int i12_dst = (index / (ne10_dst * ne11_dst)) % ne12_dst; + const int i13_dst = index / (ne10_dst * ne11_dst * ne12_dst); + + const int i02_src = (int)(i12_dst / sf2); + const int i03_src = (int)(i13_dst / sf3); + + const float y_src_f = ((float)i11_dst + pixel_offset) / sf1 - pixel_offset; + int y0_src = (int) sycl::floor((float) y_src_f); + int y1_src = y0_src + 1; + + y0_src = sycl::max(0, sycl::min(y0_src, ne01_src - 1)); + y1_src = sycl::max(0, sycl::min(y1_src, ne01_src - 1)); + + float dy = y_src_f - (float)y0_src; + dy = sycl::max(0.0f, sycl::min(dy, 1.0f)); + + float x_src_f = ((float)i10_dst + pixel_offset) / sf0 - pixel_offset; + int x0_src = (int) sycl::floor(x_src_f); + int x1_src = x0_src + 1; + + x0_src = sycl::max(0, sycl::min(x0_src, ne00_src - 1)); + x1_src = sycl::max(0, sycl::min(x1_src, ne00_src - 1)); + + float dx = x_src_f - (float)x0_src; + dx = sycl::max(0.0f, sycl::min(dx, 1.0f)); + + const float* p_a = + (const float*)((const char*)x + (int64_t)x0_src * nb00 + + (int64_t)y0_src * nb01 + (int64_t)i02_src * nb02 + + (int64_t)i03_src * nb03); + const float* p_b = + (const float*)((const char*)x + (int64_t)x1_src * nb00 + + (int64_t)y0_src * nb01 + (int64_t)i02_src * nb02 + + (int64_t)i03_src * nb03); + const float* p_c = + (const float*)((const char*)x + (int64_t)x0_src * nb00 + + (int64_t)y1_src * nb01 + (int64_t)i02_src * nb02 + + (int64_t)i03_src * nb03); + const float* p_d = + (const float*)((const char*)x + (int64_t)x1_src * nb00 + + (int64_t)y1_src * nb01 + (int64_t)i02_src * nb02 + + (int64_t)i03_src * nb03); + + const float val_a = *p_a; + const float val_b = *p_b; + const float val_c = *p_c; + const float val_d = *p_d; + + float result = val_a * (1.0f - dx) * (1.0f - dy) + + val_b * dx * (1.0f - dy) + + val_c * (1.0f - dx) * dy + + val_d * dx * dy; + + dst[index] = result; +} + +// Similar to F.interpolate(..., mode="bilinear", align_corners=False, antialias=True) +// https://github.com/pytorch/pytorch/blob/8871ff29b743948d1225389d5b7068f37b22750b/aten/src/ATen/native/cpu/UpSampleKernel.cpp +static void upscale_f32_bilinear_antialias(const float * src0, + float * dst, + const int nb00, + const int nb01, + const int nb02, + const int nb03, + const int ne00_src, + const int ne01_src, + const int ne10_dst, + const int ne11_dst, + const int ne12_dst, + const int ne13_dst, + const float sf0, + const float sf1, + const float sf2, + const float sf3, + const float pixel_offset) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const int64_t index = item_ct1.get_local_id(2) + + item_ct1.get_group(2) * item_ct1.get_local_range(2); + const int64_t dst_total_elements = ne10_dst * ne11_dst * ne12_dst * ne13_dst; + + if (index >= dst_total_elements) { + return; + } + + const int i10_dst = index % ne10_dst; + const int i11_dst = (index / ne10_dst) % ne11_dst; + const int i12_dst = (index / (ne10_dst * ne11_dst)) % ne12_dst; + const int i13_dst = index / (ne10_dst * ne11_dst * ne12_dst); + + const int i02_src = (int)(i12_dst / sf2); + const int i03_src = (int)(i13_dst / sf3); + + const float y = ((float)i11_dst + pixel_offset) / sf1; + const float x = ((float)i10_dst + pixel_offset) / sf0; + + // support and invscale, minimum 1 pixel for bilinear + const float support1 = sycl::max(1.0f / sf1, 1.0f); + const float invscale1 = 1.0f / support1; + const float support0 = sycl::max(1.0f / sf0, 1.0f); + const float invscale0 = 1.0f / support0; + + // the range of source pixels that contribute + const int64_t x_min = sycl::max(int64_t(0), int64_t(x - support0 + pixel_offset)); + const int64_t x_max = sycl::min(int64_t(ne00_src), int64_t(x + support0 + pixel_offset)); + const int64_t y_min = sycl::max(int64_t(0), int64_t(y - support1 + pixel_offset)); + const int64_t y_max = sycl::min(int64_t(ne01_src), int64_t(y + support1 + pixel_offset)); + + // bilinear filter with antialiasing + float val = 0.0f; + float total_weight = 0.0f; + + auto triangle_filter = [](float x) -> float { + return sycl::max(1.0f - sycl::fabs(x), 0.0f); + }; + + for (int64_t sy = y_min; sy < y_max; sy++) { + const float weight_y = triangle_filter((sy - y + pixel_offset) * invscale1); + + for (int64_t sx = x_min; sx < x_max; sx++) { + const float weight_x = triangle_filter((sx - x + pixel_offset) * invscale0); + const float weight = weight_x * weight_y; + + if (weight <= 0.0f) { + continue; + } + + const float pixel = + *(const float*)((const char*)src0 + sx * nb00 + sy * nb01 + + i02_src * nb02 + i03_src * nb03); + val += pixel * weight; + total_weight += weight; + } + } + + if (total_weight > 0.0f) { + val /= total_weight; + } + + dst[index] = val; +} + +namespace bicubic_interpolation { +static float weight1(float x, const float &a) { return ((a + 2) * x - (a + 3)) * x * x + 1; }; +static float weight2(float x, const float &a) { return ((a * x - 5 * a) * x + 8 * a) * x - 4 * a; }; + +static float bicubic(float p0, float p1, float p2, float p3, float x, float a) { + const float w0 = weight2(x + 1, a); + const float w1 = weight1(x + 0, a); + const float w2 = weight1(1 - x, a); + const float w3 = weight2(2 - x, a); + return p0 * w0 + p1 * w1 + p2 * w2 + p3 * w3; +}; + +} + +static void upscale_f32_bicubic(const float * x, float * dst, + const int nb00, const int nb01, const int nb02, const int nb03, + const int ne00_src, const int ne01_src, + const int ne10_dst, const int ne11_dst, const int ne12_dst, const int ne13_dst, + const float sf0, const float sf1, const float sf2, const float sf3, + const float pixel_offset) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const float a = -0.75f; + using bicubic_interpolation::bicubic; + + const int64_t index = item_ct1.get_local_id(2) + + item_ct1.get_group(2) * item_ct1.get_local_range(2); + const int64_t dst_total_elements = + ne10_dst * ne11_dst * ne12_dst * ne13_dst; + + if (index >= dst_total_elements) { + return; + } + + const int i10_dst = index % ne10_dst; + const int i11_dst = (index / ne10_dst) % ne11_dst; + const int i12_dst = (index / (ne10_dst * ne11_dst)) % ne12_dst; + const int i13_dst = index / (ne10_dst * ne11_dst * ne12_dst); + + const int i02_src = (int)(i12_dst / sf2); + const int i03_src = (int)(i13_dst / sf3); + + const float y_src_f = ((float)i11_dst + pixel_offset) / sf1 - pixel_offset; + const int y0_src = (int) sycl::floor((float) y_src_f); + const float dy = y_src_f - (float)y0_src; + + const float x_src_f = ((float)i10_dst + pixel_offset) / sf0 - pixel_offset; + const int x0_src = (int) sycl::floor((float) x_src_f); + const float dx = x_src_f - (float)x0_src; + + const char * x_base = (const char *)x + (int64_t)i02_src * nb02 + (int64_t)i03_src * nb03; + + auto load = [=](int x_off, int y_off) -> float { + int i00_src = sycl::max(0, sycl::min(x0_src + x_off, ne00_src - 1)); + int i01_src = sycl::max(0, sycl::min(y0_src + y_off, ne01_src - 1)); + return *(const float *)(x_base + (int64_t)i00_src * nb00 + (int64_t)i01_src * nb01); + }; + + const float result = bicubic( + bicubic(load(-1, -1), load(0, -1), load(1, -1), load(2, -1), dx, a), + bicubic(load(-1, 0), load(0, 0), load(1, 0), load(2, 0), dx, a), + bicubic(load(-1, 1), load(0, 1), load(1, 1), load(2, 1), dx, a), + bicubic(load(-1, 2), load(0, 2), load(1, 2), load(2, 2), dx, a), + dy, + a); + + dst[index] = result; +} + +static void upscale_f32_sycl(const float * x, + float * dst, + const int nb00, + const int nb01, + const int nb02, + const int nb03, + const int ne10, + const int ne11, + const int ne12, + const int ne13, + const float sf0, + const float sf1, + const float sf2, + const float sf3, + dpct::queue_ptr stream) { + const int64_t dst_size = ne10 * ne11 * ne12 * ne13; + const int64_t num_blocks = (dst_size + SYCL_UPSCALE_BLOCK_SIZE - 1) / SYCL_UPSCALE_BLOCK_SIZE; + + stream->parallel_for( + sycl::nd_range<3>( + sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE), + sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE)), + [=](sycl::nd_item<3> item_ct1) { + upscale_f32(x, dst, nb00, nb01, nb02, nb03, ne10, ne11, ne12, ne13, sf0, sf1, sf2, sf3); + }); +} + +static void upscale_f32_bilinear_sycl(const float * x, + float * dst, + const int nb00, + const int nb01, + const int nb02, + const int nb03, + const int ne00_src, + const int ne01_src, + const int ne10_dst, + const int ne11_dst, + const int ne12_dst, + const int ne13_dst, + const float sf0, + const float sf1, + const float sf2, + const float sf3, + const float pixel_offset, + bool antialias, + dpct::queue_ptr stream) { + const int64_t dst_size = ne10_dst * ne11_dst * ne12_dst * ne13_dst; + const int64_t num_blocks = (dst_size + SYCL_UPSCALE_BLOCK_SIZE - 1) / SYCL_UPSCALE_BLOCK_SIZE; + + if (antialias) { + stream->parallel_for( + sycl::nd_range<3>( + sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE), + sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE)), + [=](sycl::nd_item<3> item_ct1) { + upscale_f32_bilinear_antialias( + x, dst, nb00, nb01, nb02, nb03, ne00_src, ne01_src, ne10_dst, ne11_dst, + ne12_dst, ne13_dst, sf0, sf1, sf2, sf3, pixel_offset); + }); + } else { + stream->parallel_for( + sycl::nd_range<3>( + sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE), + sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE)), + [=](sycl::nd_item<3> item_ct1) { + upscale_f32_bilinear( + x, dst, nb00, nb01, nb02, nb03, ne00_src, ne01_src, ne10_dst, ne11_dst, ne12_dst, + ne13_dst, sf0, sf1, sf2, sf3, pixel_offset); + }); + } +} + +static void upscale_f32_bicubic_sycl(const float * x, + float * dst, + const int nb00, + const int nb01, + const int nb02, + const int nb03, + const int ne00_src, + const int ne01_src, + const int ne10_dst, + const int ne11_dst, + const int ne12_dst, + const int ne13_dst, + const float sf0, + const float sf1, + const float sf2, + const float sf3, + const float pixel_offset, + dpct::queue_ptr stream) { + const int64_t dst_size = ne10_dst * ne11_dst * ne12_dst * ne13_dst; + const int64_t num_blocks = (dst_size + SYCL_UPSCALE_BLOCK_SIZE - 1) / SYCL_UPSCALE_BLOCK_SIZE; + + { + stream->submit([&](sycl::handler & cgh) { + cgh.parallel_for( + sycl::nd_range<3>( + sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE), + sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE)), + [=](sycl::nd_item<3> item_ct1) { + upscale_f32_bicubic( + x, dst, nb00, nb01, nb02, nb03, ne00_src, ne01_src, ne10_dst, ne11_dst, + ne12_dst, ne13_dst, sf0, sf1, sf2, sf3, pixel_offset); + }); + }); + } +} + +void ggml_sycl_op_upscale(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + const ggml_tensor * src0 = dst->src[0]; + const float * src0_d = (const float *)src0->data; + float * dst_d = (float *)dst->data; + dpct::queue_ptr stream = ctx.stream(); + + GGML_ASSERT(src0->type == GGML_TYPE_F32); + GGML_ASSERT( dst->type == GGML_TYPE_F32); + + const int mode_flags = dst->op_params[0]; + const ggml_scale_mode mode = (ggml_scale_mode)(mode_flags & 0xFF); + + float sf0 = (float)dst->ne[0]/src0->ne[0]; + float sf1 = (float)dst->ne[1]/src0->ne[1]; + float sf2 = (float)dst->ne[2]/src0->ne[2]; + const float sf3 = (float)dst->ne[3]/src0->ne[3]; + + float pixel_offset = 0.5f; + if (mode_flags & GGML_SCALE_FLAG_ALIGN_CORNERS) { + sf0 = dst->ne[0] > 1 && src0->ne[0] > 1 + ? (float)(dst->ne[0] - 1) / (src0->ne[0] - 1) + : sf0; + sf1 = dst->ne[1] > 1 && src0->ne[1] > 1 + ? (float)(dst->ne[1] - 1) / (src0->ne[1] - 1) + : sf1; + pixel_offset = 0.0f; + } + + if (mode == GGML_SCALE_MODE_NEAREST) { + upscale_f32_sycl( + src0_d, dst_d, src0->nb[0], src0->nb[1], src0->nb[2], src0->nb[3], + dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], sf0, sf1, sf2, sf3, stream); + } else if (mode == GGML_SCALE_MODE_BILINEAR) { + const bool antialias = (mode_flags & GGML_SCALE_FLAG_ANTIALIAS); + upscale_f32_bilinear_sycl( + src0_d, dst_d, src0->nb[0], src0->nb[1], src0->nb[2], src0->nb[3], + src0->ne[0], src0->ne[1], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], + sf0, sf1, sf2, sf3, pixel_offset, antialias, stream); + } else if (mode == GGML_SCALE_MODE_BICUBIC) { + upscale_f32_bicubic_sycl( + src0_d, dst_d, src0->nb[0], src0->nb[1], src0->nb[2], src0->nb[3], + src0->ne[0], src0->ne[1], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], + sf0, sf1, sf2, sf3, pixel_offset, stream); + } +} + +void ggml_sycl_upscale(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/1); + ggml_sycl_op_upscale(ctx, dst); +} diff --git a/ggml/src/ggml-sycl/upscale.hpp b/ggml/src/ggml-sycl/upscale.hpp new file mode 100644 index 0000000000..c36c1bdc97 --- /dev/null +++ b/ggml/src/ggml-sycl/upscale.hpp @@ -0,0 +1,9 @@ +#pragma once + +#include +#include "dpct/helper.hpp" +#include "common.hpp" + +#define SYCL_UPSCALE_BLOCK_SIZE 256 + +void ggml_sycl_upscale(ggml_backend_sycl_context & ctx, ggml_tensor * dst); diff --git a/ggml/src/ggml-sycl/vecdotq.hpp b/ggml/src/ggml-sycl/vecdotq.hpp index 43482b3672..9a267d85a0 100644 --- a/ggml/src/ggml-sycl/vecdotq.hpp +++ b/ggml/src/ggml-sycl/vecdotq.hpp @@ -650,6 +650,19 @@ static __dpct_inline__ float vec_dot_q8_0_q8_1_impl(const int *v, const int *u, return d8_0*d8_1 * sumi; } +template +static __dpct_inline__ T vec_dot_q8_0_q8_1_impl(const int * v, const int * u, const T & d8_0, const T & d8_1) { + int sumi = 0; + +#pragma unroll + for (int i = 0; i < vdr; ++i) { + // SIMD dot product of quantized values + sumi = ggml_sycl_dp4a(v[i], u[i], sumi); + } + + return d8_0*d8_1 * ((T) sumi); +} + template static __dpct_inline__ float vec_dot_q8_1_q8_1_impl(const int *v, const int *u, const sycl::half2 &dm8, diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp index 23d6d39e0e..221e6fa04e 100644 --- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp +++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp @@ -27,6 +27,7 @@ DispatchLoaderDynamic & ggml_vk_default_dispatcher(); #include #include #include +#include #include #include #include @@ -188,6 +189,12 @@ struct ggml_backend_vk_buffer_type_context { struct vk_queue; +struct vk_command_buffer { + vk::CommandBuffer buf; + uint64_t use_counter = 0; + bool in_use = false; +}; + // Stores command pool/buffers. There's an instance of this // for each (context,queue) pair and for each (device,queue) pair. struct vk_command_pool { @@ -195,10 +202,16 @@ struct vk_command_pool { void destroy(vk::Device& device); vk::CommandPool pool; - uint32_t cmd_buffer_idx; - std::vector cmd_buffers; + // Using deque so the pointers to command buffers + // remain valid even if we add more + std::deque cmd_buffers; vk_queue *q; + + size_t buffers_in_use() const { + return std::count_if(cmd_buffers.begin(), cmd_buffers.end(), + [](const auto& cb) { return cb.in_use; }); + } }; // Prevent simultaneous submissions to the same queue. @@ -744,6 +757,7 @@ struct vk_device_struct { // [src/dst 0=fp32,1=fp16] vk_pipeline pipeline_exp[2]; + vk_pipeline pipeline_elu[2]; vk_pipeline pipeline_gelu[2]; vk_pipeline pipeline_gelu_erf[2]; vk_pipeline pipeline_gelu_quick[2]; @@ -762,6 +776,7 @@ struct vk_device_struct { vk_pipeline pipeline_ceil[2]; vk_pipeline pipeline_floor[2]; vk_pipeline pipeline_trunc[2]; + vk_pipeline pipeline_sgn[2]; vk_pipeline pipeline_add1_f16_f16; vk_pipeline pipeline_add1_f16_f32; @@ -811,6 +826,8 @@ struct vk_device_struct { vk_pipeline pipeline_pool2d_f32; vk_pipeline pipeline_rwkv_wkv6_f32; vk_pipeline pipeline_rwkv_wkv7_f32; + // [size_idx][kda] where size_idx: 0=d32, 1=d64, 2=d128 + vk_pipeline pipeline_gated_delta_net[3][2]; vk_pipeline pipeline_ssm_scan_f32_d128; vk_pipeline pipeline_ssm_scan_f32_d256; vk_pipeline pipeline_ssm_conv_f32; @@ -876,10 +893,12 @@ struct vk_device_struct { }; void vk_command_pool::init(vk_device& device, vk_queue *q_) { - cmd_buffer_idx = 0; + cmd_buffers.clear(); q = q_; - vk::CommandPoolCreateInfo command_pool_create_info(vk::CommandPoolCreateFlags(VK_COMMAND_POOL_CREATE_TRANSIENT_BIT), q->queue_family_index); + vk::CommandPoolCreateInfo command_pool_create_info( + vk::CommandPoolCreateFlags(VK_COMMAND_POOL_CREATE_TRANSIENT_BIT | VK_COMMAND_POOL_CREATE_RESET_COMMAND_BUFFER_BIT), + q->queue_family_index); pool = device->device.createCommandPool(command_pool_create_info); } @@ -920,22 +939,28 @@ struct vk_subbuffer { } }; -// vk_event is used for the event-related backend interfaces. It uses 'event' for -// event_wait and 'fence' for event_synchronize. Polling on an event for -// event_synchronize wouldn't be sufficient to wait for command buffers to complete, -// and would lead to validation errors. -struct vk_event { - vk::Event event; - vk::Fence fence; -}; - struct vk_semaphore { vk::Semaphore s; uint64_t value; }; +// vk_event is used for the event-related backend interfaces. It uses vk::Events for +// event_wait and a timeline semaphore for event_synchronize. Polling on an event for +// event_synchronize wouldn't be sufficient to wait for command buffers to complete, +// and would lead to validation errors. +struct vk_event { + std::vector events_free; // Events available for reuse + std::vector events_submitted; // Events that are fully submitted and can be reused on next synchronize + vk::Event event; + bool has_event; + + vk_semaphore tl_semaphore; + vk_command_buffer* cmd_buffer = nullptr; + uint64_t cmd_buffer_use_counter = 0; +}; + struct vk_submission { - vk::CommandBuffer buffer; + vk_command_buffer* buffer = nullptr; std::vector wait_semaphores; std::vector signal_semaphores; }; @@ -1437,6 +1462,18 @@ struct vk_op_rwkv_wkv7_push_constants { uint32_t C; uint32_t H; }; +struct vk_op_gated_delta_net_push_constants { + uint32_t H; + uint32_t n_tokens; + uint32_t n_seqs; + uint32_t s_off; + uint32_t sq1, sq2, sq3; + uint32_t sv1, sv2, sv3; + uint32_t sb1, sb2, sb3; + uint32_t neq1, rq3; + float scale; +}; + struct vk_op_ssm_scan_push_constants { uint32_t nb02, nb03, nb12, nb13; uint32_t nb21, nb22, nb31; @@ -2281,25 +2318,15 @@ static void ggml_pipeline_allocate_descriptor_sets(ggml_backend_vk_context * ctx } } -static vk::CommandBuffer ggml_vk_create_cmd_buffer(vk_device& device, vk_command_pool& p) { +static vk_command_buffer* ggml_vk_create_cmd_buffer(vk_device& device, vk_command_pool& p) { VK_LOG_DEBUG("ggml_vk_create_cmd_buffer()"); - - if (p.cmd_buffers.size() > p.cmd_buffer_idx) { - // Reuse command buffer - return p.cmd_buffers[p.cmd_buffer_idx++]; - } - vk::CommandBufferAllocateInfo command_buffer_alloc_info( p.pool, vk::CommandBufferLevel::ePrimary, 1); const std::vector cmd_buffers = device->device.allocateCommandBuffers(command_buffer_alloc_info); - auto buf = cmd_buffers.front(); - - p.cmd_buffers.push_back(buf); - p.cmd_buffer_idx++; - - return buf; + p.cmd_buffers.push_back({ cmd_buffers.front(), 0, true }); + return &p.cmd_buffers[p.cmd_buffers.size()-1]; } static void ggml_vk_submit(vk_context& ctx, vk::Fence fence) { @@ -2366,7 +2393,7 @@ static void ggml_vk_submit(vk_context& ctx, vk::Fence fence) { tl_wait_semaphores[idx].data(), stage_flags[idx].data(), 1, - &submission.buffer, + &submission.buffer->buf, (uint32_t) submission.signal_semaphores.size(), tl_signal_semaphores[idx].data(), }; @@ -2490,7 +2517,11 @@ static void ggml_vk_command_pool_cleanup(vk_device& device, vk_command_pool& p) // Requires command buffers to be done device->device.resetCommandPool(p.pool); - p.cmd_buffer_idx = 0; + // Don't clear the command buffers and mark them as not in use. + // This allows us to reuse them + for (auto& cmd_buffer : p.cmd_buffers) { + cmd_buffer.in_use = false; + } } static void ggml_vk_queue_command_pools_cleanup(vk_device& device) { @@ -2499,10 +2530,10 @@ static void ggml_vk_queue_command_pools_cleanup(vk_device& device) { // Arbitrary frequency to cleanup/reuse command buffers static constexpr uint32_t cleanup_frequency = 10; - if (device->compute_queue.cmd_pool.cmd_buffer_idx >= cleanup_frequency) { + if (device->compute_queue.cmd_pool.buffers_in_use() >= cleanup_frequency) { ggml_vk_command_pool_cleanup(device, device->compute_queue.cmd_pool); } - if (device->transfer_queue.cmd_pool.cmd_buffer_idx >= cleanup_frequency) { + if (device->transfer_queue.cmd_pool.buffers_in_use() >= cleanup_frequency) { ggml_vk_command_pool_cleanup(device, device->transfer_queue.cmd_pool); } } @@ -2750,7 +2781,7 @@ static void ggml_vk_sync_buffers(ggml_backend_vk_context* ctx, vk_context& subct ctx->prealloc_x_need_sync = ctx->prealloc_y_need_sync = ctx->prealloc_split_k_need_sync = false; } - subctx->s->buffer.pipelineBarrier( + subctx->s->buffer->buf.pipelineBarrier( subctx->p->q->stage_flags, subctx->p->q->stage_flags, {}, @@ -2763,10 +2794,19 @@ static void ggml_vk_sync_buffers(ggml_backend_vk_context* ctx, vk_context& subct ); } +static void ggml_vk_reset_event(vk_context& ctx, vk::Event& event) { + VK_LOG_DEBUG("ggml_vk_set_event()"); + + ctx->s->buffer->buf.resetEvent( + event, + ctx->p->q->stage_flags + ); +} + static void ggml_vk_set_event(vk_context& ctx, vk::Event& event) { VK_LOG_DEBUG("ggml_vk_set_event()"); - ctx->s->buffer.setEvent( + ctx->s->buffer->buf.setEvent( event, ctx->p->q->stage_flags ); @@ -2778,7 +2818,7 @@ static void ggml_vk_wait_events(vk_context& ctx, std::vector&& events return; } - ctx->s->buffer.waitEvents( + ctx->s->buffer->buf.waitEvents( events, ctx->p->q->stage_flags, ctx->p->q->stage_flags, @@ -4373,6 +4413,7 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_ ## name [0], #name "_f32", name ## _f32_len, name ## _f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); \ ggml_vk_create_pipeline(device, device->pipeline_ ## name [1], #name "_f16", name ## _f16_len, name ## _f16_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + CREATE_UNARY(elu) CREATE_UNARY(gelu) CREATE_UNARY(gelu_erf) CREATE_UNARY(gelu_quick) @@ -4391,6 +4432,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_UNARY(ceil) CREATE_UNARY(floor) CREATE_UNARY(trunc) + CREATE_UNARY(sgn) #undef CREATE_UNARY #define CREATE_UNARY_RTE(name) \ @@ -4555,6 +4597,53 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_rwkv_wkv7_f32, "rwkv_wkv7_f32", rwkv_wkv7_f32_len, rwkv_wkv7_f32_data, "main", 8, sizeof(vk_op_rwkv_wkv7_push_constants), {1, 1, 1}, {device->subgroup_size}, 1); + { + const uint32_t gdn_sizes[] = {32, 64, 128}; + const char * gdn_names[][2] = { + {"gated_delta_net_f32_d32", "gated_delta_net_f32_d32_kda"}, + {"gated_delta_net_f32_d64", "gated_delta_net_f32_d64_kda"}, + {"gated_delta_net_f32_d128", "gated_delta_net_f32_d128_kda"}, + }; + const bool use_subgroup_reduce = device->subgroup_arithmetic; + for (uint32_t si = 0; si < 3; si++) { + const uint32_t S_V = gdn_sizes[si]; + GGML_ASSERT(is_pow2(S_V)); + + uint32_t lanes_per_column; + if (S_V >= 128u && device->subgroup_clustered) { + lanes_per_column = 8u; + } else { + // Use largest power-of-two that divides both S_V and subgroup_size so that + // (1) S_V % lanes_per_column == 0 and (2) S_V % (subgroup_size / lanes_per_column) == 0. + // This means we don't need extra bounds checking logic in the shader. + lanes_per_column = std::min(S_V, device->subgroup_size); + } + + const bool need_clustered_shader = lanes_per_column != 1 && (lanes_per_column < device->subgroup_size); + size_t gdn_len; + const void * gdn_data; + if (use_subgroup_reduce && need_clustered_shader) { + gdn_len = gated_delta_net_f32_len; + gdn_data = (const void *)gated_delta_net_f32_data; + } else if (use_subgroup_reduce) { + gdn_len = gated_delta_net_f32_nocluster_len; + gdn_data = (const void *)gated_delta_net_f32_nocluster_data; + } else { + gdn_len = gated_delta_net_f32_shmem_len; + gdn_data = (const void *)gated_delta_net_f32_shmem_data; + } + + const uint32_t cols_per_wg = device->subgroup_size / lanes_per_column; + const std::array wg_denoms = {1u, 1u, cols_per_wg}; + + for (uint32_t kda = 0; kda < 2; kda++) { + ggml_vk_create_pipeline(device, device->pipeline_gated_delta_net[si][kda], + gdn_names[si][kda], gdn_len, gdn_data, "main", 7, sizeof(vk_op_gated_delta_net_push_constants), + wg_denoms, {S_V, kda, device->subgroup_size, lanes_per_column}, 1, true, use_subgroup_reduce, device->subgroup_size); + } + } + } + if (device->subgroup_arithmetic && device->subgroup_require_full_support) { ggml_vk_create_pipeline(device, device->pipeline_ssm_scan_f32_d128, "ssm_scan_128_f32", ssm_scan_subgroup_f32_len, ssm_scan_subgroup_f32_data, "main", 8, sizeof(vk_op_ssm_scan_push_constants), {1, 1, 1}, {128, device->subgroup_size}, 1, true, true); ggml_vk_create_pipeline(device, device->pipeline_ssm_scan_f32_d256, "ssm_scan_256_f32", ssm_scan_subgroup_f32_len, ssm_scan_subgroup_f32_data, "main", 8, sizeof(vk_op_ssm_scan_push_constants), {1, 1, 1}, {256, device->subgroup_size}, 1, true, true); @@ -4563,7 +4652,7 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_ssm_scan_f32_d256, "ssm_scan_256_f32", ssm_scan_f32_len, ssm_scan_f32_data, "main", 8, sizeof(vk_op_ssm_scan_push_constants), {1, 1, 1}, {256, device->subgroup_size, 16}, 1, true, true); } - ggml_vk_create_pipeline(device, device->pipeline_ssm_conv_f32, "ssm_conv_f32", ssm_conv_f32_len, ssm_conv_f32_data, "main", 3, sizeof(vk_op_ssm_conv_push_constants), {32, 1, 1}, {32}, 1); + ggml_vk_create_pipeline(device, device->pipeline_ssm_conv_f32, "ssm_conv_f32", ssm_conv_f32_len, ssm_conv_f32_data, "main", 3, sizeof(vk_op_ssm_conv_push_constants), {32, 16, 1}, {32, 16}, 1); ggml_vk_create_pipeline(device, device->pipeline_opt_step_adamw_f32, "opt_step_adamw_f32", opt_step_adamw_f32_len, opt_step_adamw_f32_data, "main", 5, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); @@ -4937,8 +5026,11 @@ static vk_device ggml_vk_get_device(size_t idx) { std::vector queue_family_props = device->physical_device.getQueueFamilyProperties(); // Try to find a non-graphics compute queue and transfer-focused queues - const uint32_t compute_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eCompute, vk::QueueFlagBits::eGraphics, -1, 1); - const uint32_t transfer_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eTransfer, vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics, compute_queue_family_index, 1); + // Allow overriding avoiding the graphics queue because it can increase performance on RADV + const bool allow_graphics_queue = (getenv("GGML_VK_ALLOW_GRAPHICS_QUEUE") != nullptr); + const vk::QueueFlagBits graphics_flag = allow_graphics_queue ? (vk::QueueFlagBits)0 : vk::QueueFlagBits::eGraphics; + const uint32_t compute_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eCompute, graphics_flag, -1, 1); + const uint32_t transfer_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eTransfer, vk::QueueFlagBits::eCompute | graphics_flag, compute_queue_family_index, 1); const float priorities[] = { 1.0f, 1.0f }; device->single_queue = compute_queue_family_index == transfer_queue_family_index && queue_family_props[compute_queue_family_index].queueCount == 1; @@ -5397,7 +5489,8 @@ static vk_device ggml_vk_get_device(size_t idx) { ggml_vk_load_shaders(device); - const bool prefers_transfer_queue = device->vendor_id == VK_VENDOR_ID_AMD && device->architecture != AMD_GCN; + // Only use transfer queue on AMD non-GCN, when the graphics queue is not enabled + const bool prefers_transfer_queue = device->vendor_id == VK_VENDOR_ID_AMD && device->architecture != AMD_GCN && !allow_graphics_queue; if (!device->single_queue) { const uint32_t transfer_queue_index = compute_queue_family_index == transfer_queue_family_index ? 1 : 0; @@ -6344,13 +6437,25 @@ static vk_subbuffer ggml_vk_tensor_subbuffer( return vk_subbuffer{buffer, offset, size}; } +// Get a command buffer from pool. Create a new one if no reusable buffer is available +static vk_command_buffer* ggml_vk_get_or_create_cmd_buffer(vk_device& device, vk_command_pool& pool) { + for (auto& cmd_buffer : pool.cmd_buffers) { + if (!cmd_buffer.in_use) { + cmd_buffer.use_counter++; + cmd_buffer.in_use = true; + return &cmd_buffer; + } + } + return ggml_vk_create_cmd_buffer(device, pool); +} + static vk_submission ggml_vk_begin_submission(vk_device& device, vk_command_pool& p, bool one_time = true) { vk_submission s; - s.buffer = ggml_vk_create_cmd_buffer(device, p); + s.buffer = ggml_vk_get_or_create_cmd_buffer(device, p); if (one_time) { - s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + s.buffer->buf.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); } else { - s.buffer.begin({ vk::CommandBufferUsageFlags{} }); + s.buffer->buf.begin({ vk::CommandBufferUsageFlags{} }); } return s; @@ -6403,18 +6508,18 @@ static void ggml_vk_dispatch_pipeline(ggml_backend_vk_context* ctx, vk_context& vk::WriteDescriptorSet write_descriptor_set{ descriptor_set, 0, 0, pipeline->parameter_count, vk::DescriptorType::eStorageBuffer, nullptr, descriptor_buffer_infos.begin() }; ctx->device->device.updateDescriptorSets({ write_descriptor_set }, {}); - subctx->s->buffer.pushConstants(pipeline->layout, vk::ShaderStageFlagBits::eCompute, 0, push_constant_size(push_constants), push_constant_data(push_constants)); - subctx->s->buffer.bindPipeline(vk::PipelineBindPoint::eCompute, pipeline->pipeline); - subctx->s->buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, + subctx->s->buffer->buf.pushConstants(pipeline->layout, vk::ShaderStageFlagBits::eCompute, 0, push_constant_size(push_constants), push_constant_data(push_constants)); + subctx->s->buffer->buf.bindPipeline(vk::PipelineBindPoint::eCompute, pipeline->pipeline); + subctx->s->buffer->buf.bindDescriptorSets(vk::PipelineBindPoint::eCompute, pipeline->layout, 0, { descriptor_set }, {}); - subctx->s->buffer.dispatch(wg0, wg1, wg2); + subctx->s->buffer->buf.dispatch(wg0, wg1, wg2); } static void ggml_vk_end_submission(vk_submission& s, std::vector wait_semaphores, std::vector signal_semaphores) { - s.buffer.end(); + s.buffer->buf.end(); s.wait_semaphores = std::move(wait_semaphores); s.signal_semaphores = std::move(signal_semaphores); @@ -6426,7 +6531,7 @@ static void ggml_vk_ctx_end(vk_context& ctx) { return; } - ctx->s->buffer.end(); + ctx->s->buffer->buf.end(); ctx->s = nullptr; } @@ -6441,15 +6546,16 @@ static void ggml_vk_ctx_begin(vk_device& device, vk_context& subctx) { } static vk_context ggml_vk_get_compute_ctx(ggml_backend_vk_context * ctx) { + vk_context result; if (!ctx->compute_ctx.expired()) { - return ctx->compute_ctx.lock(); + result = ctx->compute_ctx.lock(); + } else { + result = ggml_vk_create_context(ctx, ctx->compute_cmd_pool); + + ctx->compute_ctx = result; + ggml_vk_ctx_begin(ctx->device, result); } - vk_context result = ggml_vk_create_context(ctx, ctx->compute_cmd_pool); - - ctx->compute_ctx = result; - ggml_vk_ctx_begin(ctx->device, result); - if (ctx->device->async_use_transfer_queue && ctx->transfer_semaphore_last_submitted < ctx->transfer_semaphore.value) { result->s->wait_semaphores.push_back(ctx->transfer_semaphore); ctx->transfer_semaphore_last_submitted = ctx->transfer_semaphore.value; @@ -6580,7 +6686,7 @@ static void ggml_vk_buffer_write_nc_async(ggml_backend_vk_context * ctx, vk_cont } ggml_vk_sync_buffers(ctx, subctx); - subctx->s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); + subctx->s->buffer->buf.copyBuffer(buf->buffer, dst->buffer, slices); return; } @@ -6595,7 +6701,7 @@ static void ggml_vk_buffer_write_nc_async(ggml_backend_vk_context * ctx, vk_cont VkBufferCopy buf_copy{ 0, offset, copy_size }; ggml_vk_sync_buffers(ctx, subctx); - vkCmdCopyBuffer(subctx->s->buffer, (VkBuffer)staging->buffer, (VkBuffer)dst->buffer, 1, &buf_copy); + vkCmdCopyBuffer(subctx->s->buffer->buf, (VkBuffer)staging->buffer, (VkBuffer)dst->buffer, 1, &buf_copy); for (uint64_t i3 = 0; i3 < ne3; i3++) { for (uint64_t i2 = 0; i2 < ne2; i2++) { @@ -6644,7 +6750,7 @@ static bool ggml_vk_buffer_write_2d_async(vk_context subctx, vk_buffer& dst, siz } ggml_vk_sync_buffers(nullptr, subctx); - subctx->s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); + subctx->s->buffer->buf.copyBuffer(buf->buffer, dst->buffer, slices); return true; } VK_LOG_DEBUG("STAGING"); @@ -6666,7 +6772,7 @@ static bool ggml_vk_buffer_write_2d_async(vk_context subctx, vk_buffer& dst, siz copy_size}; ggml_vk_sync_buffers(nullptr, subctx); - vkCmdCopyBuffer(subctx->s->buffer, (VkBuffer)staging_buffer->buffer, (VkBuffer)dst->buffer, 1, &buf_copy); + vkCmdCopyBuffer(subctx->s->buffer->buf, (VkBuffer)staging_buffer->buffer, (VkBuffer)dst->buffer, 1, &buf_copy); if (width == spitch) { deferred_memcpy((uint8_t *)staging_buffer->ptr, src, width * height, &subctx->in_memcpys); @@ -6752,7 +6858,7 @@ static bool ggml_vk_buffer_read_2d_async(vk_context subctx, vk_buffer& src, size if (buf != nullptr) { // Memory is pinned, use as staging buffer ggml_vk_sync_buffers(nullptr, subctx); - subctx->s->buffer.copyBuffer(src->buffer, buf->buffer, slices); + subctx->s->buffer->buf.copyBuffer(src->buffer, buf->buffer, slices); return true; } @@ -6770,7 +6876,7 @@ static bool ggml_vk_buffer_read_2d_async(vk_context subctx, vk_buffer& src, size vk_buffer& staging_buffer = src->device->sync_staging; ggml_vk_sync_buffers(nullptr, subctx); - subctx->s->buffer.copyBuffer(src->buffer, staging_buffer->buffer, slices); + subctx->s->buffer->buf.copyBuffer(src->buffer, staging_buffer->buffer, slices); deferred_memcpy(dst, staging_buffer->ptr, copy_size, &subctx->out_memcpys); return true; @@ -6817,7 +6923,7 @@ static void ggml_vk_buffer_copy_async(vk_context& ctx, vk_buffer& dst, size_t ds VkBufferCopy bc{ src_offset, dst_offset, size }; - vkCmdCopyBuffer(ctx->s->buffer, (VkBuffer)src->buffer, (VkBuffer)dst->buffer, 1, &bc); + vkCmdCopyBuffer(ctx->s->buffer->buf, (VkBuffer)src->buffer, (VkBuffer)dst->buffer, 1, &bc); } static void ggml_vk_buffer_copy(vk_buffer& dst, size_t dst_offset, vk_buffer& src, size_t src_offset, size_t size) { @@ -6855,7 +6961,7 @@ static void ggml_vk_buffer_memset_async(vk_context& ctx, vk_buffer& dst, size_t } // Fall back to GPU fillBuffer for non-UMA or non-host-visible buffers - ctx->s->buffer.fillBuffer(dst->buffer, offset, size, c); + ctx->s->buffer->buf.fillBuffer(dst->buffer, offset, size, c); } static void ggml_vk_buffer_memset(vk_buffer& dst, size_t offset, uint32_t c, size_t size) { @@ -6870,7 +6976,7 @@ static void ggml_vk_buffer_memset(vk_buffer& dst, size_t offset, uint32_t c, siz std::lock_guard guard(dst->device->mutex); vk_context subctx = ggml_vk_create_temporary_context(dst->device->transfer_queue.cmd_pool); ggml_vk_ctx_begin(dst->device, subctx); - subctx->s->buffer.fillBuffer(dst->buffer, offset, size, c); + subctx->s->buffer->buf.fillBuffer(dst->buffer, offset, size, c); ggml_vk_ctx_end(subctx); ggml_vk_submit(subctx, dst->device->fence); @@ -7570,20 +7676,14 @@ static bool ggml_vk_should_use_mmvq(const vk_device& device, uint32_t m, uint32_ return true; } case VK_VENDOR_ID_INTEL: - if (k < 2048) { + if (device->driver_id == vk::DriverId::eIntelProprietaryWindows) { + // Intel Windows proprietary driver MMVQ performance is worse than fp16, see + // https://github.com/ggml-org/llama.cpp/issues/17628 return false; } - if (device->driver_id == vk::DriverId::eIntelProprietaryWindows) { - // Intel Windows proprietary driver tuning - switch (src0_type) { - case GGML_TYPE_MXFP4: - case GGML_TYPE_Q4_K: - case GGML_TYPE_Q5_K: - return false; - default: - return true; - } + if (k < 2048) { + return false; } switch (src0_type) { @@ -8816,7 +8916,7 @@ static void ggml_vk_flash_attn(ggml_backend_vk_context * ctx, vk_context& subctx } // Only use mask opt when the mask is fairly large. This hasn't been tuned extensively. - bool use_mask_opt = mask && nem1 >= 32 && nem0 * nem1 > 32768; + bool use_mask_opt = mask && nem1 >= 32 && nem0 * nem1 > 32768 && nem0 >= tuning_params.block_cols * 16; vk_fa_pipeline_state fa_pipeline_state = get_fa_pipeline_state(ctx->device, tuning_params, HSK, HSV, aligned, f32acc, mask != nullptr, use_mask_opt, logit_softcap != 0); @@ -9241,6 +9341,8 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const switch (ggml_get_unary_op(dst)) { case GGML_UNARY_OP_EXP: return ctx->device->pipeline_exp[dst->type == GGML_TYPE_F16]; + case GGML_UNARY_OP_ELU: + return ctx->device->pipeline_elu[dst->type == GGML_TYPE_F16]; case GGML_UNARY_OP_SILU: return ctx->device->pipeline_silu[dst->type == GGML_TYPE_F16]; case GGML_UNARY_OP_GELU: @@ -9277,6 +9379,8 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const return ctx->device->pipeline_floor[dst->type == GGML_TYPE_F16]; case GGML_UNARY_OP_TRUNC: return ctx->device->pipeline_trunc[dst->type == GGML_TYPE_F16]; + case GGML_UNARY_OP_SGN: + return ctx->device->pipeline_sgn[dst->type == GGML_TYPE_F16]; default: break; } @@ -9470,6 +9574,20 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const return ctx->device->pipeline_rwkv_wkv7_f32; } return nullptr; + case GGML_OP_GATED_DELTA_NET: + if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { + const uint32_t S_v = dst->src[2]->ne[0]; + const uint32_t kda = (dst->src[3]->ne[0] == (int64_t)S_v) ? 1 : 0; + uint32_t si; + switch (S_v) { + case 32: si = 0; break; + case 64: si = 1; break; + case 128: si = 2; break; + default: return nullptr; + } + return ctx->device->pipeline_gated_delta_net[si][kda]; + } + return nullptr; case GGML_OP_SSM_SCAN: if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { const uint32_t d_state = src0->ne[0]; @@ -10300,6 +10418,59 @@ static void ggml_vk_rwkv_wkv7(ggml_backend_vk_context * ctx, vk_context& subctx, ); } +static void ggml_vk_gated_delta_net(ggml_backend_vk_context * ctx, vk_context& subctx, ggml_tensor * dst) { + const ggml_tensor * src_q = dst->src[0]; + const ggml_tensor * src_v = dst->src[2]; + const ggml_tensor * src_beta = dst->src[4]; + + GGML_ASSERT(dst->buffer != nullptr); + + const uint32_t S_v = (uint32_t)src_v->ne[0]; + const uint32_t H = (uint32_t)src_v->ne[1]; + const uint32_t n_tokens = (uint32_t)src_v->ne[2]; + const uint32_t n_seqs = (uint32_t)src_v->ne[3]; + + const uint32_t s_off = S_v * H * n_tokens * n_seqs; + + vk_pipeline pipeline = ggml_vk_op_get_pipeline(ctx, dst->src[0], dst->src[1], dst->src[2], dst, dst->op); + GGML_ASSERT(pipeline != nullptr); + + ggml_pipeline_request_descriptor_sets(ctx, pipeline, 1); + + vk_subbuffer dst_buf = ggml_vk_tensor_subbuffer(ctx, dst); + vk_subbuffer src_buf[6] = {}; + for (int i = 0; i < 6; i++) { + src_buf[i] = ggml_vk_tensor_subbuffer(ctx, dst->src[i]); + } + + const uint32_t sq1 = (uint32_t)(src_q->nb[1] / sizeof(float)); + const uint32_t sq2 = (uint32_t)(src_q->nb[2] / sizeof(float)); + const uint32_t sq3 = (uint32_t)(src_q->nb[3] / sizeof(float)); + const uint32_t sv1 = (uint32_t)(src_v->nb[1] / sizeof(float)); + const uint32_t sv2 = (uint32_t)(src_v->nb[2] / sizeof(float)); + const uint32_t sv3 = (uint32_t)(src_v->nb[3] / sizeof(float)); + const uint32_t sb1 = (uint32_t)(src_beta->nb[1] / sizeof(float)); + const uint32_t sb2 = (uint32_t)(src_beta->nb[2] / sizeof(float)); + const uint32_t sb3 = (uint32_t)(src_beta->nb[3] / sizeof(float)); + + const uint32_t neq1 = (uint32_t)src_q->ne[1]; + const uint32_t rq3 = (uint32_t)(src_v->ne[3] / src_q->ne[3]); + + const float scale = 1.0f / sqrtf((float)S_v); + const vk_op_gated_delta_net_push_constants pc = { + H, n_tokens, n_seqs, s_off, + sq1, sq2, sq3, + sv1, sv2, sv3, + sb1, sb2, sb3, + neq1, rq3, + scale + }; + + ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, + {src_buf[0], src_buf[1], src_buf[2], src_buf[3], src_buf[4], src_buf[5], dst_buf}, + pc, { H, n_seqs, S_v }); +} + static void ggml_vk_ssm_scan(ggml_backend_vk_context * ctx, vk_context& subctx, ggml_tensor * dst) { const ggml_tensor * src0 = dst->src[0]; const ggml_tensor * src1 = dst->src[1]; @@ -12674,7 +12845,7 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_cgraph * cgr if (vk_perf_logger_enabled && vk_perf_logger_concurrent) { ctx->query_node_idx[ctx->query_idx] = node_idx; - compute_ctx->s->buffer.writeTimestamp(vk::PipelineStageFlagBits::eAllCommands, ctx->query_pool, ctx->query_idx++); + compute_ctx->s->buffer->buf.writeTimestamp(vk::PipelineStageFlagBits::eAllCommands, ctx->query_pool, ctx->query_idx++); } } // Add all fused nodes to the unsynchronized lists. @@ -12852,6 +13023,7 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_cgraph * cgr } switch (ggml_get_unary_op(node)) { + case GGML_UNARY_OP_ELU: case GGML_UNARY_OP_EXP: case GGML_UNARY_OP_SILU: case GGML_UNARY_OP_GELU: @@ -12870,6 +13042,7 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_cgraph * cgr case GGML_UNARY_OP_CEIL: case GGML_UNARY_OP_FLOOR: case GGML_UNARY_OP_TRUNC: + case GGML_UNARY_OP_SGN: ggml_vk_unary(ctx, compute_ctx, src0, node); break; case GGML_UNARY_OP_XIELU: @@ -13014,6 +13187,11 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_cgraph * cgr break; + case GGML_OP_GATED_DELTA_NET: + ggml_vk_gated_delta_net(ctx, compute_ctx, node); + + break; + case GGML_OP_SSM_SCAN: ggml_vk_ssm_scan(ctx, compute_ctx, node); @@ -13248,6 +13426,10 @@ static void ggml_backend_vk_buffer_memset_tensor(ggml_backend_buffer_t buffer, g ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)buffer->context; vk_buffer buf = buf_ctx->dev_buffer; + if (size == 0) { + return; + } + uint32_t val32 = (uint32_t)value * 0x01010101; ggml_vk_buffer_memset(buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, val32, size); } @@ -13257,6 +13439,10 @@ static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)buffer->context; vk_buffer buf = buf_ctx->dev_buffer; + if (size == 0) { + return; + } + ggml_vk_buffer_write(buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, data, size); } @@ -13264,12 +13450,20 @@ static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t buffer, cons VK_LOG_DEBUG("ggml_backend_vk_buffer_get_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")"); ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)buffer->context; + if (size == 0) { + return; + } + vk_buffer buf = buf_ctx->dev_buffer; ggml_vk_buffer_read(buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, data, size); } static bool ggml_backend_vk_buffer_cpy_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * src, ggml_tensor * dst) { + if (ggml_nbytes(src) == 0) { + return true; + } + if (ggml_backend_buffer_is_vk(src->buffer)) { ggml_backend_vk_buffer_context * src_buf_ctx = (ggml_backend_vk_buffer_context *)src->buffer->context; ggml_backend_vk_buffer_context * dst_buf_ctx = (ggml_backend_vk_buffer_context *)dst->buffer->context; @@ -13459,6 +13653,10 @@ static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, ggml_tensor ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context; GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type"); + if (size == 0) { + return; + } + ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)tensor->buffer->context; vk_context cpy_ctx; @@ -13491,7 +13689,7 @@ static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, ggml_tensor buffer_cpy.dstOffset = dst_offset; buffer_cpy.size = size; - cpy_ctx->s->buffer.copyBuffer(ctx->sync_staging->buffer, buf->buffer, { buffer_cpy }); + cpy_ctx->s->buffer->buf.copyBuffer(ctx->sync_staging->buffer, buf->buffer, { buffer_cpy }); deferred_memcpy(ctx->sync_staging->ptr, data, size, &cpy_ctx->in_memcpys); ggml_vk_synchronize(ctx); } @@ -13502,6 +13700,10 @@ static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, const ggml_ ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context; GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type"); + if (size == 0) { + return; + } + ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)tensor->buffer->context; vk_context compute_ctx = ggml_vk_get_compute_ctx(ctx); @@ -13521,16 +13723,21 @@ static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, const ggml_ buffer_cpy.dstOffset = 0; buffer_cpy.size = size; - compute_ctx->s->buffer.copyBuffer(buf->buffer, ctx->sync_staging->buffer, { buffer_cpy }); + compute_ctx->s->buffer->buf.copyBuffer(buf->buffer, ctx->sync_staging->buffer, { buffer_cpy }); deferred_memcpy(data, ctx->sync_staging->ptr, size, &compute_ctx->out_memcpys); ggml_vk_synchronize(ctx); } } static bool ggml_backend_vk_cpy_tensor_async(ggml_backend_t backend_src, ggml_backend_t backend_dst, const ggml_tensor * src, ggml_tensor * dst) { - VK_LOG_DEBUG("ggml_backend_vk_cpy_tensor_async()"); + VK_LOG_DEBUG("ggml_backend_vk_cpy_tensor_async(" << src << " -> " << dst << ", size=" << ggml_nbytes(src) << ")"); ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend_dst->context; + // Skip zero-size tensors + if (ggml_nbytes(src) == 0) { + return true; + } + if (dst->buffer->buft != ggml_backend_vk_get_default_buffer_type(backend_dst)) { return false; } @@ -13594,8 +13801,12 @@ static void ggml_vk_synchronize(ggml_backend_vk_context * ctx) { } vk_context compute_ctx; + vk_command_buffer* cmd_buf = nullptr; if (do_transfer) { compute_ctx = ctx->compute_ctx.lock(); + if (compute_ctx->s) { + cmd_buf = compute_ctx->s->buffer; + } ggml_vk_ctx_end(compute_ctx); @@ -13629,6 +13840,10 @@ static void ggml_vk_synchronize(ggml_backend_vk_context * ctx) { } ggml_vk_wait_for_fence(ctx); ctx->submit_pending = false; + if (cmd_buf) { + cmd_buf->in_use = false; + cmd_buf->buf.reset(); + } } if (do_transfer) { @@ -14118,7 +14333,7 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg GGML_ASSERT(ctx->compute_ctx.expired()); compute_ctx = ggml_vk_get_compute_ctx(ctx); ctx->query_idx = 0; - compute_ctx->s->buffer.writeTimestamp(vk::PipelineStageFlagBits::eAllCommands, ctx->query_pool, ctx->query_idx++); + compute_ctx->s->buffer->buf.writeTimestamp(vk::PipelineStageFlagBits::eAllCommands, ctx->query_pool, ctx->query_idx++); } ctx->prealloc_y_last_pipeline_used = nullptr; @@ -14354,7 +14569,7 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg // track a single node/fusion for the current query ctx->query_nodes[ctx->query_idx] = cgraph->nodes[i]; ctx->query_fusion_names[ctx->query_idx] = fusion_string; - compute_ctx->s->buffer.writeTimestamp(vk::PipelineStageFlagBits::eAllCommands, ctx->query_pool, ctx->query_idx++); + compute_ctx->s->buffer->buf.writeTimestamp(vk::PipelineStageFlagBits::eAllCommands, ctx->query_pool, ctx->query_idx++); } else { // track a fusion string and number of fused ops for the current node_idx ctx->query_fusion_names[i] = fusion_string; @@ -14687,18 +14902,33 @@ static void ggml_backend_vk_event_record(ggml_backend_t backend, ggml_backend_ev ggml_vk_submit_transfer_ctx(ctx); vk_context compute_ctx = ggml_vk_get_compute_ctx(ctx); + auto* cmd_buf = compute_ctx->s->buffer; // retrieve pointer before it gets reset - // the backend interface doesn't have an explicit reset, so reset it here - // before we record the command to set it - ctx->device->device.resetEvent(vkev->event); - ctx->device->device.resetFences({ vkev->fence }); + if (vkev->has_event) { + // Move existing event into submitted + vkev->events_submitted.push_back(vkev->event); + } + + // Grab the next event and record it, create one if necessary + if (vkev->events_free.empty()) { + vkev->event = ctx->device->device.createEvent({}); + } else { + vkev->event = vkev->events_free.back(); + vkev->events_free.pop_back(); + } + + vkev->has_event = true; ggml_vk_set_event(compute_ctx, vkev->event); + vkev->tl_semaphore.value++; + compute_ctx->s->signal_semaphores.push_back(vkev->tl_semaphore); ggml_vk_ctx_end(compute_ctx); - ggml_vk_submit(compute_ctx, {vkev->fence}); + ggml_vk_submit(compute_ctx, {}); ctx->submit_pending = true; + vkev->cmd_buffer = cmd_buf; + vkev->cmd_buffer_use_counter = cmd_buf->use_counter; ctx->compute_ctx.reset(); } @@ -14709,9 +14939,10 @@ static void ggml_backend_vk_event_wait(ggml_backend_t backend, ggml_backend_even vk_context compute_ctx = ggml_vk_get_compute_ctx(ctx); - ggml_vk_wait_events(compute_ctx, {vkev->event}); - ggml_vk_ctx_end(compute_ctx); - ctx->compute_ctx.reset(); + if (vkev->has_event) { + // Wait for latest event + ggml_vk_wait_events(compute_ctx, { vkev->event }); + } } // TODO: enable async and synchronize @@ -14951,6 +15182,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm case GGML_OP_UNARY: switch (ggml_get_unary_op(op)) { case GGML_UNARY_OP_EXP: + case GGML_UNARY_OP_ELU: case GGML_UNARY_OP_GELU: case GGML_UNARY_OP_GELU_ERF: case GGML_UNARY_OP_GELU_QUICK: @@ -14969,6 +15201,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm case GGML_UNARY_OP_CEIL: case GGML_UNARY_OP_FLOOR: case GGML_UNARY_OP_TRUNC: + case GGML_UNARY_OP_SGN: return ggml_is_contiguous(op->src[0]) && (op->src[0]->type == GGML_TYPE_F32 || op->src[0]->type == GGML_TYPE_F16) && (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) && @@ -15385,6 +15618,19 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm case GGML_OP_RWKV_WKV6: case GGML_OP_RWKV_WKV7: return true; // all inputs are contiguous, see ggml.c + case GGML_OP_GATED_DELTA_NET: + { + const uint32_t S_v = op->src[2]->ne[0]; + if (S_v != 32 && S_v != 64 && S_v != 128) { + return false; + } + for (int i = 0; i < 6; i++) { + if (op->src[i] == nullptr || op->src[i]->type != GGML_TYPE_F32) { + return false; + } + } + return op->type == GGML_TYPE_F32; + } case GGML_OP_SSM_SCAN: { for (int i = 0; i < 6; i++) { @@ -15486,10 +15732,13 @@ static ggml_backend_event_t ggml_backend_vk_device_event_new(ggml_backend_dev_t return nullptr; } - // The event/fence is expected to initially be in the signaled state. - vkev->event = device->device.createEvent({}); - vkev->fence = device->device.createFence({vk::FenceCreateFlagBits::eSignaled}); - device->device.setEvent(vkev->event); + // No events initially, they get created on demand + vkev->has_event = false; + + vk::SemaphoreTypeCreateInfo tci{ vk::SemaphoreType::eTimeline, 0 }; + vk::SemaphoreCreateInfo ci{}; + ci.setPNext(&tci); + vkev->tl_semaphore = { device->device.createSemaphore(ci), 0 }; return new ggml_backend_event { /* .device = */ dev, @@ -15503,8 +15752,16 @@ static void ggml_backend_vk_device_event_free(ggml_backend_dev_t dev, ggml_backe vk_event *vkev = (vk_event *)event->context; - device->device.destroyFence(vkev->fence); - device->device.destroyEvent(vkev->event); + device->device.destroySemaphore(vkev->tl_semaphore.s); + for (auto& event : vkev->events_free) { + device->device.destroyEvent(event); + } + for (auto& event : vkev->events_submitted) { + device->device.destroyEvent(event); + } + if (vkev->has_event) { + device->device.destroyEvent(vkev->event); + } delete vkev; delete event; } @@ -15515,7 +15772,30 @@ static void ggml_backend_vk_device_event_synchronize(ggml_backend_dev_t dev, ggm auto device = ggml_vk_get_device(ctx->device); vk_event *vkev = (vk_event *)event->context; - VK_CHECK(device->device.waitForFences({ vkev->fence }, true, UINT64_MAX), "event_synchronize"); + // Only do something if the event has actually been used + if (vkev->has_event) { + vk::Semaphore sem = vkev->tl_semaphore.s; + uint64_t val = vkev->tl_semaphore.value; + vk::SemaphoreWaitInfo swi{vk::SemaphoreWaitFlags{}, sem, val}; + VK_CHECK(device->device.waitSemaphores(swi, UINT64_MAX), "event_synchronize"); + + // Reset and move submitted events + for (auto& event : vkev->events_submitted) { + device->device.resetEvent(event); + } + vkev->events_free.insert(vkev->events_free.end(), vkev->events_submitted.begin(), vkev->events_submitted.end()); + vkev->events_submitted.clear(); + + // Finished using current command buffer so we flag for reuse + if (vkev->cmd_buffer) { + // Only flag for reuse if it hasn't been reused already + if (vkev->cmd_buffer_use_counter == vkev->cmd_buffer->use_counter) { + vkev->cmd_buffer->in_use = false; + vkev->cmd_buffer->buf.reset(); + } + vkev->cmd_buffer = nullptr; + } + } } static vk_buffer ggml_vk_buffer_from_host_ptr(vk_device & device, void * ptr, size_t size) { @@ -15768,6 +16048,7 @@ static uint32_t ggml_vk_intel_shader_core_count(const vk::PhysicalDevice& vkdev) case 0xE20C: // B570 return 18; case 0xE20B: // B580 + case 0xE211: // Pro B60 return 20; default: return 0; @@ -15987,7 +16268,7 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_cgraph * tensor_clone = ggml_arange(ggml_ctx, start, stop, step); } else if (tensor->op == GGML_OP_FILL) { const float value = ggml_get_op_params_f32(tensor, 0); - tensor_clone = ggml_fill(ggml_ctx, tensor_clone, value); + tensor_clone = ggml_fill(ggml_ctx, src_clone[0], value); } else if (tensor->op == GGML_OP_SQR) { tensor_clone = ggml_sqr(ggml_ctx, src_clone[0]); } else if (tensor->op == GGML_OP_SQRT) { @@ -16074,6 +16355,9 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_cgraph * case GGML_UNARY_OP_EXP: tensor_clone = ggml_exp(ggml_ctx, src_clone[0]); break; + case GGML_UNARY_OP_ELU: + tensor_clone = ggml_elu(ggml_ctx, src_clone[0]); + break; case GGML_UNARY_OP_SILU: tensor_clone = ggml_silu(ggml_ctx, src_clone[0]); break; @@ -16132,6 +16416,9 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_cgraph * case GGML_UNARY_OP_TRUNC: tensor_clone = ggml_trunc(ggml_ctx, src_clone[0]); break; + case GGML_UNARY_OP_SGN: + tensor_clone = ggml_sgn(ggml_ctx, src_clone[0]); + break; default: std::cerr << "Missing vk_check_results OP: " << ggml_op_name(tensor->op) << std::endl; GGML_ABORT("fatal error"); @@ -16252,6 +16539,9 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_cgraph * } else if (tensor->op == GGML_OP_RWKV_WKV7) { tensor_clone = ggml_rwkv_wkv7(ggml_ctx, src_clone[0], src_clone[1], src_clone[2], src_clone[3], src_clone[4], src_clone[5], src_clone[6]); + } else if (tensor->op == GGML_OP_GATED_DELTA_NET) { + tensor_clone = ggml_gated_delta_net(ggml_ctx, src_clone[0], src_clone[1], + src_clone[2], src_clone[3], src_clone[4], src_clone[5]); } else if (tensor->op == GGML_OP_OPT_STEP_ADAMW) { src_clone[0]->flags = tensor->src[0]->flags; tensor_clone = ggml_opt_step_adamw(ggml_ctx, src_clone[0], src_clone[1], diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/elu.comp b/ggml/src/ggml-vulkan/vulkan-shaders/elu.comp new file mode 100644 index 0000000000..84dcbd8c88 --- /dev/null +++ b/ggml/src/ggml-vulkan/vulkan-shaders/elu.comp @@ -0,0 +1,27 @@ +#version 450 + +#include "generic_head.glsl" +#include "types.glsl" + +#extension GL_EXT_control_flow_attributes : enable + +layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +void main() { + const uint i = gl_GlobalInvocationID.z * 262144 + gl_GlobalInvocationID.y * 512 + gl_GlobalInvocationID.x; + + if (i >= p.KX) { + return; + } + + float x = float(data_a[i]); + + if (x < 0.0f) { + x = exp(x) - 1; + } + + data_d[i] = D_TYPE(x); +} diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp index ec48f5b115..11b7dce857 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp @@ -245,7 +245,7 @@ void main() { #endif } [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) { - Sf[r][c] += ACC_TYPE(dot(Q_cache[r], K_Tf)); + Sf[r][c] += dot(ACC_TYPEV4(Q_cache[r]), ACC_TYPEV4(K_Tf)); } } } @@ -270,7 +270,7 @@ void main() { #endif } [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) { - Sf[r][c] += ACC_TYPE(dot(Qf[tile_row(r) * qf_stride + d * D_split + d_tid], K_Tf)); + Sf[r][c] += dot(ACC_TYPEV4(Qf[tile_row(r) * qf_stride + d * D_split + d_tid]), ACC_TYPEV4(K_Tf)); } } } diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_mask_opt.comp b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_mask_opt.comp index 8c92c1adcd..0e41770806 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_mask_opt.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_mask_opt.comp @@ -33,6 +33,61 @@ layout (push_constant) uniform parameter { shared float minsh[NUM_SUBGROUPS]; shared float maxsh[NUM_SUBGROUPS]; +float FLT_MAX_OVER_2 = uintBitsToFloat(0x7EFFFFFF); + +void loadvec4(inout uint result, const uint i0, const uint i1, const uint i2, const uint i3, const bool need_bounds_check) { + const uint tid = gl_LocalInvocationIndex; + + [[unroll]] for (uint block_x = 0; block_x < 16; ++block_x) { + float min_v = FLT_MAX_OVER_2; + float max_v = -FLT_MAX_OVER_2; + [[unroll]] for (uint i = 0; i < Br * Bc / 4; i += BLOCK_SIZE) { + uint j0 = (i + tid) % (Bc / 4); + uint j1 = (i + tid) / (Bc / 4); + + j0 *= 4; + j0 += (i0 * 16 + block_x) * Bc; + j1 += i1 * Br; + + if (!need_bounds_check || j0 + 3 < nem0) { + vec4 f = vec4(data_av4[(j0 + j1 * nbm1 + i2 * nbm2 + i3 * nbm3) / 4]); + [[unroll]] for (int c = 0; c < 4; ++c) { + min_v = min(min_v, f[c]); + max_v = max(max_v, f[c]); + } + } else { + [[unroll]] for (int c = 0; c < 4; ++c) { + if (j0 + c < nem0) { + float f = float(data_a[j0 + j1 * nbm1 + i2 * nbm2 + i3 * nbm3]); + min_v = min(min_v, f); + max_v = max(max_v, f); + } + } + } + } + min_v = subgroupMin(min_v); + max_v = subgroupMax(max_v); + if (gl_SubgroupInvocationID == 0) { + minsh[gl_SubgroupID] = min_v; + maxsh[gl_SubgroupID] = max_v; + } + barrier(); + if (tid == 0) { + [[unroll]] for (uint i = 0; i < NUM_SUBGROUPS; ++i) { + min_v = min(min_v, minsh[i]); + max_v = max(max_v, maxsh[i]); + } + if (max_v <= -FLT_MAX_OVER_2) { + result |= 1 << (2*block_x); + } + if (min_v == 0.0f && max_v == 0.0f) { + result |= 2 << (2*block_x); + } + } + barrier(); + } +} + // For each Br x Bc block of the mask (input) buffer, read all values and check // if it's all -inf or all zero. Write out a two-bit code indicating which it is // (or zero for neither). Each workgroup processes 16 tiles and writes out a @@ -48,50 +103,15 @@ void main() { const uint i2 = gl_WorkGroupID.z % nem2; const uint i3 = gl_WorkGroupID.z / nem2; - float FLT_MAX_OVER_2 = uintBitsToFloat(0x7EFFFFFF); - uint result = 0; // Fast path for fully in-bounds blocks where we can do f16vec4 loads if ((nem0 % Bc) == 0 && (nem1 % Br) == 0 && ((Br * Bc) % (BLOCK_SIZE * 4)) == 0) { - [[unroll]] for (uint block_x = 0; block_x < 16; ++block_x) { - float min_v = FLT_MAX_OVER_2; - float max_v = -FLT_MAX_OVER_2; - [[unroll]] for (uint i = 0; i < Br * Bc / 4; i += BLOCK_SIZE) { - uint j0 = (i + tid) % (Bc / 4); - uint j1 = (i + tid) / (Bc / 4); - - j0 *= 4; - j0 += (i0 * 16 + block_x) * Bc; - j1 += i1 * Br; - - vec4 f = vec4(data_av4[(j0 + j1 * nbm1 + i2 * nbm2 + i3 * nbm3) / 4]); - [[unroll]] for (int c = 0; c < 4; ++c) { - min_v = min(min_v, f[c]); - max_v = max(max_v, f[c]); - } - } - min_v = subgroupMin(min_v); - max_v = subgroupMax(max_v); - if (gl_SubgroupInvocationID == 0) { - minsh[gl_SubgroupID] = min_v; - maxsh[gl_SubgroupID] = max_v; - } - barrier(); - if (tid == 0) { - [[unroll]] for (uint i = 0; i < NUM_SUBGROUPS; ++i) { - min_v = min(min_v, minsh[i]); - max_v = max(max_v, maxsh[i]); - } - if (max_v <= -FLT_MAX_OVER_2) { - result |= 1 << (2*block_x); - } - if (min_v == 0.0f && max_v == 0.0f) { - result |= 2 << (2*block_x); - } - } - barrier(); + if ((i0 + 1) * 16 * Bc <= nem0) { + loadvec4(result, i0, i1, i2, i3, false); + } else { + loadvec4(result, i0, i1, i2, i3, true); } } else { [[unroll]] for (uint block_x = 0; block_x < 16; ++block_x) { diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/gated_delta_net.comp b/ggml/src/ggml-vulkan/vulkan-shaders/gated_delta_net.comp new file mode 100644 index 0000000000..5e9f8308c1 --- /dev/null +++ b/ggml/src/ggml-vulkan/vulkan-shaders/gated_delta_net.comp @@ -0,0 +1,169 @@ +#version 450 + +#extension GL_EXT_control_flow_attributes : require +#extension GL_KHR_shader_subgroup_basic : enable +#if USE_SUBGROUP_CLUSTERED +#extension GL_KHR_shader_subgroup_clustered : enable +#endif +#if USE_SUBGROUP_ADD +#extension GL_KHR_shader_subgroup_arithmetic : enable +#endif + +// Caller guarantees valid spec constants: S_V % COLS_PER_WG == 0 and S_V % LANES_PER_COLUMN == 0, +// so no bounds checking is needed. +layout(constant_id = 0) const uint S_V = 128; +layout(constant_id = 1) const uint KDA = 0; +layout(constant_id = 2) const uint SUBGROUP_SIZE = 32; +layout(constant_id = 3) const uint LANES_PER_COLUMN = 32; + +const uint COLS_PER_WG = SUBGROUP_SIZE / LANES_PER_COLUMN; +const uint ROWS_PER_LANE = S_V / LANES_PER_COLUMN; + +layout(local_size_x_id = 2, local_size_y = 1, local_size_z = 1) in; + +layout(push_constant) uniform Parameters { + uint H; + uint n_tokens; + uint n_seqs; + uint s_off; + uint sq1, sq2, sq3; + uint sv1, sv2, sv3; + uint sb1, sb2, sb3; + uint neq1, rq3; + float scale; +}; + +layout(binding = 0) readonly buffer QBuf { FLOAT_TYPE data_q[]; }; +layout(binding = 1) readonly buffer KBuf { FLOAT_TYPE data_k[]; }; +layout(binding = 2) readonly buffer VBuf { FLOAT_TYPE data_v[]; }; +layout(binding = 3) readonly buffer GBuf { FLOAT_TYPE data_g[]; }; +layout(binding = 4) readonly buffer BetaBuf { FLOAT_TYPE data_beta[]; }; +layout(binding = 5) readonly buffer StateBuf { FLOAT_TYPE data_state[]; }; +layout(binding = 6) buffer DstBuf { FLOAT_TYPE data_dst[]; }; + +#if !USE_SUBGROUP_ADD && !USE_SUBGROUP_CLUSTERED +shared FLOAT_TYPE temp[SUBGROUP_SIZE]; + +// This does a reduction across groups of LANES_PER_COLUMN +FLOAT_TYPE reduce_add_shmem(FLOAT_TYPE partial) { + const uint lane = gl_SubgroupInvocationID; + temp[lane] = partial; + barrier(); + [[unroll]] for (uint s = LANES_PER_COLUMN / 2u; s > 0; s >>= 1u) { + FLOAT_TYPE other = temp[lane ^ s]; + barrier(); + temp[lane] += other; + barrier(); + } + const FLOAT_TYPE result = temp[lane]; + barrier(); + return result; +} +#endif + +// clusterSize for subgroupClusteredAdd must be a compile-time constant; branch on spec constant +FLOAT_TYPE reduce_partial(FLOAT_TYPE partial) { + switch (LANES_PER_COLUMN) { + case 1u: + return partial; +#if USE_SUBGROUP_CLUSTERED + // Workaround for GLSL requiring a literal constant for the cluster size. + // The branches should all fold away. + case 2u: + return subgroupClusteredAdd(partial, 2u); + case 4u: + return subgroupClusteredAdd(partial, 4u); + case 8u: + return subgroupClusteredAdd(partial, 8u); + case 16u: + return subgroupClusteredAdd(partial, 16u); + case 32u: + return subgroupClusteredAdd(partial, 32u); + case 64u: + return subgroupClusteredAdd(partial, 64u); +#endif + default: +#if USE_SUBGROUP_ADD + return subgroupAdd(partial); +#else + return reduce_add_shmem(partial); +#endif + } +} + +void main() { + const uint head_id = gl_WorkGroupID.x; + const uint seq_id = gl_WorkGroupID.y; + const uint lane = gl_SubgroupInvocationID % LANES_PER_COLUMN; + const uint col = gl_WorkGroupID.z * COLS_PER_WG + (gl_SubgroupInvocationID / LANES_PER_COLUMN); + + const uint iq1 = head_id % neq1; + const uint iq3 = seq_id / rq3; + + const uint state_size = S_V * S_V; + const uint state_base = (seq_id * H + head_id) * state_size; + + FLOAT_TYPE s_shard[ROWS_PER_LANE]; + [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) { + s_shard[r] = FLOAT_TYPE(data_state[state_base + col * S_V + r * LANES_PER_COLUMN + lane]); + } + + uint attn_off = (seq_id * n_tokens * H + head_id) * S_V; + + for (uint t = 0; t < n_tokens; t++) { + const uint q_off = iq3 * sq3 + t * sq2 + iq1 * sq1; + const uint k_off = q_off; + const uint v_off = seq_id * sv3 + t * sv2 + head_id * sv1; + const uint gb_off = seq_id * sb3 + t * sb2 + head_id * sb1; + const FLOAT_TYPE beta_val = FLOAT_TYPE(data_beta[gb_off]); + + FLOAT_TYPE k_reg[ROWS_PER_LANE]; + FLOAT_TYPE q_reg[ROWS_PER_LANE]; + [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) { + const uint i = r * LANES_PER_COLUMN + lane; + k_reg[r] = FLOAT_TYPE(data_k[k_off + i]); + q_reg[r] = FLOAT_TYPE(data_q[q_off + i]); + } + + FLOAT_TYPE g_exp[ROWS_PER_LANE]; + if (KDA == 0) { + const FLOAT_TYPE g_val = exp(FLOAT_TYPE(data_g[gb_off])); + [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) { + g_exp[r] = g_val; + } + } else { + const uint g_base = gb_off * S_V; + [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) { + const uint i = r * LANES_PER_COLUMN + lane; + g_exp[r] = exp(FLOAT_TYPE(data_g[g_base + i])); + } + } + + const FLOAT_TYPE v_val = FLOAT_TYPE(data_v[v_off + col]); + + FLOAT_TYPE kv_shard = 0.0; + [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) { + kv_shard += g_exp[r] * s_shard[r] * k_reg[r]; + } + FLOAT_TYPE kv_col = reduce_partial(kv_shard); + + FLOAT_TYPE delta_col = (v_val - kv_col) * beta_val; + + FLOAT_TYPE attn_partial = 0.0; + [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) { + s_shard[r] = g_exp[r] * s_shard[r] + k_reg[r] * delta_col; + attn_partial += s_shard[r] * q_reg[r]; + } + FLOAT_TYPE attn_col = reduce_partial(attn_partial); + + if (lane == 0) { + data_dst[attn_off + col] = attn_col * scale; + } + + attn_off += S_V * H; + } + + [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) { + data_dst[s_off + state_base + col * S_V + r * LANES_PER_COLUMN + lane] = s_shard[r]; + } +} diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/l2_norm.comp b/ggml/src/ggml-vulkan/vulkan-shaders/l2_norm.comp index 7d0a1de0df..f9af46744d 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/l2_norm.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/l2_norm.comp @@ -36,7 +36,7 @@ void main() { barrier(); } - const FLOAT_TYPE scale = inversesqrt(max(sum[0], FLOAT_TYPE(p.param1))); + const FLOAT_TYPE scale = 1.0f / max(sqrt(sum[0]), FLOAT_TYPE(p.param1)); [[unroll]] for (uint i0 = tid; i0 < p.ne00; i0 += BLOCK_SIZE) { data_d[i3*p.nb13 + i2*p.nb12 + i1*p.nb11 + i0] = D_TYPE(scale * FLOAT_TYPE(data_a[i3*p.nb03 + i2*p.nb02 + i1*p.nb01 + i0])); diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp index 79344d3300..23f3bd8d6d 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp @@ -377,6 +377,7 @@ void main() { [[unroll]] for (uint cm_col = 0; cm_col < cms_per_col; cm_col++) { coopMatStore(sums[cm_col * cms_per_row + cm_row], coopmat_stage, warp_i * TM * TN, TM, gl_CooperativeMatrixLayoutColumnMajor); + barrier(); [[unroll]] for (uint col = 0; col < TN; col += storestride) { const uint row_i = dc + cm_col * TN + col + store_c; if (row_i >= _ne1) break; @@ -387,6 +388,7 @@ void main() { data_d[row_idx.y * p.batch_stride_d + row_idx.x * p.stride_d + dr + cm_row * TM + store_r] = D_TYPE(coopmat_stage[warp_i * TM * TN + (col + store_c) * TM + store_r]); } } + barrier(); } } #else @@ -404,18 +406,22 @@ void main() { // Full coopMat is within bounds, but stride_d is not aligned coopMatStore(sums[cm_col * cms_per_row + cm_row], coopmat_stage, warp_i * TM * TN, TM, gl_CooperativeMatrixLayoutColumnMajor); + controlBarrier(gl_ScopeSubgroup, gl_ScopeSubgroup, gl_StorageSemanticsShared, gl_SemanticsAcquireRelease); [[unroll]] for (uint col = 0; col < TN; col += storestride) { data_d[offsets + (dc + cm_col * TN + col + store_c) * p.stride_d + dr + cm_row * TM + store_r] = D_TYPE(coopmat_stage[warp_i * TM * TN + (col + store_c) * TM + store_r]); } + controlBarrier(gl_ScopeSubgroup, gl_ScopeSubgroup, gl_StorageSemanticsShared, gl_SemanticsAcquireRelease); } else if (dr + cm_row * TM < p.M && dc + cm_col * TN < p.N) { // Partial coopMat is within bounds coopMatStore(sums[cm_col * cms_per_row + cm_row], coopmat_stage, warp_i * TM * TN, TM, gl_CooperativeMatrixLayoutColumnMajor); + controlBarrier(gl_ScopeSubgroup, gl_ScopeSubgroup, gl_StorageSemanticsShared, gl_SemanticsAcquireRelease); [[unroll]] for (uint col = 0; col < TN; col += storestride) { if (dr + cm_row * TM + store_r < p.M && dc + cm_col * TN + col + store_c < p.N) { data_d[offsets + (dc + cm_col * TN + col + store_c) * p.stride_d + dr + cm_row * TM + store_r] = D_TYPE(coopmat_stage[warp_i * TM * TN + (col + store_c) * TM + store_r]); } } + controlBarrier(gl_ScopeSubgroup, gl_ScopeSubgroup, gl_StorageSemanticsShared, gl_SemanticsAcquireRelease); } } } diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_funcs.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_funcs.glsl index ce7f2d699a..3f494eb4d5 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_funcs.glsl +++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_funcs.glsl @@ -444,19 +444,20 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row; const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2; - const uint ib = idx / 128; // 2 values per idx - const uint ib32 = (idx % 128) / 16; // 0..7 - const uint iq = 16 * ib32 + 2 * (idx % 8); + const uint ib = idx / 64; // 4 values per idx + const uint ib32 = (idx % 64) / 8; // 0..7 + const uint iq = 4 * ib32 + (idx % 4); const uint sl = (data_a[ib].scales_l[ib32/2] >> (4 * (ib32 & 1))) & 0xF; const uint sh = ((data_a[ib].scales_h) >> (2 * ib32)) & 3; - const uint qshift = (idx & 8) >> 1; - u8vec2 qs = unpack8((uint(data_a_packed16[ib].qs[iq/2]) >> qshift) & 0x0F0F).xy; + const uint qshift = idx & 4; + u8vec4 qs = unpack8((uint(data_a_packed32[ib].qs[iq]) >> qshift) & 0x0F0F0F0F); const float d = float(data_a[ib].d); - const vec2 v = d * float(int(sl | (sh << 4)) - 32) * vec2(kvalues_iq4nl[qs.x], kvalues_iq4nl[qs.y]); + const vec4 v = d * float(int(sl | (sh << 4)) - 32) * vec4(kvalues_iq4nl[qs.x], kvalues_iq4nl[qs.y], kvalues_iq4nl[qs.z], kvalues_iq4nl[qs.w]); buf_a[buf_idx ] = FLOAT_TYPE_VEC2(v.xy); + buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(v.zw); #elif defined(DATA_A_IQ4_NL) const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row; const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 4; diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/sgn.comp b/ggml/src/ggml-vulkan/vulkan-shaders/sgn.comp new file mode 100644 index 0000000000..a9c147bf9a --- /dev/null +++ b/ggml/src/ggml-vulkan/vulkan-shaders/sgn.comp @@ -0,0 +1,21 @@ +#version 450 + +#include "generic_head.glsl" +#include "types.glsl" + +#extension GL_EXT_control_flow_attributes : enable + +layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +void main() { + const uint i = gl_GlobalInvocationID.z * 262144 + gl_GlobalInvocationID.y * 512 + gl_GlobalInvocationID.x; + + if (i >= p.KX) { + return; + } + + data_d[i] = D_TYPE(sign(float(data_a[i]))); +} diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/ssm_conv.comp b/ggml/src/ggml-vulkan/vulkan-shaders/ssm_conv.comp index d62696bcfa..6802b1fc95 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/ssm_conv.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/ssm_conv.comp @@ -5,8 +5,9 @@ #include "types.glsl" layout(constant_id = 0) const uint BLOCK_SIZE = 32; +layout(constant_id = 1) const uint TOKENS_PER_WG = 16; -layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; +layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z = 1) in; layout(binding = 0) readonly buffer Src0 { float src0[]; }; layout(binding = 1) readonly buffer Src1 { float src1[]; }; @@ -20,25 +21,30 @@ layout(push_constant) uniform PushConstants { }; void main() { - const uint global_thread_id = gl_GlobalInvocationID.x; - const uint i2 = gl_WorkGroupID.y; + const uint i1 = gl_GlobalInvocationID.x; + const uint i2 = gl_WorkGroupID.y * TOKENS_PER_WG + gl_LocalInvocationID.y; const uint i3 = gl_WorkGroupID.z; - if (global_thread_id >= nr || i2 >= n_t || i3 >= n_s) { + if (i1 >= nr || i2 >= n_t || i3 >= n_s) { return; } - const uint i1 = global_thread_id; const uint src0_base = i3 * (nb02 / 4) + i2 + i1 * (nb01 / 4); const uint src1_base = i1 * (nb11 / 4); - const uint dst_idx = i3 * (dst_nb2 / 4) + i2 * (dst_nb1 / 4) + i1; float sum = 0.0; - [[unroll]] for (uint i0 = 0; i0 < nc; i0++) { - const uint src0_idx = src0_base + i0; - const uint src1_idx = src1_base + i0; - sum += src0[src0_idx] * src1[src1_idx]; + + if (nc == 4) { + sum = dot( + vec4(src0[src0_base], src0[src0_base + 1], src0[src0_base + 2], src0[src0_base + 3]), + vec4(src1[src1_base], src1[src1_base + 1], src1[src1_base + 2], src1[src1_base + 3]) + ); + } else { + [[unroll]] for (uint i0 = 0; i0 < nc; i0++) { + sum += src0[src0_base + i0] * src1[src1_base + i0]; + } } + const uint dst_idx = i3 * (dst_nb2 / 4) + i2 * (dst_nb1 / 4) + i1; dst[dst_idx] = sum; } diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp index 85455988c5..8186dba36f 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp @@ -554,7 +554,7 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c std::string load_vec_quant = "2"; if ((tname == "q4_0") || (tname == "q4_1") || (tname == "q5_1") || (tname == "iq1_s") || (tname == "iq1_m") || (tname == "iq2_xxs") || (tname == "iq2_xs") || (tname == "iq2_s")) load_vec_quant = "8"; - else if ((tname == "q5_0") || (tname == "q8_0") || (tname == "q2_k") || (tname == "q4_k") || (tname == "q5_k") || (tname == "iq3_xxs") || (tname == "iq3_s") || (tname == "iq4_nl") || (tname == "mxfp4")) + else if ((tname == "q5_0") || (tname == "q8_0") || (tname == "q2_k") || (tname == "q4_k") || (tname == "q5_k") || (tname == "iq3_xxs") || (tname == "iq3_s") || (tname == "iq4_xs") || (tname == "iq4_nl") || (tname == "mxfp4")) load_vec_quant = "4"; if (tname == "bf16") { @@ -867,8 +867,12 @@ void process_shaders() { string_to_spv("hardswish_f32", "hardswish.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}}); string_to_spv("abs_f16", "abs.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}}); string_to_spv("abs_f32", "abs.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}}); + string_to_spv("elu_f16", "elu.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}}); + string_to_spv("elu_f32", "elu.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}}); string_to_spv("xielu_f16", "xielu.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}}); string_to_spv("xielu_f32", "xielu.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}}); + string_to_spv("sgn_f16", "sgn.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}}); + string_to_spv("sgn_f32", "sgn.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}}); string_to_spv("tri_f16", "tri.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}}); string_to_spv("tri_f32", "tri.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}}); @@ -983,6 +987,10 @@ void process_shaders() { string_to_spv("rwkv_wkv7_f32", "wkv7.comp", merge_maps(base_dict, {{"A_TYPE", "float"}})); + string_to_spv("gated_delta_net_f32", "gated_delta_net.comp", merge_maps(base_dict, {{"FLOAT_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}, {"USE_SUBGROUP_CLUSTERED", "1"}})); + string_to_spv("gated_delta_net_f32_nocluster", "gated_delta_net.comp", merge_maps(base_dict, {{"FLOAT_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}, {"USE_SUBGROUP_CLUSTERED", "0"}})); + string_to_spv("gated_delta_net_f32_shmem", "gated_delta_net.comp", merge_maps(base_dict, {{"FLOAT_TYPE", "float"}, {"USE_SUBGROUP_ADD", "0"}, {"USE_SUBGROUP_CLUSTERED", "0"}})); + string_to_spv("opt_step_adamw_f32", "opt_step_adamw.comp", merge_maps(base_dict, {{"A_TYPE", "float"}})); string_to_spv("opt_step_sgd_f32", "opt_step_sgd.comp", merge_maps(base_dict, {{"A_TYPE", "float"}})); diff --git a/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp b/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp index 17c5e0fb51..59861ac16c 100644 --- a/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp +++ b/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp @@ -42,11 +42,20 @@ #define WEBGPU_MUL_MAT_SUBGROUP_MATRIX_N 2 // Matrix-vector multiplication parameters -#define WEBGPU_MUL_MAT_VEC_WG_SIZE 256 +#define WEBGPU_MUL_MAT_VEC_WG_SIZE 256 + // Must be multiple of 4 to work with vectorized paths, and must divide // mul_mat_vec wg size -#define WEBGPU_MUL_MAT_VEC_OUTPUTS_PER_WG 64 -#define WEBGPU_MUL_MAT_VEC_TILE_K 256 +#define WEBGPU_MUL_MAT_VEC_FLOAT_OUTPUTS_PER_WG 64 +#define WEBGPU_MUL_MAT_VEC_FLOAT_TILE_K 256 + +#define WEBGPU_MUL_MAT_VEC_LEGACY_Q_OUTPUTS_PER_WG 64 +#define WEBGPU_MUL_MAT_VEC_LEGACY_Q_TILE_K 256 + +// Requires 32 threads per output (wg_size/outputs_per_wg == 32) +#define WEBGPU_MUL_MAT_VEC_K_Q_OUTPUTS_PER_WG 8 +// Requires at least two (and multiple of 2) k-quant blocks per tile +#define WEBGPU_MUL_MAT_VEC_K_Q_TILE_K 512 // default size for legacy matrix multiplication #define WEBGPU_MUL_MAT_WG_SIZE 256 @@ -86,6 +95,11 @@ struct ggml_webgpu_generic_shader_decisions { uint32_t wg_size = 0; }; +struct ggml_webgpu_ssm_conv_shader_decisions { + uint32_t block_size; + uint32_t tokens_per_wg; +}; + /** Argsort **/ struct ggml_webgpu_argsort_shader_lib_context { @@ -122,6 +136,26 @@ struct ggml_webgpu_set_rows_shader_decisions { uint32_t wg_size; }; +/** Set **/ + +struct ggml_webgpu_set_pipeline_key { + ggml_type type; + bool inplace; + + bool operator==(const ggml_webgpu_set_pipeline_key & other) const { + return type == other.type && inplace == other.inplace; + } +}; + +struct ggml_webgpu_set_pipeline_key_hash { + size_t operator()(const ggml_webgpu_set_pipeline_key & key) const { + size_t seed = 0; + ggml_webgpu_hash_combine(seed, key.type); + ggml_webgpu_hash_combine(seed, key.inplace); + return seed; + } +}; + /** Get Rows **/ struct ggml_webgpu_get_rows_pipeline_key { @@ -142,6 +176,26 @@ struct ggml_webgpu_get_rows_pipeline_key_hash { } }; +/** Row Norm **/ + +struct ggml_webgpu_row_norm_pipeline_key { + ggml_op op; + bool inplace; + + bool operator==(const ggml_webgpu_row_norm_pipeline_key & other) const { + return op == other.op && inplace == other.inplace; + } +}; + +struct ggml_webgpu_row_norm_pipeline_key_hash { + size_t operator()(const ggml_webgpu_row_norm_pipeline_key & key) const { + size_t seed = 0; + ggml_webgpu_hash_combine(seed, key.op); + ggml_webgpu_hash_combine(seed, key.inplace); + return seed; + } +}; + /** Pad **/ struct ggml_webgpu_pad_pipeline_key { bool circular; @@ -157,6 +211,67 @@ struct ggml_webgpu_pad_pipeline_key_hash { } }; +/** Solve Tri **/ +struct ggml_webgpu_solve_tri_pipeline_key { + int type; + int n; + int k; + + bool operator==(const ggml_webgpu_solve_tri_pipeline_key & other) const { + return type == other.type && n == other.n && k == other.k; + } +}; + +struct ggml_webgpu_solve_tri_pipeline_key_hash { + size_t operator()(const ggml_webgpu_solve_tri_pipeline_key & key) const { + size_t seed = 0; + ggml_webgpu_hash_combine(seed, key.type); + ggml_webgpu_hash_combine(seed, key.n); + ggml_webgpu_hash_combine(seed, key.k); + return seed; + } +}; + +/** SSM Conv **/ +struct ggml_webgpu_ssm_conv_pipeline_key { + int type; + int vectorized; + + bool operator==(const ggml_webgpu_ssm_conv_pipeline_key & other) const { + return type == other.type && vectorized == other.vectorized; + } +}; + +/** Gated Delta Net **/ +struct ggml_webgpu_gated_delta_net_pipeline_key { + int type; + int s_v; + int kda; + + bool operator==(const ggml_webgpu_gated_delta_net_pipeline_key & other) const { + return type == other.type && s_v == other.s_v && kda == other.kda; + } +}; + +struct ggml_webgpu_gated_delta_net_pipeline_key_hash { + size_t operator()(const ggml_webgpu_gated_delta_net_pipeline_key & key) const { + size_t seed = 0; + ggml_webgpu_hash_combine(seed, key.type); + ggml_webgpu_hash_combine(seed, key.s_v); + ggml_webgpu_hash_combine(seed, key.kda); + return seed; + } +}; + +struct ggml_webgpu_ssm_conv_pipeline_key_hash { + size_t operator()(const ggml_webgpu_ssm_conv_pipeline_key & key) const { + size_t seed = 0; + ggml_webgpu_hash_combine(seed, key.type); + ggml_webgpu_hash_combine(seed, key.vectorized); + return seed; + } +}; + /** Scale **/ struct ggml_webgpu_scale_pipeline_key { @@ -189,6 +304,22 @@ struct ggml_webgpu_concat_pipeline_key_hash { } }; +/** Repeat **/ + +struct ggml_webgpu_repeat_pipeline_key { + int type; + + bool operator==(const ggml_webgpu_repeat_pipeline_key & other) const { return type == other.type; } +}; + +struct ggml_webgpu_repeat_pipeline_key_hash { + size_t operator()(const ggml_webgpu_repeat_pipeline_key & key) const { + size_t seed = 0; + ggml_webgpu_hash_combine(seed, key.type); + return seed; + } +}; + /** Binary **/ struct ggml_webgpu_binary_pipeline_key { @@ -199,7 +330,8 @@ struct ggml_webgpu_binary_pipeline_key { bool src_overlap; bool operator==(const ggml_webgpu_binary_pipeline_key & other) const { - return type == other.type && op == other.op && inplace == other.inplace && overlap == other.overlap && src_overlap == other.src_overlap; + return type == other.type && op == other.op && inplace == other.inplace && overlap == other.overlap && + src_overlap == other.src_overlap; } }; @@ -218,13 +350,15 @@ struct ggml_webgpu_binary_pipeline_key_hash { /** Unary **/ struct ggml_webgpu_unary_pipeline_key { - int type; - int op; - bool is_unary; // many unary operators fall under the GGML_OP_UNARY umbrella - bool inplace; + int type; + int op; + bool is_unary; // many unary operators fall under the GGML_OP_UNARY umbrella + bool inplace; + ggml_tri_type ttype; // only used for GGML_OP_TRI bool operator==(const ggml_webgpu_unary_pipeline_key & other) const { - return type == other.type && op == other.op && is_unary == other.is_unary && inplace == other.inplace; + return type == other.type && op == other.op && is_unary == other.is_unary && inplace == other.inplace && + ttype == other.ttype; } }; @@ -235,6 +369,7 @@ struct ggml_webgpu_unary_pipeline_key_hash { ggml_webgpu_hash_combine(seed, key.op); ggml_webgpu_hash_combine(seed, key.is_unary); ggml_webgpu_hash_combine(seed, key.inplace); + ggml_webgpu_hash_combine(seed, key.ttype); return seed; } }; @@ -409,18 +544,30 @@ class ggml_webgpu_shader_lib { std::unordered_map argsort_pipelines; // key is order std::unordered_map argsort_merge_pipelines; // key is order std::unordered_map cumsum_pipelines; // key is fixed, no variants yet + std::unordered_map + row_norm_pipelines; // op/inplace std::unordered_map get_rows_pipelines; // src_type, vectorized std::unordered_map unary_pipelines; // type/op/inplace std::unordered_map scale_pipelines; // inplace + std::unordered_map + solve_tri_pipelines; // type + std::unordered_map + ssm_conv_pipelines; // type/vectorized + std::unordered_map + gated_delta_net_pipelines; // type/S_v/kda std::unordered_map - pad_pipelines; // circular/non-circular + pad_pipelines; // circular/non-circular std::unordered_map - binary_pipelines; // type/op/inplace/overlap + binary_pipelines; // type/op/inplace/overlap std::unordered_map - concat_pipelines; // type + concat_pipelines; // type + std::unordered_map + repeat_pipelines; // type std::unordered_map flash_attn_pipelines; std::unordered_map set_rows_pipelines; + std::unordered_map set_pipelines; public: ggml_webgpu_shader_lib(wgpu::Device device) { this->device = device; } @@ -451,6 +599,45 @@ class ggml_webgpu_shader_lib { return sum_rows_pipelines[1]; } + webgpu_pipeline get_row_norm_pipeline(const ggml_webgpu_shader_lib_context & context) { + ggml_webgpu_row_norm_pipeline_key key = { + .op = context.dst->op, + .inplace = context.inplace, + }; + + auto it = row_norm_pipelines.find(key); + if (it != row_norm_pipelines.end()) { + return it->second; + } + std::vector defines; + std::string variant; + + switch (key.op) { + case GGML_OP_RMS_NORM: + defines.push_back("RMS_NORM"); + variant = "rms_norm"; + break; + case GGML_OP_L2_NORM: + defines.push_back("L2_NORM"); + variant = "l2_norm"; + break; + default: + GGML_ABORT("Unsupported op for row_norm shader"); + } + + if (key.inplace) { + defines.push_back("INPLACE"); + variant += "_inplace"; + } + + const uint32_t row_norm_wg_size = 128u; + uint32_t wg_size = std::min(context.max_wg_size, row_norm_wg_size); + defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size)); + auto processed = preprocessor.preprocess(wgsl_row_norm, defines); + row_norm_pipelines[key] = ggml_webgpu_create_pipeline(device, processed, variant); + return row_norm_pipelines[key]; + } + webgpu_pipeline get_argmax_pipeline(const ggml_webgpu_shader_lib_context & context) { bool vec4 = context.src0->ne[0] % 4 == 0; @@ -518,6 +705,46 @@ class ggml_webgpu_shader_lib { return set_rows_pipelines[key]; } + webgpu_pipeline get_set_pipeline(const ggml_webgpu_shader_lib_context & context) { + ggml_webgpu_set_pipeline_key key = { .type = context.dst->type, .inplace = context.inplace }; + + auto it = set_pipelines.find(key); + if (it != set_pipelines.end()) { + return it->second; + } + + std::vector defines; + std::string variant = "set"; + + switch (key.type) { + case GGML_TYPE_F32: + defines.push_back("TYPE_F32"); + variant += "_f32"; + break; + case GGML_TYPE_I32: + defines.push_back("TYPE_I32"); + variant += "_i32"; + break; + default: + GGML_ABORT("Unsupported type for set shader"); + } + + if (key.inplace) { + defines.push_back("INPLACE"); + variant += "_inplace"; + } + + defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size)); + + auto processed = preprocessor.preprocess(wgsl_set, defines); + auto decisions = std::make_shared(); + decisions->wg_size = context.max_wg_size; + webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant); + pipeline.context = decisions; + set_pipelines[key] = pipeline; + return set_pipelines[key]; + } + webgpu_pipeline get_cumsum_pipeline(const ggml_webgpu_shader_lib_context & context) { auto it = cumsum_pipelines.find(1); if (it != cumsum_pipelines.end()) { @@ -604,6 +831,7 @@ class ggml_webgpu_shader_lib { switch (key.src_type) { case GGML_TYPE_F32: + defines.push_back("FLOAT_PARALLEL"); if (key.vectorized) { defines.push_back("F32_VEC"); defines.push_back("SRC_TYPE=vec4"); @@ -618,6 +846,7 @@ class ggml_webgpu_shader_lib { variant += "_f32"; break; case GGML_TYPE_F16: + defines.push_back("FLOAT_PARALLEL"); defines.push_back("F16"); defines.push_back("SRC_TYPE=f16"); defines.push_back("DST_TYPE=f32"); @@ -625,6 +854,7 @@ class ggml_webgpu_shader_lib { variant += "_f16"; break; case GGML_TYPE_I32: + defines.push_back("FLOAT_PARALLEL"); defines.push_back("I32"); defines.push_back("SRC_TYPE=i32"); defines.push_back("DST_TYPE=i32"); @@ -703,6 +933,128 @@ class ggml_webgpu_shader_lib { return scale_pipelines[key]; } + webgpu_pipeline get_solve_tri_pipeline(const ggml_webgpu_shader_lib_context & context) { + ggml_webgpu_solve_tri_pipeline_key key = { + .type = context.dst->type, + .n = (int) context.src0->ne[0], + .k = (int) context.src1->ne[0], + }; + + auto it = solve_tri_pipelines.find(key); + if (it != solve_tri_pipelines.end()) { + return it->second; + } + + std::vector defines; + std::string variant = "solve_tri"; + + switch (key.type) { + case GGML_TYPE_F32: + variant += "_f32"; + break; + default: + GGML_ABORT("Unsupported type for solve_tri shader"); + } + + const uint32_t wg_size = std::min((uint32_t) key.n, context.max_wg_size); + const uint32_t k_tile = wg_size; + const uint32_t bytes_per_row = ((uint32_t) key.n + wg_size) * GGML_WEBGPU_F32_SIZE_BYTES; + const uint32_t batch_n = (uint32_t) (context.wg_mem_limit_bytes / bytes_per_row); + + defines.push_back(std::string("N=") + std::to_string(key.n)); + defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size)); + defines.push_back(std::string("K_TILE=") + std::to_string(k_tile)); + defines.push_back(std::string("BATCH_N=") + std::to_string(batch_n)); + + auto processed = preprocessor.preprocess(wgsl_solve_tri, defines); + auto decisions = std::make_shared(); + decisions->wg_size = wg_size; + webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant); + pipeline.context = decisions; + solve_tri_pipelines[key] = pipeline; + return solve_tri_pipelines[key]; + } + + webgpu_pipeline get_ssm_conv_pipeline(const ggml_webgpu_shader_lib_context & context) { + ggml_webgpu_ssm_conv_pipeline_key key = { + .type = context.dst->type, + .vectorized = context.src1->ne[0] == 4, + }; + + auto it = ssm_conv_pipelines.find(key); + if (it != ssm_conv_pipelines.end()) { + return it->second; + } + + std::vector defines; + std::string variant = "ssm_conv"; + + switch (key.type) { + case GGML_TYPE_F32: + variant += "_f32"; + break; + default: + GGML_ABORT("Unsupported type for ssm_conv shader"); + } + + if (key.vectorized) { + defines.push_back("VECTORIZED"); + variant += "_vec4"; + } + + constexpr uint32_t block_size = 32u; + constexpr uint32_t tokens_per_wg = 8u; + + defines.push_back("BLOCK_SIZE=" + std::to_string(block_size) + "u"); + defines.push_back("TOKENS_PER_WG=" + std::to_string(tokens_per_wg) + "u"); + + auto processed = preprocessor.preprocess(wgsl_ssm_conv, defines); + auto decisions = std::make_shared(); + decisions->block_size = block_size; + decisions->tokens_per_wg = tokens_per_wg; + webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant); + pipeline.context = decisions; + ssm_conv_pipelines[key] = pipeline; + return ssm_conv_pipelines[key]; + } + + webgpu_pipeline get_gated_delta_net_pipeline(const ggml_webgpu_shader_lib_context & context) { + ggml_webgpu_gated_delta_net_pipeline_key key = { + .type = context.dst->type, + .s_v = (int) context.src2->ne[0], + .kda = context.src3->ne[0] == context.src2->ne[0], + }; + + auto it = gated_delta_net_pipelines.find(key); + if (it != gated_delta_net_pipelines.end()) { + return it->second; + } + + std::vector defines; + std::string variant = "gated_delta_net"; + + switch (key.type) { + case GGML_TYPE_F32: + variant += "_f32"; + break; + default: + GGML_ABORT("Unsupported type for gated_delta_net shader"); + } + + if (key.kda) { + defines.push_back("KDA"); + variant += "_kda"; + } + + defines.push_back("S_V=" + std::to_string(key.s_v) + "u"); + defines.push_back("WG_SIZE=" + std::to_string(key.s_v) + "u"); + + auto processed = preprocessor.preprocess(wgsl_gated_delta_net, defines); + webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant); + gated_delta_net_pipelines[key] = pipeline; + return gated_delta_net_pipelines[key]; + } + webgpu_pipeline get_pad_pipeline(const ggml_webgpu_shader_lib_context & context) { ggml_webgpu_pad_pipeline_key key = { .circular = ggml_get_op_params_i32(context.dst, 8) != 0 }; @@ -749,6 +1101,36 @@ class ggml_webgpu_shader_lib { std::vector defines; std::string variant = "mul_mat_vec"; + // src0 type (matrix row) + switch (context.src0->type) { + case GGML_TYPE_F32: + defines.push_back("SRC0_INNER_TYPE=f32"); + defines.push_back("MUL_ACC_FLOAT"); + variant += "_f32"; + break; + case GGML_TYPE_F16: + defines.push_back("SRC0_INNER_TYPE=f16"); + defines.push_back("MUL_ACC_FLOAT"); + variant += "_f16"; + break; + default: + { + // Quantized types: use helpers but accumulate in f16 + const struct ggml_type_traits * src0_traits = ggml_get_type_traits(context.src0->type); + std::string src0_name = src0_traits->type_name; + std::string type_upper = src0_name; + variant += "_" + src0_name; + std::transform(type_upper.begin(), type_upper.end(), type_upper.begin(), ::toupper); + + defines.push_back("BYTE_HELPERS"); + defines.push_back("MUL_ACC_" + type_upper); + + // For fast path we always dequantize from f16 inside the shader + defines.push_back("SRC0_INNER_TYPE=f16"); + break; + } + } + // src1 type (vector) switch (context.src1->type) { case GGML_TYPE_F32: @@ -763,39 +1145,21 @@ class ggml_webgpu_shader_lib { GGML_ABORT("Unsupported src1 type for mul_mat_vec shader"); } - // src0 type (matrix row) - switch (context.src0->type) { - case GGML_TYPE_F32: - defines.push_back("SRC0_INNER_TYPE=f32"); - defines.push_back("MUL_ACC_FLOAT"); - break; - case GGML_TYPE_F16: - defines.push_back("SRC0_INNER_TYPE=f16"); - defines.push_back("MUL_ACC_FLOAT"); - break; - default: - { - // Quantized types: use helpers but accumulate in f16 - const struct ggml_type_traits * src0_traits = ggml_get_type_traits(context.src0->type); - std::string src0_name = src0_traits->type_name; - std::string type_upper = src0_name; - std::transform(type_upper.begin(), type_upper.end(), type_upper.begin(), ::toupper); - - defines.push_back("BYTE_HELPERS"); - defines.push_back("MUL_ACC_" + type_upper); - - // For fast path we always dequantize from f16 inside the shader - defines.push_back("SRC0_INNER_TYPE=f16"); - break; - } - } - // VEC/SCALAR controls defines.push_back(key.vectorized ? "VEC" : "SCALAR"); uint32_t wg_size = WEBGPU_MUL_MAT_VEC_WG_SIZE; - uint32_t tile_k = WEBGPU_MUL_MAT_VEC_TILE_K; - uint32_t outputs_per_wg = WEBGPU_MUL_MAT_VEC_OUTPUTS_PER_WG; + uint32_t tile_k = WEBGPU_MUL_MAT_VEC_FLOAT_TILE_K; + uint32_t outputs_per_wg = WEBGPU_MUL_MAT_VEC_FLOAT_OUTPUTS_PER_WG; + + if (key.src0_type >= GGML_TYPE_Q2_K) { + tile_k = WEBGPU_MUL_MAT_VEC_K_Q_TILE_K; + outputs_per_wg = WEBGPU_MUL_MAT_VEC_K_Q_OUTPUTS_PER_WG; + } else if (key.src0_type >= GGML_TYPE_Q4_0) { + tile_k = WEBGPU_MUL_MAT_VEC_LEGACY_Q_TILE_K; + outputs_per_wg = WEBGPU_MUL_MAT_VEC_LEGACY_Q_OUTPUTS_PER_WG; + } + defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size)); defines.push_back(std::string("TILE_K=") + std::to_string(tile_k)); defines.push_back(std::string("OUTPUTS_PER_WG=") + std::to_string(outputs_per_wg)); @@ -1018,6 +1382,7 @@ class ggml_webgpu_shader_lib { .op = op, .is_unary = is_unary, .inplace = context.inplace, + .ttype = (ggml_tri_type) ggml_get_op_params_i32(context.dst, 0), }; auto it = unary_pipelines.find(key); @@ -1048,6 +1413,29 @@ class ggml_webgpu_shader_lib { variant += "_inplace"; } + if (op == GGML_OP_TRI) { + switch (key.ttype) { + case GGML_TRI_TYPE_LOWER: + defines.push_back("TRI_TYPE_LOWER"); + variant += "_tri_type_lower"; + break; + case GGML_TRI_TYPE_LOWER_DIAG: + defines.push_back("TRI_TYPE_LOWER_DIAG"); + variant += "_tri_type_lower_diag"; + break; + case GGML_TRI_TYPE_UPPER: + defines.push_back("TRI_TYPE_UPPER"); + variant += "_tri_type_upper"; + break; + case GGML_TRI_TYPE_UPPER_DIAG: + defines.push_back("TRI_TYPE_UPPER_DIAG"); + variant += "_tri_upper_diag"; + break; + default: + GGML_ABORT("Unsupported ggml_tri_type for unary shader"); + } + } + defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size)); auto processed = preprocessor.preprocess(wgsl_unary, defines); @@ -1061,10 +1449,10 @@ class ggml_webgpu_shader_lib { webgpu_pipeline get_binary_pipeline(const ggml_webgpu_shader_lib_context & context) { ggml_webgpu_binary_pipeline_key key = { - .type = context.dst->type, - .op = context.dst->op, - .inplace = context.inplace, - .overlap = context.overlap, + .type = context.dst->type, + .op = context.dst->op, + .inplace = context.inplace, + .overlap = context.overlap, .src_overlap = context.src_overlap, }; @@ -1125,7 +1513,7 @@ class ggml_webgpu_shader_lib { } std::vector defines; - std::string variant = "concat"; + std::string variant = "concat"; switch (key.type) { case GGML_TYPE_F32: @@ -1142,15 +1530,56 @@ class ggml_webgpu_shader_lib { defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size)); - auto processed = preprocessor.preprocess(wgsl_concat, defines); - auto decisions = std::make_shared(); - decisions->wg_size = context.max_wg_size; + auto processed = preprocessor.preprocess(wgsl_concat, defines); + auto decisions = std::make_shared(); + decisions->wg_size = context.max_wg_size; webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant); - pipeline.context = decisions; - concat_pipelines[key] = pipeline; + pipeline.context = decisions; + concat_pipelines[key] = pipeline; return concat_pipelines[key]; } + webgpu_pipeline get_repeat_pipeline(const ggml_webgpu_shader_lib_context & context) { + ggml_webgpu_repeat_pipeline_key key = { + .type = context.dst->type, + }; + + auto it = repeat_pipelines.find(key); + if (it != repeat_pipelines.end()) { + return it->second; + } + + std::vector defines; + std::string variant = "repeat"; + + switch (key.type) { + case GGML_TYPE_F32: + defines.push_back("TYPE_F32"); + variant += "_f32"; + break; + case GGML_TYPE_I32: + defines.push_back("TYPE_I32"); + variant += "_i32"; + break; + case GGML_TYPE_I16: + defines.push_back("TYPE_I16"); + variant += "_i16"; + break; + default: + GGML_ABORT("Unsupported type for repeat shader"); + } + + defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size)); + + auto processed = preprocessor.preprocess(wgsl_repeat, defines); + auto decisions = std::make_shared(); + decisions->wg_size = context.max_wg_size; + webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant); + pipeline.context = decisions; + repeat_pipelines[key] = pipeline; + return repeat_pipelines[key]; + } + webgpu_pipeline get_flash_attn_pipeline(const ggml_webgpu_shader_lib_context & context) { const bool has_mask = context.src3 != nullptr; const bool has_sinks = context.src4 != nullptr; diff --git a/ggml/src/ggml-webgpu/ggml-webgpu.cpp b/ggml/src/ggml-webgpu/ggml-webgpu.cpp index b2ef2d5901..5e16f84ddd 100644 --- a/ggml/src/ggml-webgpu/ggml-webgpu.cpp +++ b/ggml/src/ggml-webgpu/ggml-webgpu.cpp @@ -8,7 +8,6 @@ #include "ggml-backend-impl.h" #include "ggml-impl.h" #include "ggml-webgpu-shader-lib.hpp" -#include "pre_wgsl.hpp" #ifdef __EMSCRIPTEN__ # include @@ -20,12 +19,18 @@ #include #include #include -#include +#ifdef GGML_WEBGPU_GPU_PROFILE +# include +#endif +#if defined(GGML_WEBGPU_DEBUG) || defined(GGML_WEBGPU_CPU_PROFILE) || defined(GGML_WEBGPU_GPU_PROFILE) +# include +#endif #include #include #include #include #include +#include #include #define ROUNDUP_POW2(x, pow2) (((x) + ((pow2) - 1)) & ~((pow2) - 1)) @@ -70,22 +75,21 @@ static inline void compute_2d_workgroups(uint32_t total_wg, uint32_t max_per_dim #endif // GGML_WEBGPU_CPU_PROFILE #ifdef GGML_WEBGPU_GPU_PROFILE -# define WEBGPU_NUM_TIMESTAMP_QUERY_BUFS 24 +# define WEBGPU_NUM_TIMESTAMP_QUERY_BUFS 32 # define WEBGPU_TIMESTAMP_QUERY_BUF_SIZE_BYTES 16 // e.g. enough for two timestamps #endif /* Constants */ -#define WEBGPU_NUM_PARAM_BUFS 48u -#define WEBGPU_COMMAND_SUBMIT_BATCH_SIZE 16u +#define WEBGPU_NUM_PARAM_BUFS 96u +#define WEBGPU_COMMAND_SUBMIT_BATCH_SIZE 32u #define WEBGPU_WAIT_ANY_TIMEOUT_MS 0 // Maximum number of in-flight submissions per-thread, to avoid exhausting the // parameter buffer pool -#define WEBGPU_MAX_INFLIGHT_SUBS_PER_THREAD WEBGPU_NUM_PARAM_BUFS / WEBGPU_COMMAND_SUBMIT_BATCH_SIZE +#define WEBGPU_MAX_INFLIGHT_SUBS_PER_THREAD (WEBGPU_NUM_PARAM_BUFS / WEBGPU_COMMAND_SUBMIT_BATCH_SIZE) #define WEBGPU_PARAMS_BUF_SIZE_BYTES 128 // enough for 32 parameters -#define WEBGPU_NUM_SET_ROWS_ERROR_BUFS 16 #define WEBGPU_SET_ROWS_ERROR_BUF_SIZE_BYTES 4 -#define WEBGPU_STORAGE_BUF_BINDING_MULT 4 // a storage buffer binding size must be a multiple of 4 +#define WEBGPU_STORAGE_BUF_BINDING_MULT 4 // a storage buffer binding size must be a multiple of 4 // For operations which process a row in parallel, this seems like a reasonable // default @@ -118,14 +122,9 @@ static void ggml_webgpu_create_buffer(wgpu::Device & device, wgpu::BufferUsage usage, const char * label); -struct webgpu_pool_bufs { - wgpu::Buffer host_buf; - wgpu::Buffer dev_buf; -}; - // Holds a pool of parameter buffers for WebGPU operations struct webgpu_buf_pool { - std::vector free; + std::vector free; // The pool must be synchronized because // 1. The memset pool is shared globally by every ggml buffer, @@ -138,7 +137,6 @@ struct webgpu_buf_pool { size_t cur_pool_size; size_t max_pool_size; wgpu::Device device; - wgpu::BufferUsage host_buf_usage; wgpu::BufferUsage dev_buf_usage; size_t buf_size; bool should_grow; @@ -147,53 +145,47 @@ struct webgpu_buf_pool { int num_bufs, size_t buf_size, wgpu::BufferUsage dev_buf_usage, - wgpu::BufferUsage host_buf_usage, bool should_grow = false, size_t max_pool_size = WEBGPU_NUM_PARAM_BUFS * 2) { - this->max_pool_size = max_pool_size; - this->cur_pool_size = num_bufs; - this->device = device; - this->host_buf_usage = host_buf_usage; - this->dev_buf_usage = dev_buf_usage; - this->buf_size = buf_size; - this->should_grow = should_grow; + this->max_pool_size = max_pool_size; + this->cur_pool_size = num_bufs; + this->device = device; + this->dev_buf_usage = dev_buf_usage; + this->buf_size = buf_size; + this->should_grow = should_grow; for (int i = 0; i < num_bufs; i++) { - wgpu::Buffer host_buf; wgpu::Buffer dev_buf; - ggml_webgpu_create_buffer(device, host_buf, buf_size, host_buf_usage, "ggml_webgpu_host_pool_buf"); ggml_webgpu_create_buffer(device, dev_buf, buf_size, dev_buf_usage, "ggml_webgpu_dev_pool_buf"); - free.push_back({ host_buf, dev_buf }); + free.push_back(dev_buf); } } - webgpu_pool_bufs alloc_bufs() { + wgpu::Buffer alloc_bufs() { std::unique_lock lock(mutex); if (!free.empty()) { - webgpu_pool_bufs bufs = free.back(); + wgpu::Buffer buf = free.back(); free.pop_back(); - return bufs; + return buf; } // Try growing the pool if no free buffers if (free.empty() && cur_pool_size < max_pool_size && should_grow) { cur_pool_size++; - wgpu::Buffer host_buf; wgpu::Buffer dev_buf; - ggml_webgpu_create_buffer(device, host_buf, buf_size, host_buf_usage, "ggml_webgpu_host_pool_buf"); ggml_webgpu_create_buffer(device, dev_buf, buf_size, dev_buf_usage, "ggml_webgpu_dev_pool_buf"); - if (!(host_buf && dev_buf)) { + if (!dev_buf) { GGML_ABORT("webgpu_buf_pool: failed to allocate buffers"); } - return webgpu_pool_bufs{ host_buf, dev_buf }; + return dev_buf; } cv.wait(lock, [this] { return !free.empty(); }); - webgpu_pool_bufs bufs = free.back(); + wgpu::Buffer buf = free.back(); free.pop_back(); - return bufs; + return buf; } - void free_bufs(std::vector bufs) { + void free_bufs(std::vector bufs) { std::lock_guard lock(mutex); free.insert(free.end(), bufs.begin(), bufs.end()); cv.notify_all(); @@ -201,12 +193,9 @@ struct webgpu_buf_pool { void cleanup() { std::lock_guard lock(mutex); - for (auto & bufs : free) { - if (bufs.host_buf) { - bufs.host_buf.Destroy(); - } - if (bufs.dev_buf) { - bufs.dev_buf.Destroy(); + for (auto & buf : free) { + if (buf) { + buf.Destroy(); } } free.clear(); @@ -280,10 +269,9 @@ struct webgpu_gpu_profile_buf_pool { #endif struct webgpu_command { - uint32_t num_kernels; - wgpu::CommandBuffer commands; - std::vector params_bufs; - std::optional set_rows_error_bufs; + uint32_t num_kernels; + wgpu::CommandBuffer commands; + std::vector params_bufs; #ifdef GGML_WEBGPU_GPU_PROFILE webgpu_gpu_profile_bufs timestamp_query_bufs; std::string pipeline_name; @@ -358,6 +346,13 @@ struct webgpu_global_context_struct { typedef std::shared_ptr webgpu_global_context; +struct webgpu_submission { + wgpu::FutureWaitInfo submit_done; +#ifdef GGML_WEBGPU_GPU_PROFILE + std::vector profile_futures; +#endif +}; + // All the base objects needed to run operations on a WebGPU device struct webgpu_context_struct { // Points to global instances owned by ggml_backend_webgpu_reg_context @@ -366,11 +361,11 @@ struct webgpu_context_struct { std::unique_ptr shader_lib; webgpu_buf_pool param_buf_pool; - webgpu_buf_pool set_rows_error_buf_pool; + wgpu::Buffer set_rows_dev_error_buf; + wgpu::Buffer set_rows_host_error_buf; std::map> cpy_pipelines; // src_type, dst_type - std::map rms_norm_pipelines; // inplace std::map>> rope_pipelines; // type, ff, inplace std::map>> glu_pipelines; // glu_op, type, split @@ -458,67 +453,94 @@ static void ggml_webgpu_create_buffer(wgpu::Device & device, /** End WebGPU object initializations */ /** WebGPU Actions */ -static void erase_completed(std::vector & futures) { + +static bool ggml_backend_webgpu_handle_wait_status(wgpu::WaitStatus status, bool allow_timeout = false) { + switch (status) { + case wgpu::WaitStatus::Success: + return true; + case wgpu::WaitStatus::TimedOut: + if (allow_timeout) { + return false; + } + GGML_LOG_ERROR("ggml_webgpu: WaitAny timed out unexpectedly\n"); + return false; + case wgpu::WaitStatus::Error: + GGML_LOG_ERROR("ggml_webgpu: WaitAny returned an error\n"); + return false; + default: + GGML_LOG_ERROR("ggml_webgpu: WaitAny returned an unknown status\n"); + return false; + } +} + +#ifdef GGML_WEBGPU_GPU_PROFILE +static void ggml_backend_webgpu_erase_completed_futures(std::vector & futures) { futures.erase(std::remove_if(futures.begin(), futures.end(), [](const wgpu::FutureWaitInfo & info) { return info.completed; }), futures.end()); } -// Wait for the queue to finish processing all submitted work -static void ggml_backend_webgpu_wait(webgpu_global_context & ctx, - std::vector & futures, - bool block = true) { - // If we have too many in-flight submissions, wait on the oldest one first. +static void ggml_backend_webgpu_wait_profile_futures(webgpu_global_context & ctx, + std::vector & futures, + bool block) { if (futures.empty()) { return; } + uint64_t timeout_ms = block ? UINT64_MAX : 0; - while (futures.size() >= WEBGPU_MAX_INFLIGHT_SUBS_PER_THREAD) { - auto waitStatus = ctx->instance.WaitAny(1, &futures[0], UINT64_MAX); - if (waitStatus == wgpu::WaitStatus::Error) { - GGML_LOG_ERROR("ggml_webgpu: WaitAny returned an error\n"); - } - if (futures[0].completed) { - futures.erase(futures.begin()); - } - } - - if (futures.empty()) { - return; - } - if (block) { while (!futures.empty()) { auto waitStatus = ctx->instance.WaitAny(futures.size(), futures.data(), timeout_ms); - switch (waitStatus) { - case wgpu::WaitStatus::Success: - // WaitAny doesn't tell us which future completed, so we must check all futures to see which finished. - erase_completed(futures); - break; - case wgpu::WaitStatus::Error: - GGML_LOG_ERROR("ggml_webgpu: WaitAny returned an error\n"); - break; - default: - GGML_LOG_ERROR("ggml_webgpu: WaitAny returned an unknown status\n"); - break; + if (ggml_backend_webgpu_handle_wait_status(waitStatus)) { + ggml_backend_webgpu_erase_completed_futures(futures); } } } else { - // Poll once and return auto waitStatus = ctx->instance.WaitAny(futures.size(), futures.data(), timeout_ms); - switch (waitStatus) { - case wgpu::WaitStatus::Success: - // WaitAny doesn't tell us which future completed, so we must check all futures to see which finished. - erase_completed(futures); - break; - case wgpu::WaitStatus::TimedOut: - break; - case wgpu::WaitStatus::Error: - GGML_LOG_ERROR("ggml_webgpu: WaitAny returned an error\n"); - break; - default: - GGML_LOG_ERROR("ggml_webgpu: WaitAny returned an unknown status\n"); - break; + if (ggml_backend_webgpu_handle_wait_status(waitStatus, true)) { + ggml_backend_webgpu_erase_completed_futures(futures); + } + } +} +#endif + +// Wait for the queue to finish processing all submitted work +static void ggml_backend_webgpu_wait(webgpu_global_context & ctx, + std::vector & subs, + bool block = true) { + if (subs.empty()) { + return; + } + + bool blocking_wait = block || subs.size() >= WEBGPU_MAX_INFLIGHT_SUBS_PER_THREAD; + while (blocking_wait) { + auto waitStatus = ctx->instance.WaitAny(1, &subs[0].submit_done, 0); + if (ggml_backend_webgpu_handle_wait_status(waitStatus, true)) { +#ifdef GGML_WEBGPU_GPU_PROFILE + ggml_backend_webgpu_wait_profile_futures(ctx, subs[0].profile_futures, true); +#endif + subs.erase(subs.begin()); + } + blocking_wait = (block && !subs.empty()) || subs.size() >= WEBGPU_MAX_INFLIGHT_SUBS_PER_THREAD; + } + + if (subs.empty()) { + return; + } + + // Poll each submit future once and remove completed submissions. + for (auto sub = subs.begin(); sub != subs.end();) { + auto waitStatus = ctx->instance.WaitAny(1, &sub->submit_done, 0); + bool success = ggml_backend_webgpu_handle_wait_status(waitStatus, true); +#ifdef GGML_WEBGPU_GPU_PROFILE + ggml_backend_webgpu_wait_profile_futures(ctx, sub->profile_futures, false); + if (success && sub->profile_futures.empty()) { +#else + if (success) { +#endif + sub = subs.erase(sub); + } else { + ++sub; } } } @@ -554,14 +576,12 @@ static void ggml_backend_webgpu_debug(webgpu_global_context & ctx) { } #endif -static std::vector ggml_backend_webgpu_submit( - webgpu_global_context ctx, - std::vector commands, - webgpu_buf_pool & param_buf_pool, - webgpu_buf_pool * set_rows_error_buf_pool = nullptr) { +static webgpu_submission ggml_backend_webgpu_submit(webgpu_global_context & ctx, + std::vector & commands, + webgpu_buf_pool & param_buf_pool) { std::vector command_buffers; - std::vector params_bufs; - std::vector set_rows_error_bufs; + std::vector params_bufs; + webgpu_submission submission; #ifdef GGML_WEBGPU_GPU_PROFILE std::vector> pipeline_name_and_ts_bufs; #endif @@ -569,14 +589,9 @@ static std::vector ggml_backend_webgpu_submit( for (const auto & command : commands) { command_buffers.push_back(command.commands); params_bufs.insert(params_bufs.end(), command.params_bufs.begin(), command.params_bufs.end()); - if (command.set_rows_error_bufs) { - set_rows_error_bufs.push_back(command.set_rows_error_bufs.value()); - } } ctx->queue.Submit(command_buffers.size(), command_buffers.data()); - std::vector futures; - wgpu::Future p_f = ctx->queue.OnSubmittedWorkDone( wgpu::CallbackMode::AllowSpontaneous, [¶m_buf_pool, params_bufs](wgpu::QueueWorkDoneStatus status, wgpu::StringView message) { @@ -586,27 +601,7 @@ static std::vector ggml_backend_webgpu_submit( // Free the staged buffers param_buf_pool.free_bufs(params_bufs); }); - futures.push_back({ p_f }); - - for (const auto & bufs : set_rows_error_bufs) { - wgpu::Future f = bufs.host_buf.MapAsync( - wgpu::MapMode::Read, 0, bufs.host_buf.GetSize(), wgpu::CallbackMode::AllowSpontaneous, - [set_rows_error_buf_pool, bufs](wgpu::MapAsyncStatus status, wgpu::StringView message) { - if (status != wgpu::MapAsyncStatus::Success) { - GGML_LOG_ERROR("ggml_webgpu: Failed to map error buffer: %s\n", std::string(message).c_str()); - } else { - const uint32_t * error_data = (const uint32_t *) bufs.host_buf.GetConstMappedRange(); - if (*error_data) { - GGML_ABORT("ggml_webgpu: SET_ROWS index > 2^32, unsupported."); - } - // We can't unmap in here due to WebGPU reentrancy limitations. - if (set_rows_error_buf_pool) { - set_rows_error_buf_pool->free_bufs({ bufs }); - } - } - }); - futures.push_back({ f }); - } + submission.submit_done = { p_f }; #ifdef GGML_WEBGPU_GPU_PROFILE for (const auto & command : commands) { @@ -623,14 +618,14 @@ static std::vector ggml_backend_webgpu_submit( // WebGPU timestamps are in ns; convert to ms double elapsed_ms = double(ts_data[1] - ts_data[0]) * 1e-6; ctx->shader_gpu_time_ms[label] += elapsed_ms; - // We can't unmap in here due to WebGPU reentrancy limitations. - ctx->timestamp_query_buf_pool.free_bufs({ ts_bufs }); } + // We can't unmap in here due to WebGPU reentrancy limitations. + ctx->timestamp_query_buf_pool.free_bufs({ ts_bufs }); }); - futures.push_back({ f }); + submission.profile_futures.push_back({ f }); } #endif - return futures; + return submission; } static webgpu_command ggml_backend_webgpu_build_multi( @@ -639,32 +634,21 @@ static webgpu_command ggml_backend_webgpu_build_multi( const std::vector & pipelines, const std::vector> & params_list, const std::vector> & bind_group_entries_list, - const std::vector> & workgroups_list, - const std::optional & set_rows_error_bufs = std::nullopt) { + const std::vector> & workgroups_list) { GGML_ASSERT(pipelines.size() == params_list.size()); GGML_ASSERT(pipelines.size() == bind_group_entries_list.size()); GGML_ASSERT(pipelines.size() == workgroups_list.size()); - std::vector params_bufs_list; - std::vector bind_groups; + std::vector params_bufs_list; + std::vector bind_groups; for (size_t i = 0; i < pipelines.size(); i++) { - webgpu_pool_bufs params_bufs = param_buf_pool.alloc_bufs(); - - ggml_backend_webgpu_map_buffer(ctx, params_bufs.host_buf, wgpu::MapMode::Write, 0, - params_bufs.host_buf.GetSize()); - uint32_t * _params = (uint32_t *) params_bufs.host_buf.GetMappedRange(); - for (size_t j = 0; j < params_list[i].size(); j++) { - _params[j] = params_list[i][j]; - } - params_bufs.host_buf.Unmap(); + wgpu::Buffer params_bufs = param_buf_pool.alloc_bufs(); std::vector entries = bind_group_entries_list[i]; uint32_t params_binding_num = entries.size(); - entries.push_back({ .binding = params_binding_num, - .buffer = params_bufs.dev_buf, - .offset = 0, - .size = params_bufs.dev_buf.GetSize() }); + entries.push_back( + { .binding = params_binding_num, .buffer = params_bufs, .offset = 0, .size = params_bufs.GetSize() }); wgpu::BindGroupDescriptor bind_group_desc; bind_group_desc.layout = pipelines[i].pipeline.GetBindGroupLayout(0); @@ -677,15 +661,8 @@ static webgpu_command ggml_backend_webgpu_build_multi( } wgpu::CommandEncoder encoder = ctx->device.CreateCommandEncoder(); - for (const auto & params_bufs : params_bufs_list) { - encoder.CopyBufferToBuffer(params_bufs.host_buf, 0, params_bufs.dev_buf, 0, params_bufs.dev_buf.GetSize()); - } - - // If there are SET_ROWS operations in this submission, copy their error - // buffers to the host. - if (set_rows_error_bufs) { - encoder.CopyBufferToBuffer(set_rows_error_bufs->dev_buf, 0, set_rows_error_bufs->host_buf, 0, - set_rows_error_bufs->host_buf.GetSize()); + for (size_t i = 0; i < params_bufs_list.size(); i++) { + ctx->queue.WriteBuffer(params_bufs_list[i], 0, params_list[i].data(), params_list[i].size() * sizeof(uint32_t)); } #ifdef GGML_WEBGPU_GPU_PROFILE @@ -718,7 +695,6 @@ static webgpu_command ggml_backend_webgpu_build_multi( webgpu_command result = {}; result.commands = commands; result.params_bufs = params_bufs_list; - result.set_rows_error_bufs = set_rows_error_bufs; result.num_kernels = pipelines.size(); #ifdef GGML_WEBGPU_GPU_PROFILE result.timestamp_query_bufs = ts_bufs; @@ -734,13 +710,13 @@ static webgpu_command ggml_backend_webgpu_build(webgpu_global_context & std::vector params, std::vector bind_group_entries, uint32_t wg_x, - uint32_t wg_y = 1, - std::optional set_rows_error_bufs = std::nullopt) { + uint32_t wg_y = 1) { return ggml_backend_webgpu_build_multi(ctx, param_buf_pool, { pipeline }, - { params }, { bind_group_entries }, { { wg_x, wg_y } }, set_rows_error_bufs); + { std::move(params) }, { std::move(bind_group_entries) }, + { { wg_x, wg_y } }); } static void ggml_backend_webgpu_buffer_memset(webgpu_global_context & ctx, @@ -757,8 +733,9 @@ static void ggml_backend_webgpu_buffer_memset(webgpu_global_context & ctx, webgpu_command command = ggml_backend_webgpu_build(ctx, ctx->memset_buf_pool, ctx->memset_pipelines[0], params, entries, wg_x); - auto futures = ggml_backend_webgpu_submit(ctx, { command }, ctx->memset_buf_pool); - ggml_backend_webgpu_wait(ctx, futures); + std::vector commands = { command }; + std::vector sub = { ggml_backend_webgpu_submit(ctx, commands, ctx->memset_buf_pool) }; + ggml_backend_webgpu_wait(ctx, sub); } /** End WebGPU Actions */ @@ -805,7 +782,8 @@ static void ggml_backend_webgpu_free(ggml_backend_t backend) { std::cout << "\nggml_webgpu: gpu breakdown:\n"; for (const auto & kv : ctx->webgpu_ctx->global_ctx->shader_gpu_time_ms) { double pct = (total_gpu > 0.0) ? (kv.second / total_gpu * 100.0) : 0.0; - std::cout << "ggml_webgpu: " << kv.first << ": " << kv.second << " ms (" << pct << "%)\n"; + std::cout << "ggml_webgpu: " << kv.first << ": " << kv.second << " ms (" << std::fixed << std::setprecision(2) + << pct << "%)\n"; } #endif @@ -902,6 +880,68 @@ static webgpu_command ggml_webgpu_cpy(webgpu_context & ctx, ggml_tensor * src, g params, entries, wg_x); } +static webgpu_command ggml_webgpu_set(webgpu_context & ctx, ggml_tensor * src0, ggml_tensor * src1, ggml_tensor * dst) { + const bool inplace = ggml_webgpu_tensor_equal(src0, dst); + + ggml_webgpu_shader_lib_context shader_lib_ctx = { + .src0 = src0, + .src1 = src1, + .dst = dst, + .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup, + .inplace = inplace, + }; + + webgpu_pipeline pipeline = ctx->shader_lib->get_set_pipeline(shader_lib_ctx); + + auto * decisions = static_cast(pipeline.context.get()); + + const uint32_t ne = inplace ? (uint32_t) ggml_nelements(src1) : (uint32_t) ggml_nelements(dst); + const uint32_t dst_type_size = (uint32_t) ggml_type_size(dst->type); + + std::vector params = { + ne, + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)), + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)), + (uint32_t) (((const int32_t *) dst->op_params)[3] / dst_type_size), + + (uint32_t) (src1->nb[0] / ggml_type_size(src1->type)), + (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)), + (uint32_t) (src1->nb[2] / ggml_type_size(src1->type)), + (uint32_t) (src1->nb[3] / ggml_type_size(src1->type)), + + 1u, + (uint32_t) (((const int32_t *) dst->op_params)[0] / dst_type_size), + (uint32_t) (((const int32_t *) dst->op_params)[1] / dst_type_size), + (uint32_t) (((const int32_t *) dst->op_params)[2] / dst_type_size), + + (uint32_t) src1->ne[0], + (uint32_t) src1->ne[1], + (uint32_t) src1->ne[2], + (uint32_t) src1->ne[3], + }; + + std::vector entries; + uint32_t binding_index = 0; + if (!inplace) { + entries.push_back({ .binding = 0, + .buffer = ggml_webgpu_tensor_buf(src0), + .offset = ggml_webgpu_tensor_align_offset(ctx, src0), + .size = ggml_webgpu_tensor_binding_size(ctx, src0) }); + binding_index++; + } + entries.push_back({ .binding = binding_index, + .buffer = ggml_webgpu_tensor_buf(src1), + .offset = ggml_webgpu_tensor_align_offset(ctx, src1), + .size = ggml_webgpu_tensor_binding_size(ctx, src1) }); + entries.push_back({ .binding = binding_index + 1, + .buffer = ggml_webgpu_tensor_buf(dst), + .offset = ggml_webgpu_tensor_align_offset(ctx, dst), + .size = ggml_webgpu_tensor_binding_size(ctx, dst) }); + + uint32_t wg_x = CEIL_DIV(ne, decisions->wg_size); + return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x); +} + static webgpu_command ggml_webgpu_pad(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) { ggml_webgpu_shader_lib_context shader_lib_ctx = { .src0 = src, .dst = dst, .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup @@ -957,6 +997,208 @@ static webgpu_command ggml_webgpu_pad(webgpu_context & ctx, ggml_tensor * src, g return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x); } +static webgpu_command ggml_webgpu_solve_tri(webgpu_context & ctx, + ggml_tensor * src0, + ggml_tensor * src1, + ggml_tensor * dst) { + ggml_webgpu_shader_lib_context shader_lib_ctx = { + .src0 = src0, + .src1 = src1, + .dst = dst, + .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup, + .wg_mem_limit_bytes = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize, + }; + + webgpu_pipeline pipeline = ctx->shader_lib->get_solve_tri_pipeline(shader_lib_ctx); + + auto * decisions = static_cast(pipeline.context.get()); + + std::vector params = { + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)), + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)), + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)), + + (uint32_t) (src0->nb[0] / ggml_type_size(src0->type)), + (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)), + (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)), + (uint32_t) (src0->nb[3] / ggml_type_size(src0->type)), + + (uint32_t) (src1->nb[0] / ggml_type_size(src1->type)), + (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)), + (uint32_t) (src1->nb[2] / ggml_type_size(src1->type)), + (uint32_t) (src1->nb[3] / ggml_type_size(src1->type)), + + (uint32_t) (dst->nb[0] / ggml_type_size(dst->type)), + (uint32_t) (dst->nb[1] / ggml_type_size(dst->type)), + (uint32_t) (dst->nb[2] / ggml_type_size(dst->type)), + (uint32_t) (dst->nb[3] / ggml_type_size(dst->type)), + + (uint32_t) src1->ne[0], + (uint32_t) dst->ne[2], + (uint32_t) dst->ne[3], + }; + + std::vector entries = { + { .binding = 0, + .buffer = ggml_webgpu_tensor_buf(src0), + .offset = ggml_webgpu_tensor_align_offset(ctx, src0), + .size = ggml_webgpu_tensor_binding_size(ctx, src0) }, + { .binding = 1, + .buffer = ggml_webgpu_tensor_buf(src1), + .offset = ggml_webgpu_tensor_align_offset(ctx, src1), + .size = ggml_webgpu_tensor_binding_size(ctx, src1) }, + { .binding = 2, + .buffer = ggml_webgpu_tensor_buf(dst), + .offset = ggml_webgpu_tensor_align_offset(ctx, dst), + .size = ggml_webgpu_tensor_binding_size(ctx, dst) } + }; + + const uint32_t wg_x = CEIL_DIV((uint32_t) src1->ne[0], decisions->wg_size); + const uint32_t wg_y = (uint32_t) (dst->ne[2] * dst->ne[3]); + return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x, wg_y); +} + +static webgpu_command ggml_webgpu_ssm_conv(webgpu_context & ctx, + ggml_tensor * src0, + ggml_tensor * src1, + ggml_tensor * dst) { + ggml_webgpu_shader_lib_context shader_lib_ctx = { + .src0 = src0, + .src1 = src1, + .dst = dst, + .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup, + }; + + webgpu_pipeline pipeline = ctx->shader_lib->get_ssm_conv_pipeline(shader_lib_ctx); + auto * decisions = static_cast(pipeline.context.get()); + + const uint32_t token_tiles = CEIL_DIV((uint32_t) dst->ne[1], decisions->tokens_per_wg); + + std::vector params = { + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)), + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)), + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)), + + (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)), + (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)), + (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)), + + (uint32_t) (dst->nb[0] / ggml_type_size(dst->type)), + (uint32_t) (dst->nb[1] / ggml_type_size(dst->type)), + (uint32_t) (dst->nb[2] / ggml_type_size(dst->type)), + + (uint32_t) src1->ne[0], + (uint32_t) src0->ne[1], + (uint32_t) dst->ne[1], + (uint32_t) dst->ne[2], + token_tiles, + }; + + std::vector entries = { + { .binding = 0, + .buffer = ggml_webgpu_tensor_buf(src0), + .offset = ggml_webgpu_tensor_align_offset(ctx, src0), + .size = ggml_webgpu_tensor_binding_size(ctx, src0) }, + { .binding = 1, + .buffer = ggml_webgpu_tensor_buf(src1), + .offset = ggml_webgpu_tensor_align_offset(ctx, src1), + .size = ggml_webgpu_tensor_binding_size(ctx, src1) }, + { .binding = 2, + .buffer = ggml_webgpu_tensor_buf(dst), + .offset = ggml_webgpu_tensor_align_offset(ctx, dst), + .size = ggml_webgpu_tensor_binding_size(ctx, dst) } + }; + + const uint32_t wg_x = CEIL_DIV((uint32_t) src0->ne[1], decisions->block_size); + const uint32_t wg_y = token_tiles * (uint32_t) dst->ne[2]; + return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x, wg_y); +} + +static webgpu_command ggml_webgpu_gated_delta_net(webgpu_context & ctx, + ggml_tensor * src0, + ggml_tensor * src1, + ggml_tensor * src2, + ggml_tensor * src3, + ggml_tensor * src4, + ggml_tensor * src5, + ggml_tensor * dst) { + ggml_webgpu_shader_lib_context shader_lib_ctx = { + .src0 = src0, + .src1 = src1, + .src2 = src2, + .src3 = src3, + .src4 = src4, + .dst = dst, + .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup, + }; + + webgpu_pipeline pipeline = ctx->shader_lib->get_gated_delta_net_pipeline(shader_lib_ctx); + + const uint32_t s_v = (uint32_t) src2->ne[0]; + const uint32_t h = (uint32_t) src2->ne[1]; + const uint32_t n_tokens = (uint32_t) src2->ne[2]; + const uint32_t n_seqs = (uint32_t) src2->ne[3]; + const float scale = 1.0f / sqrtf((float) s_v); + uint32_t scale_u32; + memcpy(&scale_u32, &scale, sizeof(scale_u32)); + + std::vector params = { + h, + n_tokens, + n_seqs, + s_v * h * n_tokens * n_seqs, + + (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)), + (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)), + (uint32_t) (src0->nb[3] / ggml_type_size(src0->type)), + + (uint32_t) (src2->nb[1] / ggml_type_size(src2->type)), + (uint32_t) (src2->nb[2] / ggml_type_size(src2->type)), + (uint32_t) (src2->nb[3] / ggml_type_size(src2->type)), + + (uint32_t) (src4->nb[1] / ggml_type_size(src4->type)), + (uint32_t) (src4->nb[2] / ggml_type_size(src4->type)), + (uint32_t) (src4->nb[3] / ggml_type_size(src4->type)), + + (uint32_t) src0->ne[1], + (uint32_t) (src2->ne[3] / src0->ne[3]), + scale_u32, + }; + + std::vector entries = { + { .binding = 0, + .buffer = ggml_webgpu_tensor_buf(src0), + .offset = ggml_webgpu_tensor_align_offset(ctx, src0), + .size = ggml_webgpu_tensor_binding_size(ctx, src0) }, + { .binding = 1, + .buffer = ggml_webgpu_tensor_buf(src1), + .offset = ggml_webgpu_tensor_align_offset(ctx, src1), + .size = ggml_webgpu_tensor_binding_size(ctx, src1) }, + { .binding = 2, + .buffer = ggml_webgpu_tensor_buf(src2), + .offset = ggml_webgpu_tensor_align_offset(ctx, src2), + .size = ggml_webgpu_tensor_binding_size(ctx, src2) }, + { .binding = 3, + .buffer = ggml_webgpu_tensor_buf(src3), + .offset = ggml_webgpu_tensor_align_offset(ctx, src3), + .size = ggml_webgpu_tensor_binding_size(ctx, src3) }, + { .binding = 4, + .buffer = ggml_webgpu_tensor_buf(src4), + .offset = ggml_webgpu_tensor_align_offset(ctx, src4), + .size = ggml_webgpu_tensor_binding_size(ctx, src4) }, + { .binding = 5, + .buffer = ggml_webgpu_tensor_buf(src5), + .offset = ggml_webgpu_tensor_align_offset(ctx, src5), + .size = ggml_webgpu_tensor_binding_size(ctx, src5) }, + { .binding = 6, + .buffer = ggml_webgpu_tensor_buf(dst), + .offset = ggml_webgpu_tensor_align_offset(ctx, dst), + .size = ggml_webgpu_tensor_binding_size(ctx, dst) } + }; + + return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, h, n_seqs); +} + static std::optional ggml_webgpu_set_rows(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * idx, @@ -978,14 +1220,6 @@ static std::optional ggml_webgpu_set_rows(webgpu_context & ctx, auto * decisions = static_cast(pipeline.context.get()); - std::optional error_bufs = std::nullopt; - if (decisions->i64_idx) { - error_bufs = ctx->set_rows_error_buf_pool.alloc_bufs(); - if (error_bufs->host_buf.GetMapState() == wgpu::BufferMapState::Mapped) { - error_bufs->host_buf.Unmap(); - } - } - std::vector params = { (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)), (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, idx) / ggml_type_size(idx->type)), @@ -1018,8 +1252,10 @@ static std::optional ggml_webgpu_set_rows(webgpu_context & ctx, }; if (decisions->i64_idx) { - entries.push_back( - { .binding = 3, .buffer = error_bufs->dev_buf, .offset = 0, .size = error_bufs->dev_buf.GetSize() }); + entries.push_back({ .binding = 3, + .buffer = ctx->set_rows_dev_error_buf, + .offset = 0, + .size = ctx->set_rows_dev_error_buf.GetSize() }); } uint32_t threads; @@ -1029,8 +1265,7 @@ static std::optional ggml_webgpu_set_rows(webgpu_context & ctx, threads = src->ne[0] * src->ne[1] * src->ne[2] * src->ne[3]; } uint32_t wg_x = CEIL_DIV(threads, decisions->wg_size); - return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x, 1, - error_bufs); + return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x, 1); } // Workgroup size is a common constant @@ -1045,6 +1280,8 @@ static webgpu_command ggml_webgpu_get_rows(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * idx, ggml_tensor * dst) { + const bool float_parallel = src->type == GGML_TYPE_F32 || src->type == GGML_TYPE_F16 || src->type == GGML_TYPE_I32; + ggml_webgpu_shader_lib_context shader_lib_ctx = { .src0 = src, .src1 = nullptr, @@ -1089,7 +1326,10 @@ static webgpu_command ggml_webgpu_get_rows(webgpu_context & ctx, .size = ggml_webgpu_tensor_binding_size(ctx, dst) } }; - uint32_t wg_x = CEIL_DIV(dst->ne[1] * dst->ne[2] * dst->ne[3], decisions->wg_size); + uint32_t blocks_per_row = (uint32_t) (dst->ne[0] / (src->type == GGML_TYPE_F32 && dst->ne[0] % 4 == 0 ? 4 : 1)); + uint32_t total_rows = (uint32_t) (dst->ne[1] * dst->ne[2] * dst->ne[3]); + uint32_t total_threads = float_parallel ? blocks_per_row * total_rows : total_rows; + uint32_t wg_x = CEIL_DIV(total_threads, decisions->wg_size); return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x); } @@ -1108,12 +1348,26 @@ static webgpu_command ggml_webgpu_mul_mat(webgpu_context & ctx, use_fast = (src0->type == GGML_TYPE_F16); break; case GGML_TYPE_F32: + // TODO: implement better mat-mat for k-quants, mat-vec for all k-quants except q6_K switch (src0->type) { case GGML_TYPE_F32: case GGML_TYPE_F16: case GGML_TYPE_Q4_0: + case GGML_TYPE_Q4_1: + case GGML_TYPE_Q5_0: + case GGML_TYPE_Q5_1: + case GGML_TYPE_Q8_0: + case GGML_TYPE_Q8_1: + case GGML_TYPE_Q6_K: use_fast = true; break; + case GGML_TYPE_Q2_K: + case GGML_TYPE_Q3_K: + case GGML_TYPE_Q4_K: + case GGML_TYPE_Q5_K: + // we don't have fast mat-vec for these types, but we do have (semi) fast mat-mat + use_fast = !is_vec; + break; default: break; } @@ -1187,17 +1441,18 @@ static webgpu_command ggml_webgpu_mul_mat(webgpu_context & ctx, const uint32_t max_wg_per_dim = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupsPerDimension; if (use_fast && is_vec) { - auto decisions = static_cast(pipeline.context.get()); + auto * decisions = static_cast(pipeline.context.get()); uint32_t batches = dst->ne[2] * dst->ne[3]; uint32_t output_groups = CEIL_DIV(dst->ne[0], decisions->outputs_per_wg); uint32_t total_wg = output_groups * batches; compute_2d_workgroups(total_wg, max_wg_per_dim, wg_x, wg_y); } else if (use_fast) { - auto decisions = static_cast(pipeline.context.get()); + auto * decisions = static_cast(pipeline.context.get()); // Fast-path tiled/subgroup calculations - uint32_t wg_m, wg_n; + uint32_t wg_m; + uint32_t wg_n; if (decisions->use_subgroup_matrix) { uint32_t wg_m_sg_tile = decisions->subgroup_m * decisions->subgroup_matrix_m * ctx->global_ctx->capabilities.sg_mat_m; @@ -1215,7 +1470,7 @@ static webgpu_command ggml_webgpu_mul_mat(webgpu_context & ctx, compute_2d_workgroups(total_wg, max_wg_per_dim, wg_x, wg_y); } else { // legacy - auto decisions = static_cast(pipeline.context.get()); + auto * decisions = static_cast(pipeline.context.get()); uint32_t wg_size = decisions->wg_size; uint32_t total_wg = CEIL_DIV(dst->ne[0] * dst->ne[1] * dst->ne[2] * dst->ne[3], wg_size); compute_2d_workgroups(total_wg, max_wg_per_dim, wg_x, wg_y); @@ -1514,10 +1769,10 @@ static webgpu_command ggml_webgpu_binary_op(webgpu_context & ctx, } static webgpu_command ggml_webgpu_concat(webgpu_context & ctx, - ggml_tensor * src0, - ggml_tensor * src1, - ggml_tensor * dst) { - uint32_t ne = (uint32_t) ggml_nelements(dst); + ggml_tensor * src0, + ggml_tensor * src1, + ggml_tensor * dst) { + uint32_t ne = (uint32_t) ggml_nelements(dst); uint32_t dim = (uint32_t) dst->op_params[0]; std::vector params = { @@ -1538,28 +1793,22 @@ static webgpu_command ggml_webgpu_concat(webgpu_context & ctx, (uint32_t) dst->ne[2], (uint32_t) dst->ne[3], dim, - (uint32_t)src0->ne[dim] + (uint32_t) src0->ne[dim] }; std::vector entries = { - { - .binding = 0, - .buffer = ggml_webgpu_tensor_buf(src0), - .offset = ggml_webgpu_tensor_align_offset(ctx, src0), - .size = ggml_webgpu_tensor_binding_size(ctx, src0) - }, - { - .binding = 1, - .buffer = ggml_webgpu_tensor_buf(src1), - .offset = ggml_webgpu_tensor_align_offset(ctx, src1), - .size = ggml_webgpu_tensor_binding_size(ctx, src1) - }, - { - .binding = 2, - .buffer = ggml_webgpu_tensor_buf(dst), - .offset = ggml_webgpu_tensor_align_offset(ctx, dst), - .size = ggml_webgpu_tensor_binding_size(ctx, dst) - } + { .binding = 0, + .buffer = ggml_webgpu_tensor_buf(src0), + .offset = ggml_webgpu_tensor_align_offset(ctx, src0), + .size = ggml_webgpu_tensor_binding_size(ctx, src0) }, + { .binding = 1, + .buffer = ggml_webgpu_tensor_buf(src1), + .offset = ggml_webgpu_tensor_align_offset(ctx, src1), + .size = ggml_webgpu_tensor_binding_size(ctx, src1) }, + { .binding = 2, + .buffer = ggml_webgpu_tensor_buf(dst), + .offset = ggml_webgpu_tensor_align_offset(ctx, dst), + .size = ggml_webgpu_tensor_binding_size(ctx, dst) } }; ggml_webgpu_shader_lib_context shader_lib_ctx = { @@ -1569,14 +1818,56 @@ static webgpu_command ggml_webgpu_concat(webgpu_context & ctx, .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup, }; - webgpu_pipeline pipeline = ctx->shader_lib->get_concat_pipeline(shader_lib_ctx); - auto * decisions = static_cast(pipeline.context.get()); - uint32_t wg_x = CEIL_DIV(ne, decisions->wg_size); + webgpu_pipeline pipeline = ctx->shader_lib->get_concat_pipeline(shader_lib_ctx); + auto * decisions = static_cast(pipeline.context.get()); + uint32_t wg_x = CEIL_DIV(ne, decisions->wg_size); return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x); } -static webgpu_command ggml_webgpu_rms_norm(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) { - int inplace = ggml_webgpu_tensor_equal(src, dst); +static webgpu_command ggml_webgpu_repeat(webgpu_context & ctx, ggml_tensor * src0, ggml_tensor * dst) { + uint32_t ne = (uint32_t) ggml_nelements(dst); + + std::vector params = { ne, + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / + ggml_type_size(src0->type)), + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)), + (uint32_t) (src0->nb[0] / ggml_type_size(src0->type)), + (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)), + (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)), + (uint32_t) (src0->nb[3] / ggml_type_size(src0->type)), + (uint32_t) (src0->ne[0]), + (uint32_t) (src0->ne[1]), + (uint32_t) (src0->ne[2]), + (uint32_t) (src0->ne[3]), + (uint32_t) (dst->ne[0]), + (uint32_t) (dst->ne[1]), + (uint32_t) (dst->ne[2]) }; + + std::vector entries = { + { .binding = 0, + .buffer = ggml_webgpu_tensor_buf(src0), + .offset = ggml_webgpu_tensor_align_offset(ctx, src0), + .size = ggml_webgpu_tensor_binding_size(ctx, src0) }, + { .binding = 1, + .buffer = ggml_webgpu_tensor_buf(dst), + .offset = ggml_webgpu_tensor_align_offset(ctx, dst), + .size = ggml_webgpu_tensor_binding_size(ctx, dst) } + }; + + ggml_webgpu_shader_lib_context shader_lib_ctx = { + .src0 = src0, + .dst = dst, + .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup, + }; + + webgpu_pipeline pipeline = ctx->shader_lib->get_repeat_pipeline(shader_lib_ctx); + auto * decisions = static_cast(pipeline.context.get()); + uint32_t wg_x = CEIL_DIV(ne, decisions->wg_size); + return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x); +} + +static webgpu_command ggml_webgpu_row_norm(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) { + bool inplace = ggml_webgpu_tensor_equal(src, dst); std::vector params = { (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)), @@ -1607,8 +1898,15 @@ static webgpu_command ggml_webgpu_rms_norm(webgpu_context & ctx, ggml_tensor * s .size = ggml_webgpu_tensor_binding_size(ctx, dst) }); } - return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, ctx->rms_norm_pipelines[inplace], params, - entries, ggml_nrows(src)); + ggml_webgpu_shader_lib_context shader_lib_ctx = { + .src0 = src, + .dst = dst, + .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup, + .inplace = inplace, + }; + + webgpu_pipeline pipeline = ctx->shader_lib->get_row_norm_pipeline(shader_lib_ctx); + return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, ggml_nrows(src)); } static webgpu_command ggml_webgpu_rope(webgpu_context & ctx, @@ -1623,7 +1921,12 @@ static webgpu_command ggml_webgpu_rope(webgpu_context & ctx, const int mode = ((int32_t *) dst->op_params)[2]; const int n_ctx_orig = ((int32_t *) dst->op_params)[4]; - float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow; + float freq_base; + float freq_scale; + float ext_factor; + float attn_factor; + float beta_fast; + float beta_slow; memcpy(&freq_base, (int32_t *) dst->op_params + 5, sizeof(float)); memcpy(&freq_scale, (int32_t *) dst->op_params + 6, sizeof(float)); memcpy(&ext_factor, (int32_t *) dst->op_params + 7, sizeof(float)); @@ -2142,6 +2445,8 @@ static std::optional ggml_webgpu_encode_node(webgpu_context ctx, case GGML_OP_CPY: case GGML_OP_CONT: return ggml_webgpu_cpy(ctx, src0, node); + case GGML_OP_SET: + return ggml_webgpu_set(ctx, src0, src1, node); case GGML_OP_SET_ROWS: return ggml_webgpu_set_rows(ctx, src0, src1, node); case GGML_OP_GET_ROWS: @@ -2161,8 +2466,11 @@ static std::optional ggml_webgpu_encode_node(webgpu_context ctx, return ggml_webgpu_binary_op(ctx, src0, src1, node); case GGML_OP_CONCAT: return ggml_webgpu_concat(ctx, src0, src1, node); + case GGML_OP_REPEAT: + return ggml_webgpu_repeat(ctx, src0, node); case GGML_OP_RMS_NORM: - return ggml_webgpu_rms_norm(ctx, src0, node); + case GGML_OP_L2_NORM: + return ggml_webgpu_row_norm(ctx, src0, node); case GGML_OP_ROPE: return ggml_webgpu_rope(ctx, src0, src1, src2, node); case GGML_OP_GLU: @@ -2172,27 +2480,27 @@ static std::optional ggml_webgpu_encode_node(webgpu_context ctx, case GGML_OP_SOFT_MAX: return ggml_webgpu_soft_max(ctx, src0, src1, src2, node); case GGML_OP_UNARY: - return ggml_webgpu_unary_op(ctx, src0, node); case GGML_OP_CLAMP: - return ggml_webgpu_unary_op(ctx, src0, node); case GGML_OP_FILL: - return ggml_webgpu_unary_op(ctx, src0, node); case GGML_OP_LOG: - return ggml_webgpu_unary_op(ctx, src0, node); case GGML_OP_SQR: - return ggml_webgpu_unary_op(ctx, src0, node); case GGML_OP_SQRT: - return ggml_webgpu_unary_op(ctx, src0, node); case GGML_OP_SIN: - return ggml_webgpu_unary_op(ctx, src0, node); case GGML_OP_COS: + case GGML_OP_DIAG: + case GGML_OP_TRI: return ggml_webgpu_unary_op(ctx, src0, node); + case GGML_OP_SOLVE_TRI: + return ggml_webgpu_solve_tri(ctx, src0, src1, node); + case GGML_OP_SSM_CONV: + return ggml_webgpu_ssm_conv(ctx, src0, src1, node); + case GGML_OP_GATED_DELTA_NET: + return ggml_webgpu_gated_delta_net(ctx, src0, src1, src2, node->src[3], node->src[4], node->src[5], node); case GGML_OP_PAD: return ggml_webgpu_pad(ctx, src0, node); case GGML_OP_ARGMAX: return ggml_webgpu_argmax(ctx, src0, node); case GGML_OP_ARGSORT: - return ggml_webgpu_argsort(ctx, src0, node); case GGML_OP_TOP_K: // we reuse the same argsort implementation for top_k return ggml_webgpu_argsort(ctx, src0, node); @@ -2214,33 +2522,51 @@ static ggml_status ggml_backend_webgpu_graph_compute(ggml_backend_t backend, str WEBGPU_CPU_PROFILE_TOTAL_START(graph_compute); - std::vector commands; - std::vector futures; - uint32_t num_batched_kernels = 0; + std::vector commands; + std::vector subs; + uint32_t num_batched_kernels = 0; + bool contains_set_rows = false; + for (int i = 0; i < cgraph->n_nodes; i++) { + if (cgraph->nodes[i]->op == GGML_OP_SET_ROWS) { + contains_set_rows = true; + } if (auto cmd = ggml_webgpu_encode_node(ctx, cgraph->nodes[i])) { commands.push_back(*cmd); num_batched_kernels += cmd.value().num_kernels; } if (num_batched_kernels >= WEBGPU_COMMAND_SUBMIT_BATCH_SIZE) { - num_batched_kernels = 0; - std::vector compute_futures = ggml_backend_webgpu_submit( - ctx->global_ctx, commands, ctx->param_buf_pool, &ctx->set_rows_error_buf_pool); - futures.insert(futures.end(), compute_futures.begin(), compute_futures.end()); + num_batched_kernels = 0; + subs.push_back(ggml_backend_webgpu_submit(ctx->global_ctx, commands, ctx->param_buf_pool)); // Process events and check for completed submissions ctx->global_ctx->instance.ProcessEvents(); - ggml_backend_webgpu_wait(ctx->global_ctx, futures, false); + ggml_backend_webgpu_wait(ctx->global_ctx, subs, false); commands.clear(); } } if (!commands.empty()) { - auto new_futures = - ggml_backend_webgpu_submit(ctx->global_ctx, commands, ctx->param_buf_pool, &ctx->set_rows_error_buf_pool); - futures.insert(futures.end(), new_futures.begin(), new_futures.end()); + subs.push_back(ggml_backend_webgpu_submit(ctx->global_ctx, commands, ctx->param_buf_pool)); + commands.clear(); } - ggml_backend_webgpu_wait(ctx->global_ctx, futures); + // If there are SET_ROWS operations in this graph, copy the error buffers to the host for checking. + if (contains_set_rows) { + wgpu::CommandEncoder encoder = ctx->global_ctx->device.CreateCommandEncoder(); + encoder.CopyBufferToBuffer(ctx->set_rows_dev_error_buf, 0, ctx->set_rows_host_error_buf, 0, + ctx->set_rows_host_error_buf.GetSize()); + wgpu::CommandBuffer set_rows_commands = encoder.Finish(); + ctx->global_ctx->queue.Submit(1, &set_rows_commands); + ggml_backend_webgpu_map_buffer(ctx->global_ctx, ctx->set_rows_host_error_buf, wgpu::MapMode::Read, 0, + ctx->set_rows_host_error_buf.GetSize()); + const uint32_t * error_data = (const uint32_t *) ctx->set_rows_host_error_buf.GetConstMappedRange(); + if (*error_data) { + GGML_ABORT("ggml_webgpu: SET_ROWS index > 2^32, unsupported."); + } + ctx->set_rows_host_error_buf.Unmap(); + } + + ggml_backend_webgpu_wait(ctx->global_ctx, subs); WEBGPU_CPU_PROFILE_TOTAL_END(graph_compute, ctx->global_ctx); return GGML_STATUS_SUCCESS; } @@ -2574,15 +2900,6 @@ static void ggml_webgpu_init_cpy_pipeline(webgpu_context & webgpu_ctx) { ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_cpy_f16_f16, "cpy_f16_f16", constants); } -static void ggml_webgpu_init_rms_norm_pipeline(webgpu_context & webgpu_ctx) { - std::vector constants = ggml_webgpu_wg_size_entry(WEBGPU_ROW_SPLIT_WG_SIZE); - - webgpu_ctx->rms_norm_pipelines[0] = - ggml_webgpu_create_pipeline(webgpu_ctx->global_ctx->device, wgsl_rms_norm, "rms_norm", constants); - webgpu_ctx->rms_norm_pipelines[1] = ggml_webgpu_create_pipeline( - webgpu_ctx->global_ctx->device, wgsl_rms_norm_inplace, "rms_norm_inplace", constants); -} - static void ggml_webgpu_init_rope_pipeline(webgpu_context & webgpu_ctx) { std::vector constants = ggml_webgpu_wg_size_entry(WEBGPU_MAX_WG_SIZE); @@ -2859,13 +3176,14 @@ static webgpu_context initialize_webgpu_context(ggml_backend_dev_t dev) { webgpu_ctx->param_buf_pool.init(webgpu_ctx->global_ctx->device, WEBGPU_NUM_PARAM_BUFS, WEBGPU_PARAMS_BUF_SIZE_BYTES, wgpu::BufferUsage::CopyDst | wgpu::BufferUsage::Uniform, wgpu::BufferUsage::CopySrc | wgpu::BufferUsage::MapWrite, true); - webgpu_ctx->set_rows_error_buf_pool.init(webgpu_ctx->global_ctx->device, WEBGPU_NUM_SET_ROWS_ERROR_BUFS, - WEBGPU_SET_ROWS_ERROR_BUF_SIZE_BYTES, - wgpu::BufferUsage::CopySrc | wgpu::BufferUsage::Storage, - wgpu::BufferUsage::CopyDst | wgpu::BufferUsage::MapRead); + ggml_webgpu_create_buffer(webgpu_ctx->global_ctx->device, webgpu_ctx->set_rows_dev_error_buf, + WEBGPU_SET_ROWS_ERROR_BUF_SIZE_BYTES, + wgpu::BufferUsage::Storage | wgpu::BufferUsage::CopySrc, "set_rows_dev_error_buf"); + ggml_webgpu_create_buffer(webgpu_ctx->global_ctx->device, webgpu_ctx->set_rows_host_error_buf, + WEBGPU_SET_ROWS_ERROR_BUF_SIZE_BYTES, + wgpu::BufferUsage::CopyDst | wgpu::BufferUsage::MapRead, "set_rows_host_error_buf"); ggml_webgpu_init_cpy_pipeline(webgpu_ctx); - ggml_webgpu_init_rms_norm_pipeline(webgpu_ctx); ggml_webgpu_init_rope_pipeline(webgpu_ctx); ggml_webgpu_init_glu_pipeline(webgpu_ctx); ggml_webgpu_init_soft_max_pipeline(webgpu_ctx); @@ -2908,17 +3226,16 @@ static ggml_backend_buffer_type_t ggml_backend_webgpu_device_get_buffer_type(ggm static struct ggml_backend_buffer_type ggml_backend_webgpu_buffer_type = { /* .iface = */ { - /* .get_name = */ ggml_backend_webgpu_buffer_type_get_name, - /* .alloc_buffer = */ - ggml_backend_webgpu_buffer_type_alloc_buffer, /* .get_alignment = */ - ggml_backend_webgpu_buffer_type_get_alignment, /* .get_max_size = */ - ggml_backend_webgpu_buffer_type_get_max_size, /* .get_alloc_size = */ - ggml_backend_webgpu_buffer_type_get_alloc_size, /* .is_host = */ NULL, // defaults to false + /* .get_name = */ ggml_backend_webgpu_buffer_type_get_name, + /* .alloc_buffer = */ ggml_backend_webgpu_buffer_type_alloc_buffer, + /* .get_alignment = */ ggml_backend_webgpu_buffer_type_get_alignment, + /* .get_max_size = */ ggml_backend_webgpu_buffer_type_get_max_size, + /* .get_alloc_size = */ ggml_backend_webgpu_buffer_type_get_alloc_size, + /* .is_host = */ NULL, // defaults to false }, /* .device = */ dev, - /* .context = */ - NULL + /* .context = */ NULL }; return &ggml_backend_webgpu_buffer_type; @@ -2991,12 +3308,19 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const case GGML_OP_CONCAT: supports_op = (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_I32); break; + case GGML_OP_REPEAT: + supports_op = (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_I32 || src0->type == GGML_TYPE_I16); + break; case GGML_OP_CPY: case GGML_OP_CONT: supports_op = ((op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) && (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16)) || (op->type == GGML_TYPE_I32 && src0->type == GGML_TYPE_F32); break; + case GGML_OP_SET: + supports_op = src0->type == src1->type && src0->type == op->type && + (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_I32); + break; case GGML_OP_SET_ROWS: supports_op = ((op->type == GGML_TYPE_F16 || op->type == GGML_TYPE_F32) && src0->type == GGML_TYPE_F32 && (src1->type == GGML_TYPE_I64 || src1->type == GGML_TYPE_I32)); @@ -3074,6 +3398,7 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const break; } case GGML_OP_RMS_NORM: + case GGML_OP_L2_NORM: supports_op = op->type == GGML_TYPE_F32 && src0->type == GGML_TYPE_F32; break; case GGML_OP_ROPE: @@ -3136,6 +3461,27 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const } } break; + case GGML_OP_TRI: + supports_op = op->type == GGML_TYPE_F32 && src0->type == GGML_TYPE_F32; + break; + case GGML_OP_DIAG: + supports_op = op->type == GGML_TYPE_F32 && src0->type == GGML_TYPE_F32; + break; + case GGML_OP_SOLVE_TRI: + supports_op = op->type == GGML_TYPE_F32 && src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32; + break; + case GGML_OP_SSM_CONV: + supports_op = op->type == GGML_TYPE_F32; + break; + case GGML_OP_GATED_DELTA_NET: + { + const uint32_t s_v = (uint32_t) src2->ne[0]; + supports_op = op->type == GGML_TYPE_F32 && src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && + src2->type == GGML_TYPE_F32 && op->src[3]->type == GGML_TYPE_F32 && + op->src[4]->type == GGML_TYPE_F32 && op->src[5]->type == GGML_TYPE_F32 && + s_v <= ctx->webgpu_global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup; + } + break; case GGML_OP_CLAMP: supports_op = (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) && (src0->type == op->type); break; diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/gated_delta_net.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/gated_delta_net.wgsl new file mode 100644 index 0000000000..f9d98fda40 --- /dev/null +++ b/ggml/src/ggml-webgpu/wgsl-shaders/gated_delta_net.wgsl @@ -0,0 +1,132 @@ +@group(0) @binding(0) +var src_q: array; + +@group(0) @binding(1) +var src_k: array; + +@group(0) @binding(2) +var src_v: array; + +@group(0) @binding(3) +var src_g: array; + +@group(0) @binding(4) +var src_beta: array; + +@group(0) @binding(5) +var src_state: array; + +@group(0) @binding(6) +var dst: array; + +struct Params { + h: u32, + n_tokens: u32, + n_seqs: u32, + s_off: u32, + + sq1: u32, + sq2: u32, + sq3: u32, + + sv1: u32, + sv2: u32, + sv3: u32, + + sb1: u32, + sb2: u32, + sb3: u32, + + neq1: u32, + rq3: u32, + scale: f32, +}; + +@group(0) @binding(7) +var params: Params; + +var sh_k: array; +var sh_q: array; +var sh_g: array; + +@compute @workgroup_size(WG_SIZE) +fn main( + @builtin(workgroup_id) workgroup_id: vec3, + @builtin(local_invocation_id) local_id: vec3 +) { + let head_id = workgroup_id.x; + let seq_id = workgroup_id.y; + let col = local_id.x; + + let iq1 = head_id % params.neq1; + let iq3 = seq_id / params.rq3; + + let state_size = S_V * S_V; + let state_base = (seq_id * params.h + head_id) * state_size; + + var state: array; + for (var i = 0u; i < S_V; i++) { + state[i] = src_state[state_base + col * S_V + i]; + } + + var attn_off = (seq_id * params.n_tokens * params.h + head_id) * S_V; + + for (var t = 0u; t < params.n_tokens; t++) { + let q_off = iq3 * params.sq3 + t * params.sq2 + iq1 * params.sq1; + let k_off = q_off; + let v_off = seq_id * params.sv3 + t * params.sv2 + head_id * params.sv1; + let gb_off = seq_id * params.sb3 + t * params.sb2 + head_id * params.sb1; + + sh_q[col] = src_q[q_off + col]; + sh_k[col] = src_k[k_off + col]; + +#ifdef KDA + let g_base = gb_off * S_V; + sh_g[col] = exp(src_g[g_base + col]); +#endif + + workgroupBarrier(); + + let v_val = src_v[v_off + col]; + let beta_val = src_beta[gb_off]; + + var kv_col = 0.0; + var delta_col = 0.0; + var attn_col = 0.0; + +#ifdef KDA + for (var i = 0u; i < S_V; i++) { + kv_col += (sh_g[i] * state[i]) * sh_k[i]; + } + + delta_col = (v_val - kv_col) * beta_val; + + for (var i = 0u; i < S_V; i++) { + state[i] = sh_g[i] * state[i] + sh_k[i] * delta_col; + attn_col += state[i] * sh_q[i]; + } +#else + let g_val = exp(src_g[gb_off]); + + for (var i = 0u; i < S_V; i++) { + kv_col += state[i] * sh_k[i]; + } + + delta_col = (v_val - g_val * kv_col) * beta_val; + + for (var i = 0u; i < S_V; i++) { + state[i] = g_val * state[i] + sh_k[i] * delta_col; + attn_col += state[i] * sh_q[i]; + } +#endif + + dst[attn_off + col] = attn_col * params.scale; + attn_off += S_V * params.h; + + workgroupBarrier(); + } + + for (var i = 0u; i < S_V; i++) { + dst[params.s_off + state_base + col * S_V + i] = state[i]; + } +} diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.wgsl index b10800e36d..d9eb6a3567 100644 --- a/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.wgsl +++ b/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.wgsl @@ -640,6 +640,35 @@ var params: Params; @compute @workgroup_size(WG_SIZE) fn main(@builtin(global_invocation_id) gid: vec3) { +#ifdef FLOAT_PARALLEL + let blocks_per_row = params.ne0 / BLOCK_SIZE; + let row_count = params.n_rows * params.ne2 * params.ne3; + + if (gid.x >= blocks_per_row * row_count) { + return; + } + + let block_idx = gid.x % blocks_per_row; + var row_idx = gid.x / blocks_per_row; + let i_dst3 = row_idx / (params.ne2 * params.n_rows); + + row_idx = row_idx % (params.ne2 * params.n_rows); + let i_dst2 = row_idx / params.n_rows; + let i_dst1 = row_idx % params.n_rows; + + let i_idx2 = i_dst3 % params.idx2; + let i_idx1 = i_dst2 % params.idx1; + let i_idx0 = i_dst1; + + let i_idx = params.offset_idx + i_idx0 * params.stride_idx0 + i_idx1 * params.stride_idx1 + i_idx2 * params.stride_idx2; + + let idx_val = u32(idx[i_idx]); + + let i_src_row = params.offset_src + idx_val * params.stride_src1 + i_dst2 * params.stride_src2 + i_dst3 * params.stride_src3; + let i_dst_row = params.offset_dst + i_dst1 * params.stride_dst1 + i_dst2 * params.stride_dst2 + i_dst3 * params.stride_dst3; + + copy_elements(i_src_row, i_dst_row, block_idx); +#else if (gid.x >= params.n_rows * params.ne2 * params.ne3) { return; } @@ -664,5 +693,5 @@ fn main(@builtin(global_invocation_id) gid: vec3) { for (var i: u32 = 0; i < params.ne0/BLOCK_SIZE; i++) { copy_elements(i_src_row, i_dst_row, i); } +#endif } - diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl index 5c1074ebc1..de60ebbcf2 100644 --- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl +++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl @@ -11,7 +11,7 @@ fn store_shmem(val: vec4, idx: u32) { shmem[idx + 2] = val.z; shmem[idx + 3] = val.w; } -#endif +#endif // VEC #ifdef SCALAR #define VEC_SIZE 1 @@ -23,7 +23,7 @@ fn store_shmem(val: vec4, idx: u32) { fn store_shmem(val: f16, idx: u32) { shmem[idx] = val; } -#endif +#endif // SCALAR #ifdef INIT_SRC0_SHMEM_FLOAT fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { @@ -40,7 +40,7 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3 store_shmem(SHMEM_TYPE(src0_val), elem_idx); } } -#endif +#endif // INIT_SRC0_SHMEM_FLOAT #ifdef INIT_SRC1_SHMEM_FLOAT fn init_shmem_src1(thread_id: u32, batch_offset: u32, offset_n: u32, k_outer: u32) { @@ -57,7 +57,7 @@ fn init_shmem_src1(thread_id: u32, batch_offset: u32, offset_n: u32, k_outer: u3 store_shmem(SHMEM_TYPE(src1_val), TILE_SRC0_SHMEM + elem_idx); } } -#endif +#endif // INIT_SRC1_SHMEM_FLOAT #ifdef INIT_SRC0_SHMEM_Q4_0 const BLOCK_SIZE = 32u; @@ -100,4 +100,667 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3 } } } -#endif +#endif // INIT_SRC0_SHMEM_Q4_0 + +#ifdef INIT_SRC0_SHMEM_Q4_1 +const BLOCK_SIZE = 32u; +// the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types. +override BLOCKS_K = TILE_K/BLOCK_SIZE; +const NQ = 16u; +const F16_PER_BLOCK = 10u; // 1 scale + 8 packed weights + 1 mean +const WEIGHTS_PER_F16 = 4u; // 4 weights per f16 +const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + for (var i = thread_id * NQ; i < TILE_SRC0_SHMEM; i += TOTAL_WORKGROUP_SIZE * NQ) { + let blck_idx = i / BLOCK_SIZE; + let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16; + let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u; + + let tile_m = blck_idx / BLOCKS_K; + let global_m = offset_m + tile_m; + let block_k = blck_idx % BLOCKS_K; + let global_k = k_outer / BLOCK_SIZE + block_k; + + if (global_m < params.m && global_k < params.k / BLOCK_SIZE) { + let src0_idx = batch_offset + global_m * params.stride_01 + global_k; + let scale_idx = src0_idx * F16_PER_BLOCK; + let d = src0[scale_idx]; + let m = src0[scale_idx + 1u]; + + for (var j = 0u; j < F16_PER_THREAD; j += 2) { + let q_0 = src0[scale_idx + 2u + block_offset + j]; + let q_1 = src0[scale_idx + 2u + block_offset + j + 1]; + + let q_packed = bitcast(vec2(q_0, q_1)); + for (var k = 0u; k < 4u; k++) { + let q_byte = get_byte(q_packed, k); + let q_lo = f16(q_byte & 0xF) * d + m; + let q_hi = f16((q_byte >> 4) & 0xF) * d + m; + shmem[shmem_idx + j * 2 + k] = q_lo; + shmem[shmem_idx + j * 2 + k + 16u] = q_hi; + } + } + } + } +} +#endif // INIT_SRC0_SHMEM_Q4_1 + +#ifdef INIT_SRC0_SHMEM_Q5_0 +// 32 weights per block, each at 4 bits each = 32 * 4 = 128 bits / 16 = 8 f16s per block +const BLOCK_SIZE = 32u; +// the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types. +// tile_k is defined as 32u, so blocks_k ends up being 1 always +override BLOCKS_K = TILE_K / BLOCK_SIZE; +const NQ = 16u; +const F16_PER_BLOCK = 11u; // 1 scale + 2 qh + 8 packed weights +const WEIGHTS_PER_F16 = 4u; // 4 weights per f16 +const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; // 16 / 4 = 4 f16s per thread, each thread should handle 4 f16s * 4 weights per = 16 weights + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + + for (var i = thread_id * NQ; i < TILE_SRC0_SHMEM; i += TOTAL_WORKGROUP_SIZE * NQ) { + let blck_idx = i / BLOCK_SIZE; + let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16; + let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u; + + let tile_m = blck_idx / BLOCKS_K; + let global_m = offset_m + tile_m; + let block_k = blck_idx % BLOCKS_K; + let global_k = k_outer / BLOCK_SIZE + block_k; + + if (global_m < params.m && global_k < params.k / BLOCK_SIZE) { + let src0_idx = batch_offset + global_m * params.stride_01 + global_k; + let scale_idx = src0_idx * F16_PER_BLOCK; + + let d = src0[scale_idx]; + let qh0 = src0[scale_idx + 1u]; + let qh1 = src0[scale_idx + 2u]; + let qh_packed = bitcast(vec2(qh0, qh1)); + + for (var j = 0u; j < 2; j++) { + let q_0 = src0[scale_idx + 3u + block_offset + (j*2)]; + let q_1 = src0[scale_idx + 3u + block_offset + (j*2) + 1u]; + + let q_packed = bitcast(vec2(q_0, q_1)); + + let j_adjusted = j + (block_offset / 2u); + + + for (var k = 0u; k < 4u; k++) { + let q_byte = get_byte(q_packed, k); + + let qh_hi = (qh_packed >> (j_adjusted * 4 + k + 12)) & 0x10; + let q_hi = (f16(((q_byte >> 4) & 0xF) | qh_hi) - 16.0) * d; + let qh_lo = ((qh_packed >> (j_adjusted * 4 + k)) << 4) & 0x10; + let q_lo = (f16((q_byte & 0xF) | qh_lo) - 16.0) * d; + + shmem[shmem_idx + j * 4u + k] = q_lo; // store first weight + shmem[shmem_idx + j * 4u + k + 16u] = q_hi; // store second weight + } + } + } + } +} +#endif // INIT_SRC0_SHMEM_Q5_0 + +#ifdef INIT_SRC0_SHMEM_Q5_1 +// 32 weights per block, each at 4 bits each = 32 * 4 = 128 bits / 16 = 8 f16s per block +const BLOCK_SIZE = 32u; +// the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types. +// tile_k is defined as 32u, so blocks_k ends up being 1 always +override BLOCKS_K = TILE_K / BLOCK_SIZE; +const NQ = 16u; +const F16_PER_BLOCK = 12u; // 1 scale + 2 qh + 8 packed weights + 1 mean +const WEIGHTS_PER_F16 = 4u; // 4 weights per f16 +const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; // 16 / 4 = 4 f16s per thread, each thread should handle 4 f16s * 4 weights per = 16 weights + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + + for (var i = thread_id * NQ; i < TILE_SRC0_SHMEM; i += TOTAL_WORKGROUP_SIZE * NQ) { + let blck_idx = i / BLOCK_SIZE; + let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16; + let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u; + + let tile_m = blck_idx / BLOCKS_K; + let global_m = offset_m + tile_m; + let block_k = blck_idx % BLOCKS_K; + let global_k = k_outer / BLOCK_SIZE + block_k; + + if (global_m < params.m && global_k < params.k / BLOCK_SIZE) { + let src0_idx = batch_offset + global_m * params.stride_01 + global_k; + let scale_idx = src0_idx * F16_PER_BLOCK; + + let d = src0[scale_idx]; + let m = src0[scale_idx + 1u]; + let qh0 = src0[scale_idx + 2u]; + let qh1 = src0[scale_idx + 3u]; + let qh_packed = bitcast(vec2(qh0, qh1)); + + for (var j = 0u; j < 2; j++) { + + let q_0 = src0[scale_idx + 4u + block_offset + (j*2)]; + let q_1 = src0[scale_idx + 4u + block_offset + (j*2) + 1u]; + + let q_packed = bitcast(vec2(q_0, q_1)); + + let j_adjusted = j + (block_offset / 2u); + + + for (var k = 0u; k < 4u; k++) { + let q_byte = get_byte(q_packed, k); + + let qh_hi = (qh_packed >> (j_adjusted * 4 + k + 12)) & 0x10; + let q_hi = (f16(((q_byte >> 4) & 0xF) | qh_hi)) * d + m; + let qh_lo = ((qh_packed >> (j_adjusted * 4 + k)) << 4) & 0x10; + let q_lo = (f16((q_byte & 0xF) | qh_lo)) * d + m; + + shmem[shmem_idx + j * 4u + k] = q_lo; // store first weight + shmem[shmem_idx + j * 4u + k + 16u] = q_hi; // store second weight + } + } + } + } +} +#endif // INIT_SRC0_SHMEM_Q5_1 + +#ifdef INIT_SRC0_SHMEM_Q8_0 +const BLOCK_SIZE = 32u; +// the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types. +override BLOCKS_K = TILE_K/BLOCK_SIZE; +const NQ = 16u; +const F16_PER_BLOCK = 17u; // 1 scale + 16 in array of weights +const WEIGHTS_PER_F16 = 2u; // 2 8-bit weights per f16 +const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; // 8 f16s per thread + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + for (var i = thread_id * NQ; i < TILE_SRC0_SHMEM; i += TOTAL_WORKGROUP_SIZE * NQ) { + let blck_idx = i / BLOCK_SIZE; + let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16; + let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u; + + let tile_m = blck_idx / BLOCKS_K; + let global_m = offset_m + tile_m; + let block_k = blck_idx % BLOCKS_K; + let global_k = k_outer / BLOCK_SIZE + block_k; + + if (global_m < params.m && global_k < params.k / BLOCK_SIZE) { + let src0_idx = batch_offset + global_m * params.stride_01 + global_k; + let scale_idx = src0_idx * F16_PER_BLOCK; + let d = src0[scale_idx]; + + for (var j = 0u; j < F16_PER_THREAD; j+=2) { + let q_0 = src0[scale_idx + 1u + block_offset + j]; + let q_1 = src0[scale_idx + 1u + block_offset + j + 1]; + + let q_packed = bitcast(vec2(q_0, q_1)); + for (var k = 0u; k < 4u; k++) { + let q_byte = get_byte_i32(q_packed, k); + + let q_val = f16(q_byte) * d; + shmem[shmem_idx + j * 2 + k] = q_val; + } + } + } + } +} +#endif // INIT_SRC0_SHMEM_Q8_0 + +#ifdef INIT_SRC0_SHMEM_Q8_1 +const BLOCK_SIZE = 32u; +// the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types. +override BLOCKS_K = TILE_K/BLOCK_SIZE; +const NQ = 16u; +const F16_PER_BLOCK = 18u; // 1 scale + 1 mean + 8 32-bit values in array of weights +const WEIGHTS_PER_F16 = 2u; // 2 8-bit weights per f16 +const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; // 8 f16s per thread, 2 threads per block + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + for (var i = thread_id * NQ; i < TILE_SRC0_SHMEM; i += TOTAL_WORKGROUP_SIZE * NQ) { + let blck_idx = i / BLOCK_SIZE; + let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16; + let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u; + + let tile_m = blck_idx / BLOCKS_K; + let global_m = offset_m + tile_m; + let block_k = blck_idx % BLOCKS_K; + let global_k = k_outer / BLOCK_SIZE + block_k; + + if (global_m < params.m && global_k < params.k / BLOCK_SIZE) { + let src0_idx = batch_offset + global_m * params.stride_01 + global_k; + let scale_idx = src0_idx * F16_PER_BLOCK; + let d = src0[scale_idx]; + let m = src0[scale_idx + 1u]; + + for (var j = 0u; j < F16_PER_THREAD; j+=2) { + let q_0 = src0[scale_idx + 2u + block_offset + j]; + let q_1 = src0[scale_idx + 2u + block_offset + j + 1]; + + let q_packed = bitcast(vec2(q_0, q_1)); + for (var k = 0u; k < 4u; k++) { + let q_byte = get_byte_i32(q_packed, k); + + let q_val = f16(q_byte) * d + m; + shmem[shmem_idx + j * 2 + k] = q_val; + } + } + } + } +} +#endif // INIT_SRC0_SHMEM_Q8_1 + +#ifdef INIT_SRC0_SHMEM_Q2_K +const BLOCK_SIZE = 256u; +const F16_PER_BLOCK = 42u; + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + // Use standard thread layout instead of lane/row_group + for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) { + let tile_m = elem_idx / TILE_K; + let tile_k = elem_idx % TILE_K; + + let global_m = offset_m + tile_m; + let global_k = k_outer + tile_k; + + if (global_m >= params.m || global_k >= params.k) { + shmem[elem_idx] = f16(0.0); + continue; + } + + let block_k = global_k / BLOCK_SIZE; + let k_in_block = global_k % BLOCK_SIZE; + + let src0_idx = batch_offset + global_m * params.stride_01 + block_k; + let scale_idx = src0_idx * F16_PER_BLOCK; + + let d = src0[scale_idx + 40u]; + let dmin = src0[scale_idx + 41u]; + + // Decode the element at position k_in_block + let block_of_32 = k_in_block / 32u; + let pos_in_32 = k_in_block % 32u; + + let q_b_idx = (block_of_32 / 4u) * 32u; + let shift = (block_of_32 % 4u) * 2u; + let k = (pos_in_32 / 16u) * 16u; + let l = pos_in_32 % 16u; + + let is = k_in_block / 16u; + + let sc_0 = src0[scale_idx + 2u * (is / 4u)]; + let sc_1 = src0[scale_idx + 2u * (is / 4u) + 1u]; + let sc_packed = bitcast(vec2(sc_0, sc_1)); + let sc = get_byte(sc_packed, is % 4u); + + let dl = d * f16(sc & 0xFu); + let ml = dmin * f16(sc >> 4u); + + let q_idx = q_b_idx + k + l; + let q_0 = src0[scale_idx + 8u + 2u * (q_idx / 4u)]; + let q_1 = src0[scale_idx + 8u + 2u * (q_idx / 4u) + 1u]; + let q_packed = bitcast(vec2(q_0, q_1)); + let q_byte = get_byte(q_packed, q_idx % 4u); + let qs_val = (q_byte >> shift) & 3u; + + let q_val = f16(qs_val) * dl - ml; + shmem[elem_idx] = q_val; + } +} +#endif // INIT_SRC0_SHMEM_Q2_K + +#ifdef INIT_SRC0_SHMEM_Q3_K +const BLOCK_SIZE = 256u; +const F16_PER_BLOCK = 55u; + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) { + let tile_m = elem_idx / TILE_K; + let tile_k = elem_idx % TILE_K; + + let global_m = offset_m + tile_m; + let global_k = k_outer + tile_k; + + if (global_m >= params.m || global_k >= params.k) { + shmem[elem_idx] = f16(0.0); + continue; + } + + let block_k = global_k / BLOCK_SIZE; + let k_in_block = global_k % BLOCK_SIZE; + + let src0_idx = batch_offset + global_m * params.stride_01 + block_k; + let scale_idx = src0_idx * F16_PER_BLOCK; + + let d = src0[scale_idx + 54u]; + + // Load and unpack scales + let kmask1: u32 = 0x03030303u; + let kmask2: u32 = 0x0f0f0f0fu; + + var scale_vals: array; + for (var i: u32 = 0u; i < 4u; i++) { + let scale_0 = src0[scale_idx + 48u + (2u*i)]; + let scale_1 = src0[scale_idx + 48u + (2u*i) + 1u]; + scale_vals[i] = bitcast(vec2(scale_0, scale_1)); + } + + var tmp: u32 = scale_vals[2]; + scale_vals[2] = ((scale_vals[0] >> 4u) & kmask2) | (((tmp >> 4u) & kmask1) << 4u); + scale_vals[3] = ((scale_vals[1] >> 4u) & kmask2) | (((tmp >> 6u) & kmask1) << 4u); + scale_vals[0] = (scale_vals[0] & kmask2) | ((tmp & kmask1) << 4u); + scale_vals[1] = (scale_vals[1] & kmask2) | (((tmp >> 2u) & kmask1) << 4u); + + // Load hmask and qs arrays + var hmask_vals: array; + for (var i: u32 = 0u; i < 8u; i++) { + let hmask_0 = src0[scale_idx + (2u*i)]; + let hmask_1 = src0[scale_idx + (2u*i) + 1u]; + hmask_vals[i] = bitcast(vec2(hmask_0, hmask_1)); + } + + var qs_vals: array; + for (var i: u32 = 0u; i < 16u; i++) { + let qs_0 = src0[scale_idx + 16u + (2u*i)]; + let qs_1 = src0[scale_idx + 16u + (2u*i) + 1u]; + qs_vals[i] = bitcast(vec2(qs_0, qs_1)); + } + + let half = k_in_block / 128u; // 0 or 1 + let pos_in_half = k_in_block % 128u; // 0-127 + let shift_group = pos_in_half / 32u; // 0-3 + let pos_in_32 = pos_in_half % 32u; // 0-31 + let k_group = pos_in_32 / 16u; // 0 or 1 + let l = pos_in_32 % 16u; // 0-15 + + let q_b_idx = half * 32u; // 0 or 32 + let shift = shift_group * 2u; // 0, 2, 4, 6 + let k = k_group * 16u; // 0 or 16 + let is = k_in_block / 16u; // 0-15 + + // m increments every 32 elements across entire 256 element block + let m_shift = k_in_block / 32u; // 0-7 + let m: u32 = 1u << m_shift; // 1,2,4,8,16,32,64,128 + + let sc = get_byte(scale_vals[is / 4u], is % 4u); + let dl = d * (f16(sc) - 32.0); + + let q_idx = q_b_idx + k + l; + let hm_idx = k + l; + + let q_byte = get_byte(qs_vals[q_idx / 4u], q_idx % 4u); + let hmask_byte = get_byte(hmask_vals[hm_idx / 4u], hm_idx % 4u); + + let hm = select(4.0, 0.0, (hmask_byte & m) != 0); + let qs_val = (q_byte >> shift) & 3u; + + let q_val = (f16(qs_val) - f16(hm)) * dl; + shmem[elem_idx] = q_val; + } +} + +#endif // INIT_SRC0_SHMEM_Q3_K + +#ifdef INIT_SRC0_SHMEM_Q4_K +const BLOCK_SIZE = 256u; +const F16_PER_BLOCK = 72u; + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) { + let tile_m = elem_idx / TILE_K; + let tile_k = elem_idx % TILE_K; + + let global_m = offset_m + tile_m; + let global_k = k_outer + tile_k; + + if (global_m >= params.m || global_k >= params.k) { + shmem[elem_idx] = f16(0.0); + continue; + } + + let block_k = global_k / BLOCK_SIZE; + let k_in_block = global_k % BLOCK_SIZE; + + let src0_idx = batch_offset + global_m * params.stride_01 + block_k; + let scale_idx = src0_idx * F16_PER_BLOCK; + + let d = src0[scale_idx]; + let dmin = src0[scale_idx + 1u]; + + // Load packed scales + var scale_vals: array; + for (var i: u32 = 0u; i < 3u; i++) { + let scale_0 = src0[scale_idx + 2u + (2u*i)]; + let scale_1 = src0[scale_idx + 2u + (2u*i) + 1u]; + scale_vals[i] = bitcast(vec2(scale_0, scale_1)); + } + + // Map k_in_block to loop structure: + // Outer loop over 64-element groups (alternating q_b_idx) + // Inner loop over 2 shifts per group + let group_of_64 = k_in_block / 64u; // 0-3 (maps to q_b_idx) + let pos_in_64 = k_in_block % 64u; // 0-63 + let shift_group = pos_in_64 / 32u; // 0 or 1 + let l = pos_in_64 % 32u; // 0-31 + + let q_b_idx = group_of_64 * 32u; // 0, 32, 64, 96 + let shift = shift_group * 4u; // 0 or 4 + let is = k_in_block / 32u; // 0-7 + + var sc: u32; + var mn: u32; + + if (is < 4u) { + let sc_byte = get_byte(scale_vals[is / 4u], is % 4u); + let min_byte = get_byte(scale_vals[(is + 4u) / 4u], is % 4u); + sc = sc_byte & 63u; + mn = min_byte & 63u; + } else { + let sc_min_lo = get_byte(scale_vals[(is + 4u) / 4u], (is + 4u) % 4u); + let sc_hi = get_byte(scale_vals[(is - 4u) / 4u], (is - 4u) % 4u); + let min_hi = get_byte(scale_vals[is / 4u], is % 4u); + + sc = (sc_min_lo & 0xFu) | ((sc_hi >> 6u) << 4u); + mn = (sc_min_lo >> 4u) | ((min_hi >> 6u) << 4u); + } + + let dl = d * f16(sc); + let ml = dmin * f16(mn); + + let q_idx = q_b_idx + l; + let q_0 = src0[scale_idx + 8u + 2u * (q_idx / 4u)]; + let q_1 = src0[scale_idx + 8u + 2u * (q_idx / 4u) + 1u]; + let q_packed = bitcast(vec2(q_0, q_1)); + + let q_byte = get_byte(q_packed, q_idx % 4u); + let qs_val = (q_byte >> shift) & 0xFu; + + let q_val = f16(qs_val) * dl - ml; + shmem[elem_idx] = q_val; + } +} +#endif // INIT_SRC0_SHMEM_Q4_K + +#ifdef INIT_SRC0_SHMEM_Q5_K +const BLOCK_SIZE = 256u; +const F16_PER_BLOCK = 88u; + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) { + let tile_m = elem_idx / TILE_K; + let tile_k = elem_idx % TILE_K; + + let global_m = offset_m + tile_m; + let global_k = k_outer + tile_k; + + if (global_m >= params.m || global_k >= params.k) { + shmem[elem_idx] = f16(0.0); + continue; + } + + let block_k = global_k / BLOCK_SIZE; + let k_in_block = global_k % BLOCK_SIZE; + + let src0_idx = batch_offset + global_m * params.stride_01 + block_k; + let scale_idx = src0_idx * F16_PER_BLOCK; + + let d = src0[scale_idx]; + let dmin = src0[scale_idx + 1u]; + + // Load packed scales + var scale_vals: array; + for (var i: u32 = 0u; i < 3u; i++) { + let scale_0 = src0[scale_idx + 2u + (2u*i)]; + let scale_1 = src0[scale_idx + 2u + (2u*i) + 1u]; + scale_vals[i] = bitcast(vec2(scale_0, scale_1)); + } + + // The original loop processes elements in groups of 64 + // Each group of 64: q_b_idx cycles through [0,32,64,96], shift cycles [0,4] + // But u increments EVERY 32 elements (after each l loop) + let group_of_64 = k_in_block / 64u; // 0-3 + let pos_in_64 = k_in_block % 64u; // 0-63 + let shift_group = pos_in_64 / 32u; // 0 or 1 + let l = pos_in_64 % 32u; // 0-31 + + let q_b_idx = group_of_64 * 32u; // 0, 32, 64, 96 + let shift = shift_group * 4u; // 0 or 4 + let is = k_in_block / 32u; // 0-7 + + // u increments every 32 elements (0->1, 1->2, 2->4, 3->8, 4->16, 5->32, 6->64, 7->128) + let u_shift = k_in_block / 32u; // 0-7 + let u: u32 = 1u << u_shift; + + var sc: u32; + var mn: u32; + + if (is < 4u) { + let sc_byte = get_byte(scale_vals[is / 4u], is % 4u); + let min_byte = get_byte(scale_vals[(is + 4u) / 4u], is % 4u); + sc = sc_byte & 63u; + mn = min_byte & 63u; + } else { + let sc_min_lo = get_byte(scale_vals[(is + 4u) / 4u], (is + 4u) % 4u); + let sc_hi = get_byte(scale_vals[(is - 4u) / 4u], (is - 4u) % 4u); + let min_hi = get_byte(scale_vals[is / 4u], is % 4u); + + sc = (sc_min_lo & 0xFu) | ((sc_hi >> 6u) << 4u); + mn = (sc_min_lo >> 4u) | ((min_hi >> 6u) << 4u); + } + + let dl = d * f16(sc); + let ml = dmin * f16(mn); + + let q_idx = q_b_idx + l; + let q_0 = src0[scale_idx + 24u + 2u * (q_idx / 4u)]; + let q_1 = src0[scale_idx + 24u + 2u * (q_idx / 4u) + 1u]; + let q_packed = bitcast(vec2(q_0, q_1)); + + let q_byte = get_byte(q_packed, q_idx % 4u); + + let qh_0 = src0[scale_idx + 8u + 2u * (l / 4u)]; + let qh_1 = src0[scale_idx + 8u + 2u * (l / 4u) + 1u]; + let qh_packed = bitcast(vec2(qh_0, qh_1)); + + let qh_byte = get_byte(qh_packed, l % 4u); + + let qs_val = (q_byte >> shift) & 0xFu; + let qh_val = select(0.0, 16.0, (qh_byte & u) != 0); + + let q_val = (f16(qs_val) + f16(qh_val)) * dl - ml; + shmem[elem_idx] = q_val; + } +} + +#endif // INIT_SRC0_SHMEM_Q5_K + +#ifdef INIT_SRC0_SHMEM_Q6_K +const BLOCK_SIZE = 256u; +const F16_PER_BLOCK = 105u; + +fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) { + for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) { + let tile_m = elem_idx / TILE_K; + let tile_k = elem_idx % TILE_K; + + let global_m = offset_m + tile_m; + let global_k = k_outer + tile_k; + + if (global_m >= params.m || global_k >= params.k) { + shmem[elem_idx] = f16(0.0); + continue; + } + + let block_k = global_k / BLOCK_SIZE; + let k_in_block = global_k % BLOCK_SIZE; + + let src0_idx = batch_offset + global_m * params.stride_01 + block_k; + let scale_idx = src0_idx * F16_PER_BLOCK; + + let half = k_in_block / 128u; + let pos_in_half = k_in_block % 128u; + let quarter = pos_in_half / 32u; + let l = pos_in_half % 32u; + + let ql_b_idx = half * 64u; + let qh_b_idx = half * 32u; + let sc_b_idx = half * 8u; + + // Load only ql13 word needed + let ql13_flat = ql_b_idx + l; + let ql13_word = ql13_flat / 4u; + let ql13 = bitcast(vec2( + src0[scale_idx + 2u * ql13_word], + src0[scale_idx + 2u * ql13_word + 1u] + )); + let ql13_b = get_byte(ql13, ql13_flat % 4u); + + // Load only ql24 word needed + let ql24_flat = ql_b_idx + l + 32u; + let ql24_word = ql24_flat / 4u; + let ql24 = bitcast(vec2( + src0[scale_idx + 2u * ql24_word], + src0[scale_idx + 2u * ql24_word + 1u] + )); + let ql24_b = get_byte(ql24, ql24_flat % 4u); + + // Load only qh word needed + let qh_flat = qh_b_idx + l; + let qh_word = qh_flat / 4u; + let qh = bitcast(vec2( + src0[scale_idx + 64u + 2u * qh_word], + src0[scale_idx + 64u + 2u * qh_word + 1u] + )); + let qh_b = get_byte(qh, qh_flat % 4u); + + let q1 = f16((ql13_b & 0xFu) | ((qh_b & 3u) << 4u)) - f16(32.0); + let q2 = f16((ql24_b & 0xFu) | (((qh_b >> 2u) & 3u) << 4u)) - f16(32.0); + let q3 = f16((ql13_b >> 4u) | (((qh_b >> 4u) & 3u) << 4u)) - f16(32.0); + let q4 = f16((ql24_b >> 4u) | (((qh_b >> 6u) & 3u) << 4u)) - f16(32.0); + + // Load only the scale word needed + let is = l / 16u; + let sc_idx = sc_b_idx + is + quarter * 2u; + let sc_word = sc_idx / 4u; + let sc = bitcast(vec2( + src0[scale_idx + 96u + 2u * sc_word], + src0[scale_idx + 96u + 2u * sc_word + 1u] + )); + let sc_val = get_byte_i32(sc, sc_idx % 4u); + + let d = src0[scale_idx + 104u]; + + var q_val: f16; + if (quarter == 0u) { + q_val = q1; + } else if (quarter == 1u) { + q_val = q2; + } else if (quarter == 2u) { + q_val = q3; + } else { + q_val = q4; + } + + shmem[elem_idx] = d * f16(sc_val) * q_val; + } +} +#endif // INIT_SRC0_SHMEM_Q6_K diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.wgsl index 761e3017c1..b1da421a69 100644 --- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.wgsl +++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.wgsl @@ -50,6 +50,7 @@ fn get_local_m(thread_id: u32) -> u32 { const TOTAL_WORKGROUP_SIZE = WORKGROUP_SIZE_M * WORKGROUP_SIZE_N; const TILE_SRC0_SHMEM = TILE_K * WORKGROUP_SIZE_M * TILE_M; const TILE_SRC1_SHMEM = TILE_K * WORKGROUP_SIZE_N * TILE_N; + var shmem: array; @compute @workgroup_size(TOTAL_WORKGROUP_SIZE) diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl index f9ea95e07b..94f4bae11f 100644 --- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl +++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl @@ -1,4 +1,3 @@ - enable f16; #include "common_decls.tmpl" @@ -84,6 +83,294 @@ fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 { } #endif +#ifdef MUL_ACC_Q4_1 + +const BLOCK_SIZE = 32; +const NQ = 16u; // number of weights per thread +const F16_PER_BLOCK = 10u; +const WEIGHTS_PER_F16 = 4u; // 4 weights per f16 +const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; + +fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 { + var local_sum = 0.0; + for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) { + let blck_idx = i / BLOCK_SIZE; + let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16; + let scale_idx = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * F16_PER_BLOCK; + // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17] + let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u; + let d = f32(src0[scale_idx]); + let m = f32(src0[scale_idx + 1u]); + for (var j = 0u; j < F16_PER_THREAD; j += 2) { + let q_0 = src0[scale_idx + 2u + block_offset + j]; + let q_1 = src0[scale_idx + 2u + block_offset + j + 1]; + let q_packed = bitcast(vec2(q_0, q_1)); + for (var k: u32 = 0; k < 4; k++) { + let q_byte = get_byte(q_packed, k); + let q_hi = f32((q_byte >> 4) & 0xF) * d + m; + let q_lo = f32(q_byte & 0xF) * d + m; + local_sum += q_lo * shared_vector[shmem_idx + j * 2 + k]; + local_sum += q_hi * shared_vector[shmem_idx + j * 2 + k + 16]; + } + } + } + return local_sum; +} +#endif + +#ifdef MUL_ACC_Q5_0 + +const BLOCK_SIZE = 32; +const NQ = 16u; // number of weights per thread +const F16_PER_BLOCK = 11u; +const WEIGHTS_PER_F16 = 4u; // 4 weights per f16 +const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; + +fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 { + var local_sum = 0.0; + for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) { + let blck_idx = i / BLOCK_SIZE; + let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16; + let scale_idx = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * F16_PER_BLOCK; + // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17] + let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u; + let d = f32(src0[scale_idx]); + let qh0 = src0[scale_idx + 1u]; + let qh1 = src0[scale_idx + 2u]; + let qh_packed = bitcast(vec2(qh0, qh1)); + + for (var j = 0u; j < 2; j++) { + let q_0 = src0[scale_idx + 3u + block_offset + (j*2)]; + let q_1 = src0[scale_idx + 3u + block_offset + (j*2) + 1u]; + let q_packed = bitcast(vec2(q_0, q_1)); + + let j_adjusted = j + (block_offset / 2u); + + for (var k: u32 = 0; k < 4; k++) { + let q_byte = get_byte(q_packed, k); + + let qh_hi = (qh_packed >> (j_adjusted * 4 + k + 12)) & 0x10; + let q_hi = (f32(((q_byte >> 4) & 0xF) | qh_hi) - 16.0) * d; + let qh_lo = ((qh_packed >> (j_adjusted * 4 + k)) << 4) & 0x10; + let q_lo = (f32((q_byte & 0xF) | qh_lo) - 16.0) * d; + + local_sum += q_lo * shared_vector[shmem_idx + j * 4 + k]; + local_sum += q_hi * shared_vector[shmem_idx + j * 4 + k + 16]; + } + + } + } + return local_sum; +} +#endif + + +#ifdef MUL_ACC_Q5_1 + +const BLOCK_SIZE = 32; +const NQ = 16u; // number of weights per thread +const F16_PER_BLOCK = 12u; +const WEIGHTS_PER_F16 = 4u; // 4 weights per f16 +const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; + +fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 { + var local_sum = 0.0; + for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) { + let blck_idx = i / BLOCK_SIZE; + let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16; + let scale_idx = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * F16_PER_BLOCK; + // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17] + let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u; + let d = f32(src0[scale_idx]); + let m = src0[scale_idx + 1u]; + let qh0 = src0[scale_idx + 2u]; + let qh1 = src0[scale_idx + 3u]; + let qh_packed = bitcast(vec2(qh0, qh1)); + + for (var j = 0u; j < 2; j++) { + let q_0 = src0[scale_idx + 4u + block_offset + (j*2)]; + let q_1 = src0[scale_idx + 4u + block_offset + (j*2) + 1u]; + let q_packed = bitcast(vec2(q_0, q_1)); + + let j_adjusted = j + (block_offset / 2u); + + for (var k: u32 = 0; k < 4; k++) { + let q_byte = get_byte(q_packed, k); + + let qh_hi = (qh_packed >> (j_adjusted * 4 + k + 12)) & 0x10; + let q_hi = f32(((q_byte >> 4) & 0xF) | qh_hi) * d + f32(m); + let qh_lo = ((qh_packed >> (j_adjusted * 4 + k)) << 4) & 0x10; + let q_lo = f32((q_byte & 0xF) | qh_lo) * d + f32(m); + + local_sum += q_lo * shared_vector[shmem_idx + j * 4 + k]; + local_sum += q_hi * shared_vector[shmem_idx + j * 4 + k + 16]; + } + + } + } + return local_sum; +} +#endif + + +#ifdef MUL_ACC_Q8_0 + +const BLOCK_SIZE = 32; +const NQ = 16u; // number of weights per thread +const F16_PER_BLOCK = 17u; +const WEIGHTS_PER_F16 = 2u; +const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; + +fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 { + var local_sum = 0.0; + for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) { + let blck_idx = i / BLOCK_SIZE; + let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16; + let scale_idx = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * F16_PER_BLOCK; + // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17] + let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u; + let d = f32(src0[scale_idx]); + + for (var j = 0u; j < F16_PER_THREAD; j += 2) { + let q_0 = src0[scale_idx + 1 + block_offset + j]; + let q_1 = src0[scale_idx + 1 + block_offset + j + 1]; + let q_packed = bitcast(vec2(q_0, q_1)); + for (var k: u32 = 0; k < 4; k++) { + let q_byte = get_byte_i32(q_packed, k); + let q_val = f32(q_byte) * d; + local_sum += q_val * shared_vector[shmem_idx + j * 2 + k]; + } + } + } + return local_sum; +} +#endif + + +#ifdef MUL_ACC_Q8_1 + +const BLOCK_SIZE = 32; +const NQ = 16u; // number of weights per thread +const F16_PER_BLOCK = 18u; +const WEIGHTS_PER_F16 = 2u; +const F16_PER_THREAD = NQ / WEIGHTS_PER_F16; + +fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 { + var local_sum = 0.0; + for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) { + let blck_idx = i / BLOCK_SIZE; + let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16; + let scale_idx = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * F16_PER_BLOCK; + // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17] + let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u; + let d = f32(src0[scale_idx]); + let m = src0[scale_idx + 1u]; + + for (var j = 0u; j < F16_PER_THREAD; j += 2) { + let q_0 = src0[scale_idx + 2u + block_offset + j]; + let q_1 = src0[scale_idx + 2u + block_offset + j + 1]; + let q_packed = bitcast(vec2(q_0, q_1)); + for (var k: u32 = 0; k < 4; k++) { + let q_byte = get_byte_i32(q_packed, k); + let q_val = f32(q_byte) * d + f32(m); + local_sum += q_val * shared_vector[shmem_idx + j * 2 + k]; + } + } + } + return local_sum; +} +#endif + +#ifdef MUL_ACC_Q6_K + +const BLOCK_SIZE = 256u; +const F16_PER_BLOCK = 105u; + +fn load_u32_at(bbase: u32, byte_offset: u32) -> u32 { + let aligned = byte_offset & ~3u; + let idx = bbase + aligned / 2u; + return bitcast(vec2(src0[idx], src0[idx + 1u])); +} + +fn byte_of(v: u32, b: u32) -> u32 { + return (v >> (b * 8u)) & 0xFFu; +} + +fn sbyte_of(v: u32, b: u32) -> i32 { + let raw = i32((v >> (b * 8u)) & 0xFFu); + return select(raw, raw - 256, raw >= 128); +} + +fn mul_acc(tig: u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 { + let tid = tig / 2u; + let ix = tig % 2u; + let ip = tid / 8u; + let il = tid % 8u; + let l0 = 4u * il; + let is = 8u * ip + l0 / 16u; + + let y_offset = 128u * ip + l0; + let q_offset_l = 64u * ip + l0; + let q_offset_h = 32u * ip + l0; + + let nb = tile_size / BLOCK_SIZE; + let k_block_start = k_outer / BLOCK_SIZE; + + // Aligned scale byte position (is can be odd) + let sc_base_byte = 192u + (is & ~3u); + let sc_byte_pos = is & 3u; + + var local_sum = 0.0; + + for (var i = ix; i < nb; i += 2u) { + let bbase = (idx_base + k_block_start + i) * F16_PER_BLOCK; + + let d_raw = load_u32_at(bbase, 208u); + let d = f32(bitcast>(d_raw)[0]); + + let ql1_u32 = load_u32_at(bbase, q_offset_l); + let ql2_u32 = load_u32_at(bbase, q_offset_l + 32u); + let qh_u32 = load_u32_at(bbase, 128u + q_offset_h); + let sc_u32_0 = load_u32_at(bbase, sc_base_byte); + let sc_u32_1 = load_u32_at(bbase, sc_base_byte + 4u); + + let sc0 = sbyte_of(sc_u32_0, sc_byte_pos); + let sc2 = sbyte_of(sc_u32_0, sc_byte_pos + 2u); + let sc4 = sbyte_of(sc_u32_1, sc_byte_pos); + let sc6 = sbyte_of(sc_u32_1, sc_byte_pos + 2u); + + var sums = vec4(0.0, 0.0, 0.0, 0.0); + + for (var l = 0u; l < 4u; l++) { + let y_base = i * BLOCK_SIZE + y_offset + l; + let yl0 = f32(shared_vector[y_base]); + let yl1 = f32(shared_vector[y_base + 32u]); + let yl2 = f32(shared_vector[y_base + 64u]); + let yl3 = f32(shared_vector[y_base + 96u]); + + let q1b = byte_of(ql1_u32, l); + let q2b = byte_of(ql2_u32, l); + let qhb = byte_of(qh_u32, l); + + let dq0 = f32(i32((q1b & 0x0Fu) | ((qhb & 0x03u) << 4u)) - 32); + let dq1 = f32(i32((q2b & 0x0Fu) | ((qhb & 0x0Cu) << 2u)) - 32); + let dq2 = f32(i32((q1b >> 4u) | ((qhb & 0x30u) )) - 32); + let dq3 = f32(i32((q2b >> 4u) | ((qhb & 0xC0u) >> 2u)) - 32); + + sums[0] += yl0 * dq0; + sums[1] += yl1 * dq1; + sums[2] += yl2 * dq2; + sums[3] += yl3 * dq3; + } + + local_sum += d * (sums[0] * f32(sc0) + sums[1] * f32(sc2) + + sums[2] * f32(sc4) + sums[3] * f32(sc6)); + } + + return local_sum; +} +#endif + struct MulMatParams { offset_src0: u32, offset_src1: u32, @@ -191,4 +478,3 @@ fn main( dst[dst_idx / VEC_SIZE] = store_val(group_base); } } - diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/repeat.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/repeat.wgsl new file mode 100644 index 0000000000..6e2a1a8b61 --- /dev/null +++ b/ggml/src/ggml-webgpu/wgsl-shaders/repeat.wgsl @@ -0,0 +1,67 @@ +enable f16; + +struct Params { + ne: u32, + + offset_src0: u32, + offset_dst: u32, + + stride_src0_0: u32, + stride_src0_1: u32, + stride_src0_2: u32, + stride_src0_3: u32, + + a_ne0: u32, + a_ne1: u32, + a_ne2: u32, + a_ne3: u32, + + ne0: u32, + ne1: u32, + ne2: u32, +}; + +#ifdef TYPE_F32 +#define DataType f32 +#endif +#ifdef TYPE_I32 +#define DataType i32 +#endif +#ifdef TYPE_I16 +// same size (16-bit) is sufficient for repeat +#define DataType f16 +#endif + +@group(0) @binding(0) +var src0: array; + +@group(0) @binding(1) +var dst: array; + +@group(0) @binding(2) +var params: Params; + +@compute @workgroup_size(WG_SIZE) +fn main(@builtin(global_invocation_id) gid: vec3) { + if (gid.x < params.ne) { + var i = gid.x; + let i3 = i / (params.ne2 * params.ne1 * params.ne0); + i = i % (params.ne2 * params.ne1 * params.ne0); + let i2 = i / (params.ne1 * params.ne0); + i = i % (params.ne1 * params.ne0); + let i1 = i / params.ne0; + let i0 = i % params.ne0; + + let a_i0 = i0 % params.a_ne0; + let a_i1 = i1 % params.a_ne1; + let a_i2 = i2 % params.a_ne2; + let a_i3 = i3 % params.a_ne3; + + let a_index = a_i0 * params.stride_src0_0 + + a_i1 * params.stride_src0_1 + + a_i2 * params.stride_src0_2 + + a_i3 * params.stride_src0_3; + + dst[params.offset_dst + gid.x] = src0[params.offset_src0 + a_index]; + } +} diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/rms_norm.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/row_norm.wgsl similarity index 79% rename from ggml/src/ggml-webgpu/wgsl-shaders/rms_norm.wgsl rename to ggml/src/ggml-webgpu/wgsl-shaders/row_norm.wgsl index 712b921f1a..bd8d32bded 100644 --- a/ggml/src/ggml-webgpu/wgsl-shaders/rms_norm.wgsl +++ b/ggml/src/ggml-webgpu/wgsl-shaders/row_norm.wgsl @@ -1,21 +1,11 @@ -#define(VARIANTS) - -[ - { - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_SUFFIX": "inplace", - "DECLS": ["INPLACE"] - }, -] - -#end(VARIANTS) - -#define(DECLS) - -#decl(NOT_INPLACE) +#ifdef INPLACE +fn update(src_offset: u32, dst_offset: u32, scale: f32) { + src[dst_offset] = scale * src[src_offset]; +} +@group(0) @binding(1) +var params: Params; +#else fn update(src_offset: u32, dst_offset: u32, scale: f32) { dst[dst_offset] = scale * src[src_offset]; } @@ -25,23 +15,7 @@ var dst: array; @group(0) @binding(2) var params: Params; - -#enddecl(NOT_INPLACE) - -#decl(INPLACE) - -fn update(src_offset: u32, dst_offset: u32, scale: f32) { - src[dst_offset] = scale * src[src_offset]; -} - -@group(0) @binding(1) -var params: Params; - -#enddecl(INPLACE) - -#end(DECLS) - -#define(SHADER) +#endif struct Params { offset_src: u32, // in elements @@ -68,12 +42,9 @@ struct Params { @group(0) @binding(0) var src: array; -DECLS +var scratch: array; -override wg_size: u32; -var scratch: array; - -@compute @workgroup_size(wg_size) +@compute @workgroup_size(WG_SIZE) fn main(@builtin(workgroup_id) wid: vec3, @builtin(local_invocation_id) lid: vec3) { @@ -86,7 +57,7 @@ fn main(@builtin(workgroup_id) wid: vec3, let i_src_row = params.offset_src + i3 * params.stride_src3 + i2 * params.stride_src2 + i1 * params.stride_src1; let i_dst_row = params.offset_dst + i3 * params.stride_dst3 + i2 * params.stride_dst2 + i1 * params.stride_dst1; - let elems = (params.ne0 + wg_size - 1) / wg_size; + let elems = (params.ne0 + WG_SIZE - 1) / WG_SIZE; var sum = 0.0f; var col = lid.x; @@ -95,12 +66,12 @@ fn main(@builtin(workgroup_id) wid: vec3, break; } sum += pow(src[i_src_row + col], 2.0); - col += wg_size; + col += WG_SIZE; } scratch[lid.x] = sum; workgroupBarrier(); - var offset = wg_size / 2; + var offset: u32 = WG_SIZE / 2; while (offset > 0) { if (lid.x < offset) { scratch[lid.x] += scratch[lid.x + offset]; @@ -110,14 +81,18 @@ fn main(@builtin(workgroup_id) wid: vec3, } sum = scratch[0]; +#ifdef RMS_NORM let scale = 1.0/sqrt(sum/f32(params.ne0) + params.eps); +#elif defined(L2_NORM) + let scale = 1.0/max(sqrt(sum), params.eps); +#endif + col = lid.x; for (var j: u32 = 0; j < elems; j++) { if (col >= params.ne0) { break; } update(i_src_row + col, i_dst_row + col, scale); - col += wg_size; + col += WG_SIZE; } } -#end(SHADER) diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/set.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/set.wgsl new file mode 100644 index 0000000000..0a7ae9bdb2 --- /dev/null +++ b/ggml/src/ggml-webgpu/wgsl-shaders/set.wgsl @@ -0,0 +1,109 @@ +#ifdef TYPE_I32 +#define TYPE i32 +#else +#define TYPE f32 +#endif + +#ifndef INPLACE +@group(0) @binding(0) +var src0: array; +#define SRC1_BINDING 1 +#else +#define SRC1_BINDING 0 +#endif + +#define DST_BINDING SRC1_BINDING + 1 +#define PARAMS_BINDING SRC1_BINDING + 2 + +@group(0) @binding(SRC1_BINDING) +var src1: array; + +@group(0) @binding(DST_BINDING) +var dst: array; + +struct Params { + ne: u32, + offset_src0: u32, + offset_src1: u32, + offset_view: u32, + + stride_src10: u32, + stride_src11: u32, + stride_src12: u32, + stride_src13: u32, + + stride_dst10: u32, + stride_dst11: u32, + stride_dst12: u32, + stride_dst13: u32, + + src1_ne0: u32, + src1_ne1: u32, + src1_ne2: u32, + src1_ne3: u32, +}; + +@group(0) @binding(PARAMS_BINDING) +var params: Params; + +fn decode_src1_coords(idx: u32) -> vec4 { + var i = idx; + let plane = params.src1_ne2 * params.src1_ne1 * params.src1_ne0; + let i3 = i / plane; + i = i % plane; + let row = params.src1_ne1 * params.src1_ne0; + let i2 = i / row; + i = i % row; + let i1 = i / params.src1_ne0; + let i0 = i % params.src1_ne0; + return vec4(i0, i1, i2, i3); +} + +fn decode_view_coords(rel: u32) -> vec4 { + let i3 = rel / params.stride_dst13; + let rem3 = rel % params.stride_dst13; + let i2 = rem3 / params.stride_dst12; + let rem2 = rem3 % params.stride_dst12; + let i1 = rem2 / params.stride_dst11; + let i0 = rem2 % params.stride_dst11; + return vec4(i0, i1, i2, i3); +} + +fn view_rel_from_coords(coords: vec4) -> u32 { + return coords.x * params.stride_dst10 + coords.y * params.stride_dst11 + + coords.z * params.stride_dst12 + coords.w * params.stride_dst13; +} + +fn src1_idx_from_coords(coords: vec4) -> u32 { + return coords.x * params.stride_src10 + coords.y * params.stride_src11 + + coords.z * params.stride_src12 + coords.w * params.stride_src13; +} + +fn in_set_view(rel: u32, coords: vec4) -> bool { + return view_rel_from_coords(coords) == rel; +} + +@compute @workgroup_size(WG_SIZE) +fn main(@builtin(global_invocation_id) gid: vec3) { + if (gid.x >= params.ne) { + return; + } + +#ifdef INPLACE + let coords = decode_src1_coords(gid.x); + + let src1_idx = params.offset_src1 + src1_idx_from_coords(coords); + let dst_idx = params.offset_view + view_rel_from_coords(coords); + + dst[dst_idx] = src1[src1_idx]; +#else + let rel = select(params.ne, gid.x - params.offset_view, gid.x >= params.offset_view); + let coords = decode_view_coords(rel); + + if (rel < params.stride_dst13 * params.src1_ne3 && in_set_view(rel, coords)) { + dst[gid.x] = src1[params.offset_src1 + src1_idx_from_coords(coords)]; + } else { + dst[gid.x] = src0[params.offset_src0 + gid.x]; + } +#endif +} diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/solve_tri.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/solve_tri.wgsl new file mode 100644 index 0000000000..9d5d902cb1 --- /dev/null +++ b/ggml/src/ggml-webgpu/wgsl-shaders/solve_tri.wgsl @@ -0,0 +1,121 @@ +@group(0) @binding(0) +var src0: array; + +@group(0) @binding(1) +var src1: array; + +@group(0) @binding(2) +var dst: array; + +struct Params { + offset_src0: u32, + offset_src1: u32, + offset_dst: u32, + + stride_src00: u32, + stride_src01: u32, + stride_src02: u32, + stride_src03: u32, + + stride_src10: u32, + stride_src11: u32, + stride_src12: u32, + stride_src13: u32, + + stride_dst0: u32, + stride_dst1: u32, + stride_dst2: u32, + stride_dst3: u32, + + k: u32, + ne2: u32, + ne3: u32, +}; + +@group(0) @binding(3) +var params: Params; + +var shA: array; +var shB: array; + +fn src0_idx(row: u32, col: u32, i2: u32, i3: u32) -> u32 { + return params.offset_src0 + + col * params.stride_src00 + + row * params.stride_src01 + + i2 * params.stride_src02 + + i3 * params.stride_src03; +} + +fn src1_idx(row: u32, col: u32, i2: u32, i3: u32) -> u32 { + return params.offset_src1 + + col * params.stride_src10 + + row * params.stride_src11 + + i2 * params.stride_src12 + + i3 * params.stride_src13; +} + +fn dst_idx(row: u32, col: u32, i2: u32, i3: u32) -> u32 { + return params.offset_dst + + col * params.stride_dst0 + + row * params.stride_dst1 + + i2 * params.stride_dst2 + + i3 * params.stride_dst3; +} + +@compute @workgroup_size(WG_SIZE) +fn main( + @builtin(workgroup_id) workgroup_id: vec3, + @builtin(local_invocation_id) local_id: vec3 +) { + let batch = workgroup_id.y; + let col = workgroup_id.x * WG_SIZE + local_id.x; + let i3 = batch / params.ne2; + let i2 = batch % params.ne2; + let active_lane = local_id.x < K_TILE; + let active_col = active_lane && col < params.k; + + var X: array; + + for (var row_base = 0u; row_base < N; row_base += BATCH_N) { + let cur_n = min(BATCH_N, N - row_base); + + for (var i = local_id.x; i < cur_n * N; i += WG_SIZE) { + let tile_row = i / N; + let tile_col = i % N; + shA[i] = src0[src0_idx(row_base + tile_row, tile_col, i2, i3)]; + } + + for (var i = local_id.x; i < cur_n * K_TILE; i += WG_SIZE) { + let tile_row = i / K_TILE; + let tile_col = i % K_TILE; + let global_col = workgroup_id.x * WG_SIZE + tile_col; + let sh_idx = tile_row * K_TILE + tile_col; + + if (global_col < params.k) { + shB[sh_idx] = src1[src1_idx(row_base + tile_row, global_col, i2, i3)]; + } else { + shB[sh_idx] = 0.0; + } + } + + workgroupBarrier(); + + if (active_col) { + for (var row_offset = 0u; row_offset < cur_n; row_offset++) { + let r = row_base + row_offset; + var b = shB[row_offset * K_TILE + local_id.x]; + let a_row = row_offset * N; + + for (var t = 0u; t < r; t++) { + b -= shA[a_row + t] * X[t]; + } + + let x = b / shA[a_row + r]; + X[r] = x; + dst[dst_idx(r, col, i2, i3)] = x; + } + } + + workgroupBarrier(); + } +} diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/ssm_conv.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/ssm_conv.wgsl new file mode 100644 index 0000000000..11511305ed --- /dev/null +++ b/ggml/src/ggml-webgpu/wgsl-shaders/ssm_conv.wgsl @@ -0,0 +1,65 @@ +@group(0) @binding(0) +var src0: array; + +@group(0) @binding(1) +var src1: array; + +@group(0) @binding(2) +var dst: array; + +struct Params { + offset_src0: u32, + offset_src1: u32, + offset_dst: u32, + + stride_src01: u32, + stride_src02: u32, + stride_src11: u32, + + stride_dst0: u32, + stride_dst1: u32, + stride_dst2: u32, + + nc: u32, + nr: u32, + n_t: u32, + n_s: u32, + token_tiles: u32, +}; + +@group(0) @binding(3) +var params: Params; + +@compute @workgroup_size(BLOCK_SIZE, TOKENS_PER_WG) +fn main(@builtin(global_invocation_id) gid: vec3) { + let i1 = gid.x; + let tile_y = gid.y / TOKENS_PER_WG; + let local_token = gid.y % TOKENS_PER_WG; + let i3 = tile_y / params.token_tiles; + let token_tile = tile_y % params.token_tiles; + let i2 = token_tile * TOKENS_PER_WG + local_token; + + if (i1 >= params.nr || i2 >= params.n_t || i3 >= params.n_s) { + return; + } + + let src0_base = params.offset_src0 + i3 * params.stride_src02 + i2 + i1 * params.stride_src01; + let src1_base = params.offset_src1 + i1 * params.stride_src11; + + var sum = 0.0; + +#ifdef VECTORIZED + sum = + src0[src0_base + 0u] * src1[src1_base + 0u] + + src0[src0_base + 1u] * src1[src1_base + 1u] + + src0[src0_base + 2u] * src1[src1_base + 2u] + + src0[src0_base + 3u] * src1[src1_base + 3u]; +#else + for (var i0 = 0u; i0 < params.nc; i0++) { + sum += src0[src0_base + i0] * src1[src1_base + i0]; + } +#endif + + let dst_idx = params.offset_dst + i3 * params.stride_dst2 + i2 * params.stride_dst1 + i1 * params.stride_dst0; + dst[dst_idx] = sum; +} diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl index feaf6d0ac2..21beb9bb94 100644 --- a/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl +++ b/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl @@ -5,7 +5,6 @@ enable f16; #define TYPE f32 #endif - @group(0) @binding(0) var src: array; @@ -57,12 +56,20 @@ fn main(@builtin(global_invocation_id) gid: vec3) { return; } var i = gid.x; - let i3 = i / (params.ne2 * params.ne1 * params.ne0); - i = i % (params.ne2 * params.ne1 * params.ne0); - let i2 = i / (params.ne1 * params.ne0); - i = i % (params.ne1 * params.ne0); - let i1 = i / params.ne0; - let i0 = i % params.ne0; + let ne2 = params.ne2; +#ifdef DIAG + let ne1 = params.ne0; +#else + let ne1 = params.ne1; +#endif + let ne0 = params.ne0; + + let i3 = i / (ne2 * ne1 * ne0); + i = i % (ne2 * ne1 * ne0); + let i2 = i / (ne1 * ne0); + i = i % (ne1 * ne0); + let i1 = i / ne0; + let i0 = i % ne0; let src_idx = i0 * params.stride_src0 + i1 * params.stride_src1 + i2 * params.stride_src2 + i3 * params.stride_src3; @@ -184,6 +191,20 @@ fn main(@builtin(global_invocation_id) gid: vec3) { let res_f32 = cos(f32(src[params.offset_src + src_idx])); let res = TYPE(res_f32); #endif +#ifdef DIAG + let res = select(0.0, src[params.offset_src + i0 + i2 * params.stride_src2 + i3 * params.stride_src3], i0 == i1); +#endif +#ifdef TRI +#ifdef TRI_TYPE_LOWER + let res = select(0.0, src[params.offset_src + src_idx], i0 < i1); +#elif TRI_TYPE_LOWER_DIAG + let res = select(0.0, src[params.offset_src + src_idx], i0 <= i1); +#elif TRI_TYPE_UPPER + let res = select(0.0, src[params.offset_src + src_idx], i0 > i1); +#elif TRI_TYPE_UPPER_DIAG + let res = select(0.0, src[params.offset_src + src_idx], i0 >= i1); +#endif +#endif #ifdef INPLACE src[params.offset_src + src_idx] = res; diff --git a/ggml/src/ggml.c b/ggml/src/ggml.c index d644cca8a6..4c0764a0ac 100644 --- a/ggml/src/ggml.c +++ b/ggml/src/ggml.c @@ -718,6 +718,14 @@ static const struct ggml_type_traits type_traits[GGML_TYPE_COUNT] = { .to_float = (ggml_to_float_t) dequantize_row_mxfp4, .from_float_ref = (ggml_from_float_t)quantize_row_mxfp4_ref, }, + [GGML_TYPE_NVFP4] = { + .type_name = "nvfp4", + .blck_size = QK_NVFP4, + .type_size = sizeof(block_nvfp4), + .is_quantized = true, + .to_float = (ggml_to_float_t) dequantize_row_nvfp4, + .from_float_ref = (ggml_from_float_t)quantize_row_nvfp4_ref, + }, [GGML_TYPE_Q2_K] = { .type_name = "q2_K", .blck_size = QK_K, @@ -1031,6 +1039,7 @@ static const char * GGML_OP_NAME[GGML_OP_COUNT] = { "GATED_LINEAR_ATTN", "RWKV_WKV7", "SOLVE_TRI", + "GATED_DELTA_NET", "UNARY", @@ -1048,7 +1057,7 @@ static const char * GGML_OP_NAME[GGML_OP_COUNT] = { "GLU", }; -static_assert(GGML_OP_COUNT == 95, "GGML_OP_COUNT != 95"); +static_assert(GGML_OP_COUNT == 96, "GGML_OP_COUNT != 96"); static const char * GGML_OP_SYMBOL[GGML_OP_COUNT] = { "none", @@ -1140,6 +1149,7 @@ static const char * GGML_OP_SYMBOL[GGML_OP_COUNT] = { "gated_linear_attn(k, v, q, gate, s)", "rwkv_wkv7(r, w, k, v, a, b, s)", "A X = B, A triangular, solve X", + "gated_delta_net(q, k, v, g, beta, s)", "unary(x)", @@ -1157,7 +1167,7 @@ static const char * GGML_OP_SYMBOL[GGML_OP_COUNT] = { "glu(x)", }; -static_assert(GGML_OP_COUNT == 95, "GGML_OP_COUNT != 95"); +static_assert(GGML_OP_COUNT == 96, "GGML_OP_COUNT != 96"); static_assert(GGML_OP_POOL_COUNT == 2, "GGML_OP_POOL_COUNT != 2"); @@ -1284,6 +1294,12 @@ size_t ggml_row_size(enum ggml_type type, int64_t ne) { return ggml_type_size(type)*ne/ggml_blck_size(type); } +double ggml_type_sizef(enum ggml_type type) { + assert(type >= 0); + assert(type < GGML_TYPE_COUNT); + return ((double)(type_traits[type].type_size))/type_traits[type].blck_size; +} + const char * ggml_type_name(enum ggml_type type) { assert(type >= 0); assert(type < GGML_TYPE_COUNT); @@ -1372,6 +1388,7 @@ enum ggml_type ggml_ftype_to_ggml_type(enum ggml_ftype ftype) { case GGML_FTYPE_MOSTLY_Q5_1: wtype = GGML_TYPE_Q5_1; break; case GGML_FTYPE_MOSTLY_Q8_0: wtype = GGML_TYPE_Q8_0; break; case GGML_FTYPE_MOSTLY_MXFP4: wtype = GGML_TYPE_MXFP4; break; + case GGML_FTYPE_MOSTLY_NVFP4: wtype = GGML_TYPE_NVFP4; break; case GGML_FTYPE_MOSTLY_Q2_K: wtype = GGML_TYPE_Q2_K; break; case GGML_FTYPE_MOSTLY_Q3_K: wtype = GGML_TYPE_Q3_K; break; case GGML_FTYPE_MOSTLY_Q4_K: wtype = GGML_TYPE_Q4_K; break; @@ -6124,6 +6141,57 @@ struct ggml_tensor * ggml_solve_tri( return result; } +// ggml_gated_delta_net + +struct ggml_tensor * ggml_gated_delta_net( + struct ggml_context * ctx, + struct ggml_tensor * q, + struct ggml_tensor * k, + struct ggml_tensor * v, + struct ggml_tensor * g, + struct ggml_tensor * beta, + struct ggml_tensor * state) { + GGML_ASSERT(ggml_is_contiguous_rows(q)); + GGML_ASSERT(ggml_is_contiguous_rows(k)); + GGML_ASSERT(ggml_is_contiguous_rows(v)); + GGML_ASSERT(ggml_is_contiguous(g)); + GGML_ASSERT(ggml_is_contiguous(beta)); + GGML_ASSERT(ggml_is_contiguous(state)); + + GGML_ASSERT(q->type == GGML_TYPE_F32); + GGML_ASSERT(k->type == GGML_TYPE_F32); + GGML_ASSERT(v->type == GGML_TYPE_F32); + GGML_ASSERT(g->type == GGML_TYPE_F32); + GGML_ASSERT(beta->type == GGML_TYPE_F32); + GGML_ASSERT(state->type == GGML_TYPE_F32); + + const int64_t S_v = v->ne[0]; + const int64_t H = v->ne[1]; + const int64_t n_tokens = v->ne[2]; + const int64_t n_seqs = v->ne[3]; + + // gate: scalar [1, H, T, B] or vector [S_v, H, T, B] (KDA) + GGML_ASSERT(g->ne[0] == 1 || g->ne[0] == S_v); + GGML_ASSERT(beta->ne[0] == 1); + + GGML_ASSERT(ggml_nelements(state) == S_v * S_v * H * n_seqs); + + // concat output and new_state into a single tensor + // output: S_v * H * n_tokens * n_seqs, state: S_v * S_v * H * n_seqs + const int64_t ne[4] = { S_v * H, n_tokens * n_seqs + S_v * n_seqs, 1, 1 }; + struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, 4, ne); + + result->op = GGML_OP_GATED_DELTA_NET; + result->src[0] = q; + result->src[1] = k; + result->src[2] = v; + result->src[3] = g; + result->src[4] = beta; + result->src[5] = state; + + return result; +} + //////////////////////////////////////////////////////////////////////////////// struct ggml_hash_set ggml_hash_set_new(size_t size) { @@ -7588,6 +7656,7 @@ size_t ggml_quantize_chunk( case GGML_TYPE_Q5_1: result = quantize_q5_1(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break; case GGML_TYPE_Q8_0: result = quantize_q8_0(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break; case GGML_TYPE_MXFP4: result = quantize_mxfp4(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break; + case GGML_TYPE_NVFP4: result = quantize_nvfp4(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break; case GGML_TYPE_Q2_K: result = quantize_q2_K(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break; case GGML_TYPE_Q3_K: result = quantize_q3_K(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break; case GGML_TYPE_Q4_K: result = quantize_q4_K(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break; diff --git a/gguf-py/gguf/constants.py b/gguf-py/gguf/constants.py index 839c6e787f..c5f92c7700 100644 --- a/gguf-py/gguf/constants.py +++ b/gguf-py/gguf/constants.py @@ -125,6 +125,7 @@ class Keys: EXPERT_GROUP_SCALE = "{arch}.expert_group_scale" EXPERTS_PER_GROUP = "{arch}.experts_per_group" MOE_EVERY_N_LAYERS = "{arch}.moe_every_n_layers" + MOE_LATENT_SIZE = "{arch}.moe_latent_size" NEXTN_PREDICT_LAYERS = "{arch}.nextn_predict_layers" NUM_DEEPSTACK_LAYERS = "{arch}.n_deepstack_layers" POOLING_TYPE = "{arch}.pooling_type" @@ -177,6 +178,8 @@ class Keys: TEMPERATURE_LENGTH = "{arch}.attention.temperature_length" KEY_LENGTH_MLA = "{arch}.attention.key_length_mla" VALUE_LENGTH_MLA = "{arch}.attention.value_length_mla" + KEY_LENGTH_SWA = "{arch}.attention.key_length_swa" + VALUE_LENGTH_SWA = "{arch}.attention.value_length_swa" SHARED_KV_LAYERS = "{arch}.attention.shared_kv_layers" SLIDING_WINDOW_PATTERN = "{arch}.attention.sliding_window_pattern" TEMPERATURE_SCALE = "{arch}.attention.temperature_scale" @@ -188,6 +191,7 @@ class Keys: class Rope: DIMENSION_COUNT = "{arch}.rope.dimension_count" + DIMENSION_COUNT_SWA = "{arch}.rope.dimension_count_swa" DIMENSION_SECTIONS = "{arch}.rope.dimension_sections" FREQ_BASE = "{arch}.rope.freq_base" FREQ_BASE_SWA = "{arch}.rope.freq_base_swa" @@ -474,6 +478,7 @@ class MODEL_ARCH(IntEnum): RND1 = auto() PANGU_EMBED = auto() MISTRAL3 = auto() + MISTRAL4 = auto() PADDLEOCR = auto() MIMO2 = auto() STEP35 = auto() @@ -540,6 +545,8 @@ class MODEL_TENSOR(IntEnum): FFN_DOWN_CHEXP = auto() FFN_UP_CHEXP = auto() FFN_EXP_PROBS_B = auto() + MOE_LATENT_DOWN = auto() # nemotron 3 super + MOE_LATENT_UP = auto() # nemotron 3 super ATTN_Q_NORM = auto() ATTN_K_NORM = auto() LAYER_OUT_NORM = auto() @@ -918,6 +925,7 @@ MODEL_ARCH_NAMES: dict[MODEL_ARCH, str] = { MODEL_ARCH.RND1: "rnd1", MODEL_ARCH.PANGU_EMBED: "pangu-embedded", MODEL_ARCH.MISTRAL3: "mistral3", + MODEL_ARCH.MISTRAL4: "mistral4", MODEL_ARCH.PADDLEOCR: "paddleocr", MODEL_ARCH.MIMO2: "mimo2", MODEL_ARCH.STEP35: "step35", @@ -983,6 +991,8 @@ TENSOR_NAMES: dict[MODEL_TENSOR, str] = { MODEL_TENSOR.FFN_UP_EXP: "blk.{bid}.ffn_up_exps", MODEL_TENSOR.FFN_GATE_UP_EXP: "blk.{bid}.ffn_gate_up_exps", MODEL_TENSOR.FFN_EXP_PROBS_B: "blk.{bid}.exp_probs_b", + MODEL_TENSOR.MOE_LATENT_DOWN: "blk.{bid}.ffn_latent_down", # nemotron 3 super + MODEL_TENSOR.MOE_LATENT_UP: "blk.{bid}.ffn_latent_up", # nemotron 3 super MODEL_TENSOR.LAYER_OUT_NORM: "blk.{bid}.layer_output_norm", MODEL_TENSOR.PER_LAYER_TOKEN_EMBD: "per_layer_token_embd", # gemma3n MODEL_TENSOR.PER_LAYER_MODEL_PROJ: "per_layer_model_proj", # gemma3n @@ -2910,6 +2920,9 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = { MODEL_TENSOR.FFN_GATE_INP, MODEL_TENSOR.FFN_UP_EXP, MODEL_TENSOR.FFN_DOWN_EXP, + # expert latent + MODEL_TENSOR.MOE_LATENT_DOWN, + MODEL_TENSOR.MOE_LATENT_UP, # shared expert MODEL_TENSOR.FFN_DOWN_SHEXP, MODEL_TENSOR.FFN_UP_SHEXP, @@ -3527,6 +3540,37 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = { MODEL_TENSOR.FFN_DOWN_EXP, MODEL_TENSOR.FFN_UP_EXP, ], + MODEL_ARCH.MISTRAL4: [ + MODEL_TENSOR.TOKEN_EMBD, + MODEL_TENSOR.OUTPUT_NORM, + MODEL_TENSOR.OUTPUT, + MODEL_TENSOR.ROPE_FREQS, + MODEL_TENSOR.ATTN_NORM, + MODEL_TENSOR.ATTN_Q, + MODEL_TENSOR.ATTN_Q_A, + MODEL_TENSOR.ATTN_Q_B, + MODEL_TENSOR.ATTN_KV_A_MQA, + MODEL_TENSOR.ATTN_KV_B, + MODEL_TENSOR.ATTN_K_B, + MODEL_TENSOR.ATTN_V_B, + MODEL_TENSOR.ATTN_Q_A_NORM, + MODEL_TENSOR.ATTN_KV_A_NORM, + MODEL_TENSOR.ATTN_OUT, + MODEL_TENSOR.ATTN_ROT_EMBD, + MODEL_TENSOR.FFN_GATE_INP, + MODEL_TENSOR.FFN_NORM, + MODEL_TENSOR.FFN_GATE, + MODEL_TENSOR.FFN_DOWN, + MODEL_TENSOR.FFN_UP, + MODEL_TENSOR.FFN_GATE_EXP, + MODEL_TENSOR.FFN_DOWN_EXP, + MODEL_TENSOR.FFN_UP_EXP, + MODEL_TENSOR.FFN_GATE_UP_EXP, + MODEL_TENSOR.FFN_GATE_SHEXP, + MODEL_TENSOR.FFN_DOWN_SHEXP, + MODEL_TENSOR.FFN_UP_SHEXP, + MODEL_TENSOR.FFN_EXP_PROBS_B, + ], MODEL_ARCH.MIMO2: [ MODEL_TENSOR.TOKEN_EMBD, MODEL_TENSOR.OUTPUT_NORM, @@ -3773,6 +3817,7 @@ class GGMLQuantizationType(IntEnum): TQ1_0 = 34 TQ2_0 = 35 MXFP4 = 39 + NVFP4 = 40 class ExpertGatingFuncType(IntEnum): @@ -3824,6 +3869,8 @@ class LlamaFileType(IntEnum): # MOSTLY_Q4_0_8_8 = 35 # removed from gguf files, use Q4_0 and runtime repack MOSTLY_TQ1_0 = 36 # except 1d tensors MOSTLY_TQ2_0 = 37 # except 1d tensors + MOSTLY_MXFP4_MOE = 38 # except 1d tensors + MOSTLY_NVFP4 = 39 # except 1d tensors GUESSED = 1024 # not specified in the model file @@ -3869,6 +3916,7 @@ class VisionProjectorType: GEMMA3 = "gemma3" GEMMA3NV = "gemma3nv" GEMMA3NA = "gemma3na" + PHI4 = "phi4" IDEFICS3 = "idefics3" PIXTRAL = "pixtral" LLAMA4 = "llama4" @@ -3930,6 +3978,7 @@ GGML_QUANT_SIZES: dict[GGMLQuantizationType, tuple[int, int]] = { GGMLQuantizationType.TQ1_0: (256, 2 + 4 * 13), GGMLQuantizationType.TQ2_0: (256, 2 + 64), GGMLQuantizationType.MXFP4: (32, 1 + 16), + GGMLQuantizationType.NVFP4: (64, 4 + 32), } diff --git a/gguf-py/gguf/gguf_writer.py b/gguf-py/gguf/gguf_writer.py index 9ee3ac9e8f..5f653d386d 100644 --- a/gguf-py/gguf/gguf_writer.py +++ b/gguf-py/gguf/gguf_writer.py @@ -139,10 +139,13 @@ class GGUFWriter: size = prod(shape) if "_exps." in name: - expert_count = shape[-2 if ".bias" in name else -3] - expert_params += (size // expert_count) - expert_sum += expert_count - n_expert_tensors += 1 + if len(shape) >= 3: + expert_count = shape[-2 if ".bias" in name else -3] + expert_params += (size // expert_count) + expert_sum += expert_count + n_expert_tensors += 1 + else: + shared_params += size else: shared_params += size @@ -422,8 +425,7 @@ class GGUFWriter: fout = self.fout[file_id] # pop the first tensor info - # TODO: cleaner way to get the first key - first_tensor_name = [name for name, _ in zip(self.tensors[file_id].keys(), range(1))][0] + first_tensor_name = next(iter(self.tensors[file_id])) ti = self.tensors[file_id].pop(first_tensor_name) assert ti.nbytes == tensor.nbytes @@ -773,6 +775,12 @@ class GGUFWriter: def add_value_length_mla(self, length: int) -> None: self.add_uint32(Keys.Attention.VALUE_LENGTH_MLA.format(arch=self.arch), length) + def add_key_length_swa(self, length: int) -> None: + self.add_uint32(Keys.Attention.KEY_LENGTH_SWA.format(arch=self.arch), length) + + def add_value_length_swa(self, length: int) -> None: + self.add_uint32(Keys.Attention.VALUE_LENGTH_SWA.format(arch=self.arch), length) + def add_indexer_head_count(self, count: int) -> None: self.add_uint32(Keys.Attention.Indexer.HEAD_COUNT.format(arch=self.arch), count) @@ -853,6 +861,9 @@ class GGUFWriter: def add_moe_every_n_layers(self, value: int) -> None: self.add_uint32(Keys.LLM.MOE_EVERY_N_LAYERS.format(arch=self.arch), value) + def add_moe_latent_size(self, value: int) -> None: + self.add_uint32(Keys.LLM.MOE_LATENT_SIZE.format(arch=self.arch), value) + def add_nextn_predict_layers(self, count: int) -> None: self.add_uint32(Keys.LLM.NEXTN_PREDICT_LAYERS.format(arch=self.arch), count) @@ -946,6 +957,9 @@ class GGUFWriter: def add_rope_dimension_count(self, count: int) -> None: self.add_uint32(Keys.Rope.DIMENSION_COUNT.format(arch=self.arch), count) + def add_rope_dimension_count_swa(self, count: int) -> None: + self.add_uint32(Keys.Rope.DIMENSION_COUNT_SWA.format(arch=self.arch), count) + def add_rope_dimension_sections(self, dims: Sequence[int]) -> None: self.add_array(Keys.Rope.DIMENSION_SECTIONS.format(arch=self.arch), dims) @@ -1286,7 +1300,7 @@ class GGUFWriter: else: raise ValueError("Invalid GGUF metadata value type or value") - return kv_data + return bytes(kv_data) @staticmethod def format_n_bytes_to_str(num: int) -> str: diff --git a/gguf-py/gguf/lazy.py b/gguf-py/gguf/lazy.py index c126f09c50..acbc79258a 100644 --- a/gguf-py/gguf/lazy.py +++ b/gguf-py/gguf/lazy.py @@ -138,7 +138,7 @@ class LazyBase(ABC, metaclass=LazyMeta): if isinstance(meta_noop, tuple): dtype, shape = meta_noop assert callable(shape) - res = cls.meta_with_dtype_and_shape(dtype, shape(res.shape)) + res = cls.meta_with_dtype_and_shape(dtype, shape(res.shape)) # ty: ignore[call-top-callable] else: res = cls.meta_with_dtype_and_shape(meta_noop, res.shape) diff --git a/gguf-py/gguf/quants.py b/gguf-py/gguf/quants.py index 31845ea6ee..1d9d9ab7d7 100644 --- a/gguf-py/gguf/quants.py +++ b/gguf-py/gguf/quants.py @@ -91,11 +91,11 @@ class __Quant(ABC): def __init_subclass__(cls, qtype: GGMLQuantizationType) -> None: cls.qtype = qtype cls.block_size, cls.type_size = GGML_QUANT_SIZES[qtype] - cls.__quantize_lazy = LazyNumpyTensor._wrap_fn( + cls.__quantize_lazy: Any = LazyNumpyTensor._wrap_fn( cls.__quantize_array, meta_noop=(np.uint8, cls.__shape_to_bytes) ) - cls.__dequantize_lazy = LazyNumpyTensor._wrap_fn( + cls.__dequantize_lazy: Any = LazyNumpyTensor._wrap_fn( cls.__dequantize_array, meta_noop=(np.float32, cls.__shape_from_bytes) ) @@ -704,6 +704,65 @@ class MXFP4(__Quant, qtype=GGMLQuantizationType.MXFP4): return (d * qs.astype(np.float32)) +class NVFP4(__Quant, qtype=GGMLQuantizationType.NVFP4): + # E2M1 values doubled (kvalues_mxfp4 convention) + kvalues = (0, 1, 2, 3, 4, 6, 8, 12, 0, -1, -2, -3, -4, -6, -8, -12) + + @staticmethod + def ue4m3_to_fp32(x: np.ndarray) -> np.ndarray: + """Decode unsigned E4M3 (bias=7) to float, with 0.5 factor for kvalues convention.""" + exp = (x >> 3).astype(np.int32) & 0xF + man = (x & 0x7).astype(np.float32) + raw = np.where( + exp == 0, + man * 2**-9, + (1.0 + man / 8.0) * (2.0 ** (exp.astype(np.float32) - 7))) + return np.where((x == 0) | (x == 0x7F), 0.0, raw * 0.5) + + @staticmethod + def fp32_to_ue4m3(x: np.ndarray) -> np.ndarray: + """Vectorized float32 to unsigned E4M3, matching ggml_fp32_to_ue4m3 in C.""" + x = np.clip(x, 0.0, 448.0).astype(np.float32) + bits = x.view(np.uint32) + fp32_exp = ((bits >> 23) & 0xFF).astype(np.int32) - 127 + fp32_man = ((bits >> 20) & 0x7).astype(np.int32) + ue4m3_exp = fp32_exp + 7 + + # Subnormal + sub_man = np.clip((x * 512.0 + 0.5).astype(np.int32), 0, 7) + sub_result = np.where(sub_man >= 1, sub_man, 0).astype(np.uint8) + + # Normal with rounding + round_bit = ((bits >> 19) & 1).astype(np.int32) + man = fp32_man + round_bit + exp = ue4m3_exp.copy() + overflow = man > 7 + man = np.where(overflow, 0, man) + exp = np.where(overflow, exp + 1, exp) + normal_result = np.where(exp >= 15, np.uint8(0x7E), ((exp << 3) | man).astype(np.uint8)) + + return np.where(x <= 0.0, np.uint8(0), + np.where(ue4m3_exp <= 0, sub_result, + np.where(ue4m3_exp >= 15, np.uint8(0x7E), normal_result))) + + @classmethod + def dequantize_blocks(cls, blocks: np.ndarray) -> np.ndarray: + n_super = blocks.shape[0] + + d_bytes, qs = np.hsplit(blocks, [4]) + d = cls.ue4m3_to_fp32(d_bytes).reshape(n_super, 4, 1) # (n_super, 4, 1) + + qs = qs.reshape(n_super, 4, 8) + lo = (qs & np.uint8(0x0F)).view(np.int8) + hi = (qs >> np.uint8(4)).view(np.int8) + vals = np.concatenate([lo, hi], axis=-1) # (n_super, 4, 16) + + kvalues = np.array(cls.kvalues, dtype=np.int8).reshape(1, 1, 16) + vals = np.take_along_axis(kvalues, vals, axis=-1) + + return (d * vals.astype(np.float32)).reshape(n_super, 64) + + class IQ2_XXS(__Quant, qtype=GGMLQuantizationType.IQ2_XXS): ksigns: bytes = ( b"\x00\x81\x82\x03\x84\x05\x06\x87\x88\x09\x0a\x8b\x0c\x8d\x8e\x0f" diff --git a/gguf-py/gguf/scripts/gguf_convert_endian.py b/gguf-py/gguf/scripts/gguf_convert_endian.py index 86bf87846c..164c9171e0 100755 --- a/gguf-py/gguf/scripts/gguf_convert_endian.py +++ b/gguf-py/gguf/scripts/gguf_convert_endian.py @@ -65,6 +65,7 @@ byteswap_tensors = { gguf.GGMLQuantizationType.Q4_K: byteswap_q4_k, gguf.GGMLQuantizationType.Q6_K: byteswap_q6_k, gguf.GGMLQuantizationType.MXFP4: byteswap_noop, + gguf.GGMLQuantizationType.NVFP4: byteswap_noop, } diff --git a/gguf-py/gguf/tensor_mapping.py b/gguf-py/gguf/tensor_mapping.py index e575610900..18131e5405 100644 --- a/gguf-py/gguf/tensor_mapping.py +++ b/gguf-py/gguf/tensor_mapping.py @@ -571,6 +571,14 @@ class TensorNameMap: "model.layers.{bid}.mlp.experts.gate_up_proj", ), + MODEL_TENSOR.MOE_LATENT_DOWN: ( + "backbone.layers.{bid}.mixer.fc1_latent_proj", # nemotron 3 super + ), + + MODEL_TENSOR.MOE_LATENT_UP: ( + "backbone.layers.{bid}.mixer.fc2_latent_proj", # nemotron 3 super + ), + # Feed-forward down MODEL_TENSOR.FFN_DOWN: ( "gpt_neox.layers.{bid}.mlp.dense_4h_to_h", # gptneox diff --git a/gguf-py/gguf/vocab.py b/gguf-py/gguf/vocab.py index 028e5748e4..e4ab5e1e4b 100644 --- a/gguf-py/gguf/vocab.py +++ b/gguf-py/gguf/vocab.py @@ -11,33 +11,33 @@ from typing import Any, Callable, Sequence, Mapping, Iterable, Protocol, ClassVa try: from sentencepiece import SentencePieceProcessor except ImportError: - SentencePieceProcessor = None + SentencePieceProcessor: Any = None try: - from mistral_common.tokens.tokenizers.mistral import MistralTokenizer # pyright: ignore[reportMissingImports] - from mistral_common.tokens.tokenizers.tekken import Tekkenizer # pyright: ignore[reportMissingImports] - from mistral_common.tokens.tokenizers.utils import ( # pyright: ignore[reportMissingImports] + from mistral_common.tokens.tokenizers.mistral import MistralTokenizer # type: ignore[import-not-found] + from mistral_common.tokens.tokenizers.tekken import Tekkenizer # type: ignore[import-not-found] + from mistral_common.tokens.tokenizers.utils import ( # type: ignore[import-not-found] _filter_valid_tokenizer_files, ) - from mistral_common.tokens.tokenizers.sentencepiece import ( # pyright: ignore[reportMissingImports] + from mistral_common.tokens.tokenizers.sentencepiece import ( # type: ignore[import-not-found] SentencePieceTokenizer, ) except ImportError: _mistral_common_installed = False - MistralTokenizer = None - Tekkenizer = None - SentencePieceTokenizer = None - _filter_valid_tokenizer_files = None + MistralTokenizer: Any = None + Tekkenizer: Any = None + SentencePieceTokenizer: Any = None + _filter_valid_tokenizer_files: Any = None else: _mistral_common_installed = True try: - from mistral_common.tokens.tokenizers.utils import ( # pyright: ignore[reportMissingImports] + from mistral_common.tokens.tokenizers.utils import ( # type: ignore[import-not-found] get_one_valid_tokenizer_file, ) except ImportError: # We still want the conversion to work with older mistral-common versions. - get_one_valid_tokenizer_file = None + get_one_valid_tokenizer_file: Any = None import gguf @@ -703,7 +703,7 @@ class MistralVocab(Vocab): tokenizer_file_path = base_path / tokenizer_file - self.tokenizer = MistralTokenizer.from_file( + self.tokenizer: Any = MistralTokenizer.from_file( tokenizer_file_path ).instruct_tokenizer.tokenizer self.tokenizer_type = ( diff --git a/gguf-py/tests/test_quants.py b/gguf-py/tests/test_quants.py index 172fa0018a..9aa7c4ae2a 100755 --- a/gguf-py/tests/test_quants.py +++ b/gguf-py/tests/test_quants.py @@ -68,6 +68,7 @@ class GGMLQuants: "q2_K", "q3_K", "q4_K", "q5_K", "q6_K", "tq1_0", "tq2_0", "mxfp4", + "nvfp4", "iq2_xxs", "iq2_xs", "iq2_s", "iq3_xxs", "iq3_s", "iq1_s", "iq1_m", "iq4_nl", "iq4_xs", ): diff --git a/include/llama-cpp.h b/include/llama-cpp.h index 807e77f628..8f6368177d 100644 --- a/include/llama-cpp.h +++ b/include/llama-cpp.h @@ -21,9 +21,7 @@ struct llama_sampler_deleter { }; struct llama_adapter_lora_deleter { - void operator()(llama_adapter_lora *) { - // llama_adapter_lora_free is deprecated - } + void operator()(llama_adapter_lora * adapter) { llama_adapter_lora_free(adapter); } }; typedef std::unique_ptr llama_model_ptr; diff --git a/include/llama.h b/include/llama.h index a84d56a885..6e72db7e3c 100644 --- a/include/llama.h +++ b/include/llama.h @@ -5,6 +5,7 @@ #include "ggml-cpu.h" #include "ggml-backend.h" #include "ggml-opt.h" +#include "gguf.h" #include #include @@ -152,6 +153,7 @@ extern "C" { LLAMA_FTYPE_MOSTLY_TQ1_0 = 36, // except 1d tensors LLAMA_FTYPE_MOSTLY_TQ2_0 = 37, // except 1d tensors LLAMA_FTYPE_MOSTLY_MXFP4_MOE = 38, // except 1d tensors + LLAMA_FTYPE_MOSTLY_NVFP4 = 39, // except 1d tensors LLAMA_FTYPE_GUESSED = 1024, // not specified in the model file }; @@ -440,19 +442,30 @@ extern "C" { LLAMA_API void llama_detach_threadpool(struct llama_context * ctx); + typedef void (*llama_model_set_tensor_data_t)(struct ggml_tensor * tensor, void * userdata); + + // Create a new model from GGUF metadata as well as a function to set the tensor data + // - tensors are created as GGML_TYPE_F32 by default, + // override by adding a tensor with the same name but a different name to the context + LLAMA_API struct llama_model * llama_model_init_from_user( + struct gguf_context * metadata, + llama_model_set_tensor_data_t set_tensor_data, // function to initialize tensor data with + void * set_tensor_data_ud, // userdata for function + struct llama_model_params params); + DEPRECATED(LLAMA_API struct llama_model * llama_load_model_from_file( const char * path_model, struct llama_model_params params), "use llama_model_load_from_file instead"); - // Load the model from a file + // Load a model from a file // If the file is split into multiple parts, the file name must follow this pattern: -%05d-of-%05d.gguf // If the split file name does not follow this pattern, use llama_model_load_from_splits LLAMA_API struct llama_model * llama_model_load_from_file( const char * path_model, struct llama_model_params params); - // Load the model from multiple splits (support custom naming scheme) + // Load a model from multiple splits (support custom naming scheme) // The paths must be in the correct order LLAMA_API struct llama_model * llama_model_load_from_splits( const char ** paths, @@ -623,7 +636,6 @@ extern "C" { // Load a LoRA adapter from file // The adapter is valid as long as the associated model is not freed - // All adapters must be loaded before context creation LLAMA_API struct llama_adapter_lora * llama_adapter_lora_init( struct llama_model * model, const char * path_lora); @@ -647,9 +659,8 @@ extern "C" { LLAMA_API int32_t llama_adapter_meta_val_str_by_index(const struct llama_adapter_lora * adapter, int32_t i, char * buf, size_t buf_size); // Manually free a LoRA adapter - // NOTE: loaded adapters will be free when the associated model is deleted - LLAMA_API DEPRECATED(void llama_adapter_lora_free(struct llama_adapter_lora * adapter), - "adapters are now freed together with the associated model"); + // NOTE: loaded adapters that are not manually freed will be freed when the associated model is deleted + LLAMA_API void llama_adapter_lora_free(struct llama_adapter_lora * adapter); // Get the invocation tokens if the current lora is an alora LLAMA_API uint64_t llama_adapter_get_alora_n_invocation_tokens(const struct llama_adapter_lora * adapter); diff --git a/models/templates/Apriel-1.6-15b-Thinker-fixed.jinja b/models/templates/Apriel-1.6-15b-Thinker-fixed.jinja index a60a95f44d..8a282b8231 100755 --- a/models/templates/Apriel-1.6-15b-Thinker-fixed.jinja +++ b/models/templates/Apriel-1.6-15b-Thinker-fixed.jinja @@ -7,7 +7,6 @@ {%- set available_tool_string = '' -%} {%- set add_tool_id = true -%} {%- set add_thoughts = true -%} {# whether to include reasoning blocks #} -{%- set add_generation_prompt = true -%} {# whether to emit reasoning starter before assistant response #} {# Optional token placeholders (safe defaults) #} {%- set bos_token = bos_token or '' -%} {%- set eos_token = eos_token or '' -%} diff --git a/models/templates/GigaChat3-10B-A1.8B.jinja b/models/templates/GigaChat3-10B-A1.8B.jinja new file mode 100644 index 0000000000..f9826a4457 --- /dev/null +++ b/models/templates/GigaChat3-10B-A1.8B.jinja @@ -0,0 +1,355 @@ +{#--------TOOL RENDERING FUNCTIONS---------#} + +{#--------------------------------------------------------------- + Converts JSON Schema (dict) to a TypeScript type definition +----------------------------------------------------------------#} +{%- macro json_schema_to_typescript(schema, indent="") -%} + {%- set ADDITIONAL_JSON_KEYS = ['format', 'maxItems', 'maximum', 'minItems', 'minimum', 'pattern'] -%} + {%- set ty = schema.get("type") -%} + + {# ---------------- OBJECT ---------------- #} + {%- if ty == "object" -%} + {{- "{\n" -}} + + {# Start building property list #} + {%- set props = schema.get("properties", {}) -%} + {%- set required = schema.get("required", []) -%} + {%- set has_additional_props = schema.get("additionalProperties") is defined -%} + {%- set additional_props_type = none -%} + {%- if has_additional_props -%} + {%- if schema.additionalProperties == true -%} + {%- set additional_props_type = {'type': 'any'} -%} + {%- elif schema.additionalProperties is mapping -%} + {%- set additional_props_type = schema.additionalProperties -%} + {%- endif -%} + {%- endif -%} + + {%- for key, val in props.items() -%} + {# ---------- Description Comments ---------- #} + {%- if "description" in val -%} + {%- for line in val['description'].split('\n') -%} + {%- if line.strip() -%} + {{- indent + '// ' + line + '\n' -}} + {%- endif -%} + {%- endfor -%} + {%- endif -%} + + {# ---------- Additional JSON Keys ---------- #} + {%- for add_key, add_val in val.items() -%} + {%- if add_key in ADDITIONAL_JSON_KEYS -%} + {%- if add_val is string -%} + {{- indent + '// ' + add_key + ': "' + add_val + '"' + '\n' -}} + {%- else -%} + {{- indent + '// ' + add_key + ': ' ~ add_val ~ '\n' -}} + {%- endif -%} + {%- endif -%} + {%- endfor -%} + + {# ---------- Property Definition ---------- #} + {%- set type_str = json_schema_to_typescript( + val, + indent + " " + ) -%} + + {{- indent + key + ('' if key in required else '?') + ': ' + type_str + ',' -}} + + {%- if "default" in val or "defalut_value" in val -%} + {%- set default = val.get("default", val.get("defalut_value")) -%} + {%- if default is string -%} + {{- ' // default: "' + default + '"' -}} + {%- else -%} + {{- ' // default: ' ~ default -}} + {%- endif -%} + {%- endif -%} + + {{- "\n" -}} + {%- endfor -%} + + {# Handle additionalProperties as index signature #} + {%- if has_additional_props and additional_props_type is not none -%} + {%- set additional_type_str = json_schema_to_typescript( + additional_props_type, + indent + " " + ) -%} + {{- indent + '[key: string]: ' + additional_type_str + '\n' -}} + {%- endif -%} + + {{- indent[: (indent|length - " "|length) ] + '}' -}} + + {# ---------------- STRING ---------------- #} + {%- elif ty == "string" -%} + {%- if schema.get("enum") -%} + {%- set ns = namespace(enum = []) -%} + {%- for en in schema['enum'] -%} + {%- set ns.enum = ns.enum + ['"' ~ en ~ '"'] -%} + {%- endfor -%} + {{- ns.enum | join(' | ') -}} + {%- elif schema.get("format", "none") in ['date-time', 'date'] -%} + {{- 'Date' -}} + {%- else -%} + {{- 'string' -}} + {%- endif -%} + + {# ---------------- NUMBER / INTEGER ---------------- #} + {%- elif ty in ["number", "integer"] -%} + {%- if schema.get("enum") -%} + {{- schema.enum | join(' | ') -}} + {%- else -%} + {{- 'number' -}} + {%- endif -%} + + {# ---------------- BOOLEAN ---------------- #} + {%- elif ty == "boolean" -%} + {{- 'boolean' -}} + + {# ---------------- ARRAY ---------------- #} + {%- elif ty == "array" -%} + {%- if "items" in schema -%} + {{- json_schema_to_typescript(schema['items'], indent) + '[]' -}} + {%- else -%} + {{- 'Array' -}} + {%- endif -%} + + {# ---------------- FALLBACK ---------------- #} + {%- else -%} + {{- 'any' -}} + {%- endif -%} +{%- endmacro -%} + +{#--------------------------------------------------------------- + Renders a namespace and its tool definitions in TypeScript style +----------------------------------------------------------------#} + +{%- macro render_tool_namespace(namespace_name, tools) -%} + {%- set ns = namespace(sections = ['namespace ' ~ namespace_name ~ ' {']) -%} + + {%- for tool in tools -%} + {%- if tool.function -%} + {%- set tool = tool.function -%} + {%- endif -%} + + {%- set ns_tool = namespace(content_lines=[]) -%} + + {# ---------- TOOL DESCRIPTION ---------- #} + {%- if tool.get('description') -%} + {%- for line in tool['description'].split('\n') -%} + {%- if line.strip() -%} + {%- set ns_tool.content_lines = ns_tool.content_lines + ['// ' ~ line] -%} + {%- endif -%} + {%- endfor -%} + {%- endif -%} + + {# ---------- TOOL SIGNATURE ---------- #} + {%- set main_body = "" -%} + {%- set params = tool.get("parameters") -%} + {%- if params and params.get("properties") -%} + {%- set param_type = json_schema_to_typescript(params, " ") -%} + {%- set main_body = 'type ' ~ tool.name ~ ' = (_: ' ~ param_type ~ ') => ' -%} + {%- else -%} + {%- set main_body = 'type ' ~ tool.name ~ ' = () => ' -%} + {%- endif -%} + + {# ---------- RETURN TYPE ---------- #} + {%- set return_params = tool.get("return_parameters") -%} + {%- if return_params and return_params.get("properties") -%} + {%- set return_type = json_schema_to_typescript(return_params, " ") -%} + {%- set main_body = main_body ~ return_type -%} + {%- else -%} + {%- set main_body = main_body ~ 'any' -%} + {%- endif -%} + + {%- set main_body = main_body ~ ';\n' -%} + + {%- set ns_tool.content_lines = ns_tool.content_lines + [main_body] -%} + + {# ---------- ADD TOOL TO SECTIONS ---------- #} + {%- set ns.sections = ns.sections + [ns_tool.content_lines | join('\n')] -%} + {%- endfor -%} + + {%- set ns.sections = ns.sections + ['} // namespace ' ~ namespace_name] -%} + + {{- ns.sections | join('\n') -}} +{%- endmacro -%} + + +{# ----------- MESSAGE RENDERING HELPER FUNCTIONS ------------ #} + +{%- macro render_role_message(message, role=None) -%} + {%- if not role -%} + {%- set role = message["role"] -%} + {%- endif -%} + + {%- set message_content = message['content'] or '' -%} + {%- if message_content is not string -%} + {%- set message_content = message_content | tojson(ensure_ascii=False) -%} + {%- endif -%} + + {{- role + add_tokens.role_sep + message_content + add_tokens.message_sep -}} + +{%- endmacro -%} + + +{%- macro render_function_call(message) -%} + {%- set call = message['content'] -%} + {%- if call.function -%} + {%- set call = call.function -%} + {%- endif -%} + + {%- set arguments = call['arguments'] -%} + {%- if arguments is not string -%} + {%- set arguments = arguments| tojson(ensure_ascii=False) -%} + {%- endif -%} + + {{- render_role_message( + { + 'role': 'function call', + 'content': '{"name": "' ~ call['name'] ~ '", "arguments": ' ~ arguments ~ '}' + } + ) -}} +{%- endmacro -%} + +{# ----- SPECIAL TOKENS ----- #} + +{%- set add_tokens = namespace( + role_sep="<|role_sep|>\n", + message_sep="<|message_sep|>\n\n" +) -%} + +{# ----- DEFAULT DEVSYSTEM ----- #} + +{%- set DEVSYSTEM -%} + +Description of the roles available in the dialog. + +`developer system` +A message added by Sber before the main dialog. It has the highest priority and sets global, non-overridable conditions (for example, conversation rules, the safety policy, the assistant's overall response style, etc.). + +`system` +A system instruction added by developers or by the user, but with a lower priority than `developer system`. It usually describes the assistant's instructions, a specific response style, and other conditions for this particular dialog. + +`user` +A message or request from the user. The assistant follows it if it does not conflict with higher-priority instructions (see ). + +`user memory` +A sequence of the most up-to-date long-term facts about the user at the time of their request, presented as a JSON list of strings. Facts are listed in chronological order, meaning newer facts are appended to the end of the sequence. When facts are changed or deleted, records of previous facts remain in the sequence. The assistant saves facts using a function and uses them in accordance with the block below. + +`added files` +Metadata about files available for use in the dialog, presented in JSON format. It contains the following keys: id (a unique file identifier), name (file name), type (file type). + +`assistant` +The assistant's reply to the user's request. If the system instruction or the user does not set additional rules for `assistant`, this reply must comply with the instructions in the block below. The list of functions available to call is contained in `function descriptions`. The name of the required function and its arguments will be generated next by the `function call` role. In its replies, the assistant follows the instructions in accordance with . + +`function descriptions` +Function descriptions in TypeScript format. A function is a special tool (or a set of instructions) that the assistant can call to perform specific actions, computations, or obtain data needed to solve the user's task. Each function description contains blocks with the name, description, and arguments. Sometimes the description contains separate blocks with return parameters and usage examples that illustrate the correct call and arguments. + +`function call` +The function that `assistant` calls based on the dialog context, and its arguments. The function is invoked in strict accordance with the instructions in the block. + +`function result` +The result of the last function call. + + + +The assistant can work with the following modalities: text, available functions. + + + +If instructions from different roles conflict within the dialog context, observe the following priorities: +`developer system` > `system` > `user` > `function descriptions` > `function result` > `user memory` + + + +Basic instructions for working with functions. + +Only call those functions that are described in `function descriptions`. + +Call available functions when, according to their description, such a call will help provide a more complete and/or accurate answer to the user's request. Fill in function arguments using information from the dialog context. If a function could help answer the request but a required argument is missing from the context, ask the user for the missing data before calling the function. If a necessary function is unavailable or an error occurs, briefly inform the user and, if possible, suggest an alternative. + + + +Rules for using facts in long-term memory: + +If there is no message under the `user memory` role in the dialog, this is equivalent to the absence of long-term facts about the user in memory. In that case, information about the user is limited to the current dialog, and no new facts should be saved. + + + +You are a helpful assistant. + +# Instructions +- Strictly follow the instruction priority. +- Maintain a logical chain of reasoning when answering the user's question. +- For complex questions (for example, STEM), try to answer in detail unless the system message or dialog context limits the response length. +- Be helpful, truthful, and avoid unsafe or prohibited content in your responses. +- Try to reply in the language in which the user asked their question. + + +A dialog will follow below. +The dialog may include various roles described in the block. +Each turn begins with the role name and a special token that marks the end of the role's full name, and ends with a special end-of-turn token. +Your task is to continue the dialog from the last specified role in accordance with the dialog context. +{%- endset -%} + + +{#- ---------------------- RENDERING STARTS HERE ---------------------- -#} + + +{# ----- RENDER BOS TOKEN ----- #} +{{- bos_token -}} + + +{# ----- RENDER DEVSYSTEM ----- #} +{{- render_role_message({"role": "developer system", "content": DEVSYSTEM}) -}} + +{# ----- RENDER SYSTEM IF PRESENT ----- #} +{%- if messages and messages[0]['role'] == 'system' -%} + {{- render_role_message(messages[0]) -}} + {%- set messages = messages[1:] -%} +{%- endif -%} + +{# ----- RENDER TOOLS ----- #} +{%- if tools -%} + {%- set tools_content = ( + render_tool_namespace('functions', tools) + + "\n\n" + ) -%} + {{- render_role_message({'role': 'function descriptions', 'content': tools_content}) -}} +{%- endif -%} + +{# ----- MAIN MESSAGE LOOP ----- #} +{%- for message in messages -%} + + {# ----- TOOL MESSAGE -------#} + {%- if message['role'] == 'tool' -%} + {{- render_role_message(message, 'function result') -}} + + + {# ----- ASSISTANT MESSAGE ----- #} + {%- elif message['role'] == 'assistant' -%} + + {# ----- FUNCTION CALL PART CHECKING: SINGLE CALL SETUP ----- #} + {%- if message.tool_calls is defined and message.tool_calls -%} + {%- set function_call = message.tool_calls[0] -%} + {%- else -%} + {%- set function_call = None -%} + {%- endif -%} + + {# ----- MAIN ASSISTANT RENDERING ----- #} + + {{- render_role_message({'role': 'assistant', 'content': message.content}) -}} + {%- if function_call -%} + {{- render_function_call({'role': 'function call', 'content': function_call}) -}} + {%- endif -%} + + + {# ----- OTHER MESSAGES ----- #} + {%- else -%} + {{- render_role_message(message) -}} + {%- endif -%} + + {# ----- ADDING GENERATION PROMPT ----- #} + + {%- if loop.last and add_generation_prompt and message['role'] != 'assistant' -%} + {{- 'assistant' + add_tokens.role_sep -}} + {%- endif -%} + +{%- endfor -%} \ No newline at end of file diff --git a/models/templates/GigaChat3.1-10B-A1.8B.jinja b/models/templates/GigaChat3.1-10B-A1.8B.jinja new file mode 100644 index 0000000000..0557754acf --- /dev/null +++ b/models/templates/GigaChat3.1-10B-A1.8B.jinja @@ -0,0 +1,339 @@ +{#--------TOOL RENDERING FUNCTIONS---------#} + +{#--------------------------------------------------------------- + Converts JSON Schema (dict) to a TypeScript type definition +----------------------------------------------------------------#} +{%- macro json_schema_to_typescript(schema, indent="") -%} + {%- set ADDITIONAL_JSON_KEYS = ['format', 'maxItems', 'maximum', 'minItems', 'minimum', 'pattern'] -%} + {%- set ty = schema.get("type") -%} + + {# ---------------- OBJECT ---------------- #} + {%- if ty == "object" -%} + {{- "{\n" -}} + + {# Start building property list #} + {%- set props = schema.get("properties", {}) -%} + {%- set required = schema.get("required", []) -%} + {%- set has_additional_props = schema.get("additionalProperties") is defined -%} + {%- set additional_props_type = none -%} + {%- if has_additional_props -%} + {%- if schema.additionalProperties == true -%} + {%- set additional_props_type = {'type': 'any'} -%} + {%- elif schema.additionalProperties is mapping -%} + {%- set additional_props_type = schema.additionalProperties -%} + {%- endif -%} + {%- endif -%} + + {%- for key, val in props.items() -%} + {# ---------- Description Comments ---------- #} + {%- if "description" in val -%} + {%- for line in val['description'].split('\n') -%} + {%- if line.strip() -%} + {{- indent + '// ' + line + '\n' -}} + {%- endif -%} + {%- endfor -%} + {%- endif -%} + + {# ---------- Additional JSON Keys ---------- #} + {%- for add_key, add_val in val.items() -%} + {%- if add_key in ADDITIONAL_JSON_KEYS -%} + {%- if add_val is string -%} + {{- indent + '// ' + add_key + ': "' + add_val + '"' + '\n' -}} + {%- else -%} + {{- indent + '// ' + add_key + ': ' ~ add_val ~ '\n' -}} + {%- endif -%} + {%- endif -%} + {%- endfor -%} + + {# ---------- Property Definition ---------- #} + {%- set type_str = json_schema_to_typescript( + val, + indent + " " + ) -%} + + {{- indent + key + ('' if key in required else '?') + ': ' + type_str + ',' -}} + + {%- if "default" in val or "defalut_value" in val -%} + {%- set default = val.get("default", val.get("defalut_value")) -%} + {%- if default is string -%} + {{- ' // default: "' + default + '"' -}} + {%- else -%} + {{- ' // default: ' ~ default -}} + {%- endif -%} + {%- endif -%} + + {{- "\n" -}} + {%- endfor -%} + + {# Handle additionalProperties as index signature #} + {%- if has_additional_props and additional_props_type is not none -%} + {%- set additional_type_str = json_schema_to_typescript( + additional_props_type, + indent + " " + ) -%} + {{- indent + '[key: string]: ' + additional_type_str + '\n' -}} + {%- endif -%} + + {{- indent[: (indent|length - " "|length) ] + '}' -}} + + {# ---------------- STRING ---------------- #} + {%- elif ty == "string" -%} + {%- if schema.get("enum") -%} + {%- set ns = namespace(enum = []) -%} + {%- for en in schema['enum'] -%} + {%- set ns.enum = ns.enum + ['"' ~ en ~ '"'] -%} + {%- endfor -%} + {{- ns.enum | join(' | ') -}} + {%- elif schema.get("format", "none") in ['date-time', 'date'] -%} + {{- 'Date' -}} + {%- else -%} + {{- 'string' -}} + {%- endif -%} + + {# ---------------- NUMBER / INTEGER ---------------- #} + {%- elif ty in ["number", "integer"] -%} + {%- if schema.get("enum") -%} + {{- schema.enum | join(' | ') -}} + {%- else -%} + {{- 'number' -}} + {%- endif -%} + + {# ---------------- BOOLEAN ---------------- #} + {%- elif ty == "boolean" -%} + {{- 'boolean' -}} + + {# ---------------- ARRAY ---------------- #} + {%- elif ty == "array" -%} + {%- if "items" in schema -%} + {{- json_schema_to_typescript(schema['items'], indent) + '[]' -}} + {%- else -%} + {{- 'Array' -}} + {%- endif -%} + + {# ---------------- FALLBACK ---------------- #} + {%- else -%} + {{- 'any' -}} + {%- endif -%} +{%- endmacro -%} + +{#--------------------------------------------------------------- + Renders a namespace and its tool definitions in TypeScript style +----------------------------------------------------------------#} + +{%- macro render_tool_namespace(namespace_name, tools) -%} + {%- set ns = namespace(sections = ['namespace ' ~ namespace_name ~ ' {']) -%} + + {%- for tool in tools -%} + {%- if tool.function -%} + {%- set tool = tool.function -%} + {%- endif -%} + + {%- set ns_tool = namespace(content_lines=[]) -%} + + {# ---------- TOOL DESCRIPTION ---------- #} + {%- if tool.get('description') -%} + {%- for line in tool['description'].split('\n') -%} + {%- if line.strip() -%} + {%- set ns_tool.content_lines = ns_tool.content_lines + ['// ' ~ line] -%} + {%- endif -%} + {%- endfor -%} + {%- endif -%} + + {# ---------- TOOL SIGNATURE ---------- #} + {%- set main_body = "" -%} + {%- set params = tool.get("parameters") -%} + {%- if params and params.get("properties") -%} + {%- set param_type = json_schema_to_typescript(params, " ") -%} + {%- set main_body = 'type ' ~ tool.name ~ ' = (_: ' ~ param_type ~ ') => ' -%} + {%- else -%} + {%- set main_body = 'type ' ~ tool.name ~ ' = () => ' -%} + {%- endif -%} + + {# ---------- RETURN TYPE ---------- #} + {%- set return_params = tool.get("return_parameters") -%} + {%- if return_params and return_params.get("properties") -%} + {%- set return_type = json_schema_to_typescript(return_params, " ") -%} + {%- set main_body = main_body ~ return_type -%} + {%- else -%} + {%- set main_body = main_body ~ 'any' -%} + {%- endif -%} + + {%- set main_body = main_body ~ ';\n' -%} + + {%- set ns_tool.content_lines = ns_tool.content_lines + [main_body] -%} + + {# ---------- ADD TOOL TO SECTIONS ---------- #} + {%- set ns.sections = ns.sections + [ns_tool.content_lines | join('\n')] -%} + {%- endfor -%} + + {%- set ns.sections = ns.sections + ['} // namespace ' ~ namespace_name] -%} + + {{- ns.sections | join('\n') -}} +{%- endmacro -%} + + +{# ----------- MESSAGE RENDERING HELPER FUNCTIONS ------------ #} + +{%- macro render_function_call(call) -%} + {%- if call.function -%} + {%- set call = call.function -%} + {%- endif -%} + + {%- set arguments = call['arguments'] -%} + {%- if arguments is not string -%} + {%- set arguments = arguments| tojson(ensure_ascii=False) -%} + {%- endif -%} + + {{- '{"name": "' ~ call['name'] ~ '", "arguments": ' ~ arguments ~ '}' -}} +{%- endmacro -%} + + +{%- macro render_role_message(message, role=None) -%} + {%- if not role -%} + {%- set role = message["role"] -%} + {%- endif -%} + + {%- set message_content = message['content'] or '' -%} + {%- if message_content is not string -%} + {%- set message_content = message_content | tojson(ensure_ascii=False) -%} + {%- endif -%} + + {{- role + add_tokens.role_sep + message_content -}} + + {%- if message.tool_calls is defined and message.tool_calls -%} + {{- add_tokens.function_call + render_function_call(message.tool_calls[0]) -}} + {%- endif -%} + + {{- add_tokens.message_sep -}} + +{%- endmacro -%} + + + +{# ----- SPECIAL TOKENS ----- #} + +{%- set add_tokens = namespace( + role_sep="<|role_sep|>\n", + message_sep="<|message_sep|>\n\n", + function_call="<|function_call|>" +) -%} + +{# ----- DEFAULT DEVSYSTEM ----- #} + +{%- set DEVSYSTEM -%} + +Description of the roles available in the dialog. + +`developer system` +A message added by Sber before the main dialog. It has the highest priority and sets global, non-overridable conditions (for example, conversation rules, the safety policy, the assistant's overall response style, etc.). + +`system` +A system instruction added by developers or by the user, but with a lower priority than `developer system`. It usually describes the assistant's instructions, a specific response style, and other conditions for this particular dialog. + +`user` +A message or request from the user. The assistant follows it if it does not conflict with higher-priority instructions (see ). + +`user memory` +A sequence of the most up-to-date long-term facts about the user at the time of their request, presented as a JSON list of strings. Facts are listed in chronological order, meaning newer facts are appended to the end of the sequence. When facts are changed or deleted, records of previous facts remain in the sequence. The assistant saves facts using a function and uses them in accordance with the block below. + +`added files` +Metadata about files available for use in the dialog, presented in JSON format. It contains the following keys: id (a unique file identifier), name (file name), type (file type). + +`assistant` +The assistant's reply to the user's request. If the system instruction or the user does not set additional rules for `assistant`, this reply must comply with the instructions in the block below. The list of functions available to call is contained in `function descriptions`. The name of the required function and its arguments will be generated next by the `function call` role. In its replies, the assistant follows the instructions in accordance with . + +`function descriptions` +Function descriptions in TypeScript format. A function is a special tool (or a set of instructions) that the assistant can call to perform specific actions, computations, or obtain data needed to solve the user's task. Each function description contains blocks with the name, description, and arguments. Sometimes the description contains separate blocks with return parameters and usage examples that illustrate the correct call and arguments. + +`function call` +The function that `assistant` calls based on the dialog context, and its arguments. The function is invoked in strict accordance with the instructions in the block. + +`function result` +The result of the last function call. + + + +The assistant can work with the following modalities: text, available functions. + + + +If instructions from different roles conflict within the dialog context, observe the following priorities: +`developer system` > `system` > `user` > `function descriptions` > `function result` > `user memory` + + + +Basic instructions for working with functions. + +Only call those functions that are described in `function descriptions`. + +Call available functions when, according to their description, such a call will help provide a more complete and/or accurate answer to the user's request. Fill in function arguments using information from the dialog context. If a function could help answer the request but a required argument is missing from the context, ask the user for the missing data before calling the function. If a necessary function is unavailable or an error occurs, briefly inform the user and, if possible, suggest an alternative. + + + +Rules for using facts in long-term memory: + +If there is no message under the `user memory` role in the dialog, this is equivalent to the absence of long-term facts about the user in memory. In that case, information about the user is limited to the current dialog, and no new facts should be saved. + + + +You are a helpful assistant. + +# Instructions +- Strictly follow the instruction priority. +- Maintain a logical chain of reasoning when answering the user's question. +- For complex questions (for example, STEM), try to answer in detail unless the system message or dialog context limits the response length. +- Be helpful, truthful, and avoid unsafe or prohibited content in your responses. +- Try to reply in the language in which the user asked their question. + + +A dialog will follow below. +The dialog may include various roles described in the block. +Each turn begins with the role name and a special token that marks the end of the role's full name, and ends with a special end-of-turn token. +Your task is to continue the dialog from the last specified role in accordance with the dialog context. +{%- endset -%} + + +{#- ---------------------- RENDERING STARTS HERE ---------------------- -#} + + +{# ----- RENDER BOS TOKEN ----- #} +{{- bos_token -}} + + +{# ----- RENDER DEVSYSTEM ----- #} +{{- render_role_message({"role": "developer system", "content": DEVSYSTEM}) -}} + +{# ----- RENDER SYSTEM IF PRESENT ----- #} +{%- if messages and messages[0]['role'] == 'system' -%} + {{- render_role_message(messages[0]) -}} + {%- set messages = messages[1:] -%} +{%- endif -%} + +{# ----- RENDER TOOLS ----- #} +{%- if tools -%} + {%- set tools_content = ( + render_tool_namespace('functions', tools) + + "\n\n" + ) -%} + {{- render_role_message({'role': 'function descriptions', 'content': tools_content}) -}} +{%- endif -%} + +{# ----- MAIN MESSAGE LOOP ----- #} +{%- for message in messages -%} + + {# ----- TOOL MESSAGE -------#} + {%- if message['role'] == 'tool' -%} + {{- render_role_message(message, 'function result') -}} + + {# ----- OTHER MESSAGES ----- #} + {%- else -%} + {{- render_role_message(message) -}} + {%- endif -%} + + {# ----- ADDING GENERATION PROMPT ----- #} + + {%- if loop.last and add_generation_prompt and message['role'] != 'assistant' -%} + {{- 'assistant' + add_tokens.role_sep -}} + {%- endif -%} + +{%- endfor -%} \ No newline at end of file diff --git a/models/templates/LFM2-8B-A1B.jinja b/models/templates/LFM2-8B-A1B.jinja index 3738b3d145..fab22e952b 100644 --- a/models/templates/LFM2-8B-A1B.jinja +++ b/models/templates/LFM2-8B-A1B.jinja @@ -6,7 +6,7 @@ {%- set messages = messages[1:] -%} {%- endif -%} {%- if tools -%} - {%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "You can use the following tools: <|tool_list_start|>[" -%} + {%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: <|tool_list_start|>[" -%} {%- for tool in tools -%} {%- if tool is not string -%} {%- set tool = tool | tojson -%} @@ -17,7 +17,6 @@ {%- endif -%} {%- endfor -%} {%- set ns.system_prompt = ns.system_prompt + "]<|tool_list_end|>" -%} - {{- '**IMPORTANT**: The syntax for calling the tools is: <|tool_call_start|>JSON tool call goes here<|tool_call_end|>. Please only call tools in the specified manner.' -}} {%- endif -%} {%- if ns.system_prompt -%} {{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}} @@ -30,18 +29,9 @@ {%- endif -%} {%- if message["role"] == "tool" -%} {%- set content = "<|tool_response_start|>" + content + "<|tool_response_end|>" -%} - {%- elif message["role"] == "assistant" -%} - {%- if message.tool_calls %} - {%- for tool_call in message.tool_calls %} - {%- if tool_call.function %} - {%- set tool_call = tool_call.function %} - {%- endif %} - {{- '\n<|tool_call_start|>\n{"name": "' + tool_call.name + '", "arguments": ' + (tool_call.arguments if tool_call.arguments is string else tool_call.arguments | tojson) + '}\n<|tool_call_end|>\n' }} - {%- endfor %} - {%- endif %} {%- endif -%} {{- content + "<|im_end|>\n" -}} {%- endfor -%} {%- if add_generation_prompt -%} {{- "<|im_start|>assistant\n" -}} -{%- endif -%} +{%- endif -%} \ No newline at end of file diff --git a/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja index 9e6ec845d3..7349ce9eca 100644 --- a/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja +++ b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja @@ -15,10 +15,10 @@ {%- set ns.is_tool = false -%} {%- for tool in message['tool_calls']-%} {%- if not ns.is_first -%} - {{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}} + {{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] | tojson + '\n' + '```' + '<｜tool▁call▁end｜>'}} {%- set ns.is_first = true -%} {%- else -%} - {{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}} + {{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] | tojson + '\n' + '```' + '<｜tool▁call▁end｜>'}} {%- endif -%} {%- endfor -%} {{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}} diff --git a/models/templates/deepseek-ai-DeepSeek-V3.1.jinja b/models/templates/deepseek-ai-DeepSeek-V3.1.jinja index 2fd1c415b8..e987c2a16e 100644 --- a/models/templates/deepseek-ai-DeepSeek-V3.1.jinja +++ b/models/templates/deepseek-ai-DeepSeek-V3.1.jinja @@ -28,25 +28,25 @@ {%- set ns.is_last_user = true -%}{{'<｜User｜>' + message['content']}} {%- endif -%} {%- if message['role'] == 'assistant' and message['tool_calls'] -%} - {%- if ns.is_last_user -%}{{'<｜Assistant｜>'}} + {%- if ns.is_last_user -%}{{'<｜Assistant｜>'}} {%- endif -%} {%- set ns.is_last_user = false -%} {%- set ns.is_first = false -%} {%- set ns.is_tool = false -%} {%- for tool in message['tool_calls'] -%} {%- if not ns.is_first -%} - {%- if not message['content'] -%}{{'<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}} - {%- else -%}{{message['content'] + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}} + {%- if not message['content'] -%}{{'<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] | tojson + '<｜tool▁call▁end｜>'}} + {%- else -%}{{message['content'] + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] | tojson + '<｜tool▁call▁end｜>'}} {%- endif -%} {%- set ns.is_first = true -%} - {%- else -%}{{'<｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}} + {%- else -%}{{'<｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] | tojson + '<｜tool▁call▁end｜>'}} {%- endif -%} {%- endfor -%}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}} {%- endif -%} {%- if message['role'] == 'assistant' and not message['tool_calls'] -%} {%- if ns.is_last_user -%}{{'<｜Assistant｜>'}} {%- if message['prefix'] is defined and message['prefix'] and thinking -%}{{''}} - {%- else -%}{{''}} + {%- else -%}{{''}} {%- endif -%} {%- endif -%} {%- set ns.is_last_user = false -%} @@ -65,7 +65,7 @@ {%- endif -%} {%- endfor -%} {%- if add_generation_prompt and ns.is_last_user and not ns.is_tool -%}{{'<｜Assistant｜>'}} - {%- if not thinking -%}{{''}} - {%- else -%}{{''}} + {%- if not thinking -%}{{''}} + {%- else -%}{{''}} {%- endif -%} {%- endif %} \ No newline at end of file diff --git a/models/templates/llama-cpp-deepseek-r1.jinja b/models/templates/llama-cpp-deepseek-r1.jinja index 0d18870870..151b2edd02 100644 --- a/models/templates/llama-cpp-deepseek-r1.jinja +++ b/models/templates/llama-cpp-deepseek-r1.jinja @@ -49,7 +49,7 @@ Example function tool call syntax: {%- endif -%} {%- set tool_name = tc['function']['name'] -%} {%- set tool_args = tc['function']['arguments'] -%} - {{- '<｜tool▁call▁begin｜>' + tc['type'] + '<｜tool▁sep｜>' + tool_name + '\n' + '```json' + '\n' + tool_args + '\n' + '```' + '<｜tool▁call▁end｜>' -}} + {{- '<｜tool▁call▁begin｜>' + tc['type'] + '<｜tool▁sep｜>' + tool_name + '\n' + '```json' + '\n' + tool_args | tojson + '\n' + '```' + '<｜tool▁call▁end｜>' -}} {%- endfor -%} {{- '<｜tool▁calls▁end｜><｜end▁of▁sentence｜>' -}} {%- endif -%} diff --git a/models/templates/llama-cpp-lfm2.jinja b/models/templates/llama-cpp-lfm2.jinja deleted file mode 100644 index b7921120bc..0000000000 --- a/models/templates/llama-cpp-lfm2.jinja +++ /dev/null @@ -1,37 +0,0 @@ -{{- bos_token -}} -{%- set system_prompt = "" -%} -{%- set ns = namespace(system_prompt="") -%} -{%- if messages[0]["role"] == "system" -%} - {%- set ns.system_prompt = messages[0]["content"] -%} - {%- set messages = messages[1:] -%} -{%- endif -%} -{%- if tools -%} - {%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: <|tool_list_start|>[" -%} - {%- for tool in tools -%} - {%- if tool is not string -%} - {%- set tool = tool | tojson -%} - {%- endif -%} - {%- set ns.system_prompt = ns.system_prompt + tool -%} - {%- if not loop.last -%} - {%- set ns.system_prompt = ns.system_prompt + ", " -%} - {%- endif -%} - {%- endfor -%} - {%- set ns.system_prompt = ns.system_prompt + "]<|tool_list_end|>" -%} -{%- endif -%} -{%- if ns.system_prompt -%} - {{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}} -{%- endif -%} -{%- for message in messages -%} - {{- "<|im_start|>" + message["role"] + "\n" -}} - {%- set content = message["content"] -%} - {%- if content is not string -%} - {%- set content = content | tojson -%} - {%- endif -%} - {%- if message["role"] == "tool" -%} - {%- set content = "<|tool_response_start|>" + content + "<|tool_response_end|>" -%} - {%- endif -%} - {{- content + "<|im_end|>\n" -}} -{%- endfor -%} -{%- if add_generation_prompt -%} - {{- "<|im_start|>assistant\n" -}} -{%- endif -%} diff --git a/models/templates/meetkai-functionary-medium-v3.1.jinja b/models/templates/meetkai-functionary-medium-v3.1.jinja index 29d64a215a..5f74b72f33 100644 --- a/models/templates/meetkai-functionary-medium-v3.1.jinja +++ b/models/templates/meetkai-functionary-medium-v3.1.jinja @@ -42,9 +42,9 @@ {%- if 'tool_calls' in message and message['tool_calls'] -%} {%- for tool_call in message['tool_calls'] -%} {%- if tool_call["function"]["name"] == "python" -%} - {{ '<|python_tag|>' + tool_call['function']['arguments'] }} + {{ '<|python_tag|>' + tool_call['function']['arguments'] | tojson }} {%- else -%} - {{ '' + tool_call['function']['arguments'] + '' }} + {{ '' + tool_call['function']['arguments'] | tojson + '' }} {%- endif -%} {%- endfor -%} {{ '<|eom_id|>' }} diff --git a/pyrightconfig.json b/pyrightconfig.json index a7bc007bdc..14d84fdbe7 100644 --- a/pyrightconfig.json +++ b/pyrightconfig.json @@ -1,5 +1,5 @@ { - "extraPaths": ["gguf-py", "examples/model-conversion/scripts"], + "extraPaths": ["gguf-py", "examples/model-conversion/scripts", "examples/model-conversion/scripts/utils"], "pythonVersion": "3.9", "pythonPlatform": "All", "reportUnusedImport": "warning", diff --git a/scripts/compare-llama-bench.py b/scripts/compare-llama-bench.py index 9541b89eb9..f43d24ebf1 100755 --- a/scripts/compare-llama-bench.py +++ b/scripts/compare-llama-bench.py @@ -293,6 +293,10 @@ class LlamaBenchData: for t in self.repo.tags: if t.name == name: return t.commit.hexsha[:self.build_len] + for remote in self.repo.remotes: + for ref in remote.refs: + if ref.name == name or ref.remote_head == name: + return ref.commit.hexsha[:self.build_len] for c in self.repo.iter_commits("--all"): if c.hexsha[:self.build_len] == name[:self.build_len]: return c.hexsha[:self.build_len] @@ -680,6 +684,7 @@ else: sys.exit(1) +assert isinstance(hexsha8_baseline, str) name_baseline = bench_data.get_commit_name(hexsha8_baseline) hexsha8_compare = name_compare = None @@ -713,6 +718,7 @@ else: parser.print_help() sys.exit(1) +assert isinstance(hexsha8_compare, str) name_compare = bench_data.get_commit_name(hexsha8_compare) # Get tool-specific configuration diff --git a/scripts/fetch_server_test_models.py b/scripts/fetch_server_test_models.py index ac483ef5d7..f43d1f63cd 100755 --- a/scripts/fetch_server_test_models.py +++ b/scripts/fetch_server_test_models.py @@ -95,9 +95,9 @@ if __name__ == '__main__': '-p', 'Hey', '--no-warmup', '--log-disable', - '-no-cnv'] + '-st'] if m.hf_file != 'tinyllamas/stories260K.gguf' and 'Mistral-Nemo' not in m.hf_repo: - cmd.append('-fa') + cmd += ('-fa', 'on') try: subprocess.check_call(cmd) except subprocess.CalledProcessError: diff --git a/scripts/get-hellaswag.sh b/scripts/get-hellaswag.sh index 484e56fd8f..0b161141f4 100755 --- a/scripts/get-hellaswag.sh +++ b/scripts/get-hellaswag.sh @@ -1,10 +1,38 @@ -#!/usr/bin/env bash +#!/bin/sh +# vim: set ts=4 sw=4 et: -wget https://raw.githubusercontent.com/klosax/hellaswag_text_data/main/hellaswag_val_full.txt +FILE="hellaswag_val_full.txt" +URL="https://raw.githubusercontent.com/klosax/hellaswag_text_data/main/$FILE" -echo "Usage:" -echo "" -echo " ./llama-perplexity -m model.gguf -f hellaswag_val_full.txt --hellaswag [--hellaswag-tasks N] [other params]" -echo "" +die() { + printf "%s\n" "$@" >&2 + exit 1 +} -exit 0 +have_cmd() { + for cmd; do + command -v "$cmd" >/dev/null || return + done +} + +dl() { + [ -f "$2" ] && return + if have_cmd wget; then + wget "$1" -O "$2" + elif have_cmd curl; then + curl -L "$1" -o "$2" + else + die "Please install wget or curl" + fi +} + +if [ ! -f "$FILE" ]; then + dl "$URL" "$FILE" || exit +fi + +cat <&2 + exit 1 +} -exit 0 +have_cmd() { + for cmd; do + command -v "$cmd" >/dev/null || return + done +} + +dl() { + [ -f "$2" ] && return + if have_cmd wget; then + wget "$1" -O "$2" + elif have_cmd curl; then + curl -L "$1" -o "$2" + else + die "Please install wget or curl" + fi +} + +if [ ! -f "$FILE" ]; then + dl "$URL" "$FILE" || exit +fi + +cat < /dev/null +cmake -B ${dir} -S . ${cmake_args} > /dev/null +cmake --build ${dir} -t llama-results -j $(nproc) > /dev/null +${dir}/bin/llama-results "${llama_results_args[@]}" diff --git a/scripts/git-bisect.sh b/scripts/git-bisect.sh new file mode 100755 index 0000000000..3279d502e1 --- /dev/null +++ b/scripts/git-bisect.sh @@ -0,0 +1,19 @@ +#!/usr/bin/env bash + +if [ $# -lt 2 ]; then + echo "usage: ./scripts/git-bisect.sh [additional arguments]" + echo " additional arguments: passed to CMake if they start with \"-D\", to llama-results otherwise" + exit 1 +fi + +set -e +set -x + +commit_bad=$1 +commit_good=$2 +script_dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )" +git checkout ${commit_good} +${script_dir}/git-bisect-run.sh --output results.gguf "${@:3}" +git bisect start ${commit_bad} ${commit_good} +git bisect run ${script_dir}/git-bisect-run.sh --output results.gguf --check "${@:3}" +git bisect reset diff --git a/scripts/hip/gcn-cdna-vgpr-check.py b/scripts/hip/gcn-cdna-vgpr-check.py new file mode 100644 index 0000000000..934728d4a6 --- /dev/null +++ b/scripts/hip/gcn-cdna-vgpr-check.py @@ -0,0 +1,157 @@ +#!/usr/bin/env python3 + +import sys +from collections import defaultdict + + +def parse_log_file(filepath): + """Parse log file and extract function VGPR usage.""" + import re + + functions = defaultdict(lambda: {'vgprs': 0, 'spill': 0, 'location': ''}) + + try: + with open(filepath, 'r') as f: + content = f.read() + # Find all function entries with VGPR usage including location + pattern = r'([^:]+:\d+):.*?Function Name: (\S+).*?VGPRs: (\d+).*?VGPRs Spill: (\d+)' + matches = re.findall(pattern, content, re.DOTALL) + + for location, func_name, vgprs, spill in matches: + functions[func_name]['vgprs'] = int(vgprs) + functions[func_name]['spill'] = int(spill) + # Extract just the filename and line number + parts = location.split('/') + if len(parts) > 0: + short_location = parts[-1] # Get last part (filename) + # Check if there's a line number after filename + if ':' in short_location: + functions[func_name]['location'] = short_location + else: + functions[func_name]['location'] = location + else: + functions[func_name]['location'] = location + except FileNotFoundError: + print(f"Error: File {filepath} not found", file=sys.stderr) # noqa: NP100 + sys.exit(1) + + return functions + + +def main(): + if len(sys.argv) < 2: + print("Usage: ./vgpr_check.py ", file=sys.stderr) # noqa: NP100 + sys.exit(1) + + log_file = sys.argv[1] + ignored = { + '_ZL21gated_linear_attn_f32ILi128EEviiiifPKfS1_S1_S1_S1_Pf', + '_ZL18flash_attn_ext_f16ILi64ELi64ELi16ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi80ELi80ELi16ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi96ELi96ELi16ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi64ELi64ELi32ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL13rwkv_wkv7_f32ILi128EEviiiiPKfS1_S1_S1_S1_S1_S1_Pf', + '_ZL18flash_attn_ext_f16ILi80ELi80ELi16ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi112ELi112ELi16ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi80ELi80ELi32ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi96ELi96ELi16ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi16ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi16ELi2ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi96ELi96ELi32ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi112ELi112ELi16ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi112ELi112ELi32ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi16ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi16ELi1ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi80ELi80ELi2ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi96ELi96ELi2ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi112ELi112ELi2ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi2ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi2ELi8ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi112ELi112ELi16ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi16ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi16ELi4ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi32ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi96ELi96ELi4ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi112ELi112ELi4ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi4ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi4ELi4ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi80ELi80ELi4ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi4ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi96ELi96ELi64ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi112ELi112ELi64ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi64ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi64ELi1ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi64ELi64ELi8ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi80ELi80ELi8ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi96ELi96ELi8ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi112ELi112ELi8ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi80ELi80ELi8ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi8ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi8ELi4ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi96ELi96ELi8ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi112ELi112ELi8ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi8ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi8ELi2ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi112ELi112ELi8ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi8ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi8ELi8ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL24mul_mat_q_stream_k_fixupIL9ggml_type22ELi8ELb1EEvPKiS2_PfPKfiiimimimi', + '_ZL9mul_mat_qIL9ggml_type3ELi32ELb0EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii', + '_ZL9mul_mat_qIL9ggml_type3ELi48ELb0EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii', + '_ZL9mul_mat_qIL9ggml_type20ELi32ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii', + '_ZL9mul_mat_qIL9ggml_type17ELi64ELb0EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii', + '_ZL18flash_attn_ext_f16ILi80ELi80ELi4ELi4ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL15flash_attn_tileILi256ELi256ELi32ELi1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL9mul_mat_qIL9ggml_type19ELi112ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii', + '_ZL9mul_mat_qIL9ggml_type17ELi112ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii', + '_ZL9mul_mat_qIL9ggml_type22ELi112ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii', + '_ZL9mul_mat_qIL9ggml_type19ELi128ELb0EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii', + '_ZL9mul_mat_qIL9ggml_type19ELi128ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii', + '_ZL9mul_mat_qIL9ggml_type7ELi112ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii', + '_ZL9mul_mat_qIL9ggml_type3ELi128ELb0EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii', + '_ZL9mul_mat_qIL9ggml_type3ELi128ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii', + '_ZL9mul_mat_qIL9ggml_type7ELi128ELb0EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii', + '_ZL9mul_mat_qIL9ggml_type7ELi128ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii', + '_ZL9mul_mat_qIL9ggml_type11ELi112ELb0EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii', + '_ZL9mul_mat_qIL9ggml_type11ELi112ELb1EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii', + '_ZL24mul_mat_q_stream_k_fixupIL9ggml_type11ELi128ELb0EEvPKiS2_PfPKfiiimimimi', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi32ELi1ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL9mul_mat_qIL9ggml_type2ELi112ELb0EEvPKcPKiS4_S4_PfS5_iiiiiiiiiiiiiiiii', + '_ZL18flash_attn_ext_f16ILi112ELi112ELi32ELi2ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi112ELi112ELi4ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi32ELi1ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi32ELi2ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi128ELi128ELi4ELi8ELb1ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + '_ZL18flash_attn_ext_f16ILi96ELi96ELi4ELi8ELb0ELb0EEvPKcS1_S1_S1_S1_PKiPfP15HIP_vector_typeIfLj2EEffffjfiS5_IjLj3EEiiiiiiiiiiiliiliiiiil', + } + + functions = parse_log_file(log_file) + found_issues = False + + # First print all ignored functions (deduplicated) + printed_ignored = set() + for func_name, data in sorted(functions.items()): + total_vgprs = int(data['vgprs']) + int(data['spill']) + if total_vgprs > 256 and func_name in ignored and func_name not in printed_ignored: + location = data.get('location', log_file) + print(f"{location}: {func_name} - Total VGPRs: {total_vgprs} ({data['vgprs']} + {data['spill']}) [IGNORED]") # noqa: NP100 + printed_ignored.add(func_name) + + # Then print new functions with issues in red + for func_name, data in sorted(functions.items()): + total_vgprs = int(data['vgprs']) + int(data['spill']) + if total_vgprs > 256 and func_name not in ignored: + status = "[IGNORED]" if func_name in ignored else "" + location = data.get('location', log_file) + # Print in red if not ignored + color_code = "\033[91m" if func_name not in ignored else "" + reset_code = "\033[0m" if func_name not in ignored else "" + print(f"{color_code}{location}: {func_name} - Total VGPRs: {total_vgprs} ({data['vgprs']} + {data['spill']}) {status}{reset_code}") # noqa: NP100 + if func_name not in ignored: + found_issues = True + + sys.exit(1 if found_issues else 0) + + +if __name__ == "__main__": + main() diff --git a/scripts/jinja/jinja-tester.py b/scripts/jinja/jinja-tester.py index a489305ee7..4f79b8da3d 100755 --- a/scripts/jinja/jinja-tester.py +++ b/scripts/jinja/jinja-tester.py @@ -241,10 +241,10 @@ class CodeEditor(QPlainTextEdit): if not self.isReadOnly(): selection = QTextEdit.ExtraSelection() line_color = QColorConstants.Yellow.lighter(160) - selection.format.setBackground(line_color) # pyright: ignore[reportAttributeAccessIssue] - selection.format.setProperty(QTextFormat.Property.FullWidthSelection, True) # pyright: ignore[reportAttributeAccessIssue] - selection.cursor = self.textCursor() # pyright: ignore[reportAttributeAccessIssue] - selection.cursor.clearSelection() # pyright: ignore[reportAttributeAccessIssue] + selection.format.setBackground(line_color) # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute] + selection.format.setProperty(QTextFormat.Property.FullWidthSelection, True) # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute] + selection.cursor = self.textCursor() # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute] + selection.cursor.clearSelection() # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute] extra_selections.append(selection) self.setExtraSelections(extra_selections) @@ -262,8 +262,8 @@ class CodeEditor(QPlainTextEdit): ) extra = QTextEdit.ExtraSelection() - extra.format.setBackground(color.lighter(160)) # pyright: ignore[reportAttributeAccessIssue] - extra.cursor = cursor # pyright: ignore[reportAttributeAccessIssue] + extra.format.setBackground(color.lighter(160)) # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute] + extra.cursor = cursor # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute] self.setExtraSelections(self.extraSelections() + [extra]) @@ -274,8 +274,8 @@ class CodeEditor(QPlainTextEdit): cursor.select(QTextCursor.SelectionType.LineUnderCursor) extra = QTextEdit.ExtraSelection() - extra.format.setBackground(color.lighter(160)) # pyright: ignore[reportAttributeAccessIssue] - extra.cursor = cursor # pyright: ignore[reportAttributeAccessIssue] + extra.format.setBackground(color.lighter(160)) # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute] + extra.cursor = cursor # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute] self.setExtraSelections(self.extraSelections() + [extra]) @@ -395,8 +395,8 @@ class JinjaTester(QMainWindow): ensure_ascii=ensure_ascii, ) ) - env.globals["strftime_now"] = lambda format: datetime.now().strftime(format) - env.globals["raise_exception"] = raise_exception + env.globals["strftime_now"] = lambda format: datetime.now().strftime(format) # ty: ignore[invalid-assignment] + env.globals["raise_exception"] = raise_exception # ty: ignore[invalid-assignment] try: template = env.from_string(template_str) output = template.render(context) diff --git a/scripts/server-bench.py b/scripts/server-bench.py index 202c35a486..1b557a495a 100755 --- a/scripts/server-bench.py +++ b/scripts/server-bench.py @@ -189,6 +189,7 @@ def benchmark( data: list[dict] = [] + assert isinstance(prompts, list) for i, p in enumerate(prompts): if seed_offset >= 0: random.seed(3 * (seed_offset + 1000 * i) + 1) diff --git a/scripts/snapdragon/adb/run-cli.sh b/scripts/snapdragon/adb/run-cli.sh index dfc051b28b..0178034b1f 100755 --- a/scripts/snapdragon/adb/run-cli.sh +++ b/scripts/snapdragon/adb/run-cli.sh @@ -39,6 +39,9 @@ opmask= nhvx= [ "$NHVX" != "" ] && nhvx="GGML_HEXAGON_NHVX=$NHVX" +hmx= +[ "$HMX" != "" ] && hmx="GGML_HEXAGON_USE_HMX=$HMX" + ndev= [ "$NDEV" != "" ] && ndev="GGML_HEXAGON_NDEV=$NDEV" @@ -51,7 +54,7 @@ adb $adbserial $adbhost shell " \ cd $basedir; ulimit -c unlimited; \ LD_LIBRARY_PATH=$basedir/$branch/lib \ ADSP_LIBRARY_PATH=$basedir/$branch/lib \ - $verbose $experimental $sched $opmask $profile $nhvx $ndev $hb \ + $verbose $experimental $sched $opmask $profile $nhvx $hmx $ndev $hb \ ./$branch/bin/llama-cli --no-mmap -m $basedir/../gguf/$model \ --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1 \ --ctx-size 8192 --ubatch-size 256 -fa on \ diff --git a/scripts/snapdragon/adb/run-completion.sh b/scripts/snapdragon/adb/run-completion.sh index d53b588739..67f58b156c 100755 --- a/scripts/snapdragon/adb/run-completion.sh +++ b/scripts/snapdragon/adb/run-completion.sh @@ -39,6 +39,9 @@ opmask= nhvx= [ "$NHVX" != "" ] && nhvx="GGML_HEXAGON_NHVX=$NHVX" +hmx= +[ "$HMX" != "" ] && hmx="GGML_HEXAGON_USE_HMX=$HMX" + ndev= [ "$NDEV" != "" ] && ndev="GGML_HEXAGON_NDEV=$NDEV" @@ -51,7 +54,7 @@ adb $adbserial $adbhost shell " \ cd $basedir; ulimit -c unlimited; \ LD_LIBRARY_PATH=$basedir/$branch/lib \ ADSP_LIBRARY_PATH=$basedir/$branch/lib \ - $verbose $experimental $sched $opmask $profile $nhvx $ndev $hb \ + $verbose $experimental $sched $opmask $profile $nhvx $hmx $ndev $hb \ ./$branch/bin/llama-completion --no-mmap -m $basedir/../gguf/$model \ --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1 \ --ctx-size 8192 --ubatch-size 256 -fa on \ diff --git a/scripts/snapdragon/adb/run-mtmd.sh b/scripts/snapdragon/adb/run-mtmd.sh index 41d7cd44f8..0c1cf89280 100755 --- a/scripts/snapdragon/adb/run-mtmd.sh +++ b/scripts/snapdragon/adb/run-mtmd.sh @@ -45,6 +45,9 @@ opmask= nhvx= [ "$NHVX" != "" ] && nhvx="GGML_HEXAGON_NHVX=$NHVX" +hmx= +[ "$HMX" != "" ] && hmx="GGML_HEXAGON_USE_HMX=$HMX" + ndev= [ "$NDEV" != "" ] && ndev="GGML_HEXAGON_NDEV=$NDEV" @@ -58,7 +61,7 @@ adb $adbserial $adbhost shell " \ cd $basedir; ulimit -c unlimited; \ LD_LIBRARY_PATH=$basedir/$branch/lib \ ADSP_LIBRARY_PATH=$basedir/$branch/lib \ - $verbose $experimental $sched $opmask $profile $nhvx $ndev $mtmd_backend \ + $verbose $experimental $sched $opmask $profile $hmx $nhvx $ndev $mtmd_backend \ ./$branch/bin/llama-mtmd-cli --no-mmap -m $basedir/../gguf/$model \ --mmproj $basedir/../gguf/$mmproj \ --image $basedir/../gguf/$image \ diff --git a/scripts/snapdragon/adb/run-tool.sh b/scripts/snapdragon/adb/run-tool.sh index 4647ede1f8..e53cacf320 100755 --- a/scripts/snapdragon/adb/run-tool.sh +++ b/scripts/snapdragon/adb/run-tool.sh @@ -36,6 +36,9 @@ opmask= nhvx= [ "$NHVX" != "" ] && nhvx="GGML_HEXAGON_NHVX=$NHVX" +hmx= +[ "$HMX" != "" ] && hmx="GGML_HEXAGON_USE_HMX=$HMX" + ndev= [ "$NDEV" != "" ] && ndev="GGML_HEXAGON_NDEV=$NDEV" @@ -50,5 +53,5 @@ adb $adbserial $adbhost shell " \ cd $basedir; ulimit -c unlimited; \ LD_LIBRARY_PATH=$basedir/$branch/lib \ ADSP_LIBRARY_PATH=$basedir/$branch/lib \ - $verbose $experimental $sched $opmask $profile $nhvx $ndev $hb ./$branch/bin/$tool $@ \ + $verbose $experimental $sched $opmask $profile $nhvx $hmx $ndev $hb ./$branch/bin/$tool $@ \ " diff --git a/scripts/sync-ggml.last b/scripts/sync-ggml.last index 02a096882e..6557fb46cb 100644 --- a/scripts/sync-ggml.last +++ b/scripts/sync-ggml.last @@ -1 +1 @@ -d6754f3d0e6d0acd21c12442353c9fd2f94188e7 +c044a8eeae2591faa0950c8b5e514cbc4bbfc4ca diff --git a/scripts/sync_vendor.py b/scripts/sync_vendor.py index a26cb26c9b..4d254afcd6 100755 --- a/scripts/sync_vendor.py +++ b/scripts/sync_vendor.py @@ -5,7 +5,7 @@ import os import sys import subprocess -HTTPLIB_VERSION = "refs/tags/v0.35.0" +HTTPLIB_VERSION = "refs/tags/v0.38.0" vendor = { "https://github.com/nlohmann/json/releases/latest/download/json.hpp": "vendor/nlohmann/json.hpp", @@ -15,7 +15,7 @@ vendor = { # not using latest tag to avoid this issue: https://github.com/ggml-org/llama.cpp/pull/17179#discussion_r2515877926 # "https://github.com/mackron/miniaudio/raw/refs/tags/0.11.24/miniaudio.h": "vendor/miniaudio/miniaudio.h", - "https://github.com/mackron/miniaudio/raw/13d161bc8d856ad61ae46b798bbeffc0f49808e8/miniaudio.h": "vendor/miniaudio/miniaudio.h", + "https://github.com/mackron/miniaudio/raw/9634bedb5b5a2ca38c1ee7108a9358a4e233f14d/miniaudio.h": "vendor/miniaudio/miniaudio.h", f"https://raw.githubusercontent.com/yhirose/cpp-httplib/{HTTPLIB_VERSION}/httplib.h": "httplib.h", f"https://raw.githubusercontent.com/yhirose/cpp-httplib/{HTTPLIB_VERSION}/split.py": "split.py", diff --git a/src/llama-adapter.cpp b/src/llama-adapter.cpp index d6a5800e63..2f2cc12af0 100644 --- a/src/llama-adapter.cpp +++ b/src/llama-adapter.cpp @@ -418,7 +418,7 @@ static void llama_adapter_lora_init_impl(llama_model & model, const char * path_ } llama_adapter_lora * llama_adapter_lora_init(llama_model * model, const char * path_lora) { - llama_adapter_lora * adapter = new llama_adapter_lora(); + llama_adapter_lora * adapter = new llama_adapter_lora(model); try { llama_adapter_lora_init_impl(*model, path_lora, *adapter); @@ -471,8 +471,17 @@ int32_t llama_adapter_meta_val_str_by_index(const llama_adapter_lora * adapter, return snprintf(buf, buf_size, "%s", it->second.c_str()); } -void llama_adapter_lora_free(llama_adapter_lora *) { - // deprecated: adapters are freed by llama_model's destructor +void llama_adapter_lora_free(llama_adapter_lora * adapter) { + if (adapter == nullptr) { + return; + } + + if (adapter->model != nullptr) { + adapter->model->loras.erase(adapter); + adapter->model = nullptr; + } + + delete adapter; } uint64_t llama_adapter_get_alora_n_invocation_tokens(const struct llama_adapter_lora * adapter) { diff --git a/src/llama-adapter.h b/src/llama-adapter.h index aa3ab63ad7..f0b1e50f81 100644 --- a/src/llama-adapter.h +++ b/src/llama-adapter.h @@ -61,6 +61,8 @@ struct llama_adapter_lora_weight { }; struct llama_adapter_lora { + llama_model * model = nullptr; + // map tensor name to lora_a_b std::unordered_map ab_map; @@ -75,7 +77,7 @@ struct llama_adapter_lora { // activated lora (aLoRA) std::vector alora_invocation_tokens; - llama_adapter_lora() = default; + explicit llama_adapter_lora(llama_model * model) : model(model) {} ~llama_adapter_lora() = default; llama_adapter_lora_weight * get_weight(ggml_tensor * w); diff --git a/src/llama-arch.cpp b/src/llama-arch.cpp index 47e8d5278a..84dc6d8f1b 100644 --- a/src/llama-arch.cpp +++ b/src/llama-arch.cpp @@ -4,6 +4,7 @@ #include #include +#include static const std::map LLM_ARCH_NAMES = { { LLM_ARCH_CLIP, "clip" }, // dummy, only used by llama-quantize @@ -122,6 +123,7 @@ static const std::map LLM_ARCH_NAMES = { { LLM_ARCH_RND1, "rnd1" }, { LLM_ARCH_PANGU_EMBED, "pangu-embedded" }, { LLM_ARCH_MISTRAL3, "mistral3" }, + { LLM_ARCH_MISTRAL4, "mistral4" }, { LLM_ARCH_PADDLEOCR, "paddleocr" }, { LLM_ARCH_MIMO2, "mimo2" }, { LLM_ARCH_STEP35, "step35" }, @@ -184,6 +186,7 @@ static const std::map LLM_KV_NAMES = { { LLM_KV_EXPERT_GROUP_SCALE, "%s.expert_group_scale" }, { LLM_KV_EXPERTS_PER_GROUP, "%s.experts_per_group" }, { LLM_KV_MOE_EVERY_N_LAYERS, "%s.moe_every_n_layers" }, + { LLM_KV_MOE_LATENT_SIZE, "%s.moe_latent_size" }, { LLM_KV_NEXTN_PREDICT_LAYERS, "%s.nextn_predict_layers" }, { LLM_KV_NUM_DEEPSTACK_LAYERS, "%s.n_deepstack_layers" }, { LLM_KV_POOLING_TYPE, "%s.pooling_type" }, @@ -229,11 +232,14 @@ static const std::map LLM_KV_NAMES = { { LLM_KV_ATTENTION_TEMPERATURE_SCALE, "%s.attention.temperature_scale" }, { LLM_KV_ATTENTION_KEY_LENGTH_MLA, "%s.attention.key_length_mla" }, { LLM_KV_ATTENTION_VALUE_LENGTH_MLA, "%s.attention.value_length_mla" }, + { LLM_KV_ATTENTION_KEY_LENGTH_SWA, "%s.attention.key_length_swa" }, + { LLM_KV_ATTENTION_VALUE_LENGTH_SWA, "%s.attention.value_length_swa" }, { LLM_KV_ATTENTION_INDEXER_HEAD_COUNT, "%s.attention.indexer.head_count" }, { LLM_KV_ATTENTION_INDEXER_KEY_LENGTH, "%s.attention.indexer.key_length" }, { LLM_KV_ATTENTION_INDEXER_TOP_K, "%s.attention.indexer.top_k" }, { LLM_KV_ROPE_DIMENSION_COUNT, "%s.rope.dimension_count" }, + { LLM_KV_ROPE_DIMENSION_COUNT_SWA, "%s.rope.dimension_count_swa" }, { LLM_KV_ROPE_DIMENSION_SECTIONS, "%s.rope.dimension_sections" }, { LLM_KV_ROPE_FREQ_BASE, "%s.rope.freq_base" }, { LLM_KV_ROPE_FREQ_BASE_SWA, "%s.rope.freq_base_swa" }, @@ -361,6 +367,8 @@ static const std::map LLM_TENSOR_NAMES = { { LLM_TENSOR_FFN_UP_SHEXP, "blk.%d.ffn_up_shexp" }, { LLM_TENSOR_FFN_DOWN_SHEXP, "blk.%d.ffn_down_shexp" }, { LLM_TENSOR_FFN_EXP_PROBS_B, "blk.%d.exp_probs_b" }, + { LLM_TENSOR_FFN_LATENT_DOWN, "blk.%d.ffn_latent_down" }, + { LLM_TENSOR_FFN_LATENT_UP, "blk.%d.ffn_latent_up" }, { LLM_TENSOR_ATTN_NORM_2, "blk.%d.attn_norm_2" }, { LLM_TENSOR_ATTN_QKV, "blk.%d.attn_qkv" }, { LLM_TENSOR_LAYER_OUT_NORM, "blk.%d.layer_output_norm" }, @@ -1083,6 +1091,7 @@ static std::set llm_get_tensor_names(llm_arch arch) { LLM_TENSOR_TOKEN_EMBD, LLM_TENSOR_OUTPUT_NORM, LLM_TENSOR_OUTPUT, + LLM_TENSOR_CLS_OUT, LLM_TENSOR_ATTN_NORM, LLM_TENSOR_ATTN_Q, LLM_TENSOR_ATTN_Q_NORM, @@ -1581,6 +1590,7 @@ static std::set llm_get_tensor_names(llm_arch arch) { LLM_TENSOR_FFN_UP_SHEXP, }; case LLM_ARCH_DEEPSEEK2: + case LLM_ARCH_MISTRAL4: return { LLM_TENSOR_TOKEN_EMBD, LLM_TENSOR_OUTPUT_NORM, @@ -1874,6 +1884,8 @@ static std::set llm_get_tensor_names(llm_arch arch) { LLM_TENSOR_FFN_UP_EXPS, LLM_TENSOR_FFN_DOWN_EXPS, LLM_TENSOR_FFN_EXP_PROBS_B, + LLM_TENSOR_FFN_LATENT_DOWN, + LLM_TENSOR_FFN_LATENT_UP, // MoE shared expert layer LLM_TENSOR_FFN_DOWN_SHEXP, LLM_TENSOR_FFN_UP_SHEXP, @@ -2749,6 +2761,9 @@ static const std::map LLM_TENSOR_INFOS = { {LLM_TENSOR_NEXTN_HNORM, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}}, {LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, {LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}}, + // Nemotron 3 Super + {LLM_TENSOR_FFN_LATENT_DOWN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, + {LLM_TENSOR_FFN_LATENT_UP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, }; LLM_KV::LLM_KV(llm_arch arch, const char * suffix) : arch(arch), suffix(suffix) {} @@ -2786,6 +2801,15 @@ std::string LLM_TN_IMPL::str() const { return name; } +std::vector llm_arch_all() { + std::vector ret; + ret.reserve(LLM_ARCH_NAMES.size()); + for (const auto & [arch, _] : LLM_ARCH_NAMES) { + ret.push_back(arch); + } + return ret; +} + const char * llm_arch_name(llm_arch arch) { auto it = LLM_ARCH_NAMES.find(arch); if (it == LLM_ARCH_NAMES.end()) { diff --git a/src/llama-arch.h b/src/llama-arch.h index 6d1b1df31c..9b9eec2f5c 100644 --- a/src/llama-arch.h +++ b/src/llama-arch.h @@ -4,6 +4,7 @@ #include #include +#include // // gguf constants (sync with gguf.py) @@ -126,6 +127,7 @@ enum llm_arch { LLM_ARCH_RND1, LLM_ARCH_PANGU_EMBED, LLM_ARCH_MISTRAL3, + LLM_ARCH_MISTRAL4, LLM_ARCH_PADDLEOCR, LLM_ARCH_MIMO2, LLM_ARCH_STEP35, @@ -188,6 +190,7 @@ enum llm_kv { LLM_KV_EXPERT_GROUP_SCALE, LLM_KV_EXPERTS_PER_GROUP, LLM_KV_MOE_EVERY_N_LAYERS, + LLM_KV_MOE_LATENT_SIZE, LLM_KV_NEXTN_PREDICT_LAYERS, LLM_KV_NUM_DEEPSTACK_LAYERS, LLM_KV_POOLING_TYPE, @@ -233,11 +236,14 @@ enum llm_kv { LLM_KV_ATTENTION_TEMPERATURE_SCALE, LLM_KV_ATTENTION_KEY_LENGTH_MLA, LLM_KV_ATTENTION_VALUE_LENGTH_MLA, + LLM_KV_ATTENTION_KEY_LENGTH_SWA, + LLM_KV_ATTENTION_VALUE_LENGTH_SWA, LLM_KV_ATTENTION_INDEXER_HEAD_COUNT, LLM_KV_ATTENTION_INDEXER_KEY_LENGTH, LLM_KV_ATTENTION_INDEXER_TOP_K, LLM_KV_ROPE_DIMENSION_COUNT, + LLM_KV_ROPE_DIMENSION_COUNT_SWA, LLM_KV_ROPE_DIMENSION_SECTIONS, LLM_KV_ROPE_FREQ_BASE, LLM_KV_ROPE_FREQ_BASE_SWA, @@ -381,6 +387,8 @@ enum llm_tensor { LLM_TENSOR_FFN_GATE_CHEXPS, LLM_TENSOR_FFN_UP_CHEXPS, LLM_TENSOR_FFN_EXP_PROBS_B, + LLM_TENSOR_FFN_LATENT_DOWN, + LLM_TENSOR_FFN_LATENT_UP, LLM_TENSOR_ATTN_Q_NORM, LLM_TENSOR_ATTN_K_NORM, LLM_TENSOR_LAYER_OUT_NORM, @@ -608,6 +616,8 @@ struct llm_tensor_info { ggml_op op; }; +std::vector llm_arch_all(); + const char * llm_arch_name(llm_arch arch); llm_arch llm_arch_from_string(const std::string & name); diff --git a/src/llama-context.cpp b/src/llama-context.cpp index d050604b2a..6aa73630c9 100644 --- a/src/llama-context.cpp +++ b/src/llama-context.cpp @@ -7,6 +7,7 @@ #include "llama-memory.h" #include "llama-mmap.h" #include "llama-model.h" +#include "llama-ext.h" #include #include @@ -150,6 +151,10 @@ llama_context::llama_context( cparams.flash_attn = params.flash_attn_type != LLAMA_FLASH_ATTN_TYPE_DISABLED; cparams.auto_fa = params.flash_attn_type == LLAMA_FLASH_ATTN_TYPE_AUTO; + cparams.fused_gdn_ar = true; + cparams.fused_gdn_ch = true; + cparams.auto_fgdn = true; + // with causal attention, the batch size is limited by the context size cparams.n_batch = cparams.causal_attn ? std::min(cparams.n_ctx, params.n_batch) : params.n_batch; @@ -337,6 +342,14 @@ llama_context::llama_context( if (cparams.pipeline_parallel) { LLAMA_LOG_INFO("%s: pipeline parallelism enabled\n", __func__); + + if (!graph_reuse_disable) { + // TODO: figure out a way to make graph reuse work with pipeline parallelism + // ref: https://github.com/ggml-org/llama.cpp/pull/20463 + LLAMA_LOG_WARN("%s: graph reuse is currently not compatible with pipeline parallelism - disabling\n", __func__); + + graph_reuse_disable = true; + } } sched_reserve(); @@ -422,7 +435,7 @@ void llama_context::sched_reserve() { if (cparams.auto_fa) { auto * gf = graph_reserve(1, n_seqs, n_outputs, mctx.get(), true); if (!gf) { - throw std::runtime_error("failed to split graph for Flash Attention check"); + throw std::runtime_error("failed to reserve graph for Flash Attention check"); } const size_t prefix_len = strlen(LLAMA_TENSOR_NAME_FATTN) + 1; @@ -432,8 +445,7 @@ void llama_context::sched_reserve() { if (n->op != GGML_OP_FLASH_ATTN_EXT) { continue; } - ggml_backend_dev_t device_fa = ggml_backend_get_device( - ggml_backend_sched_get_tensor_backend(sched.get(), n)); + ggml_backend_dev_t device_fa = ggml_backend_get_device(ggml_backend_sched_get_tensor_backend(sched.get(), n)); // TODO: instead of the tensor names, use a map to keep track of which (FA) tensors belong to which layer GGML_ASSERT(strncmp(n->name, LLAMA_TENSOR_NAME_FATTN "-", prefix_len) == 0); @@ -448,6 +460,7 @@ void llama_context::sched_reserve() { break; } } + if (fa_device_mismatch) { cparams.flash_attn = false; LLAMA_LOG_WARN("%s: Flash Attention was auto, set to disabled\n", __func__); @@ -459,6 +472,88 @@ void llama_context::sched_reserve() { cparams.auto_fa = false; } + if (cparams.auto_fgdn) { + LLAMA_LOG_INFO("%s: resolving fused Gated Delta Net support:\n", __func__); + + if (cparams.fused_gdn_ar) { + auto * gf = graph_reserve(1, n_seqs, n_outputs, mctx.get(), true); + if (!gf) { + throw std::runtime_error("failed to reserve graph for fused Gated Delta Net check (autoregressive)"); + } + + const size_t prefix_len = strlen(LLAMA_TENSOR_NAME_FGDN_AR) + 1; + bool gdn_device_mismatch = false; + for (int i = 0; i < ggml_graph_n_nodes(gf); i++) { + ggml_tensor * n = ggml_graph_node(gf, i); + if (n->op != GGML_OP_GATED_DELTA_NET) { + continue; + } + ggml_backend_dev_t device_gdn = ggml_backend_get_device(ggml_backend_sched_get_tensor_backend(sched.get(), n)); + + GGML_ASSERT(strncmp(n->name, LLAMA_TENSOR_NAME_FGDN_AR "-", prefix_len) == 0); + const int il = std::stoi(n->name + prefix_len); + ggml_backend_dev_t device_kv = model.dev_layer(il); + if (device_gdn != device_kv) { + LLAMA_LOG_WARN("%s: layer %d is assigned to device %s but the fused Gated Delta Net tensor " + "is assigned to device %s (usually due to missing support)\n", + __func__, il, ggml_backend_dev_name(device_kv), ggml_backend_dev_name(device_gdn)); + gdn_device_mismatch = true; + break; + } + } + + if (gdn_device_mismatch) { + cparams.fused_gdn_ar = false; + LLAMA_LOG_WARN("%s: fused Gated Delta Net (autoregressive) not supported, set to disabled\n", __func__); + } else { + LLAMA_LOG_INFO("%s: fused Gated Delta Net (autoregressive) enabled\n", __func__); + } + } + + if (cparams.fused_gdn_ch) { + // more than one token in the batch per sequence in order to take the chunked path + // note: n_outputs must match n_tokens for embedding models with mean/rank pooling, + // because build_pooling creates inp_mean with shape [n_tokens, n_seqs] and multiplies + // it with t_embd which is reduced to [n_outputs, ...] via out_ids. if n_outputs != n_tokens, + // the ggml_mul_mat assertion fails. this matches the pp reservation below (line ~553). + const uint32_t n_tokens_ch = 16*n_seqs; + auto * gf = graph_reserve(n_tokens_ch, n_seqs, n_tokens_ch, mctx.get(), true); + if (!gf) { + throw std::runtime_error("failed to reserve graph for fused Gated Delta Net check (chunked)"); + } + + const size_t prefix_len = strlen(LLAMA_TENSOR_NAME_FGDN_CH) + 1; + bool gdn_device_mismatch = false; + for (int i = 0; i < ggml_graph_n_nodes(gf); i++) { + ggml_tensor * n = ggml_graph_node(gf, i); + if (n->op != GGML_OP_GATED_DELTA_NET) { + continue; + } + ggml_backend_dev_t device_gdn = ggml_backend_get_device(ggml_backend_sched_get_tensor_backend(sched.get(), n)); + + GGML_ASSERT(strncmp(n->name, LLAMA_TENSOR_NAME_FGDN_CH "-", prefix_len) == 0); + const int il = std::stoi(n->name + prefix_len); + ggml_backend_dev_t device_kv = model.dev_layer(il); + if (device_gdn != device_kv) { + LLAMA_LOG_WARN("%s: layer %d is assigned to device %s but the fused Gated Delta Net tensor " + "is assigned to device %s (usually due to missing support)\n", + __func__, il, ggml_backend_dev_name(device_kv), ggml_backend_dev_name(device_gdn)); + gdn_device_mismatch = true; + break; + } + } + + if (gdn_device_mismatch) { + cparams.fused_gdn_ch = false; + LLAMA_LOG_WARN("%s: fused Gated Delta Net (chunked) not supported, set to disabled\n", __func__); + } else { + LLAMA_LOG_INFO("%s: fused Gated Delta Net (chunked) enabled\n", __func__); + } + } + + cparams.auto_fgdn = false; + } + // reserve worst-case graph int n_splits_pp = -1; int n_nodes_pp = -1; @@ -1070,9 +1165,11 @@ bool llama_context::set_adapter_cvec( int32_t il_end) { LLAMA_LOG_DEBUG("%s: il_start = %d, il_end = %d\n", __func__, il_start, il_end); - // TODO: should we reserve? + bool res = cvec->apply(model, data, len, n_embd, il_start, il_end); - return cvec->apply(model, data, len, n_embd, il_start, il_end); + sched_need_reserve = true; + + return res; } llm_graph_result * llama_context::process_ubatch(const llama_ubatch & ubatch, llm_graph_type gtype, llama_memory_context_i * mctx, ggml_status & ret) { @@ -1122,6 +1219,7 @@ llm_graph_result * llama_context::process_ubatch(const llama_ubatch & ubatch, ll { //const auto t_start_us = ggml_time_us(); + // FIXME this call causes a crash if any model inputs were not used in the graph and were therefore not allocated res->set_inputs(&ubatch); //LLAMA_LOG_INFO("graph set inputs time: %.3f ms\n", (ggml_time_us() - t_start_us)/1000.0); @@ -1249,8 +1347,11 @@ int llama_context::encode(const llama_batch & batch_inp) { const llama_seq_id seq_id = ubatch.seq_id_unq[s]; const int32_t seq_idx = ubatch.seq_idx[seq_id]; - embd_seq_out[seq_id].resize(n_embd); - ggml_backend_tensor_get_async(backend_embd, t_embd, embd_seq_out[seq_id].data(), (n_embd*seq_idx)*sizeof(float), n_embd*sizeof(float)); + // use n_embd_out (not n_embd_inp) - the pooled embedding has the model's + // output dimension, which differs from input dimension for deepstack models (e.g. qwen3vl) + const uint32_t n_embd_out = hparams.n_embd_out(); + embd_seq_out[seq_id].resize(n_embd_out); + ggml_backend_tensor_get_async(backend_embd, t_embd, embd_seq_out[seq_id].data(), (n_embd_out*seq_idx)*sizeof(float), n_embd_out*sizeof(float)); } } break; case LLAMA_POOLING_TYPE_RANK: @@ -1671,12 +1772,16 @@ int llama_context::decode(const llama_batch & batch_inp) { // extract sequence embeddings (cleared before processing each batch) auto & embd_seq_out = embd_seq; + // use n_embd_out (not n_embd_inp) - the pooled embedding has the model's + // output dimension, which differs from input dimension for deepstack models (e.g. qwen3vl) + const uint32_t n_embd_out = hparams.n_embd_out(); + for (uint32_t s = 0; s < ubatch.n_seqs_unq; ++s) { const llama_seq_id seq_id = ubatch.seq_id_unq[s]; const int32_t seq_idx = ubatch.seq_idx[seq_id]; - embd_seq_out[seq_id].resize(n_embd); - ggml_backend_tensor_get_async(backend_embd, t_embd, embd_seq_out[seq_id].data(), (n_embd*seq_idx)*sizeof(float), n_embd*sizeof(float)); + embd_seq_out[seq_id].resize(n_embd_out); + ggml_backend_tensor_get_async(backend_embd, t_embd, embd_seq_out[seq_id].data(), (n_embd_out*seq_idx)*sizeof(float), n_embd_out*sizeof(float)); } } break; case LLAMA_POOLING_TYPE_RANK: @@ -1848,6 +1953,7 @@ uint32_t llama_context::output_reserve(int32_t n_outputs) { LLAMA_LOG_ERROR("%s: failed to allocate output buffer of size %.2f MiB\n", __func__, new_size / (1024.0 * 1024.0)); return 0; } + ggml_backend_buffer_clear(buf_output.get(), 0); } float * output_base = (float *) ggml_backend_buffer_get_base(buf_output.get()); @@ -2839,19 +2945,23 @@ llama_context * llama_init_from_model( if (params.flash_attn_type == LLAMA_FLASH_ATTN_TYPE_AUTO && ggml_is_quantized(params.type_k)) { const uint32_t blck_size = ggml_blck_size(params.type_k); - if (model->hparams.n_embd_head_k % blck_size != 0) { - LLAMA_LOG_ERROR("%s: K cache type %s with block size %u does not divide n_embd_head_k=%u\n", - __func__, ggml_type_name(params.type_k), blck_size, model->hparams.n_embd_head_k); - return nullptr; + for (uint32_t il = 0; il < model->hparams.n_layer; ++il) { + if (model->hparams.n_embd_head_k(il) % blck_size != 0) { + LLAMA_LOG_ERROR("%s: K cache type %s with block size %u does not divide n_embd_head_k=%u\n", + __func__, ggml_type_name(params.type_k), blck_size, model->hparams.n_embd_head_k(il)); + return nullptr; + } } } if (params.flash_attn_type == LLAMA_FLASH_ATTN_TYPE_AUTO && ggml_is_quantized(params.type_v)) { const uint32_t blck_size = ggml_blck_size(params.type_v); - if (model->hparams.n_embd_head_v % blck_size != 0) { - LLAMA_LOG_ERROR("%s: V cache type %s with block size %u does not divide n_embd_head_k=%u\n", - __func__, ggml_type_name(params.type_v), blck_size, model->hparams.n_embd_head_v); - return nullptr; + for (uint32_t il = 0; il < model->hparams.n_layer; ++il) { + if (model->hparams.n_embd_head_v(il) % blck_size != 0) { + LLAMA_LOG_ERROR("%s: V cache type %s with block size %u does not divide n_embd_head_v=%u\n", + __func__, ggml_type_name(params.type_v), blck_size, model->hparams.n_embd_head_v(il)); + return nullptr; + } } } @@ -3043,6 +3153,19 @@ uint32_t llama_get_sampled_probs_count_ith(llama_context * ctx, int32_t i) { return static_cast(ctx->get_sampled_probs_count(i)); } +struct ggml_cgraph * llama_graph_reserve( + struct llama_context * ctx, + uint32_t n_tokens, + uint32_t n_seqs, + uint32_t n_outputs) { + auto * memory = ctx->get_memory(); + llama_memory_context_ptr mctx; + if (memory) { + mctx = memory->init_full(); + } + return ctx->graph_reserve(n_tokens, n_seqs, n_outputs, mctx.get()); +} + // llama adapter API int32_t llama_set_adapters_lora( diff --git a/src/llama-cparams.h b/src/llama-cparams.h index 2da3bbd6f9..9d35947413 100644 --- a/src/llama-cparams.h +++ b/src/llama-cparams.h @@ -31,6 +31,9 @@ struct llama_cparams { bool offload_kqv; bool flash_attn; bool auto_fa; + bool fused_gdn_ar; // use fused gated delta net (autoregressive) + bool fused_gdn_ch; // use fused gated delta net (chunked) + bool auto_fgdn; bool no_perf; bool warmup; bool op_offload; diff --git a/src/llama-ext.h b/src/llama-ext.h new file mode 100644 index 0000000000..13ced783b4 --- /dev/null +++ b/src/llama-ext.h @@ -0,0 +1,12 @@ +#pragma once + +#include "llama-context.h" +#include "ggml.h" +#include "stdint.h" + +// Reserve a new compute graph. It is valid until the next call to llama_graph_reserve. +LLAMA_API struct ggml_cgraph * llama_graph_reserve( + struct llama_context * ctx, + uint32_t n_tokens, + uint32_t n_seqs, + uint32_t n_outputs); diff --git a/src/llama-grammar.cpp b/src/llama-grammar.cpp index 2d55070cec..badcbfd0fb 100644 --- a/src/llama-grammar.cpp +++ b/src/llama-grammar.cpp @@ -7,6 +7,7 @@ #include #include #include +#include #include #define MAX_REPETITION_THRESHOLD 2000 @@ -454,6 +455,7 @@ const char * llama_grammar_parser::parse_sequence( bool is_nested) { size_t last_sym_start = rule.size(); const char * pos = src; + uint64_t n_prev_rules = 1; // use UINT64_MAX as the empty value because we aligned to the proper uint64_t type so -1 can't be used // (though it's technically the same as -1 now) @@ -481,6 +483,18 @@ const char * llama_grammar_parser::parse_sequence( // S' ::= S | llama_grammar_rule prev_rule(rule.begin() + last_sym_start, rule.end()); + // Calculate the total number of rules that will be generated by this repetition + uint64_t total_rules = 1; // Start with 1 for the original rule + if (!no_max && max_times > 0) { + total_rules = max_times; + } else if (min_times > 0) { + total_rules = min_times; + } + + if (n_prev_rules * total_rules >= MAX_REPETITION_THRESHOLD) { + throw std::runtime_error("number of rules that are going to be repeated multiplied by the new repetition exceeds sane defaults, please reduce the number of repetitions or rule complexity"); + } + if (min_times == 0) { rule.resize(last_sym_start); } else { @@ -508,12 +522,15 @@ const char * llama_grammar_parser::parse_sequence( if (n_opt > 0) { rule.push_back({LLAMA_GRETYPE_RULE_REF, last_rec_rule_id}); } + n_prev_rules *= total_rules; + GGML_ASSERT(n_prev_rules >= 1); }; while (*pos) { if (*pos == '"') { // literal string pos++; last_sym_start = rule.size(); + n_prev_rules = 1; while (*pos != '"') { if (!*pos) { throw std::runtime_error("unexpected end of input"); @@ -531,6 +548,7 @@ const char * llama_grammar_parser::parse_sequence( start_type = LLAMA_GRETYPE_CHAR_NOT; } last_sym_start = rule.size(); + n_prev_rules = 1; while (*pos != ']') { if (!*pos) { throw std::runtime_error("unexpected end of input"); @@ -561,6 +579,7 @@ const char * llama_grammar_parser::parse_sequence( auto token_pair = parse_token(vocab, pos); const char * token_end = token_pair.second; last_sym_start = rule.size(); + n_prev_rules = 1; rule.push_back({type, token_pair.first}); pos = parse_space(token_end, is_nested); } else if (is_word_char(*pos)) { // rule reference @@ -568,12 +587,15 @@ const char * llama_grammar_parser::parse_sequence( uint32_t ref_rule_id = get_symbol_id(pos, name_end - pos); pos = parse_space(name_end, is_nested); last_sym_start = rule.size(); + n_prev_rules = 1; rule.push_back({LLAMA_GRETYPE_RULE_REF, ref_rule_id}); } else if (*pos == '(') { // grouping // parse nested alternates into synthesized rule pos = parse_space(pos + 1, true); + uint32_t n_rules_before = symbol_ids.size(); uint32_t sub_rule_id = generate_symbol_id(rule_name); pos = parse_alternates(pos, rule_name, sub_rule_id, true); + n_prev_rules = std::max(1u, (uint32_t)symbol_ids.size() - n_rules_before); last_sym_start = rule.size(); // output reference to synthesized rule rule.push_back({LLAMA_GRETYPE_RULE_REF, sub_rule_id}); @@ -583,6 +605,7 @@ const char * llama_grammar_parser::parse_sequence( pos = parse_space(pos + 1, is_nested); } else if (*pos == '.') { // any char last_sym_start = rule.size(); + n_prev_rules = 1; rule.push_back({LLAMA_GRETYPE_CHAR_ANY, 0}); pos = parse_space(pos + 1, is_nested); } else if (*pos == '*') { @@ -601,7 +624,7 @@ const char * llama_grammar_parser::parse_sequence( throw std::runtime_error(std::string("expecting an int at ") + pos); } const char * int_end = parse_int(pos); - uint64_t min_times = std::stoul(std::string(pos, int_end - pos)); + uint64_t min_times = std::stoull(std::string(pos, int_end - pos)); pos = parse_space(int_end, is_nested); uint64_t max_times = UINT64_MAX; // default: no max limit @@ -614,7 +637,7 @@ const char * llama_grammar_parser::parse_sequence( if (is_digit_char(*pos)) { const char * int_end = parse_int(pos); - max_times = std::stoul(std::string(pos, int_end - pos)); + max_times = std::stoull(std::string(pos, int_end - pos)); pos = parse_space(int_end, is_nested); } @@ -830,32 +853,54 @@ static bool llama_grammar_match_token( static void llama_grammar_advance_stack( const llama_grammar_rules & rules, const llama_grammar_stack & stack, - llama_grammar_stacks & new_stacks) { - if (stack.empty()) { - if (std::find(new_stacks.begin(), new_stacks.end(), stack) == new_stacks.end()) { - new_stacks.emplace_back(stack); + llama_grammar_stacks & new_stacks) { + std::vector todo; + todo.push_back(stack); + + auto stack_cmp = [](const llama_grammar_stack & a, const llama_grammar_stack & b) { + return std::lexicographical_compare(a.begin(), a.end(), b.begin(), b.end(), + [](const llama_grammar_element * pa, const llama_grammar_element * pb) { + return pa < pb; // Compare pointer addresses + } + ); + }; + + std::set seen(stack_cmp); + + while (!todo.empty()) { + llama_grammar_stack curr_stack = std::move(todo.back()); + todo.pop_back(); + + if (seen.find( curr_stack) != seen.end()) { + continue; } - return; - } + seen.insert(curr_stack); - const llama_grammar_element * pos = stack.back(); + if (curr_stack.empty()) { + if (std::find(new_stacks.begin(), new_stacks.end(), curr_stack) == new_stacks.end()) { + new_stacks.emplace_back(std::move(curr_stack)); + } + continue; + } - switch (pos->type) { + const llama_grammar_element * pos = curr_stack.back(); + + switch (pos->type) { case LLAMA_GRETYPE_RULE_REF: { const size_t rule_id = static_cast(pos->value); const llama_grammar_element * subpos = rules[rule_id].data(); do { // init new stack without the top (pos) - llama_grammar_stack new_stack(stack.begin(), stack.end() - 1); + llama_grammar_stack next_stack(curr_stack.begin(), curr_stack.end() - 1); if (!llama_grammar_is_end_of_sequence(pos + 1)) { // if this rule ref is followed by another element, add that to stack - new_stack.push_back(pos + 1); + next_stack.push_back(pos + 1); } if (!llama_grammar_is_end_of_sequence(subpos)) { // if alternate is nonempty, add to stack - new_stack.push_back(subpos); + next_stack.push_back(subpos); } - llama_grammar_advance_stack(rules, new_stack, new_stacks); + todo.push_back(std::move(next_stack)); while (!llama_grammar_is_end_of_sequence(subpos)) { // scan to end of alternate def subpos++; @@ -874,9 +919,9 @@ static void llama_grammar_advance_stack( case LLAMA_GRETYPE_CHAR_ANY: case LLAMA_GRETYPE_TOKEN: case LLAMA_GRETYPE_TOKEN_NOT: - if (std::find(new_stacks.begin(), new_stacks.end(), stack) == new_stacks.end()) { + if (std::find(new_stacks.begin(), new_stacks.end(), curr_stack) == new_stacks.end()) { // only add the stack if it's not a duplicate of one we already have - new_stacks.emplace_back(stack); + new_stacks.emplace_back(std::move(curr_stack)); } break; default: @@ -884,6 +929,7 @@ static void llama_grammar_advance_stack( // (LLAMA_GRETYPE_CHAR_ALT, LLAMA_GRETYPE_CHAR_RNG_UPPER); stack should never be left on // those GGML_ABORT("fatal error"); + } } } @@ -1160,13 +1206,13 @@ struct llama_grammar * llama_grammar_init_impl( // if there is a grammar, parse it // rules will be empty (default) if there are parse errors if (!parser.parse(grammar_str) || parser.rules.empty()) { - fprintf(stderr, "%s: failed to parse grammar\n", __func__); + LLAMA_LOG_ERROR("failed to parse grammar\n"); return nullptr; } - // Ensure that there is a "root" node. - if (parser.symbol_ids.find("root") == parser.symbol_ids.end()) { - fprintf(stderr, "%s: grammar does not contain a 'root' symbol\n", __func__); + // Ensure that the grammar contains the start symbol + if (parser.symbol_ids.find(grammar_root) == parser.symbol_ids.end()) { + LLAMA_LOG_ERROR("grammar does not contain a '%s' symbol\n", grammar_root); return nullptr; } @@ -1195,7 +1241,7 @@ struct llama_grammar * llama_grammar_init_impl( continue; } if (llama_grammar_detect_left_recursion(vec_rules, i, &rules_visited, &rules_in_progress, &rules_may_be_empty)) { - LLAMA_LOG_ERROR("unsupported grammar, left recursion detected for nonterminal at index %zu", i); + LLAMA_LOG_ERROR("unsupported grammar, left recursion detected for nonterminal at index %zu\n", i); return nullptr; } } diff --git a/src/llama-graph.cpp b/src/llama-graph.cpp index b8126ce508..9a215bb77a 100644 --- a/src/llama-graph.cpp +++ b/src/llama-graph.cpp @@ -250,7 +250,7 @@ void llm_graph_input_cls::set_input(const llama_ubatch * ubatch) { const bool last = ( cparams.pooling_type == LLAMA_POOLING_TYPE_LAST || - (cparams.pooling_type == LLAMA_POOLING_TYPE_RANK && arch == LLM_ARCH_QWEN3) // qwen3 reranking & embedding models use last token + (cparams.pooling_type == LLAMA_POOLING_TYPE_RANK && (arch == LLM_ARCH_QWEN3 || arch == LLM_ARCH_QWEN3VL)) // qwen3 reranking & embedding models use last token ); for (int i = 0; i < n_tokens; ++i) { @@ -509,6 +509,7 @@ void llm_graph_input_attn_cross::set_input(const llama_ubatch * ubatch) { float * data = (float *) cross_kq_mask->data; for (int i = 0; i < n_tokens; ++i) { + GGML_ASSERT(!cross->seq_ids_enc.empty() && "llama_encode must be called first"); for (int j = 0; j < n_enc; ++j) { float f = -INFINITY; @@ -848,13 +849,13 @@ llm_graph_context::llm_graph_context(const llm_graph_params & params) : ubatch (params.ubatch), n_embd (hparams.n_embd), n_layer (hparams.n_layer), - n_rot (hparams.n_rot), + n_rot (hparams.n_rot()), n_ctx (cparams.n_ctx), n_head (hparams.n_head()), n_head_kv (hparams.n_head_kv()), - n_embd_head_k (hparams.n_embd_head_k), + n_embd_head_k (hparams.n_embd_head_k()), n_embd_k_gqa (hparams.n_embd_k_gqa()), - n_embd_head_v (hparams.n_embd_head_v), + n_embd_head_v (hparams.n_embd_head_v()), n_embd_v_gqa (hparams.n_embd_v_gqa()), n_expert (hparams.n_expert), n_expert_used (cparams.warmup ? hparams.n_expert : hparams.n_expert_used), @@ -899,7 +900,8 @@ ggml_tensor * llm_graph_context::build_cvec( ggml_tensor * llm_graph_context::build_lora_mm( ggml_tensor * w, - ggml_tensor * cur) const { + ggml_tensor * cur, + ggml_tensor * w_s) const { ggml_tensor * res = ggml_mul_mat(ctx0, w, cur); for (const auto & lora : *loras) { @@ -920,6 +922,10 @@ ggml_tensor * llm_graph_context::build_lora_mm( res = ggml_add(ctx0, res, ab_cur); } + if (w_s) { + res = ggml_mul(ctx0, res, w_s); + } + return res; } @@ -1161,12 +1167,14 @@ ggml_tensor * llm_graph_context::build_moe_ffn( int64_t n_expert_used, llm_ffn_op_type type_op, bool norm_w, - bool scale_w, float w_scale, llama_expert_gating_func_type gating_op, int il, ggml_tensor * probs_in, - ggml_tensor * gate_up_exps) const { + ggml_tensor * gate_up_exps, + ggml_tensor * up_exps_s, + ggml_tensor * gate_exps_s, + ggml_tensor * down_exps_s) const { return build_moe_ffn( cur, gate_inp, /* gate_inp_b */ nullptr, @@ -1178,12 +1186,15 @@ ggml_tensor * llm_graph_context::build_moe_ffn( n_expert_used, type_op, norm_w, - scale_w, w_scale, gating_op, il, probs_in, - gate_up_exps + gate_up_exps, + /* gate_up_exps_b */ nullptr, + up_exps_s, + gate_exps_s, + down_exps_s ); } @@ -1202,13 +1213,15 @@ ggml_tensor * llm_graph_context::build_moe_ffn( int64_t n_expert_used, llm_ffn_op_type type_op, bool norm_w, - bool scale_w, float w_scale, llama_expert_gating_func_type gating_op, int il, ggml_tensor * probs_in, ggml_tensor * gate_up_exps, - ggml_tensor * gate_up_exps_b) const { + ggml_tensor * gate_up_exps_b, + ggml_tensor * up_exps_s, + ggml_tensor * gate_exps_s, + ggml_tensor * down_exps_s) const { const int64_t n_embd = cur->ne[0]; const int64_t n_tokens = cur->ne[1]; const bool weight_before_ffn = arch == LLM_ARCH_LLAMA4; // for llama4, we apply the sigmoid-ed weights before the FFN @@ -1330,7 +1343,7 @@ ggml_tensor * llm_graph_context::build_moe_ffn( weights = ggml_reshape_3d(ctx0, weights, 1, n_expert_used, n_tokens); } - if (scale_w) { + if (w_scale != 0.0f && w_scale != 1.0f) { weights = ggml_scale(ctx0, weights, w_scale); cb(weights, "ffn_moe_weights_scaled", il); } @@ -1360,6 +1373,15 @@ ggml_tensor * llm_graph_context::build_moe_ffn( cb(gate_up, "ffn_moe_gate_up_biased", il); } + // apply per-expert scale2 to merged gate_up (use up_exps_s since gate and up are fused) + if (up_exps_s) { + ggml_tensor * s = ggml_reshape_3d(ctx0, up_exps_s, 1, n_expert, 1); + s = ggml_repeat_4d(ctx0, s, 1, n_expert, n_tokens, 1); + s = ggml_get_rows(ctx0, s, selected_experts); // [1, n_expert_used, n_tokens] + gate_up = ggml_mul(ctx0, gate_up, s); + cb(gate_up, "ffn_moe_gate_up_scaled", il); + } + const int64_t n_ff = gate_up->ne[0] / 2; cur = ggml_view_3d(ctx0, gate_up, n_ff, gate_up->ne[1], gate_up->ne[2], gate_up->nb[1], gate_up->nb[2], 0); cb(cur, "ffn_moe_gate", il); @@ -1375,6 +1397,15 @@ ggml_tensor * llm_graph_context::build_moe_ffn( cb(up, "ffn_moe_up_biased", il); } + // apply per-expert scale2 to up + if (up_exps_s) { + ggml_tensor * s = ggml_reshape_3d(ctx0, up_exps_s, 1, n_expert, 1); + s = ggml_repeat_4d(ctx0, s, 1, n_expert, n_tokens, 1); + s = ggml_get_rows(ctx0, s, selected_experts); // [1, n_expert_used, n_tokens] + up = ggml_mul(ctx0, up, s); + cb(up, "ffn_moe_up_scaled", il); + } + if (gate_exps) { cur = build_lora_mm_id(gate_exps, cur, selected_experts); // [n_ff, n_expert_used, n_tokens] cb(cur, "ffn_moe_gate", il); @@ -1386,6 +1417,15 @@ ggml_tensor * llm_graph_context::build_moe_ffn( cur = ggml_add_id(ctx0, cur, gate_exps_b, selected_experts); cb(cur, "ffn_moe_gate_biased", il); } + + // apply per-expert scale2 to gate + if (gate_exps_s) { + ggml_tensor * s = ggml_reshape_3d(ctx0, gate_exps_s, 1, n_expert, 1); + s = ggml_repeat_4d(ctx0, s, 1, n_expert, n_tokens, 1); + s = ggml_get_rows(ctx0, s, selected_experts); // [1, n_expert_used, n_tokens] + cur = ggml_mul(ctx0, cur, s); + cb(cur, "ffn_moe_gate_scaled", il); + } } const bool has_gate = gate_exps || gate_up_exps; @@ -1465,6 +1505,15 @@ ggml_tensor * llm_graph_context::build_moe_ffn( cb(experts, "ffn_moe_down_biased", il); } + // apply per-expert scale2 to down + if (down_exps_s) { + ggml_tensor * s = ggml_reshape_3d(ctx0, down_exps_s, 1, n_expert, 1); + s = ggml_repeat_4d(ctx0, s, 1, n_expert, n_tokens, 1); + s = ggml_get_rows(ctx0, s, selected_experts); // [1, n_expert_used, n_tokens] + experts = ggml_mul(ctx0, experts, s); + cb(experts, "ffn_moe_down_scaled", il); + } + if (!weight_before_ffn) { experts = ggml_mul(ctx0, experts, weights); cb(cur, "ffn_moe_weighted", il); @@ -1607,6 +1656,7 @@ ggml_tensor * llm_graph_context::build_inp_attn_scale() const { // this need to be 1x1xN for broadcasting cur = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, 1, 1, n_tokens); ggml_set_input(cur); + ggml_set_name(cur, "attn_scale"); res->add_input(std::move(inp)); @@ -2553,7 +2603,7 @@ void llm_graph_context::build_pooling( } // softmax for qwen3 reranker - if (arch == LLM_ARCH_QWEN3) { + if (arch == LLM_ARCH_QWEN3 || arch == LLM_ARCH_QWEN3VL) { cur = ggml_soft_max(ctx0, cur); } } break; diff --git a/src/llama-graph.h b/src/llama-graph.h index e8f006977d..4855685ef7 100644 --- a/src/llama-graph.h +++ b/src/llama-graph.h @@ -764,10 +764,11 @@ struct llm_graph_context { ggml_tensor * cur, int il) const; - // do mat_mul, while optionally apply lora + // do mat_mul, while optionally apply lora and per-tensor scale ggml_tensor * build_lora_mm( ggml_tensor * w, - ggml_tensor * cur) const; + ggml_tensor * cur, + ggml_tensor * w_s = nullptr) const; // do mat_mul_id, while optionally apply lora ggml_tensor * build_lora_mm_id( @@ -810,12 +811,14 @@ struct llm_graph_context { int64_t n_expert_used, llm_ffn_op_type type_op, bool norm_w, - bool scale_w, float w_scale, llama_expert_gating_func_type gating_op, int il, ggml_tensor * probs_in = nullptr, - ggml_tensor * gate_up_exps = nullptr) const; + ggml_tensor * gate_up_exps = nullptr, + ggml_tensor * up_exps_s = nullptr, + ggml_tensor * gate_exps_s = nullptr, + ggml_tensor * down_exps_s = nullptr) const; ggml_tensor * build_moe_ffn( ggml_tensor * cur, @@ -832,13 +835,15 @@ struct llm_graph_context { int64_t n_expert_used, llm_ffn_op_type type_op, bool norm_w, - bool scale_w, float w_scale, llama_expert_gating_func_type gating_op, int il, ggml_tensor * probs_in = nullptr, ggml_tensor * gate_up_exps = nullptr, - ggml_tensor * gate_up_exps_b = nullptr) const; + ggml_tensor * gate_up_exps_b = nullptr, + ggml_tensor * up_exps_s = nullptr, + ggml_tensor * gate_exps_s = nullptr, + ggml_tensor * down_exps_s = nullptr) const; // // inputs diff --git a/src/llama-hparams.cpp b/src/llama-hparams.cpp index 756dda1a7a..002d15d415 100644 --- a/src/llama-hparams.cpp +++ b/src/llama-hparams.cpp @@ -62,6 +62,14 @@ uint32_t llama_hparams::n_gqa(uint32_t il) const { return n_head/n_head_kv; } +uint32_t llama_hparams::n_rot(uint32_t il) const { + if (il < n_layer) { + return is_swa(il) ? n_rot_swa : n_rot_full; + } + + GGML_ABORT("fatal error"); +} + uint32_t llama_hparams::n_embd_inp() const { uint32_t n_embd_inp = n_embd; @@ -76,16 +84,32 @@ uint32_t llama_hparams::n_embd_out() const { return n_embd_out_impl > 0 ? n_embd_out_impl : n_embd; } +uint32_t llama_hparams::n_embd_head_k(uint32_t il) const { + if (il < n_layer) { + return is_swa(il) ? n_embd_head_k_swa : n_embd_head_k_full; + } + + GGML_ABORT("fatal error"); +} + +uint32_t llama_hparams::n_embd_head_v(uint32_t il) const { + if (il < n_layer) { + return is_swa(il) ? n_embd_head_v_swa : n_embd_head_v_full; + } + + GGML_ABORT("fatal error"); +} + uint32_t llama_hparams::n_embd_k_gqa(uint32_t il) const { const uint32_t n_head_kv = this->n_head_kv(il); - return n_embd_head_k * n_head_kv; + return n_embd_head_k(il) * n_head_kv; } uint32_t llama_hparams::n_embd_v_gqa(uint32_t il) const { const uint32_t n_head_kv = this->n_head_kv(il); - return n_embd_head_v * n_head_kv; + return n_embd_head_v(il) * n_head_kv; } bool llama_hparams::is_n_embd_k_gqa_variable() const { @@ -197,11 +221,11 @@ bool llama_hparams::is_mla() const { } uint32_t llama_hparams::n_embd_head_k_mla() const { - return is_mla() ? n_embd_head_k_mla_impl : n_embd_head_k; + return is_mla() ? n_embd_head_k_mla_impl : n_embd_head_k(); } uint32_t llama_hparams::n_embd_head_v_mla() const { - return is_mla() ? n_embd_head_v_mla_impl : n_embd_head_v; + return is_mla() ? n_embd_head_v_mla_impl : n_embd_head_v(); } bool llama_hparams::has_kv(uint32_t il) const { diff --git a/src/llama-hparams.h b/src/llama-hparams.h index c4b2a99da5..78c0bc27d4 100644 --- a/src/llama-hparams.h +++ b/src/llama-hparams.h @@ -44,13 +44,20 @@ struct llama_hparams { uint32_t n_embd; uint32_t n_layer; int32_t n_layer_kv_from_start = -1; // if non-negative, the first n_layer_kv_from_start layers have KV cache - uint32_t n_rot; - uint32_t n_embd_head_k; // dimension of keys (d_k). d_q is assumed to be the same, but there are n_head q heads, and only n_head_kv k-v heads - uint32_t n_embd_head_v; // dimension of values (d_v) aka n_embd_head uint32_t n_expert = 0; uint32_t n_expert_used = 0; uint32_t n_rel_attn_bkts = 0; + // different head size for full_attention and SWA layers + uint32_t n_embd_head_k_full; // dimension of keys (d_k). d_q is assumed to be the same, but there are n_head q heads, and only n_head_kv k-v heads + uint32_t n_embd_head_v_full; // dimension of values (d_v) aka n_embd_head + uint32_t n_embd_head_k_swa; + uint32_t n_embd_head_v_swa; + + // different RoPE dimensions for full_attention and SWA layers + uint32_t n_rot_full; + uint32_t n_rot_swa; + // note: deepseek2 using MLA converts into MQA with larger heads, then decompresses to MHA uint32_t n_embd_head_k_mla_impl = 0; uint32_t n_embd_head_v_mla_impl = 0; @@ -82,6 +89,7 @@ struct llama_hparams { bool expert_weights_norm = false; uint32_t expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_NONE; uint32_t moe_every_n_layers = 0; + uint32_t moe_latent_size = 0; uint32_t nextn_predict_layers = 0; float f_norm_eps; @@ -247,12 +255,18 @@ struct llama_hparams { uint32_t n_gqa(uint32_t il = 0) const; + uint32_t n_rot(uint32_t il = 0) const; + // dimension of main + auxiliary input embeddings uint32_t n_embd_inp() const; // dimension of output embeddings uint32_t n_embd_out() const; + // dimension of key/value embeddings for each head (per layer) + uint32_t n_embd_head_k(uint32_t il = 0) const; + uint32_t n_embd_head_v(uint32_t il = 0) const; + // dimension of key embeddings across all k-v heads uint32_t n_embd_k_gqa(uint32_t il = 0) const; diff --git a/src/llama-impl.h b/src/llama-impl.h index dfd9fee9f4..e4f35c8e53 100644 --- a/src/llama-impl.h +++ b/src/llama-impl.h @@ -70,4 +70,6 @@ std::string llama_format_tensor_shape(const struct ggml_tensor * t); std::string gguf_kv_to_str(const struct gguf_context * ctx_gguf, int i); -#define LLAMA_TENSOR_NAME_FATTN "__fattn__" +#define LLAMA_TENSOR_NAME_FATTN "__fattn__" +#define LLAMA_TENSOR_NAME_FGDN_AR "__fgdn_ar__" +#define LLAMA_TENSOR_NAME_FGDN_CH "__fgdn_ch__" diff --git a/src/llama-kv-cache.cpp b/src/llama-kv-cache.cpp index d80e8a70bc..01166fac9c 100644 --- a/src/llama-kv-cache.cpp +++ b/src/llama-kv-cache.cpp @@ -1033,8 +1033,8 @@ ggml_tensor * llama_kv_cache::get_k(ggml_context * ctx, int32_t il, uint32_t n_k const uint32_t ns = sinfo.s1 - sinfo.s0 + 1; return ggml_view_4d(ctx, k, - hparams.n_embd_head_k, hparams.n_head_kv(il), n_kv, ns, - ggml_row_size(k->type, hparams.n_embd_head_k), + hparams.n_embd_head_k(il), hparams.n_head_kv(il), n_kv, ns, + ggml_row_size(k->type, hparams.n_embd_head_k(il)), ggml_row_size(k->type, n_embd_k_gqa), ggml_row_size(k->type, n_embd_k_gqa*kv_size), ggml_row_size(k->type, n_embd_k_gqa*kv_size)*sinfo.s0); @@ -1056,8 +1056,8 @@ ggml_tensor * llama_kv_cache::get_v(ggml_context * ctx, int32_t il, uint32_t n_k if (!v_trans) { // note: v->nb[1] <= v->nb[2] return ggml_view_4d(ctx, v, - hparams.n_embd_head_v, hparams.n_head_kv(il), n_kv, ns, - ggml_row_size(v->type, hparams.n_embd_head_v), // v->nb[1] + hparams.n_embd_head_v(il), hparams.n_head_kv(il), n_kv, ns, + ggml_row_size(v->type, hparams.n_embd_head_v(il)), // v->nb[1] ggml_row_size(v->type, n_embd_v_gqa), // v->nb[2] ggml_row_size(v->type, n_embd_v_gqa*kv_size), // v->nb[3] ggml_row_size(v->type, n_embd_v_gqa*kv_size)*sinfo.s0); @@ -1065,8 +1065,8 @@ ggml_tensor * llama_kv_cache::get_v(ggml_context * ctx, int32_t il, uint32_t n_k // note: v->nb[1] > v->nb[2] return ggml_view_4d(ctx, v, - n_kv, hparams.n_head_kv(il), hparams.n_embd_head_v, ns, - ggml_row_size(v->type, kv_size*hparams.n_embd_head_v), // v->nb[1] + n_kv, hparams.n_head_kv(il), hparams.n_embd_head_v(il), ns, + ggml_row_size(v->type, kv_size*hparams.n_embd_head_v(il)), // v->nb[1] ggml_row_size(v->type, kv_size), // v->nb[2] ggml_row_size(v->type, kv_size*n_embd_v_gqa), // v->nb[3] ggml_row_size(v->type, kv_size*n_embd_v_gqa)*sinfo.s0); @@ -1544,7 +1544,8 @@ ggml_tensor * llama_kv_cache::build_rope_shift( ggml_tensor * shift, ggml_tensor * factors, float freq_base, - float freq_scale) const { + float freq_scale, + uint32_t il) const { const auto & n_ctx_orig = cparams.n_ctx_orig_yarn; const auto & yarn_ext_factor = cparams.yarn_ext_factor; @@ -1552,7 +1553,7 @@ ggml_tensor * llama_kv_cache::build_rope_shift( const auto & yarn_beta_slow = cparams.yarn_beta_slow; const auto & yarn_attn_factor = cparams.yarn_attn_factor; - const auto & n_rot = hparams.n_rot; + const auto & n_rot = hparams.n_rot(il); const auto & rope_type = hparams.rope_type == LLAMA_ROPE_TYPE_MROPE || hparams.rope_type == LLAMA_ROPE_TYPE_IMROPE // @ngxson : this is a workaround // for M-RoPE, we want to rotate the whole vector when doing KV shift @@ -1606,13 +1607,6 @@ ggml_cgraph * llama_kv_cache::build_graph_shift(llm_graph_result * res, llama_co auto * ctx = res->get_ctx(); auto * gf = res->get_gf(); - const auto & n_embd_head_k = hparams.n_embd_head_k; - //const auto & n_embd_head_v = hparams.n_embd_head_v; - - const auto & n_rot = hparams.n_rot; - - const auto n_embd_nope = hparams.n_lora_kv > 0 ? n_embd_head_k - n_rot : 0; - auto inp = std::make_unique(this); inp->k_shift = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, (int64_t) get_size()*n_stream); @@ -1626,6 +1620,10 @@ ggml_cgraph * llama_kv_cache::build_graph_shift(llm_graph_result * res, llama_co const int64_t n_head_kv = hparams.n_head_kv(il); const int64_t n_embd_k_gqa = hparams.n_embd_k_gqa(il); + const auto n_rot = hparams.n_rot(il); + const auto n_embd_head_k = hparams.n_embd_head_k(il); + const auto n_embd_nope = hparams.n_lora_kv > 0 ? n_embd_head_k - n_rot : 0; + const float freq_base_l = model.get_rope_freq_base (cparams, il); const float freq_scale_l = model.get_rope_freq_scale(cparams, il); @@ -1638,7 +1636,7 @@ ggml_cgraph * llama_kv_cache::build_graph_shift(llm_graph_result * res, llama_co ggml_row_size(layer.k->type, n_embd_k_gqa), ggml_row_size(layer.k->type, n_embd_nope)); - ggml_tensor * cur = build_rope_shift(cparams, ctx, k, inp->k_shift, rope_factors, freq_base_l, freq_scale_l); + ggml_tensor * cur = build_rope_shift(cparams, ctx, k, inp->k_shift, rope_factors, freq_base_l, freq_scale_l, il); ggml_build_forward_expand(gf, cur); } @@ -1955,6 +1953,12 @@ bool llama_kv_cache::state_read_meta(llama_io_read_i & io, uint32_t strm, uint32 cells.pos_set(i, pos); + if (hparams.n_pos_per_embd() > 1) { + llama_kv_cell_ext ext; + io.read_to(&ext, sizeof(ext)); + cells.ext_set(i, ext); + } + for (uint32_t j = 0; j < n_seq_id; ++j) { llama_seq_id seq_id; io.read_to(&seq_id, sizeof(seq_id)); diff --git a/src/llama-kv-cache.h b/src/llama-kv-cache.h index e194bf3e26..33c78c5f21 100644 --- a/src/llama-kv-cache.h +++ b/src/llama-kv-cache.h @@ -264,7 +264,8 @@ private: ggml_tensor * shift, ggml_tensor * factors, float freq_base, - float freq_scale) const; + float freq_scale, + uint32_t il) const; ggml_cgraph * build_graph_shift( llm_graph_result * res, diff --git a/src/llama-model-loader.cpp b/src/llama-model-loader.cpp index 1501e392ca..413f34c226 100644 --- a/src/llama-model-loader.cpp +++ b/src/llama-model-loader.cpp @@ -1,12 +1,17 @@ #include "llama-model-loader.h" +#include "ggml-alloc.h" #include "ggml.h" +#include "gguf.h" +#include "llama-hparams.h" #include #include #include +#include #include #include +#include static const size_t kiB = 1024; static const size_t MiB = 1024*kiB; @@ -37,6 +42,7 @@ static std::string llama_model_ftype_name(llama_ftype ftype) { case LLAMA_FTYPE_MOSTLY_Q5_1: return "Q5_1"; case LLAMA_FTYPE_MOSTLY_Q8_0: return "Q8_0"; case LLAMA_FTYPE_MOSTLY_MXFP4_MOE: return "MXFP4 MoE"; + case LLAMA_FTYPE_MOSTLY_NVFP4: return "NVFP4"; case LLAMA_FTYPE_MOSTLY_Q2_K: return "Q2_K - Medium"; case LLAMA_FTYPE_MOSTLY_Q2_K_S: return "Q2_K - Small"; case LLAMA_FTYPE_MOSTLY_Q3_K_S: return "Q3_K - Small"; @@ -263,7 +269,7 @@ namespace GGUFMeta { template typename std::enable_if::value, bool>::type llama_model_loader::get_arr_n(const std::string & key, T & result, bool required) { - const int kid = gguf_find_key(meta.get(), key.c_str()); + const int kid = gguf_find_key(metadata, key.c_str()); if (kid < 0) { if (required) { @@ -273,7 +279,7 @@ namespace GGUFMeta { } struct GGUFMeta::ArrayInfo arr_info = - GGUFMeta::GKV::get_kv(meta.get(), kid); + GGUFMeta::GKV::get_kv(metadata, kid); result = arr_info.length; @@ -290,7 +296,7 @@ namespace GGUFMeta { template bool llama_model_loader::get_arr(const std::string & key, std::vector & result, bool required) { - const gguf_context * ctx = meta.get(); + const gguf_context * ctx = metadata; const int kid = gguf_find_key(ctx, key.c_str()); if (kid < 0 || gguf_get_kv_type(ctx, kid) != GGUF_TYPE_ARRAY) { @@ -331,7 +337,7 @@ namespace GGUFMeta { template bool llama_model_loader::get_arr(const std::string & key, std::array & result, bool required) { - const gguf_context * ctx = meta.get(); + const gguf_context * ctx = metadata; const int kid = gguf_find_key(ctx, key.c_str()); if (kid < 0 || gguf_get_kv_type(ctx, kid) != GGUF_TYPE_ARRAY) { @@ -393,7 +399,7 @@ namespace GGUFMeta { const struct llama_model_kv_override * override = it != kv_overrides.end() ? &it->second : nullptr; - const bool found = GGUFMeta::GKV::set(meta.get(), key, result, override); + const bool found = GGUFMeta::GKV::set(metadata, key, result, override); if (required && !found) { throw std::runtime_error(format("key not found in model: %s", key.c_str())); @@ -427,7 +433,7 @@ namespace GGUFMeta { // get array of n <= N_MAX elements, or a single element repeated n times template bool llama_model_loader::get_key_or_arr(const std::string & key, std::array & result, uint32_t n, bool required) { - const int kid = gguf_find_key(meta.get(), key.c_str()); + const int kid = gguf_find_key(metadata, key.c_str()); if (kid < 0) { if (required) { @@ -440,9 +446,9 @@ namespace GGUFMeta { throw std::runtime_error(format("n > N_MAX: %u > %u for key %s", (uint32_t) n, (uint32_t) N_MAX, key.c_str())); } - if (gguf_get_kv_type(meta.get(), kid) == GGUF_TYPE_ARRAY) { + if (gguf_get_kv_type(metadata, kid) == GGUF_TYPE_ARRAY) { struct GGUFMeta::ArrayInfo arr_info = - GGUFMeta::GKV::get_kv(meta.get(), kid); + GGUFMeta::GKV::get_kv(metadata, kid); if (n != arr_info.length) { throw std::runtime_error(format("key %s has wrong array length; expected %u, got %u", key.c_str(), n, (uint32_t) arr_info.length)); @@ -473,7 +479,7 @@ namespace GGUFMeta { bool llama_model_loader::get_key_or_arr(enum llm_kv kid, uint32_t & result, bool required) { const std::string key = llm_kv(kid); - const int id = gguf_find_key(meta.get(), key.c_str()); + const int id = gguf_find_key(metadata, key.c_str()); if (id < 0) { if (required) { @@ -483,7 +489,7 @@ namespace GGUFMeta { } // throw and error if type is an array - if (gguf_get_kv_type(meta.get(), id) == GGUF_TYPE_ARRAY) { + if (gguf_get_kv_type(metadata, id) == GGUF_TYPE_ARRAY) { if (required) { throw std::runtime_error(format("expected scalar, found array for key: %s", key.c_str())); } @@ -500,6 +506,9 @@ namespace GGUFMeta { llama_model_loader::llama_model_loader( + struct gguf_context * meta, + llama_model_set_tensor_data_t set_tensor_data, + void * set_tensor_data_ud, const std::string & fname, std::vector & splits, bool use_mmap, @@ -507,7 +516,8 @@ llama_model_loader::llama_model_loader( bool check_tensors, bool no_alloc, const llama_model_kv_override * param_overrides_p, - const llama_model_tensor_buft_override * param_tensor_buft_overrides_p) { + const llama_model_tensor_buft_override * param_tensor_buft_overrides_p) + : metadata(meta), set_tensor_data(set_tensor_data), set_tensor_data_ud(set_tensor_data_ud) { int trace = 0; if (getenv("LLAMA_TRACE")) { trace = atoi(getenv("LLAMA_TRACE")); @@ -521,136 +531,142 @@ llama_model_loader::llama_model_loader( tensor_buft_overrides = param_tensor_buft_overrides_p; - // Load the main GGUF - struct ggml_context * ctx = NULL; - struct gguf_init_params params = { - /*.no_alloc = */ true, - /*.ctx = */ &ctx, - }; + if (!fname.empty()) { + // Load the main GGUF + struct ggml_context * ctx = NULL; + struct gguf_init_params params = { + /*.no_alloc = */ true, + /*.ctx = */ &ctx, + }; - meta.reset(gguf_init_from_file(fname.c_str(), params)); - if (!meta) { - throw std::runtime_error(format("%s: failed to load model from %s", __func__, fname.c_str())); - } - - get_key(llm_kv(LLM_KV_GENERAL_ARCHITECTURE), arch_name, false); - llm_kv = LLM_KV(llm_arch_from_string(arch_name)); - - files.emplace_back(new llama_file(fname.c_str(), "rb", use_direct_io)); - contexts.emplace_back(ctx); - - if (use_mmap && use_direct_io) { - if (files.back()->has_direct_io()) { - LLAMA_LOG_WARN("%s: direct I/O is enabled, disabling mmap\n", __func__); - use_mmap = false; - } else { - LLAMA_LOG_WARN("%s: direct I/O is not available, using mmap\n", __func__); - use_direct_io = false; - - // reopen file using std::fopen for mmap - files.pop_back(); - files.emplace_back(new llama_file(fname.c_str(), "rb", false)); - } - } - - // Save tensors data offset of the main file. - // For subsidiary files, `meta` tensor data offset must not be used, - // so we build a unified tensors index for weights. - for (ggml_tensor * cur = ggml_get_first_tensor(ctx); cur; cur = ggml_get_next_tensor(ctx, cur)) { - std::string tensor_name = std::string(cur->name); - // make sure there is no duplicated tensor names - if (weights_map.find(tensor_name) != weights_map.end()) { - throw std::runtime_error(format("invalid model: tensor '%s' is duplicated", ggml_get_name(cur))); - } - n_elements += ggml_nelements(cur); - n_bytes += ggml_nbytes(cur); - weights_map.emplace(tensor_name, llama_tensor_weight(files.back().get(), 0, meta.get(), cur)); - } - uint16_t n_split = 0; - get_key(llm_kv(LLM_KV_SPLIT_COUNT), n_split, false); - - // Load additional GGML contexts - if (n_split > 1) { - // make sure the main file is loaded first - uint16_t idx = 0; - const std::string kv_split_no = llm_kv(LLM_KV_SPLIT_NO); - get_key(kv_split_no, idx); - if (idx != 0) { - throw std::runtime_error(format("illegal split file idx: %d (file: %s), model must be loaded with the first split", idx, fname.c_str())); + metadata_ptr.reset(gguf_init_from_file(fname.c_str(), params)); + metadata = metadata_ptr.get(); + if (metadata == nullptr) { + throw std::runtime_error(format("%s: failed to load model from %s", __func__, fname.c_str())); } - // generate list of splits if needed - if (splits.empty()) { - splits = llama_get_list_splits(fname, idx, n_split); + get_key(llm_kv(LLM_KV_GENERAL_ARCHITECTURE), arch_name, false); + llm_kv = LLM_KV(llm_arch_from_string(arch_name)); + + files.emplace_back(new llama_file(fname.c_str(), "rb", use_direct_io)); + contexts.emplace_back(ctx); + + if (use_mmap && use_direct_io) { + if (files.back()->has_direct_io()) { + LLAMA_LOG_WARN("%s: direct I/O is enabled, disabling mmap\n", __func__); + use_mmap = false; + } else { + LLAMA_LOG_WARN("%s: direct I/O is not available, using mmap\n", __func__); + use_direct_io = false; + + // reopen file using std::fopen for mmap + files.pop_back(); + files.emplace_back(new llama_file(fname.c_str(), "rb", false)); + } } - // in case user give a custom list of splits, check if it matches the expected number - if (n_split != (uint16_t)splits.size()) { - throw std::runtime_error(format("invalid split count, given: %zu splits, but expected %d", splits.size(), n_split)); + // Save tensors data offset of the main file. + // For subsidiary files, `meta` tensor data offset must not be used, + // so we build a unified tensors index for weights. + for (ggml_tensor * cur = ggml_get_first_tensor(ctx); cur; cur = ggml_get_next_tensor(ctx, cur)) { + std::string tensor_name = std::string(cur->name); + // make sure there is no duplicated tensor names + if (weights_map.find(tensor_name) != weights_map.end()) { + throw std::runtime_error(format("invalid model: tensor '%s' is duplicated", ggml_get_name(cur))); + } + n_elements += ggml_nelements(cur); + n_bytes += ggml_nbytes(cur); + weights_map.emplace(tensor_name, llama_tensor_weight(files.back().get(), 0, metadata, cur)); } + uint16_t n_split = 0; + get_key(llm_kv(LLM_KV_SPLIT_COUNT), n_split, false); - if (trace > 0) { - LLAMA_LOG_INFO("%s: loading additional %d GGUFs\n", __func__, n_split); - } - - // load other splits - for (idx = 1; idx < n_split; idx++) { - const char * fname_split = splits[idx].c_str(); - - struct gguf_init_params split_params = { - /*.no_alloc = */ true, - /*.ctx = */ &ctx, - }; - gguf_context_ptr ctx_gguf { gguf_init_from_file(fname_split, split_params) }; - if (!ctx_gguf) { - throw std::runtime_error(format("%s: failed to load GGUF split from %s", __func__, fname_split)); + // Load additional GGML contexts + if (n_split > 1) { + // make sure the main file is loaded first + uint16_t idx = 0; + const std::string kv_split_no = llm_kv(LLM_KV_SPLIT_NO); + get_key(kv_split_no, idx); + if (idx != 0) { + throw std::runtime_error(format("illegal split file idx: %d (file: %s), model must be loaded with the first split", idx, fname.c_str())); } - // check idx + // generate list of splits if needed + if (splits.empty()) { + splits = llama_get_list_splits(fname, idx, n_split); + } + + // in case user give a custom list of splits, check if it matches the expected number + if (n_split != (uint16_t)splits.size()) { + throw std::runtime_error(format("invalid split count, given: %zu splits, but expected %d", splits.size(), n_split)); + } + + if (trace > 0) { + LLAMA_LOG_INFO("%s: loading additional %d GGUFs\n", __func__, n_split); + } + + // load other splits + for (idx = 1; idx < n_split; idx++) { + const char * fname_split = splits[idx].c_str(); + + struct gguf_init_params split_params = { + /*.no_alloc = */ true, + /*.ctx = */ &ctx, + }; + gguf_context_ptr ctx_gguf { gguf_init_from_file(fname_split, split_params) }; + if (!ctx_gguf) { + throw std::runtime_error(format("%s: failed to load GGUF split from %s", __func__, fname_split)); + } + + // check idx + { + const int kid = gguf_find_key(ctx_gguf.get(), kv_split_no.c_str()); + if (kid < 0) { + throw std::runtime_error(format("missing key %s in GGUF split %s", kv_split_no.c_str(), fname_split)); + } + int idx_gguf = gguf_get_val_u16(ctx_gguf.get(), kid); + if (idx_gguf != idx) { + throw std::runtime_error(format("invalid split file idx: %d (file: %s), expected %d", idx_gguf, fname_split, idx)); + } + } + + files.emplace_back(new llama_file(fname_split, "rb", use_direct_io)); + contexts.emplace_back(ctx); + + // Save tensors data offset info of the shard. + for (ggml_tensor * cur = ggml_get_first_tensor(ctx); cur; cur = ggml_get_next_tensor(ctx, cur)) { + std::string tensor_name = std::string(cur->name); + // make sure there is no duplicated tensor names + if (weights_map.find(tensor_name) != weights_map.end()) { + throw std::runtime_error(format("invalid model: tensor '%s' is duplicated", ggml_get_name(cur))); + } + n_elements += ggml_nelements(cur); + n_bytes += ggml_nbytes(cur); + weights_map.emplace(tensor_name, llama_tensor_weight(files.back().get(), idx, ctx_gguf.get(), cur)); + } + } + + get_key(llm_kv(LLM_KV_SPLIT_TENSORS_COUNT), n_tensors); + + // sanity check { - const int kid = gguf_find_key(ctx_gguf.get(), kv_split_no.c_str()); - if (kid < 0) { - throw std::runtime_error(format("missing key %s in GGUF split %s", kv_split_no.c_str(), fname_split)); - } - int idx_gguf = gguf_get_val_u16(ctx_gguf.get(), kid); - if (idx_gguf != idx) { - throw std::runtime_error(format("invalid split file idx: %d (file: %s), expected %d", idx_gguf, fname_split, idx)); + const int n_tensors_loaded = (int) weights_map.size(); + if (n_tensors != n_tensors_loaded) { + throw std::runtime_error(format("corrupted model: %d tensors expected but %d found", n_tensors, n_tensors_loaded)); } } - files.emplace_back(new llama_file(fname_split, "rb", use_direct_io)); - contexts.emplace_back(ctx); - - // Save tensors data offset info of the shard. - for (ggml_tensor * cur = ggml_get_first_tensor(ctx); cur; cur = ggml_get_next_tensor(ctx, cur)) { - std::string tensor_name = std::string(cur->name); - // make sure there is no duplicated tensor names - if (weights_map.find(tensor_name) != weights_map.end()) { - throw std::runtime_error(format("invalid model: tensor '%s' is duplicated", ggml_get_name(cur))); - } - n_elements += ggml_nelements(cur); - n_bytes += ggml_nbytes(cur); - weights_map.emplace(tensor_name, llama_tensor_weight(files.back().get(), idx, ctx_gguf.get(), cur)); - } + LLAMA_LOG_INFO("%s: additional %d GGUFs metadata loaded.\n", __func__, n_split - 1); } - - get_key(llm_kv(LLM_KV_SPLIT_TENSORS_COUNT), n_tensors); - - // sanity check - { - const int n_tensors_loaded = (int) weights_map.size(); - if (n_tensors != n_tensors_loaded) { - throw std::runtime_error(format("corrupted model: %d tensors expected but %d found", n_tensors, n_tensors_loaded)); - } - } - - LLAMA_LOG_INFO("%s: additional %d GGUFs metadata loaded.\n", __func__, n_split - 1); + } else { + get_key(llm_kv(LLM_KV_GENERAL_ARCHITECTURE), arch_name, false); + llm_kv = LLM_KV(llm_arch_from_string(arch_name)); } - n_kv = gguf_get_n_kv(meta.get()); + n_kv = gguf_get_n_kv(metadata); n_tensors = weights_map.size(); - fver = (enum llama_fver) gguf_get_version(meta.get()); + fver = (enum llama_fver) gguf_get_version(metadata); LLAMA_LOG_INFO("%s: loaded meta data with %d key-value pairs and %d tensors from %s (version %s)\n", __func__, n_kv, n_tensors, fname.c_str(), llama_file_version_name(fver)); @@ -709,6 +725,7 @@ llama_model_loader::llama_model_loader( case GGML_TYPE_IQ4_NL: ftype = LLAMA_FTYPE_MOSTLY_IQ4_NL; break; case GGML_TYPE_IQ4_XS: ftype = LLAMA_FTYPE_MOSTLY_IQ4_XS; break; case GGML_TYPE_IQ3_S: ftype = LLAMA_FTYPE_MOSTLY_IQ3_S; break; + case GGML_TYPE_NVFP4: ftype = LLAMA_FTYPE_MOSTLY_NVFP4; break; default: { LLAMA_LOG_WARN("%s: unknown type %s\n", __func__, ggml_type_name(type_max)); @@ -729,14 +746,14 @@ llama_model_loader::llama_model_loader( LLAMA_LOG_INFO("%s: Dumping metadata keys/values. Note: KV overrides do not apply in this output.\n", __func__); for (int i = 0; i < n_kv; i++) { - const char * name = gguf_get_key(meta.get(), i); - const enum gguf_type type = gguf_get_kv_type(meta.get(), i); + const char * name = gguf_get_key(metadata, i); + const enum gguf_type type = gguf_get_kv_type(metadata, i); const std::string type_name = type == GGUF_TYPE_ARRAY - ? format("%s[%s,%zu]", gguf_type_name(type), gguf_type_name(gguf_get_arr_type(meta.get(), i)), gguf_get_arr_n(meta.get(), i)) + ? format("%s[%s,%zu]", gguf_type_name(type), gguf_type_name(gguf_get_arr_type(metadata, i)), gguf_get_arr_n(metadata, i)) : gguf_type_name(type); - std::string value = gguf_kv_to_str(meta.get(), i); + std::string value = gguf_kv_to_str(metadata, i); const size_t MAX_VALUE_LEN = 40; if (value.size() > MAX_VALUE_LEN) { value = format("%s...", value.substr(0, MAX_VALUE_LEN - 3).c_str()); @@ -838,15 +855,382 @@ const struct ggml_tensor * llama_model_loader::check_tensor_dims(const std::stri return cur; } -struct ggml_tensor * llama_model_loader::create_tensor(struct ggml_context * ctx, const std::string & name, const std::initializer_list & ne, int flags) { - LLAMA_LOG_DEBUG("%s: loading tensor %s\n", __func__, name.c_str()); - const struct ggml_tensor * cur = check_tensor_dims(name, ne, !(flags & TENSOR_NOT_REQUIRED)); +// checks if the weight tensor can be used with the specified buffer type and device +static bool weight_buft_supported(const llama_hparams & hparams, ggml_tensor * w, ggml_op op, ggml_backend_buffer_type_t buft, ggml_backend_dev_t dev) { + GGML_ASSERT(w != nullptr); + + if (op == GGML_OP_NONE) { + return true; + } + + ggml_init_params params = { + /*.mem_size =*/ ggml_tensor_overhead()*8, + /*.mem_buffer =*/ NULL, + /*.no_alloc =*/ true, + }; + ggml_context_ptr ctx_ptr { ggml_init(params) }; + if (!ctx_ptr) { + throw std::runtime_error(format("failed to create ggml context")); + } + ggml_context * ctx = ctx_ptr.get(); + + ggml_tensor * op_tensor = nullptr; + + switch (op) { + case GGML_OP_GET_ROWS: + { + ggml_tensor * b = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, 512); + op_tensor = ggml_get_rows(ctx, w, b); + } break; + case GGML_OP_MUL_MAT: + { + ggml_tensor * b = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, w->ne[0], 512, w->ne[2], w->ne[3]); + op_tensor = ggml_mul_mat(ctx, w, b); + } break; + case GGML_OP_MUL_MAT_ID: + { + const int n_expert_used = hparams.n_expert_used; + GGML_ASSERT(n_expert_used > 0); + ggml_tensor * b = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, w->ne[0], n_expert_used, 512); + ggml_tensor * ids = ggml_new_tensor_2d(ctx, GGML_TYPE_I32, n_expert_used, 512); + op_tensor = ggml_mul_mat_id(ctx, w, b, ids); + } break; + case GGML_OP_ADD: + { + ggml_tensor * a = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, w->ne[0], w->ne[1], w->ne[2], w->ne[3]); + op_tensor = ggml_add(ctx, a, w); + } break; + case GGML_OP_ADD_ID: + { + const int n_expert_used = hparams.n_expert_used; + GGML_ASSERT(n_expert_used > 0); + ggml_tensor * a = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, w->ne[0], n_expert_used, 512); + ggml_tensor * c = ggml_new_tensor_2d(ctx, GGML_TYPE_I32, n_expert_used, 512); + op_tensor = ggml_add_id(ctx, a, w, c); + } break; + case GGML_OP_MUL: + { + ggml_tensor * a = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, w->ne[0], w->ne[1], w->ne[2], w->ne[3]); + op_tensor = ggml_mul(ctx, a, w); + } break; + case GGML_OP_DIV: + { + ggml_tensor * a = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, w->ne[0]); + op_tensor = ggml_div(ctx, a, w); + } break; + case GGML_OP_ROPE: + { + const int n_embd_head = hparams.n_embd_head_v(); + const int n_head = hparams.n_head(); + ggml_tensor * a = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, n_embd_head, n_head, 512); + ggml_tensor * b = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, 512); + op_tensor = ggml_rope_ext( + ctx, a, b, w, + 0, 0, 0, 0, 0, + 0, 0, 0, 0 + ); + + } break; + case GGML_OP_SSM_CONV: + { + const int64_t n_seq_tokens = 512; + const int64_t n_seqs = 3; + ggml_tensor * conv_x = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, w->ne[0] - 1 + n_seq_tokens, w->ne[1], n_seqs); + op_tensor = ggml_ssm_conv(ctx, conv_x, w); + } break; + case GGML_OP_SSM_SCAN: + { + // w is ssm_a, which is used to distinguish Mamba-1 and Mamba-2 + const int64_t d_state = w->ne[0] == 1 ? hparams.ssm_d_state : w->ne[0]; + const int64_t n_head = w->ne[1]; + const int64_t head_dim = hparams.ssm_d_inner / n_head; + const int64_t n_group = hparams.ssm_n_group ? hparams.ssm_n_group : 1; + const int64_t n_seq_tokens = 512; + const int64_t n_seqs = 3; + ggml_tensor * s = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, d_state, head_dim, n_head, n_seqs); + ggml_tensor * x = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, head_dim, n_head, n_seq_tokens, n_seqs); + ggml_tensor * dt = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, n_head, n_seq_tokens, n_seqs); + ggml_tensor * B = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, d_state, n_group, n_seq_tokens, n_seqs); + ggml_tensor * C = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, d_state, n_group, n_seq_tokens, n_seqs); + ggml_tensor * ids = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, n_seqs); + op_tensor = ggml_ssm_scan(ctx, s, x, dt, w, B, C, ids); + } break; + case GGML_OP_RWKV_WKV6: + { + // FIXME + const int64_t S = 123; + const int64_t H = 123; + const int64_t n_tokens = 123; + const int64_t n_seqs = 123; + ggml_tensor * k = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens); + ggml_tensor * v = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens); + ggml_tensor * r = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens); + ggml_tensor * tf = w; + ggml_tensor * td = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens); + ggml_tensor * state = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, S, n_seqs, S, H); + op_tensor = ggml_rwkv_wkv6(ctx, k, v, r, tf, td, state); + } break; + case GGML_OP_IM2COL: + { + const int n_embd_inp = hparams.n_embd_inp(); + ggml_tensor * b = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, n_embd_inp, w->ne[1], 1, 1); + op_tensor = ggml_im2col(ctx, w, b, 1, 0, 0, 0, 1, 0, false, GGML_TYPE_F16); + } break; + case GGML_OP_SCALE: + { + op_tensor = ggml_scale(ctx, w, 1.0f); + } break; + default: + GGML_ABORT("%s: missing test for op %s for tensor %s", __func__, ggml_op_name(op), w->name); + } + + // create a temporary dummy buffer for the weight so that supports_op can check the buffer type + GGML_ASSERT(w->buffer == nullptr); + w->buffer = ggml_backend_buft_alloc_buffer(buft, 0); + bool op_supported = ggml_backend_dev_supports_op(dev, op_tensor); + ggml_backend_buffer_free(w->buffer); + w->buffer = nullptr; + + return op_supported; +} + +// find the first buffer type in the list that can use the tensor +static ggml_backend_buffer_type_t select_weight_buft(const llama_hparams & hparams, ggml_tensor * tensor, ggml_op op, const buft_list_t * buft_list) { + GGML_ASSERT(!buft_list->empty()); + for (const auto & cur : *buft_list) { + ggml_backend_dev_t cur_dev = cur.first; + ggml_backend_buffer_type_t cur_buft = cur.second; + if (weight_buft_supported(hparams, tensor, op, cur_buft, cur_dev)) { + return cur_buft; + } + } + + return nullptr; +} + +struct ggml_tensor * llama_model_loader::create_tensor( + const llama_hparams & hparams, const buft_list_t * buft_list_cpu, const buft_list_t * buft_list_input, const buft_list_t * buft_list_output, + const buft_list_t * buft_list_layer, const LLM_TN_IMPL & tn, const std::initializer_list & ne, int flags) { + auto ctx_for_buft = [&](ggml_backend_buffer_type_t buft) -> ggml_context * { + auto it = ctx_map.find(buft); + if (it == ctx_map.end()) { + // one ggml context per buffer type + int max_n_tensors = n_tensors; + max_n_tensors += 1; // duplicated output tensor + max_n_tensors += hparams.n_layer*2; // duplicated rope freq tensors + if (files.empty()) { + max_n_tensors += hparams.n_layer*256; // this should be well above what any model actually uses + } + const size_t ctx_size = ggml_tensor_overhead()*max_n_tensors; + + ggml_init_params params = { + /*.mem_size =*/ ctx_size, + /*.mem_buffer =*/ NULL, + /*.no_alloc =*/ true, + }; + + ggml_context * ctx = ggml_init(params); + if (!ctx) { + throw std::runtime_error(format("failed to create ggml context")); + } + + ctx_map.emplace(buft, ctx); + + return ctx; + } + return it->second.get(); + }; + + auto buft_for_tensor = [&](ggml_tensor * t_meta) -> ggml_backend_buffer_type_t { + if (!t_meta) { + if (flags & TENSOR_NOT_REQUIRED) { + return nullptr; + } + throw std::runtime_error(format("missing tensor '%s'", tn.str().c_str())); + } + + // some models use the token embedding tensor as the output, but since these are used in different layers and with different ops + // the tensor is duplicated + // to handle this, we check if the tensor is duplicated, and if so, we assume that it is being loaded as the output tensor + llm_tensor tn_tensor = tn.tensor; + if (tn.tensor == LLM_TENSOR_TOKEN_EMBD && (flags & TENSOR_DUPLICATED)) { + tn_tensor = LLM_TENSOR_OUTPUT; + } + + llm_tensor_info info; + try { + info = llm_tensor_info_for(tn_tensor); + } catch (const std::out_of_range & e) { + throw std::runtime_error(format("missing tensor info mapping for %s", tn.str().c_str())); + } + + // skip unused tensors + if (info.op == GGML_OP_NONE || (flags & TENSOR_SKIP)) { + const size_t nbytes = ggml_nbytes(t_meta); + LLAMA_LOG_WARN("model has unused tensor %s (size = %zu bytes) -- ignoring\n", tn.str().c_str(), nbytes); + + size_data -= nbytes; + n_created++; + + return nullptr; + } + + // tensors with "bias" suffix are always used with GGML_OP_ADD or GGML_OP_ADD_ID + ggml_op op; + bool bias = tn.suffix != nullptr && strcmp(tn.suffix, "bias") == 0; + if (bias) { + if (info.op == GGML_OP_MUL_MAT_ID) { + op = GGML_OP_ADD_ID; + } else { + op = GGML_OP_ADD; + } + } else { + op = info.op; + } + + // sanity checks + if (info.layer == LLM_TENSOR_LAYER_INPUT || info.layer == LLM_TENSOR_LAYER_OUTPUT) { + if (tn.bid != -1) { + GGML_ABORT("input/output layer tensor %s used with a layer number", tn.str().c_str()); + } + } else { + if (tn.bid == -1) { + GGML_ABORT("repeating layer tensor %s used without a layer number", tn.str().c_str()); + } + } + + // select the buffer type for this tensor + const buft_list_t * buft_list; + switch (info.layer) { + case LLM_TENSOR_LAYER_INPUT: + buft_list = buft_list_input; + break; + case LLM_TENSOR_LAYER_OUTPUT: + buft_list = buft_list_output; + break; + case LLM_TENSOR_LAYER_REPEATING: + GGML_ASSERT(buft_list_layer != nullptr); + buft_list = buft_list_layer; + break; + default: + GGML_ABORT("invalid layer %d for tensor %s", info.layer, tn.str().c_str()); + } + + ggml_backend_buffer_type_t buft = nullptr; + + // check overrides + if (tensor_buft_overrides) { + std::string tensor_name = tn.str(); + for (const auto * overrides = tensor_buft_overrides; overrides->pattern != nullptr; ++overrides) { + std::regex pattern(overrides->pattern); + if (std::regex_search(tensor_name, pattern)) { + if (overrides->buft == ggml_backend_cpu_buffer_type()) { + // when overriding to a CPU buffer, consider the extra buffer types + buft = select_weight_buft(hparams, t_meta, op, buft_list_cpu); + } else { + buft = overrides->buft; + } + + LLAMA_LOG_DEBUG("tensor %s (%zu MiB %s) buffer type overridden to %s\n", + tensor_name.c_str(), + ggml_nbytes(t_meta) / 1024 / 1024, ggml_type_name(t_meta->type), + ggml_backend_buft_name(buft)); + break; + } + } + } + + if (!buft) { + buft = select_weight_buft(hparams, t_meta, op, buft_list); + if (!buft) { + throw std::runtime_error(format("failed to find a compatible buffer type for tensor %s", tn.str().c_str())); + } + } + + // avoid using a host buffer when using mmap + auto * buft_dev = ggml_backend_buft_get_device(buft); + if (use_mmap && buft_dev && buft == ggml_backend_dev_host_buffer_type(buft_dev)) { + auto * cpu_dev = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU); + if (!cpu_dev) { + throw std::runtime_error("no CPU backend found"); + } + buft = ggml_backend_dev_buffer_type(cpu_dev); + } + + if (buft != buft_list->front().second) { + if (n_tensors_moved == 0) { + first_tensor_moved_name = t_meta->name; + first_tensor_moved_type_name = ggml_type_name(t_meta->type); + first_moved_from_buft = buft_list->front().second; + first_moved_to_buft = buft; + } + n_tensors_moved++; + } + + return buft; + }; + + if (files.empty()) { + if (flags & TENSOR_SKIP_IF_VIRTUAL) { + return nullptr; + } + ggml_type type = GGML_TYPE_F32; + const int64_t tid = gguf_find_tensor(metadata, tn.str().c_str()); + if (tid != -1) { + type = gguf_get_tensor_type(metadata, tid); + } + + // for tensors that are not required some of the dimensions can be invalid: + if (flags & TENSOR_NOT_REQUIRED) { + for (size_t dim = 0; dim < ne.size(); dim++) { + if (ne.begin()[dim] <= 0) { + return nullptr; + } + } + } + + ggml_tensor t_meta; + memset(&t_meta, 0, sizeof(ggml_tensor)); + t_meta.type = type; + for (size_t dim = 0; dim < GGML_MAX_DIMS; dim++) { + t_meta.ne[dim] = dim < ne.size() ? ne.begin()[dim] : 1; + GGML_ASSERT(t_meta.ne[dim] >= 1); + t_meta.nb[dim] = dim == 0 ? ggml_type_size(type) : t_meta.ne[dim-1]*t_meta.nb[dim-1]; + GGML_ASSERT(t_meta.nb[dim] >= 1); + } + ggml_set_name(&t_meta, tn.str().c_str()); + + ggml_backend_buffer_type_t buft = buft_for_tensor(&t_meta); + GGML_ASSERT(buft != nullptr); + ggml_context * ctx = ctx_for_buft(buft); + ggml_tensor * ret = ggml_dup_tensor(ctx, &t_meta); + ggml_set_name(ret, tn.str().c_str()); + return ret; + } + + ggml_tensor * t_meta = get_tensor_meta(tn.str().c_str()); + ggml_backend_buffer_type_t buft = buft_for_tensor(t_meta); + if (buft == nullptr) { + return nullptr; // return type is ggml_tensor * + } + ggml_context * ctx = ctx_for_buft(buft); + + // if duplicated, check if the original tensor was allocated in the same buffer type context and avoid creating a new one + if (flags & TENSOR_DUPLICATED) { + ggml_tensor * t = ggml_get_tensor(ctx, tn.str().c_str()); + if (t) { + return t; + } + } + + LLAMA_LOG_DEBUG("%s: loading tensor %s\n", __func__, tn.str().c_str()); + const struct ggml_tensor * cur = check_tensor_dims(tn.str(), ne, !(flags & TENSOR_NOT_REQUIRED)); if (cur == NULL) { return NULL; } - bool duplicated = flags & TENSOR_DUPLICATED; + const bool duplicated = flags & TENSOR_DUPLICATED; struct ggml_tensor * tensor = ggml_dup_tensor(ctx, cur); ggml_set_name(tensor, ggml_get_name(cur)); @@ -858,7 +1242,6 @@ struct ggml_tensor * llama_model_loader::create_tensor(struct ggml_context * ctx } return tensor; - } struct ggml_tensor * llama_model_loader::create_tensor_as_view(struct ggml_context * ctx, struct ggml_tensor * base, const std::string & name, const std::initializer_list & ne, size_t offset, bool required) { @@ -893,6 +1276,11 @@ void llama_model_loader::done_getting_tensors() const { if (n_created != n_tensors) { throw std::runtime_error(format("%s: wrong number of tensors; expected %d, got %d", __func__, n_tensors, n_created)); } + if (n_tensors_moved > 0) { + LLAMA_LOG_DEBUG("%s: tensor '%s' (%s) (and %zu others) cannot be used with preferred buffer type %s, using %s instead\n", + __func__, first_tensor_moved_name.c_str(), first_tensor_moved_type_name.c_str(), n_tensors_moved - 1, + ggml_backend_buft_name(first_moved_from_buft), ggml_backend_buft_name(first_moved_to_buft)); + } } void llama_model_loader::init_mappings(bool prefetch, llama_mlocks * mlock_mmaps) { @@ -974,6 +1362,12 @@ bool llama_model_loader::load_all_data( llama_mlocks * lmlocks, llama_progress_callback progress_callback, void * progress_callback_user_data) { + if (files.empty()) { + for (ggml_tensor * t = ggml_get_first_tensor(ctx); t != nullptr; t = ggml_get_next_tensor(ctx, t)) { + set_tensor_data(t, set_tensor_data_ud); + } + return true; + } GGML_ASSERT(size_data != 0 && "call init_mappings() first"); std::vector> read_buf; diff --git a/src/llama-model-loader.h b/src/llama-model-loader.h index 65953dd3d5..ed5de729ca 100644 --- a/src/llama-model-loader.h +++ b/src/llama-model-loader.h @@ -4,17 +4,22 @@ #include "llama-impl.h" #include "llama-arch.h" +#include "llama-hparams.h" #include "llama-mmap.h" #include "ggml-cpp.h" #include +#include #include #include #include using llama_buf_map = std::unordered_map; +// lists of buffer types used for each layer +using buft_list_t = std::vector>; + enum llama_fver { GGUF_FILE_VERSION_V1 = 1, GGUF_FILE_VERSION_V2 = 2, @@ -58,9 +63,10 @@ struct llama_model_loader { } }; - static const int TENSOR_NOT_REQUIRED = 1 << 0; - static const int TENSOR_DUPLICATED = 1 << 1; - static const int TENSOR_SKIP = 1 << 2; + static const int TENSOR_NOT_REQUIRED = 1 << 0; + static const int TENSOR_DUPLICATED = 1 << 1; + static const int TENSOR_SKIP = 1 << 2; + static const int TENSOR_SKIP_IF_VIRTUAL = 1 << 3; int n_kv = 0; int n_tensors = 0; @@ -84,7 +90,10 @@ struct llama_model_loader { std::unordered_map kv_overrides; const llama_model_tensor_buft_override * tensor_buft_overrides; - gguf_context_ptr meta; + gguf_context_ptr metadata_ptr; + struct gguf_context * metadata; // either metadata_ptr.get() or externally set + llama_model_set_tensor_data_t set_tensor_data; + void * set_tensor_data_ud; std::vector contexts; std::string arch_name; @@ -94,7 +103,26 @@ struct llama_model_loader { size_t size_data = 0; std::vector> mmaps_used; + // define a comparator for the buft -> ctx map to ensure that the order is well-defined: + struct ggml_backend_buft_comparator { + bool operator()(const ggml_backend_buffer_type_t & lhs, const ggml_backend_buffer_type_t & rhs) const { + return strcmp(ggml_backend_buft_name(lhs), ggml_backend_buft_name(rhs)) < 0; + } + }; + + std::map ctx_map; + + // track tensors that had to be moved for debugging: + size_t n_tensors_moved = 0; + std::string first_tensor_moved_name; + std::string first_tensor_moved_type_name; + ggml_backend_buffer_type_t first_moved_from_buft = nullptr; + ggml_backend_buffer_type_t first_moved_to_buft = nullptr; + llama_model_loader( + struct gguf_context * metadata, + llama_model_set_tensor_data_t set_tensor_data, + void * set_tensor_data_ud, const std::string & fname, std::vector & splits, // optional, only need if the split does not follow naming scheme bool use_mmap, @@ -149,7 +177,9 @@ struct llama_model_loader { const struct ggml_tensor * check_tensor_dims(const std::string & name, const std::vector & ne, bool required) const; - struct ggml_tensor * create_tensor(struct ggml_context * ctx, const std::string & name, const std::initializer_list & ne, int flags = 0); + struct ggml_tensor * create_tensor( + const llama_hparams & hparams, const buft_list_t * buft_list_cpu, const buft_list_t * buft_list_input, const buft_list_t * buft_list_output, + const buft_list_t * buft_list_layer, const LLM_TN_IMPL & tn, const std::initializer_list & ne, int flags); struct ggml_tensor * create_tensor_as_view(struct ggml_context * ctx, struct ggml_tensor * base, const std::string & name, const std::initializer_list & ne, size_t offset, bool required = true); diff --git a/src/llama-model-saver.cpp b/src/llama-model-saver.cpp index 676efeda70..6f6538aecc 100644 --- a/src/llama-model-saver.cpp +++ b/src/llama-model-saver.cpp @@ -7,14 +7,19 @@ #include "llama-model.h" #include "llama-vocab.h" +#include #include -llama_model_saver::llama_model_saver(const struct llama_model & model) : model(model), llm_kv(model.arch) { - gguf_ctx = gguf_init_empty(); -} +llama_model_saver::llama_model_saver(const struct llama_model * model) : + gguf_ctx(gguf_init_empty()), gguf_ctx_owned(true), model(model), llm_kv(model->arch) {} + +llama_model_saver::llama_model_saver(enum llm_arch arch, struct gguf_context * gguf_ctx) : + gguf_ctx(gguf_ctx == nullptr ? gguf_init_empty() : gguf_ctx), gguf_ctx_owned(gguf_ctx == nullptr), model(nullptr), llm_kv(arch) {} llama_model_saver::~llama_model_saver() { - gguf_free(gguf_ctx); + if (gguf_ctx_owned) { + gguf_free(gguf_ctx); + } } void llama_model_saver::add_kv(const enum llm_kv key, const uint32_t value) { @@ -46,7 +51,8 @@ void llama_model_saver::add_kv(const enum llm_kv key, const char value) { template void llama_model_saver::add_kv(const enum llm_kv key, const Container & value, const bool per_layer) { - const size_t n_values = per_layer ? size_t(model.hparams.n_layer) : value.size(); + GGML_ASSERT(model != nullptr || !per_layer); + const size_t n_values = per_layer ? size_t(model->hparams.n_layer) : value.size(); GGML_ASSERT(n_values <= value.size()); if (n_values == 0) { @@ -83,6 +89,8 @@ void llama_model_saver::add_kv(const enum llm_kv key, const Container & value, c GGML_ABORT("fatal error"); } } +// instantiate for external usage: +template void llama_model_saver::add_kv>(const enum llm_kv, const std::vector &, const bool); void llama_model_saver::add_kv(const enum llm_kv key, const std::vector & value) { std::vector tmp(value.size()); @@ -104,37 +112,39 @@ void llama_model_saver::add_tensor(const struct ggml_tensor * tensor) { } void llama_model_saver::add_kv_from_model() { - const llama_hparams & hparams = model.hparams; - const llama_vocab & vocab = model.vocab; + const llama_hparams & hparams = model->hparams; + const llama_vocab & vocab = model->vocab; const int32_t n_vocab = vocab.n_tokens(); std::vector tokens(n_vocab); std::vector scores(n_vocab); std::vector token_types(n_vocab); - for (int32_t id = 0; id < n_vocab; ++id) { - const llama_vocab::token_data & token_data = vocab.get_token_data(id); + if (vocab.get_type() != LLAMA_VOCAB_TYPE_NONE) { + for (int32_t id = 0; id < n_vocab; ++id) { + const llama_vocab::token_data & token_data = vocab.get_token_data(id); - tokens[id] = token_data.text; - scores[id] = token_data.score; + tokens[id] = token_data.text; + scores[id] = token_data.score; - switch(token_data.attr) { - case LLAMA_TOKEN_ATTR_UNKNOWN: token_types[id] = LLAMA_TOKEN_TYPE_UNKNOWN; break; - case LLAMA_TOKEN_ATTR_UNUSED: token_types[id] = LLAMA_TOKEN_TYPE_UNUSED; break; - case LLAMA_TOKEN_ATTR_NORMAL: token_types[id] = LLAMA_TOKEN_TYPE_NORMAL; break; - case LLAMA_TOKEN_ATTR_CONTROL: token_types[id] = LLAMA_TOKEN_TYPE_CONTROL; break; - case LLAMA_TOKEN_ATTR_USER_DEFINED: token_types[id] = LLAMA_TOKEN_TYPE_USER_DEFINED; break; - case LLAMA_TOKEN_ATTR_BYTE: token_types[id] = LLAMA_TOKEN_TYPE_BYTE; break; - case LLAMA_TOKEN_ATTR_UNDEFINED: - default: token_types[id] = LLAMA_TOKEN_TYPE_UNDEFINED; break; + switch(token_data.attr) { + case LLAMA_TOKEN_ATTR_UNKNOWN: token_types[id] = LLAMA_TOKEN_TYPE_UNKNOWN; break; + case LLAMA_TOKEN_ATTR_UNUSED: token_types[id] = LLAMA_TOKEN_TYPE_UNUSED; break; + case LLAMA_TOKEN_ATTR_NORMAL: token_types[id] = LLAMA_TOKEN_TYPE_NORMAL; break; + case LLAMA_TOKEN_ATTR_CONTROL: token_types[id] = LLAMA_TOKEN_TYPE_CONTROL; break; + case LLAMA_TOKEN_ATTR_USER_DEFINED: token_types[id] = LLAMA_TOKEN_TYPE_USER_DEFINED; break; + case LLAMA_TOKEN_ATTR_BYTE: token_types[id] = LLAMA_TOKEN_TYPE_BYTE; break; + case LLAMA_TOKEN_ATTR_UNDEFINED: + default: token_types[id] = LLAMA_TOKEN_TYPE_UNDEFINED; break; + } } } // add_kv(LLM_KV_GENERAL_TYPE, ???); - add_kv(LLM_KV_GENERAL_ARCHITECTURE, model.arch_name()); + add_kv(LLM_KV_GENERAL_ARCHITECTURE, model->arch_name()); // add_kv(LLM_KV_GENERAL_QUANTIZATION_VERSION, ???); // add_kv(LLM_KV_GENERAL_ALIGNMENT, ???); - add_kv(LLM_KV_GENERAL_NAME, model.name); + add_kv(LLM_KV_GENERAL_NAME, model->name); // add_kv(LLM_KV_GENERAL_AUTHOR, ???); // add_kv(LLM_KV_GENERAL_VERSION, ???); // add_kv(LLM_KV_GENERAL_URL, ???); @@ -176,8 +186,10 @@ void llama_model_saver::add_kv_from_model() { add_kv(LLM_KV_ATTENTION_HEAD_COUNT_KV, hparams.n_head_kv_arr, true); add_kv(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias); add_kv(LLM_KV_ATTENTION_CLAMP_KQV, hparams.f_clamp_kqv); - add_kv(LLM_KV_ATTENTION_KEY_LENGTH, hparams.n_embd_head_k); - add_kv(LLM_KV_ATTENTION_VALUE_LENGTH, hparams.n_embd_head_v); + add_kv(LLM_KV_ATTENTION_KEY_LENGTH, hparams.n_embd_head_k_full); + add_kv(LLM_KV_ATTENTION_VALUE_LENGTH, hparams.n_embd_head_v_full); + add_kv(LLM_KV_ATTENTION_KEY_LENGTH_SWA, hparams.n_embd_head_k_swa); + add_kv(LLM_KV_ATTENTION_VALUE_LENGTH_SWA, hparams.n_embd_head_v_swa); add_kv(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); add_kv(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); add_kv(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn); @@ -189,7 +201,8 @@ void llama_model_saver::add_kv_from_model() { const float rope_scaling_factor = hparams.rope_freq_scale_train == 1.0f ? 0.0f : 1.0f/hparams.rope_freq_scale_train; - add_kv(LLM_KV_ROPE_DIMENSION_COUNT, hparams.n_rot); + add_kv(LLM_KV_ROPE_DIMENSION_COUNT, hparams.n_rot_full); + add_kv(LLM_KV_ROPE_DIMENSION_COUNT_SWA, hparams.n_rot_swa); add_kv(LLM_KV_ROPE_FREQ_BASE, hparams.rope_freq_base_train); // add_kv(LLM_KV_ROPE_SCALE_LINEAR, rope_scaling_factor); // old name add_kv(LLM_KV_ROPE_SCALING_TYPE, llama_rope_scaling_type_name(hparams.rope_scaling_type_train)); @@ -255,25 +268,25 @@ void llama_model_saver::add_kv_from_model() { } void llama_model_saver::add_tensors_from_model() { - if (std::string(model.output->name) != std::string(model.tok_embd->name)) { - add_tensor(model.tok_embd); // some models use the same tensor for tok_embd and output + if (std::string(model->output->name) != std::string(model->tok_embd->name)) { + add_tensor(model->tok_embd); // some models use the same tensor for tok_embd and output } - add_tensor(model.type_embd); - add_tensor(model.pos_embd); - add_tensor(model.tok_norm); - add_tensor(model.tok_norm_b); - add_tensor(model.output_norm); - add_tensor(model.output_norm_b); - add_tensor(model.output); - add_tensor(model.output_b); - add_tensor(model.output_norm_enc); - add_tensor(model.cls); - add_tensor(model.cls_b); - add_tensor(model.cls_out); - add_tensor(model.cls_out_b); - add_tensor(model.cls_norm); + add_tensor(model->type_embd); + add_tensor(model->pos_embd); + add_tensor(model->tok_norm); + add_tensor(model->tok_norm_b); + add_tensor(model->output_norm); + add_tensor(model->output_norm_b); + add_tensor(model->output); + add_tensor(model->output_b); + add_tensor(model->output_norm_enc); + add_tensor(model->cls); + add_tensor(model->cls_b); + add_tensor(model->cls_out); + add_tensor(model->cls_out_b); + add_tensor(model->cls_norm); - for (const struct llama_layer & layer : model.layers) { + for (const struct llama_layer & layer : model->layers) { for (size_t i = 0; i < sizeof(layer)/sizeof(struct ggml_tensor *); ++i) { add_tensor(reinterpret_cast(&layer)[i]); } diff --git a/src/llama-model-saver.h b/src/llama-model-saver.h index a5a434c306..2b3541ce6c 100644 --- a/src/llama-model-saver.h +++ b/src/llama-model-saver.h @@ -1,5 +1,6 @@ #pragma once +#include "gguf.h" #include "llama.h" #include "llama-arch.h" @@ -7,10 +8,12 @@ struct llama_model_saver { struct gguf_context * gguf_ctx = nullptr; - const struct llama_model & model; + const bool gguf_ctx_owned; + const struct llama_model * model; const struct LLM_KV llm_kv; - llama_model_saver(const struct llama_model & model); + llama_model_saver(const struct llama_model * model); + llama_model_saver(enum llm_arch arch, struct gguf_context * gguf_ctx); ~llama_model_saver(); void add_kv(enum llm_kv key, uint32_t value); diff --git a/src/llama-model.cpp b/src/llama-model.cpp index 924e5708cd..f8caad2889 100644 --- a/src/llama-model.cpp +++ b/src/llama-model.cpp @@ -1,5 +1,6 @@ #include "llama-model.h" +#include "ggml.h" #include "llama-impl.h" #include "llama-mmap.h" #include "llama-cparams.h" @@ -18,6 +19,7 @@ #include #include #include +#include #include #include #include @@ -133,6 +135,7 @@ const char * llm_type_name(llm_type type) { case LLM_TYPE_100B_A6B: return "100B.A6B"; case LLM_TYPE_102B_A12B: return "102B.A12B"; case LLM_TYPE_106B_A12B: return "106B.A12B"; + case LLM_TYPE_120B_A12B: return "120B.A12B"; case LLM_TYPE_122B_A10B: return "122B.A10B"; case LLM_TYPE_196B_A11B: return "196B.A11B"; case LLM_TYPE_230B_A10B: return "230B.A10B"; @@ -177,160 +180,6 @@ static llama_rope_scaling_type llama_rope_scaling_type_from_string(const std::st return LLAMA_ROPE_SCALING_TYPE_UNSPECIFIED; } -// checks if the weight tensor can be used with the specified buffer type and device -static bool weight_buft_supported(const llama_hparams & hparams, ggml_tensor * w, ggml_op op, ggml_backend_buffer_type_t buft, ggml_backend_dev_t dev) { - GGML_ASSERT(w != nullptr); - - if (op == GGML_OP_NONE) { - return true; - } - - ggml_init_params params = { - /*.mem_size =*/ ggml_tensor_overhead()*8, - /*.mem_buffer =*/ NULL, - /*.no_alloc =*/ true, - }; - ggml_context_ptr ctx_ptr { ggml_init(params) }; - if (!ctx_ptr) { - throw std::runtime_error(format("failed to create ggml context")); - } - ggml_context * ctx = ctx_ptr.get(); - - ggml_tensor * op_tensor = nullptr; - - switch (op) { - case GGML_OP_GET_ROWS: - { - ggml_tensor * b = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, 512); - op_tensor = ggml_get_rows(ctx, w, b); - } break; - case GGML_OP_MUL_MAT: - { - ggml_tensor * b = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, w->ne[0], 512, w->ne[2], w->ne[3]); - op_tensor = ggml_mul_mat(ctx, w, b); - } break; - case GGML_OP_MUL_MAT_ID: - { - int n_expert_used = hparams.n_expert_used; - ggml_tensor * b = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, w->ne[0], n_expert_used, 512); - ggml_tensor * ids = ggml_new_tensor_2d(ctx, GGML_TYPE_I32, n_expert_used, 512); - op_tensor = ggml_mul_mat_id(ctx, w, b, ids); - } break; - case GGML_OP_ADD: - { - ggml_tensor * a = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, w->ne[0], w->ne[1], w->ne[2], w->ne[3]); - op_tensor = ggml_add(ctx, a, w); - } break; - case GGML_OP_ADD_ID: - { - int n_expert_used = hparams.n_expert_used; - ggml_tensor * a = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, w->ne[0], n_expert_used, 512); - ggml_tensor * c = ggml_new_tensor_2d(ctx, GGML_TYPE_I32, n_expert_used, 512); - op_tensor = ggml_add_id(ctx, a, w, c); - } break; - case GGML_OP_MUL: - { - ggml_tensor * a = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, w->ne[0], w->ne[1], w->ne[2], w->ne[3]); - op_tensor = ggml_mul(ctx, a, w); - } break; - case GGML_OP_DIV: - { - ggml_tensor * a = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, w->ne[0]); - op_tensor = ggml_div(ctx, a, w); - } break; - case GGML_OP_ROPE: - { - int n_embd_head = hparams.n_embd_head_v; - int n_head = hparams.n_head(); - ggml_tensor * a = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, n_embd_head, n_head, 512); - ggml_tensor * b = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, 512); - op_tensor = ggml_rope_ext( - ctx, a, b, w, - 0, 0, 0, 0, 0, - 0, 0, 0, 0 - ); - - } break; - case GGML_OP_SSM_CONV: - { - const int64_t n_seq_tokens = 512; - const int64_t n_seqs = 3; - ggml_tensor * conv_x = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, w->ne[0] - 1 + n_seq_tokens, w->ne[1], n_seqs); - op_tensor = ggml_ssm_conv(ctx, conv_x, w); - } break; - case GGML_OP_SSM_SCAN: - { - // w is ssm_a, which is used to distinguish Mamba-1 and Mamba-2 - const int64_t d_state = w->ne[0] == 1 ? hparams.ssm_d_state : w->ne[0]; - const int64_t n_head = w->ne[1]; - const int64_t head_dim = hparams.ssm_d_inner / n_head; - const int64_t n_group = hparams.ssm_n_group ? hparams.ssm_n_group : 1; - const int64_t n_seq_tokens = 512; - const int64_t n_seqs = 3; - ggml_tensor * s = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, d_state, head_dim, n_head, n_seqs); - ggml_tensor * x = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, head_dim, n_head, n_seq_tokens, n_seqs); - ggml_tensor * dt = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, n_head, n_seq_tokens, n_seqs); - ggml_tensor * B = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, d_state, n_group, n_seq_tokens, n_seqs); - ggml_tensor * C = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, d_state, n_group, n_seq_tokens, n_seqs); - ggml_tensor * ids = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, n_seqs); - op_tensor = ggml_ssm_scan(ctx, s, x, dt, w, B, C, ids); - } break; - case GGML_OP_RWKV_WKV6: - { - // FIXME - const int64_t S = 123; - const int64_t H = 123; - const int64_t n_tokens = 123; - const int64_t n_seqs = 123; - ggml_tensor * k = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens); - ggml_tensor * v = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens); - ggml_tensor * r = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens); - ggml_tensor * tf = w; - ggml_tensor * td = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens); - ggml_tensor * state = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, S, n_seqs, S, H); - op_tensor = ggml_rwkv_wkv6(ctx, k, v, r, tf, td, state); - } break; - case GGML_OP_IM2COL: - { - const int n_embd_inp = hparams.n_embd_inp(); - ggml_tensor * b = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, n_embd_inp, w->ne[1], 1, 1); - op_tensor = ggml_im2col(ctx, w, b, 1, 0, 0, 0, 1, 0, false, GGML_TYPE_F16); - } break; - case GGML_OP_SCALE: - { - op_tensor = ggml_scale(ctx, w, 1.0f); - } break; - default: - GGML_ABORT("%s: missing test for op %s for tensor %s", __func__, ggml_op_name(op), w->name); - } - - // create a temporary dummy buffer for the weight so that supports_op can check the buffer type - GGML_ASSERT(w->buffer == nullptr); - w->buffer = ggml_backend_buft_alloc_buffer(buft, 0); - bool op_supported = ggml_backend_dev_supports_op(dev, op_tensor); - ggml_backend_buffer_free(w->buffer); - w->buffer = nullptr; - - return op_supported; -} - -// lists of buffer types used for each layer -using buft_list_t = std::vector>; - -// find the first buffer type in the list that can use the tensor -static ggml_backend_buffer_type_t select_weight_buft(const llama_hparams & hparams, ggml_tensor * tensor, ggml_op op, const buft_list_t & buft_list) { - GGML_ASSERT(!buft_list.empty()); - for (const auto & cur : buft_list) { - ggml_backend_dev_t cur_dev = cur.first; - ggml_backend_buffer_type_t cur_buft = cur.second; - if (weight_buft_supported(hparams, tensor, op, cur_buft, cur_dev)) { - return cur_buft; - } - } - - return nullptr; -} - // CPU: ACCEL -> GPU host -> CPU extra -> CPU static buft_list_t make_cpu_buft_list(const std::vector & devices, bool use_extra_bufts, bool no_host) { buft_list_t buft_list; @@ -496,7 +345,7 @@ void llama_model::load_arch(llama_model_loader & ml) { } void llama_model::load_hparams(llama_model_loader & ml) { - const gguf_context * ctx = ml.meta.get(); + const gguf_context * ctx = ml.metadata; // get metadata as string for (int i = 0; i < gguf_get_n_kv(ctx); i++) { @@ -611,26 +460,37 @@ void llama_model::load_hparams(llama_model_loader & ml) { // gpt-neox n_rot = rotary_pct * (n_embd / n_head) // gpt-j n_rot = rotary_dim - hparams.n_embd_head_k = hparams.n_embd / hparams.n_head(); - ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH, hparams.n_embd_head_k, false); + hparams.n_embd_head_k_full = hparams.n_embd / hparams.n_head(); + ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH, hparams.n_embd_head_k_full, false); - hparams.n_embd_head_v = hparams.n_embd / hparams.n_head(); - ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH, hparams.n_embd_head_v, false); + hparams.n_embd_head_v_full = hparams.n_embd / hparams.n_head(); + ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH, hparams.n_embd_head_v_full, false); // sanity check for n_rot (optional) - hparams.n_rot = hparams.n_embd_head_k; + hparams.n_rot_full = hparams.n_embd_head_k_full; - ml.get_key(LLM_KV_ROPE_DIMENSION_COUNT, hparams.n_rot, false); + ml.get_key(LLM_KV_ROPE_DIMENSION_COUNT, hparams.n_rot_full, false); if (arch == LLM_ARCH_LLAMA || arch == LLM_ARCH_DECI || arch == LLM_ARCH_FALCON || arch == LLM_ARCH_LLAMA_EMBED) { - if (hparams.n_rot != hparams.n_embd_head_k) { - throw std::runtime_error(format("invalid n_rot: %u, expected %u", hparams.n_rot, hparams.n_embd_head_k)); + if (hparams.n_rot_full != hparams.n_embd_head_k_full) { + throw std::runtime_error(format("invalid n_rot: %u, expected %u", hparams.n_rot_full, hparams.n_embd_head_k_full)); } } } else { - hparams.n_rot = 0; - hparams.n_embd_head_k = 0; - hparams.n_embd_head_v = 0; + hparams.n_rot_full = 0; + hparams.n_embd_head_k_full = 0; + hparams.n_embd_head_v_full = 0; + } + + // head size and n_rot for SWA layers + { + hparams.n_embd_head_k_swa = hparams.n_embd_head_k_full; + hparams.n_embd_head_v_swa = hparams.n_embd_head_v_full; + ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_SWA, hparams.n_embd_head_k_swa, false); + ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_SWA, hparams.n_embd_head_v_swa, false); + + hparams.n_rot_swa = hparams.n_rot_full; + ml.get_key(LLM_KV_ROPE_DIMENSION_COUNT_SWA, hparams.n_rot_swa, false); } // for differentiating model types @@ -690,7 +550,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { hparams.n_attn_temp_floor_scale = 8192; hparams.f_attn_temp_scale = 0.1f; hparams.f_attn_temp_offset = 1.0f; - hparams.set_swa_pattern(4); // pattern: 3 chunked - 1 full + uint32_t swa_period = 4; // pattern: 3 chunked - 1 full + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; @@ -727,7 +589,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_AFMOE: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); @@ -739,7 +601,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { // Pattern: 3 sliding - 1 full (global_attn_every_n_layers = 4) if (hparams.n_swa > 0) { hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - hparams.set_swa_pattern(4); + uint32_t swa_period = 4; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; @@ -884,7 +748,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_BERT: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn); + ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn, false); ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false); switch (hparams.n_layer) { @@ -907,10 +771,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { { const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); if (found_swa && hparams.n_swa > 0) { - uint32_t swa_period = 3; hparams.swa_type = LLAMA_SWA_TYPE_SYMMETRIC; - - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa); + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + uint32_t swa_period = 3; ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); hparams.set_swa_pattern(swa_period, true); } else { @@ -918,7 +781,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { } ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn); + ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn, false); ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false); switch (hparams.n_layer) { @@ -934,7 +797,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_JINA_BERT_V2: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn); + ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn, false); ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false); hparams.f_max_alibi_bias = 8.0f; @@ -947,7 +810,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_JINA_BERT_V3: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn); + ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn, false); ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false); switch (hparams.n_layer) { @@ -960,8 +823,8 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_NOMIC_BERT_MOE: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn); - ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type); + ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn, false); + ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false); ml.get_key(LLM_KV_MOE_EVERY_N_LAYERS, hparams.moe_every_n_layers, 0); if (hparams.n_layer == 12 && hparams.n_embd == 768) { @@ -975,8 +838,8 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_NEO_BERT: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn); - ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type); + ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn, false); + ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false); if (hparams.n_layer == 28) { type = LLM_TYPE_250M; @@ -985,8 +848,8 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_EUROBERT: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn); - ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type); + ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn, false); + ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false); if (hparams.n_layer == 12) { type = LLM_TYPE_SMALL; // 0.2B @@ -1014,7 +877,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); ml.get_key(LLM_KV_ATTENTION_CLAMP_KQV, hparams.f_clamp_kqv, false); - ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias); + ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias, false); switch (hparams.n_layer) { case 32: type = LLM_TYPE_7B; break; @@ -1263,19 +1126,15 @@ void llama_model::load_hparams(llama_model_loader & ml) { break; default: type = LLM_TYPE_UNKNOWN; } - - // Load attention parameters - ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH, hparams.n_embd_head_k, false); - ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH, hparams.n_embd_head_v, false); } break; case LLM_ARCH_PLAMO3: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); if (found_swa && hparams.n_swa > 0) { - uint32_t swa_period = 8; hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa); + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + uint32_t swa_period = 8; ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); hparams.set_swa_pattern(swa_period); } else { @@ -1338,7 +1197,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { { hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; hparams.n_swa = 4096; // default value of gemma 2 - hparams.set_swa_pattern(2); + uint32_t swa_period = 2; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); hparams.attn_soft_cap = true; hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; @@ -1359,14 +1220,16 @@ void llama_model::load_hparams(llama_model_loader & ml) { // ref: https://github.com/google/gemma_pytorch/blob/014acb7ac4563a5f77c76d7ff98f31b568c16508/gemma/config.py#L173 hparams.f_attention_scale = type == LLM_TYPE_27B ? 1.0f / std::sqrt(float(hparams.n_embd / hparams.n_head(0))) - : 1.0f / std::sqrt(float(hparams.n_embd_head_k)); + : 1.0f / std::sqrt(float(hparams.n_embd_head_k())); } break; case LLM_ARCH_GEMMA3: { const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); if (found_swa && hparams.n_swa > 0) { hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - hparams.set_swa_pattern(6); + uint32_t swa_period = 6; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); } else { @@ -1390,12 +1253,14 @@ void llama_model::load_hparams(llama_model_loader & ml) { // ref: https://github.com/google/gemma_pytorch/blob/014acb7ac4563a5f77c76d7ff98f31b568c16508/gemma/config.py#L289 hparams.f_attention_scale = type == LLM_TYPE_27B ? 1.0f / std::sqrt(float(hparams.n_embd / hparams.n_head(0))) - : 1.0f / std::sqrt(float(hparams.n_embd_head_k)); + : 1.0f / std::sqrt(float(hparams.n_embd_head_k())); } break; case LLM_ARCH_GEMMA3N: { + uint32_t swa_period = 5; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - hparams.set_swa_pattern(5); + hparams.set_swa_pattern(swa_period); hparams.n_layer_kv_from_start = 20; hparams.f_attention_scale = 1.0f; @@ -1413,14 +1278,16 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_GEMMA_EMBEDDING: { hparams.swa_type = LLAMA_SWA_TYPE_SYMMETRIC; - hparams.set_swa_pattern(6); + uint32_t swa_period = 6; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); hparams.causal_attn = false; // embeddings do not use causal attention ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type); + ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false); //applied only if model converted with --sentence-transformers-dense-modules ml.get_key(LLM_KV_DENSE_2_FEAT_IN, hparams.dense_2_feat_in, false); @@ -1435,7 +1302,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { case 24: type = LLM_TYPE_0_3B; break; default: type = LLM_TYPE_UNKNOWN; } - hparams.f_attention_scale = 1.0f / std::sqrt(float(hparams.n_embd_head_k)); + hparams.f_attention_scale = 1.0f / std::sqrt(float(hparams.n_embd_head_k())); } break; case LLM_ARCH_STARCODER2: @@ -1545,7 +1412,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { } break; case LLM_ARCH_COMMAND_R: { - ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale); + ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale, false); ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); switch (hparams.n_layer) { case 40: type = LLM_TYPE_35B; break; @@ -1555,7 +1422,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_COHERE2: { hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - hparams.set_swa_pattern(4); + uint32_t swa_period = 4; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; @@ -1597,7 +1466,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); if (found_swa && hparams.n_swa > 0) { hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - hparams.set_swa_pattern(4); + uint32_t swa_period = 4; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; hparams.rope_freq_scale_train_swa = 1.0; // See olmo2.cpp @@ -1704,10 +1575,10 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_DEEPSEEK: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); switch (hparams.n_ff_exp) { case 1408: type = LLM_TYPE_16B; break; @@ -1716,12 +1587,13 @@ void llama_model::load_hparams(llama_model_loader & ml) { } } break; case LLM_ARCH_DEEPSEEK2: + case LLM_ARCH_MISTRAL4: { // lite variants include DeepSeek-V2-Lite, GigaChat3-10B-A1.8B, Kanana-2-30B-A3B const bool is_lite = (hparams.n_layer == 27 || hparams.n_layer == 26 || (hparams.n_layer == 48 && n_vocab == 128256)); ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); if (!is_lite) { ml.get_key(LLM_KV_ATTENTION_Q_LORA_RANK, hparams.n_lora_q); } @@ -1801,6 +1673,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { // NextN/MTP parameters (GLM-OCR) ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false); + GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer"); // TODO: when MTP is implemented, this should probably be updated if needed hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers; @@ -1823,7 +1696,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_EXPERT_USED_COUNT, hparams.n_expert_used); ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); // Expert gating function (GLM-4.5 uses sigmoid) @@ -1834,6 +1707,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { // NextN/MTP parameters ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false); + GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer"); // TODO: when MTP is implemented, this should probably be updated if needed hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers; @@ -1856,7 +1730,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_EXPERT_USED_COUNT, hparams.n_expert_used); ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); // deepseek MLA parameters @@ -1880,6 +1754,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { // NextN/MTP parameters ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false); + GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer"); // TODO: when MTP is implemented, this should probably be updated if needed hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers; @@ -1942,7 +1817,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_JAIS: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias); + ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias, false); switch (hparams.n_layer) { case 24: type = LLM_TYPE_1_3B; break; @@ -1991,10 +1866,12 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared, false); ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); + ml.get_key(LLM_KV_MOE_LATENT_SIZE, hparams.moe_latent_size, false); switch (hparams.n_layer) { case 52: type = LLM_TYPE_31B_A3_5B; break; // Nemotron-H_MOE 31B case 56: type = LLM_TYPE_9B; break; + case 88: type = LLM_TYPE_120B_A12B; break; default: type = LLM_TYPE_UNKNOWN; } } break; @@ -2012,7 +1889,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { if (hparams.n_layer == 64) { // 32B hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; hparams.n_swa = 4096; - hparams.set_swa_pattern(4); + uint32_t swa_period = 4; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; @@ -2032,7 +1911,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { { hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; hparams.n_swa = 128; - hparams.set_swa_pattern(4); + uint32_t swa_period = 4; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; @@ -2045,9 +1926,10 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func); ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false); + GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer"); switch (hparams.n_layer) { case 32: type = LLM_TYPE_30B_A3B; break; @@ -2129,9 +2011,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale); - ml.get_key(LLM_KV_RESIDUAL_SCALE, hparams.f_residual_scale); - ml.get_key(LLM_KV_EMBEDDING_SCALE, hparams.f_embedding_scale); - ml.get_key(LLM_KV_ATTENTION_SCALE, hparams.f_attention_scale); + ml.get_key(LLM_KV_RESIDUAL_SCALE, hparams.f_residual_scale, false); + ml.get_key(LLM_KV_EMBEDDING_SCALE, hparams.f_embedding_scale, false); + ml.get_key(LLM_KV_ATTENTION_SCALE, hparams.f_attention_scale, false); // Granite uses rope_finetuned as a switch for rope, so default to true bool rope_finetuned = true; @@ -2176,7 +2058,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { switch (hparams.n_embd) { case 768: type = LLM_TYPE_350M; break; - case 1536: type = (hparams.n_embd == 2048 ? LLM_TYPE_7B_A1B : LLM_TYPE_1B); break; + case 1536: type = (hparams.n_ff() == 512 ? LLM_TYPE_7B_A1B : LLM_TYPE_1B); break; case 2048: case 2560: type = LLM_TYPE_3B; break; case 4096: type = LLM_TYPE_32B; break; default: type = LLM_TYPE_UNKNOWN; @@ -2189,7 +2071,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); hparams.f_norm_eps = 1e-5; // eps for qk-norm, torch default - ml.get_key(LLM_KV_SWIN_NORM, hparams.swin_norm); + ml.get_key(LLM_KV_SWIN_NORM, hparams.swin_norm, false); switch (hparams.n_layer) { case 32: type = LLM_TYPE_7B; break; @@ -2202,15 +2084,15 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); ml.get_key(LLM_KV_ATTENTION_GROUPNORM_EPS, hparams.f_norm_group_eps); ml.get_key(LLM_KV_ATTENTION_GROUPNORM_GROUPS, hparams.n_norm_groups); - ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn); + ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn, false); } break; case LLM_ARCH_BAILINGMOE: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); switch (hparams.n_layer) { @@ -2222,14 +2104,15 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_BAILINGMOE2: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp); + ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func); ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false); + GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer"); // TODO: when MTP is implemented, this should probably be updated if needed hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers; @@ -2245,10 +2128,10 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_DOTS1: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); switch (hparams.n_layer) { @@ -2268,7 +2151,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); ml.get_key(LLM_KV_INTERLEAVE_MOE_LAYER_STEP, hparams.n_moe_layer_step); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); } switch (hparams.n_layer) { @@ -2313,7 +2196,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp); + ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); switch (hparams.n_layer) { case 32: type = LLM_TYPE_A13B; break; @@ -2349,7 +2232,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - hparams.set_swa_pattern(2); + uint32_t swa_period = 2; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; @@ -2387,7 +2272,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { { ml.get_key(LLM_KV_SHORTCONV_L_CACHE, hparams.n_shortconv_l_cache); ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func); @@ -2406,9 +2291,11 @@ void llama_model::load_hparams(llama_model_loader & ml) { const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); if (found_swa && hparams.n_swa > 0) { - hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - hparams.n_swa = 4096; - hparams.set_swa_pattern(4, true); + hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; + hparams.n_swa = 4096; + uint32_t swa_period = 4; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period, true); hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; @@ -2431,7 +2318,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_GROVEMOE: { ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_CHUNK_FEED_FORWARD_LENGTH, hparams.n_ff_chexp); + ml.get_key(LLM_KV_EXPERT_CHUNK_FEED_FORWARD_LENGTH, hparams.n_ff_chexp, false); ml.get_key(LLM_KV_EXPERT_GROUP_SCALE, hparams.expert_group_scale); ml.get_key(LLM_KV_EXPERTS_PER_GROUP, hparams.n_group_experts); ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); @@ -2602,7 +2489,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa); + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, hparams.swa_layers, hparams.n_layer); switch (hparams.n_layer) { @@ -2616,7 +2503,6 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_MLA, hparams.n_embd_head_k_mla_impl); ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_MLA, hparams.n_embd_head_v_mla_impl); ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK, hparams.n_lora_kv); - ml.get_key(LLM_KV_ROPE_DIMENSION_COUNT, hparams.n_rot); ml.get_key(LLM_KV_SSM_CONV_KERNEL, hparams.ssm_d_conv); ml.get_key(LLM_KV_KDA_HEAD_DIM, hparams.n_embd_head_kda); @@ -2632,8 +2518,8 @@ void llama_model::load_hparams(llama_model_loader & ml) { // MoE parameters - Kimi uses moe_intermediate_size = 1024 ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func); switch (hparams.n_layer) { @@ -2647,6 +2533,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; + // full_attention layer only use half of the RoPE dimensions + hparams.n_rot_full = hparams.n_rot_full / 2; + // MoE + SWA parameters ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); @@ -2660,7 +2549,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { } ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa); + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, hparams.swa_layers, hparams.n_layer); ml.get_key_or_arr(LLM_KV_SWIGLU_CLAMP_EXP, hparams.swiglu_clamp_exp, hparams.n_layer, false); ml.get_key_or_arr(LLM_KV_SWIGLU_CLAMP_SHEXP, hparams.swiglu_clamp_shexp, hparams.n_layer, false); @@ -2670,7 +2559,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { default: type = LLM_TYPE_UNKNOWN; } } break; - default: throw std::runtime_error("unsupported model architecture"); + default: throw std::runtime_error("unsupported model architecture: " + arch_name()); } pimpl->n_bytes = ml.n_bytes; @@ -2777,44 +2666,10 @@ bool llama_model::load_tensors(llama_model_loader & ml) { // assign the output layer pimpl->dev_output = get_layer_buft_list(n_layer); - // one ggml context per buffer type - int max_n_tensors = ml.n_tensors; - max_n_tensors += 1; // duplicated output tensor - max_n_tensors += n_layer*2; // duplicated rope freq tensors - const size_t ctx_size = ggml_tensor_overhead()*max_n_tensors; - - // define a comparator for the buft -> ctx map to ensure that the order is well-defined: - struct ggml_backend_buft_comparator { - bool operator()(const ggml_backend_buffer_type_t & lhs, const ggml_backend_buffer_type_t & rhs) const { - return strcmp(ggml_backend_buft_name(lhs), ggml_backend_buft_name(rhs)) < 0; - } - }; - std::map ctx_map; - - auto ctx_for_buft = [&](ggml_backend_buffer_type_t buft) -> ggml_context * { - auto it = ctx_map.find(buft); - if (it == ctx_map.end()) { - ggml_init_params params = { - /*.mem_size =*/ ctx_size, - /*.mem_buffer =*/ NULL, - /*.no_alloc =*/ true, - }; - - ggml_context * ctx = ggml_init(params); - if (!ctx) { - throw std::runtime_error(format("failed to create ggml context")); - } - - ctx_map.emplace(buft, ctx); - - return ctx; - } - return it->second.get(); - }; - - const auto TENSOR_DUPLICATED = llama_model_loader::TENSOR_DUPLICATED; - const auto TENSOR_NOT_REQUIRED = llama_model_loader::TENSOR_NOT_REQUIRED; - const auto TENSOR_SKIP = llama_model_loader::TENSOR_SKIP; + const auto TENSOR_DUPLICATED = llama_model_loader::TENSOR_DUPLICATED; + const auto TENSOR_NOT_REQUIRED = llama_model_loader::TENSOR_NOT_REQUIRED; + const auto TENSOR_SKIP = llama_model_loader::TENSOR_SKIP; + const auto TENSOR_SKIP_IF_VIRTUAL = llama_model_loader::TENSOR_SKIP_IF_VIRTUAL; // create tensors for the weights { @@ -2824,13 +2679,13 @@ bool llama_model::load_tensors(llama_model_loader & ml) { const int64_t n_embd = hparams.n_embd; const int64_t n_embd_k_gqa = hparams.n_embd_k_gqa(); const int64_t n_embd_v_gqa = hparams.n_embd_v_gqa(); - const int64_t n_embd_head_k = hparams.n_embd_head_k; - const int64_t n_embd_head_v = hparams.n_embd_head_v; + const int64_t n_embd_head_k = hparams.n_embd_head_k(); + const int64_t n_embd_head_v = hparams.n_embd_head_v(); const int64_t n_ff = hparams.n_ff(); const int64_t n_embd_gqa = n_embd_v_gqa; const int64_t n_vocab = vocab.n_tokens(); const int64_t n_token_types = vocab.n_token_types(); - const int64_t n_rot = hparams.n_rot; + const int64_t n_rot = hparams.n_rot(); const int64_t n_expert = hparams.n_expert; const int64_t n_expert_used = hparams.n_expert_used; const int64_t n_ctx_train = hparams.n_ctx_train; @@ -2839,147 +2694,11 @@ bool llama_model::load_tensors(llama_model_loader & ml) { throw std::runtime_error("model has expert layers but no expert layers are used"); } - int n_moved_tensors = 0; - ggml_tensor * first_moved_tensor = nullptr; - ggml_backend_buffer_type_t first_moved_from_buft = nullptr; - ggml_backend_buffer_type_t first_moved_to_buft = nullptr; - auto create_tensor = [&](const LLM_TN_IMPL & tn, const std::initializer_list & ne, int flags) -> ggml_tensor * { - ggml_tensor * t_meta = ml.get_tensor_meta(tn.str().c_str()); - - if (!t_meta) { - if (flags & TENSOR_NOT_REQUIRED) { - return nullptr; - } - throw std::runtime_error(format("missing tensor '%s'", tn.str().c_str())); - } - - // some models use the token embedding tensor as the output, but since these are used in different layers and with different ops - // the tensor is duplicated - // to handle this, we check if the tensor is duplicated, and if so, we assume that it is being loaded as the output tensor - llm_tensor tn_tensor = tn.tensor; - if (tn.tensor == LLM_TENSOR_TOKEN_EMBD && flags & TENSOR_DUPLICATED) { - tn_tensor = LLM_TENSOR_OUTPUT; - } - - llm_tensor_info info; - try { - info = llm_tensor_info_for(tn_tensor); - } catch (const std::out_of_range & e) { - throw std::runtime_error(format("missing tensor info mapping for %s", tn.str().c_str())); - } - - // skip unused tensors - if (info.op == GGML_OP_NONE || flags & TENSOR_SKIP) { - const size_t nbytes = ggml_nbytes(t_meta); - LLAMA_LOG_WARN("model has unused tensor %s (size = %zu bytes) -- ignoring\n", tn.str().c_str(), nbytes); - - ml.size_data -= nbytes; - ml.n_created++; - - return nullptr; - } - - // tensors with "bias" suffix are always used with GGML_OP_ADD or GGML_OP_ADD_ID - ggml_op op; - bool bias = tn.suffix != nullptr && strcmp(tn.suffix, "bias") == 0; - if (bias) { - if (info.op == GGML_OP_MUL_MAT_ID) { - op = GGML_OP_ADD_ID; - } else { - op = GGML_OP_ADD; - } - } else { - op = info.op; - } - - // sanity checks - if (info.layer == LLM_TENSOR_LAYER_INPUT || info.layer == LLM_TENSOR_LAYER_OUTPUT) { - if (tn.bid != -1) { - GGML_ABORT("input/output layer tensor %s used with a layer number", tn.str().c_str()); - } - } else { - if (tn.bid == -1) { - GGML_ABORT("repeating layer tensor %s used without a layer number", tn.str().c_str()); - } - } - - // select the buffer type for this tensor - buft_list_t * buft_list; - switch (info.layer) { - case LLM_TENSOR_LAYER_INPUT: - buft_list = pimpl->dev_input.buft_list; - break; - case LLM_TENSOR_LAYER_OUTPUT: - buft_list = pimpl->dev_output.buft_list; - break; - case LLM_TENSOR_LAYER_REPEATING: - buft_list = pimpl->dev_layer.at(tn.bid).buft_list; - break; - default: - GGML_ABORT("invalid layer %d for tensor %s", info.layer, tn.str().c_str()); - } - - ggml_backend_buffer_type_t buft = nullptr; - - // check overrides - if (ml.tensor_buft_overrides) { - std::string tensor_name = tn.str(); - for (const auto * overrides = ml.tensor_buft_overrides; overrides->pattern != nullptr; ++overrides) { - std::regex pattern(overrides->pattern); - if (std::regex_search(tensor_name, pattern)) { - if (overrides->buft == ggml_backend_cpu_buffer_type()) { - // when overriding to a CPU buffer, consider the extra buffer types - buft = select_weight_buft(hparams, t_meta, op, pimpl->cpu_buft_list); - } else { - buft = overrides->buft; - } - - LLAMA_LOG_DEBUG("tensor %s (%zu MiB %s) buffer type overridden to %s\n", - tensor_name.c_str(), - ggml_nbytes(t_meta) / 1024 / 1024, ggml_type_name(t_meta->type), - ggml_backend_buft_name(buft)); - break; - } - } - } - - if (!buft) { - buft = select_weight_buft(hparams, t_meta, op, *buft_list); - if (!buft) { - throw std::runtime_error(format("failed to find a compatible buffer type for tensor %s", tn.str().c_str())); - } - } - - // avoid using a host buffer when using mmap - auto * buft_dev = ggml_backend_buft_get_device(buft); - if (ml.use_mmap && buft_dev && buft == ggml_backend_dev_host_buffer_type(buft_dev)) { - auto * cpu_dev = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU); - if (!cpu_dev) { - throw std::runtime_error("no CPU backend found"); - } - buft = ggml_backend_dev_buffer_type(cpu_dev); - } - - if (buft != buft_list->front().second) { - n_moved_tensors++; - if (!first_moved_tensor) { - first_moved_tensor = t_meta; - first_moved_from_buft = buft_list->front().second; - first_moved_to_buft = buft; - } - } - - ggml_context * ctx = ctx_for_buft(buft); - - // if duplicated, check if the original tensor was allocated in the same buffer type context and avoid creating a new one - if (flags & TENSOR_DUPLICATED) { - ggml_tensor * t = ggml_get_tensor(ctx, tn.str().c_str()); - if (t) { - return t; - } - } - return ml.create_tensor(ctx, tn, ne, flags); + const buft_list_t * buft_list_layer = tn.bid == -1 ? nullptr : pimpl->dev_layer.at(tn.bid).buft_list; + return ml.create_tensor( + hparams, &pimpl->cpu_buft_list, pimpl->dev_input.buft_list, pimpl->dev_output.buft_list, buft_list_layer, + tn, ne, flags); }; layers.resize(n_layer); @@ -3148,6 +2867,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) { } break; case LLM_ARCH_LLAMA4: { + if (n_expert == 0) { + throw std::runtime_error(arch_name() + " model cannot have zero experts"); + } tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); // output @@ -3160,7 +2882,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) { } for (int i = 0; i < n_layer; ++i) { - bool is_moe_layer = hparams.n_moe_layer_step > 0 && (i + 1) % hparams.n_moe_layer_step == 0; + const bool is_moe_layer = hparams.n_moe_layer_step > 0 && (i + 1) % hparams.n_moe_layer_step == 0; auto & layer = layers[i]; @@ -3176,7 +2898,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) { layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); if (is_moe_layer) { - int n_ff_exp = hparams.n_ff_exp; + const int64_t n_ff_exp = hparams.n_ff_exp; layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); @@ -3263,8 +2985,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) { } break; case LLM_ARCH_MINICPM3: { - const int64_t n_embd_head_qk_rope = hparams.n_rot; - const int64_t n_embd_head_qk_nope = hparams.n_embd_head_k - hparams.n_rot; + const int64_t n_embd_head_qk_rope = hparams.n_rot(); + const int64_t n_embd_head_qk_nope = hparams.n_embd_head_k() - hparams.n_rot(); const int64_t q_lora_rank = hparams.n_lora_q; const int64_t kv_lora_rank = hparams.n_lora_kv; @@ -3307,7 +3029,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) { case LLM_ARCH_GROK: { if (n_expert == 0) { - throw std::runtime_error("Grok model cannot have zero experts"); + throw std::runtime_error(arch_name() + " model cannot have zero experts"); } tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); @@ -3479,6 +3201,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) { case LLM_ARCH_NOMIC_BERT_MOE: case LLM_ARCH_JINA_BERT_V3: { + if (n_token_types == 0) { + throw std::runtime_error(arch_name() + " model needs to define token type count"); + } tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); type_embd = create_tensor(tn(LLM_TENSOR_TOKEN_TYPES, "weight"), {n_embd, n_token_types}, TENSOR_NOT_REQUIRED); @@ -3745,8 +3470,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) { layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); - layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + // FIXME test-llama-archs crashes if q_norm is created + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); + layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); @@ -4132,8 +3858,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) { const int64_t dt_dim = std::max(64, int(hparams.n_embd / 16)); // attention parameters - const uint32_t qk_dim = hparams.n_embd_head_k; - const uint32_t v_dim = hparams.n_embd_head_v; + const uint32_t qk_dim = hparams.n_embd_head_k(); + const uint32_t v_dim = hparams.n_embd_head_v(); tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); @@ -4193,8 +3919,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) { } break; case LLM_ARCH_PLAMO3: { - const int64_t head_dim_q = hparams.n_embd_head_k; - const int64_t head_dim_v = hparams.n_embd_head_v; + const int64_t head_dim_q = hparams.n_embd_head_k(); + const int64_t head_dim_v = hparams.n_embd_head_v(); tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); @@ -4941,7 +4667,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) { } break; case LLM_ARCH_SEED_OSS: { - const uint32_t head_dim = hparams.n_embd_head_k; + const uint32_t head_dim = hparams.n_embd_head_k(); const int64_t n_qo_dim = n_head * head_dim; const int64_t n_kv_dim = n_head_kv * head_dim; @@ -5163,6 +4889,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) { } } break; case LLM_ARCH_DEEPSEEK2: + case LLM_ARCH_MISTRAL4: { const bool is_mla = hparams.is_mla(); @@ -5170,8 +4897,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) { const int64_t n_embd_head_k_mla = hparams.n_embd_head_k_mla(); const int64_t n_embd_head_v_mla = hparams.n_embd_head_v_mla(); - const int64_t n_embd_head_qk_rope = hparams.n_rot; + const int64_t n_embd_head_qk_rope = hparams.n_rot(); const int64_t n_embd_head_qk_nope = n_embd_head_k_mla - n_embd_head_qk_rope; + GGML_ASSERT(n_embd_head_qk_nope >= 1); const int64_t q_lora_rank = hparams.n_lora_q; const int64_t kv_lora_rank = hparams.n_lora_kv; @@ -5248,8 +4976,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) { } break; case LLM_ARCH_PLM: { - const int64_t n_embd_head_qk_rope = hparams.n_rot; - const int64_t n_embd_head_qk_nope = hparams.n_embd_head_k - hparams.n_rot; + const int64_t n_embd_head_qk_rope = hparams.n_rot(); + const int64_t n_embd_head_qk_nope = hparams.n_embd_head_k() - hparams.n_rot(); const int64_t kv_lora_rank = hparams.n_lora_kv; tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); @@ -5289,23 +5017,23 @@ bool llama_model::load_tensors(llama_model_loader & ml) { layer.attn_sub_norm = create_tensor(tn(LLM_TENSOR_ATTN_SUB_NORM, "weight", i), {n_embd}, 0); layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, 0); - layer.wq_scale = create_tensor(tn(LLM_TENSOR_ATTN_Q, "scale", i), {1}, TENSOR_NOT_REQUIRED); + layer.wq_s = create_tensor(tn(LLM_TENSOR_ATTN_Q, "scale", i), {1}, TENSOR_NOT_REQUIRED); layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_gqa}, 0); - layer.wk_scale = create_tensor(tn(LLM_TENSOR_ATTN_K, "scale", i), {1}, TENSOR_NOT_REQUIRED); + layer.wk_s = create_tensor(tn(LLM_TENSOR_ATTN_K, "scale", i), {1}, TENSOR_NOT_REQUIRED); layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_gqa}, 0); - layer.wv_scale = create_tensor(tn(LLM_TENSOR_ATTN_V, "scale", i), {1}, TENSOR_NOT_REQUIRED); + layer.wv_s = create_tensor(tn(LLM_TENSOR_ATTN_V, "scale", i), {1}, TENSOR_NOT_REQUIRED); layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); - layer.wo_scale = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "scale", i), {1}, TENSOR_NOT_REQUIRED); + layer.wo_s = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "scale", i), {1}, TENSOR_NOT_REQUIRED); layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0); layer.ffn_sub_norm = create_tensor(tn(LLM_TENSOR_FFN_SUB_NORM, "weight", i), {n_ff}, 0); layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_gate_scale = create_tensor(tn(LLM_TENSOR_FFN_GATE, "scale", i), {1}, TENSOR_NOT_REQUIRED); + layer.ffn_gate_s = create_tensor(tn(LLM_TENSOR_FFN_GATE, "scale", i), {1}, TENSOR_NOT_REQUIRED); layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0); - layer.ffn_down_scale = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "scale", i), {1}, TENSOR_NOT_REQUIRED); + layer.ffn_down_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "scale", i), {1}, TENSOR_NOT_REQUIRED); layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); - layer.ffn_up_scale = create_tensor(tn(LLM_TENSOR_FFN_UP, "scale", i), {1}, TENSOR_NOT_REQUIRED); + layer.ffn_up_s = create_tensor(tn(LLM_TENSOR_FFN_UP, "scale", i), {1}, TENSOR_NOT_REQUIRED); } } break; case LLM_ARCH_T5: @@ -5363,7 +5091,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) { layer.attn_norm_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_NORM, "weight", i), {n_embd}, 0); // this tensor seems to be unused in HF transformers implementation - layer.attn_rel_b_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED); + layer.attn_rel_b_cross = create_tensor( + tn(LLM_TENSOR_DEC_CROSS_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); layer.wq_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_Q, "weight", i), {n_embd, n_embd_k_gqa}, 0); layer.wk_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_K, "weight", i), {n_embd, n_embd_k_gqa}, 0); @@ -5686,7 +5415,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) { const int64_t n_embd_head_k_mla = hparams.n_embd_head_k_mla(); const int64_t n_embd_head_v_mla = hparams.n_embd_head_v_mla(); - const int64_t n_embd_head_qk_rope = hparams.n_rot; + const int64_t n_embd_head_qk_rope = hparams.n_rot(); const int64_t n_embd_head_qk_nope = n_embd_head_k_mla - n_embd_head_qk_rope; const int64_t q_lora_rank = hparams.n_lora_q; @@ -5825,6 +5554,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) { const int64_t n_ssm_head = hparams.ssm_dt_rank; const int64_t n_group = hparams.ssm_n_group; const int64_t d_in_proj = 2*d_inner + 2*n_group*d_state + n_ssm_head; + const int64_t moe_n_embd = hparams.moe_latent_size > 0 ? hparams.moe_latent_size : n_embd; // embeddings tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); @@ -5884,8 +5614,11 @@ bool llama_model::load_tensors(llama_model_loader & ml) { layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert }, 0); // MoE branch - layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0); - layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}, 0); + layer.ffn_latent_down = create_tensor(tn(LLM_TENSOR_FFN_LATENT_DOWN, "weight", i), {n_embd, moe_n_embd}, TENSOR_NOT_REQUIRED); + layer.ffn_latent_up = create_tensor(tn(LLM_TENSOR_FFN_LATENT_UP, "weight", i), {moe_n_embd, n_embd}, TENSOR_NOT_REQUIRED); + + layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, moe_n_embd, n_expert}, 0); + layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {moe_n_embd, n_ff_exp, n_expert}, 0); // Shared expert branch layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, 0); @@ -5969,8 +5702,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) { const int64_t n_ff_exp = hparams.n_ff_exp; const int64_t n_expert = hparams.n_expert; const int64_t n_expert_used = hparams.n_expert_used; - const int64_t n_ff_shexp = hparams.n_ff_shexp; - const int64_t head_dim = hparams.n_embd_head_k; + const int64_t n_ff_shexp = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : n_ff_exp; + const int64_t head_dim = hparams.n_embd_head_k(); const int64_t n_qo_dim = n_head * head_dim; const int64_t n_kv_dim = n_head_kv * head_dim; @@ -6830,6 +6563,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) { for (int i = 0; i < n_layer; ++i) { auto & layer = layers[i]; + const uint32_t n_ff_shexp = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : hparams.n_ff(i); layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); @@ -6848,9 +6582,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) { layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0); + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_shexp}, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, 0); } } break; case LLM_ARCH_HUNYUAN_DENSE: @@ -7186,15 +6920,14 @@ bool llama_model::load_tensors(llama_model_loader & ml) { const int64_t n_embd_head_v_kda = hparams.n_embd_head_kda; const int64_t ssm_d_conv = hparams.ssm_d_conv; - // Try loading KDA specific tensors (using SSM_ prefix) - // Conv1d weights: try 4D first, then 3D (quantization may remove trailing 1) - // 4D: [d_conv, 1, d_inner, 1], 3D: [d_conv, 1, d_inner] - layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head, 1}, TENSOR_NOT_REQUIRED); - if (!layer.ssm_q_conv) { - layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head}, TENSOR_NOT_REQUIRED); - } + if (hparams.is_recurrent(i)) { + // Conv1d weights: try 4D first, then 3D (quantization may remove trailing 1) + // 4D: [d_conv, 1, d_inner, 1], 3D: [d_conv, 1, d_inner] + layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head, 1}, TENSOR_NOT_REQUIRED); + if (!layer.ssm_q_conv) { + layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head}, 0); + } - if (layer.ssm_q_conv) { // KDA Layer - Conv1d weights may be 3D or 4D layer.ssm_k_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_K, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head, 1}, TENSOR_NOT_REQUIRED); if (!layer.ssm_k_conv) { @@ -7258,10 +6991,11 @@ bool llama_model::load_tensors(llama_model_loader & ml) { // Kimi: qk_rope_head_dim = 64 (actual RoPE dimension for MLA) // Note: hparams.n_rot may be 72 (from conversion) but actual is 64 - const int64_t qk_rope_head_dim = hparams.n_rot; // From config: qk_rope_head_dim + const int64_t qk_rope_head_dim = hparams.n_rot(); // From config: qk_rope_head_dim layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + qk_rope_head_dim}, 0); // Support Legacy GGUFs that don't split wkv_b (MLA KV cache disabled) - layer.wkv_b = create_tensor(tn(LLM_TENSOR_ATTN_KV_B, "weight", i), {kv_lora_rank, n_head * (n_embd_head_k_mla - qk_rope_head_dim + n_embd_head_v_mla)}, TENSOR_NOT_REQUIRED); + layer.wkv_b = create_tensor(tn(LLM_TENSOR_ATTN_KV_B, "weight", i), + {kv_lora_rank, n_head * (n_embd_head_k_mla - qk_rope_head_dim + n_embd_head_v_mla)}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); if (!layer.wkv_b) { // MLA KV cache enabled layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K_B, "weight", i), {n_embd_head_k_mla - qk_rope_head_dim, kv_lora_rank, n_head}, 0); layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V_B, "weight", i), {kv_lora_rank, n_embd_head_v_mla, n_head}, 0); @@ -7381,6 +7115,10 @@ bool llama_model::load_tensors(llama_model_loader & ml) { } break; case LLM_ARCH_QWEN3NEXT: { + if (n_expert == 0) { + throw std::runtime_error(arch_name() + " model cannot have zero experts"); + } + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); // output @@ -7409,6 +7147,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) { for (int i = 0; i < n_layer; ++i) { auto & layer = layers[i]; + const uint32_t n_ff_shexp = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : hparams.n_ff(i); layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), { n_embd }, 0); @@ -7444,9 +7183,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) { // Shared experts layer.ffn_gate_inp_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP_SHEXP, "weight", i), { n_embd }, 0); - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), { n_embd, hparams.n_ff_shexp }, 0); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), { n_embd, hparams.n_ff_shexp }, 0); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { hparams.n_ff_shexp, n_embd }, 0); + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), { n_embd, n_ff_shexp }, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), { n_embd, n_ff_shexp }, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_shexp, n_embd }, 0); } } break; case LLM_ARCH_QWEN35MOE: @@ -7623,7 +7362,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) { // ("rope_freqs.weight") and ggml uses only the first (n_rot_l/2) entries per layer. uint32_t n_rot_max = 0; for (int i = 0; i < n_layer; ++i) { - n_rot_max = std::max(n_rot_max, hparams.n_rot); + n_rot_max = std::max(n_rot_max, hparams.n_rot(i)); } if (n_rot_max == 0) { n_rot_max = n_rot; @@ -7712,10 +7451,75 @@ bool llama_model::load_tensors(llama_model_loader & ml) { throw std::runtime_error("unknown architecture"); } - if (n_moved_tensors > 0) { - LLAMA_LOG_DEBUG("%s: tensor '%s' (%s) (and %d others) cannot be used with preferred buffer type %s, using %s instead\n", - __func__, first_moved_tensor->name, ggml_type_name(first_moved_tensor->type), n_moved_tensors - 1, - ggml_backend_buft_name(first_moved_from_buft), ggml_backend_buft_name(first_moved_to_buft)); + // generic pass: load optional per-tensor/per-expert ".scale" tensors (e.g. NVFP4 scale2) + // this avoids having to add scale loading to every architecture + for (int i = 0; i < n_layer; ++i) { + auto & layer = layers[i]; + + // attention weight scales (per-tensor, shape {1}) + if (!layer.wq_s && layer.wq) { + layer.wq_s = create_tensor(tn(LLM_TENSOR_ATTN_Q, "scale", i), {1}, TENSOR_NOT_REQUIRED); + } + if (!layer.wk_s && layer.wk) { + layer.wk_s = create_tensor(tn(LLM_TENSOR_ATTN_K, "scale", i), {1}, TENSOR_NOT_REQUIRED); + } + if (!layer.wv_s && layer.wv) { + layer.wv_s = create_tensor(tn(LLM_TENSOR_ATTN_V, "scale", i), {1}, TENSOR_NOT_REQUIRED); + } + if (!layer.wo_s && layer.wo) { + layer.wo_s = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "scale", i), {1}, TENSOR_NOT_REQUIRED); + } + if (!layer.wqkv_s && layer.wqkv) { + layer.wqkv_s = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "scale", i), {1}, TENSOR_NOT_REQUIRED); + } + if (!layer.wqkv_gate_s && layer.wqkv_gate) { + layer.wqkv_gate_s = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "scale", i), {1}, TENSOR_NOT_REQUIRED); + } + + // dense FFN weight scales (per-tensor, shape {1}) + if (!layer.ffn_gate_s && layer.ffn_gate) { + layer.ffn_gate_s = create_tensor(tn(LLM_TENSOR_FFN_GATE, "scale", i), {1}, TENSOR_NOT_REQUIRED); + } + if (!layer.ffn_down_s && layer.ffn_down) { + layer.ffn_down_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "scale", i), {1}, TENSOR_NOT_REQUIRED); + } + if (!layer.ffn_up_s && layer.ffn_up) { + layer.ffn_up_s = create_tensor(tn(LLM_TENSOR_FFN_UP, "scale", i), {1}, TENSOR_NOT_REQUIRED); + } + if (!layer.ffn_gate_shexp_s && layer.ffn_gate_shexp) { + layer.ffn_gate_shexp_s = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "scale", i), {1}, TENSOR_NOT_REQUIRED); + } + if (!layer.ffn_down_shexp_s && layer.ffn_down_shexp) { + layer.ffn_down_shexp_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "scale", i), {1}, TENSOR_NOT_REQUIRED); + } + if (!layer.ffn_up_shexp_s && layer.ffn_up_shexp) { + layer.ffn_up_shexp_s = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "scale", i), {1}, TENSOR_NOT_REQUIRED); + } + + // MoE expert weight scales (per-expert, shape {n_expert}) + if (!layer.ffn_gate_exps_s && layer.ffn_gate_exps) { + layer.ffn_gate_exps_s = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "scale", i), {n_expert}, TENSOR_NOT_REQUIRED); + } + if (!layer.ffn_down_exps_s && layer.ffn_down_exps) { + layer.ffn_down_exps_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "scale", i), {n_expert}, TENSOR_NOT_REQUIRED); + } + if (!layer.ffn_up_exps_s && layer.ffn_up_exps) { + layer.ffn_up_exps_s = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "scale", i), {n_expert}, TENSOR_NOT_REQUIRED); + } + + // recurrent / linear-attention weight scales (per-tensor, shape {1}) + if (!layer.ssm_in_s && layer.ssm_in) { + layer.ssm_in_s = create_tensor(tn(LLM_TENSOR_SSM_IN, "scale", i), {1}, TENSOR_NOT_REQUIRED); + } + if (!layer.ssm_out_s && layer.ssm_out) { + layer.ssm_out_s = create_tensor(tn(LLM_TENSOR_SSM_OUT, "scale", i), {1}, TENSOR_NOT_REQUIRED); + } + if (!layer.ssm_alpha_s && layer.ssm_alpha) { + layer.ssm_alpha_s = create_tensor(tn(LLM_TENSOR_SSM_ALPHA, "scale", i), {1}, TENSOR_NOT_REQUIRED); + } + if (!layer.ssm_beta_s && layer.ssm_beta) { + layer.ssm_beta_s = create_tensor(tn(LLM_TENSOR_SSM_BETA, "scale", i), {1}, TENSOR_NOT_REQUIRED); + } } } @@ -7726,13 +7530,13 @@ bool llama_model::load_tensors(llama_model_loader & ml) { // create the backend buffers std::vector> ctx_buf_maps; - ctx_buf_maps.reserve(ctx_map.size()); + ctx_buf_maps.reserve(ml.ctx_map.size()); // Ensure we have enough capacity for the maximum backend buffer we will potentially create - const size_t n_max_backend_buffer = ctx_map.size() * ml.files.size(); + const size_t n_max_backend_buffer = ml.ctx_map.size() * ml.files.size(); pimpl->ctxs_bufs.reserve(n_max_backend_buffer); - for (auto & [buft, ctx_ptr] : ctx_map) { + for (auto & [buft, ctx_ptr] : ml.ctx_map) { ggml_context * ctx = ctx_ptr.get(); // skip contexts without tensors @@ -7964,11 +7768,11 @@ void llama_model::print_info() const { LLAMA_LOG_INFO("%s: n_layer = %u\n", __func__, hparams.n_layer); LLAMA_LOG_INFO("%s: n_head = %s\n", __func__, print_f([&](uint32_t il) { return hparams.n_head(il); }, hparams.n_layer).c_str()); LLAMA_LOG_INFO("%s: n_head_kv = %s\n", __func__, print_f([&](uint32_t il) { return hparams.n_head_kv(il); }, hparams.n_layer).c_str()); - LLAMA_LOG_INFO("%s: n_rot = %u\n", __func__, hparams.n_rot); + LLAMA_LOG_INFO("%s: n_rot = %u\n", __func__, hparams.n_rot_full); LLAMA_LOG_INFO("%s: n_swa = %u\n", __func__, hparams.n_swa); LLAMA_LOG_INFO("%s: is_swa_any = %u\n", __func__, hparams.is_swa_any()); - LLAMA_LOG_INFO("%s: n_embd_head_k = %u\n", __func__, hparams.n_embd_head_k); - LLAMA_LOG_INFO("%s: n_embd_head_v = %u\n", __func__, hparams.n_embd_head_v); + LLAMA_LOG_INFO("%s: n_embd_head_k = %u\n", __func__, hparams.n_embd_head_k_full); + LLAMA_LOG_INFO("%s: n_embd_head_v = %u\n", __func__, hparams.n_embd_head_v_full); LLAMA_LOG_INFO("%s: n_gqa = %s\n", __func__, print_f([&](uint32_t il) { return hparams.n_gqa(il); }, hparams.n_layer).c_str()); LLAMA_LOG_INFO("%s: n_embd_k_gqa = %s\n", __func__, print_f([&](uint32_t il) { return hparams.n_embd_k_gqa(il); }, hparams.n_layer).c_str()); LLAMA_LOG_INFO("%s: n_embd_v_gqa = %s\n", __func__, print_f([&](uint32_t il) { return hparams.n_embd_v_gqa(il); }, hparams.n_layer).c_str()); @@ -7992,6 +7796,9 @@ void llama_model::print_info() const { if (hparams.swa_type != LLAMA_SWA_TYPE_NONE) { LLAMA_LOG_INFO("%s: freq_base_swa = %.1f\n", __func__, hparams.rope_freq_base_train_swa); LLAMA_LOG_INFO("%s: freq_scale_swa = %g\n", __func__, hparams.rope_freq_scale_train_swa); + LLAMA_LOG_INFO("%s: n_embd_head_k_swa = %u\n", __func__, hparams.n_embd_head_k_swa); + LLAMA_LOG_INFO("%s: n_embd_head_v_swa = %u\n", __func__, hparams.n_embd_head_v_swa); + LLAMA_LOG_INFO("%s: n_rot_swa = %u\n", __func__, hparams.n_rot_swa); } LLAMA_LOG_INFO("%s: n_ctx_orig_yarn = %u\n", __func__, hparams.n_ctx_orig_yarn); LLAMA_LOG_INFO("%s: rope_yarn_log_mul = %.4f\n", __func__, hparams.rope_yarn_log_mul); @@ -8050,7 +7857,7 @@ void llama_model::print_info() const { LLAMA_LOG_INFO("%s: expert_weights_scale = %.1f\n", __func__, hparams.expert_weights_scale); } - if (arch == LLM_ARCH_DEEPSEEK2 || arch == LLM_ARCH_GLM_DSA) { + if (arch == LLM_ARCH_DEEPSEEK2 || arch == LLM_ARCH_GLM_DSA || arch == LLM_ARCH_MISTRAL4) { LLAMA_LOG_INFO("%s: n_layer_dense_lead = %d\n", __func__, hparams.n_layer_dense_lead); LLAMA_LOG_INFO("%s: n_lora_q = %d\n", __func__, hparams.n_lora_q); LLAMA_LOG_INFO("%s: n_lora_kv = %d\n", __func__, hparams.n_lora_kv); @@ -8628,6 +8435,7 @@ ggml_cgraph * llama_model::build_graph(const llm_graph_params & params) const { } break; case LLM_ARCH_DEEPSEEK2: case LLM_ARCH_GLM_DSA: + case LLM_ARCH_MISTRAL4: { llm = std::make_unique(*this, params); } break; @@ -9039,6 +8847,7 @@ llama_rope_type llama_model_rope_type(const llama_model * model) { case LLM_ARCH_ERNIE4_5: case LLM_ARCH_ERNIE4_5_MOE: case LLM_ARCH_MISTRAL3: + case LLM_ARCH_MISTRAL4: case LLM_ARCH_LLAMA_EMBED: case LLM_ARCH_MAINCODER: case LLM_ARCH_GLM_DSA: diff --git a/src/llama-model.h b/src/llama-model.h index 5ecb8344a2..aefcfe700f 100644 --- a/src/llama-model.h +++ b/src/llama-model.h @@ -126,6 +126,7 @@ enum llm_type { LLM_TYPE_100B_A6B, LLM_TYPE_102B_A12B, // Solar-Open LLM_TYPE_106B_A12B, // GLM-4.5-Air + LLM_TYPE_120B_A12B, // Nemotron 3 Super LLM_TYPE_122B_A10B, // Qwen3.5 LLM_TYPE_196B_A11B, // Step3.5-Flash LLM_TYPE_230B_A10B, // Minimax M2 @@ -294,6 +295,15 @@ struct llama_layer { struct ggml_tensor * ffn_up_exps_b = nullptr; struct ggml_tensor * ffn_gate_up_exps_b = nullptr; + // ff MoE per-expert scales (NVFP4 per-tensor scale2) + struct ggml_tensor * ffn_gate_exps_s = nullptr; + struct ggml_tensor * ffn_down_exps_s = nullptr; + struct ggml_tensor * ffn_up_exps_s = nullptr; + + // ff MoE latent proj + struct ggml_tensor * ffn_latent_down = nullptr; + struct ggml_tensor * ffn_latent_up = nullptr; + // ff shared expert (shexp) struct ggml_tensor * ffn_gate_inp_shexp = nullptr; struct ggml_tensor * ffn_gate_shexp = nullptr; @@ -387,13 +397,22 @@ struct llama_layer { struct ggml_tensor * rope_freqs = nullptr; // bitnet scale - struct ggml_tensor * wq_scale = nullptr; - struct ggml_tensor * wk_scale = nullptr; - struct ggml_tensor * wv_scale = nullptr; - struct ggml_tensor * wo_scale = nullptr; - struct ggml_tensor * ffn_gate_scale = nullptr; - struct ggml_tensor * ffn_up_scale = nullptr; - struct ggml_tensor * ffn_down_scale = nullptr; + struct ggml_tensor * wq_s = nullptr; + struct ggml_tensor * wk_s = nullptr; + struct ggml_tensor * wv_s = nullptr; + struct ggml_tensor * wo_s = nullptr; + struct ggml_tensor * wqkv_s = nullptr; + struct ggml_tensor * wqkv_gate_s = nullptr; + struct ggml_tensor * ffn_gate_s = nullptr; + struct ggml_tensor * ffn_up_s = nullptr; + struct ggml_tensor * ffn_down_s = nullptr; + struct ggml_tensor * ffn_gate_shexp_s = nullptr; + struct ggml_tensor * ffn_up_shexp_s = nullptr; + struct ggml_tensor * ffn_down_shexp_s = nullptr; + struct ggml_tensor * ssm_in_s = nullptr; + struct ggml_tensor * ssm_out_s = nullptr; + struct ggml_tensor * ssm_alpha_s = nullptr; + struct ggml_tensor * ssm_beta_s = nullptr; // altup & laurel struct ggml_tensor * per_layer_inp_gate = nullptr; diff --git a/src/llama-quant.cpp b/src/llama-quant.cpp index 24770430e1..8e8ce23124 100644 --- a/src/llama-quant.cpp +++ b/src/llama-quant.cpp @@ -1,11 +1,11 @@ -#include "llama-quant.h" +#include "llama.h" #include "llama-impl.h" #include "llama-model.h" #include "llama-model-loader.h" -#include #include #include +#include #include #include #include @@ -13,10 +13,28 @@ #include #include -// Quantization types. Changes to this struct must be replicated in quantize.cpp -struct tensor_quantization { +// result of parsing --tensor-type option +// (changes to this struct must be reflected in tools/quantize/quantize.cpp) +struct tensor_type_option { std::string name; - ggml_type quant = GGML_TYPE_COUNT; + ggml_type type = GGML_TYPE_COUNT; +}; + +// tensor categorization - used to avoid repeated string matching in quantization logic. +// this is different from LLM_TN - we want broad categories, not specific tensor names per arch. +enum class tensor_category { + TOKEN_EMBD, + ATTENTION_Q, + ATTENTION_V, + ATTENTION_K, + ATTENTION_QKV, + ATTENTION_KV_B, + ATTENTION_OUTPUT, + FFN_UP, + FFN_GATE, + FFN_DOWN, + OUTPUT, + OTHER }; static void zeros(std::ofstream & file, size_t n) { @@ -54,7 +72,7 @@ static std::string remap_layer(const std::string & orig_name, const std::vector< return orig_name; } -static std::string remap_imatrix (const std::string & orig_name, const std::map & mapped) { +static std::string remap_imatrix(const std::string & orig_name, const std::map & mapped) { if (mapped.empty()) { return orig_name; } @@ -76,6 +94,73 @@ static std::string remap_imatrix (const std::string & orig_name, const std::map< return orig_name; } +// +// helper functions for tensor name matching +// + +static bool tensor_name_match_token_embd(const char * tensor_name) { + return std::strcmp(tensor_name, "token_embd.weight") == 0 || + std::strcmp(tensor_name, "per_layer_token_embd.weight") == 0; +} + +static bool tensor_name_match_output_weight(const char * tensor_name) { + return std::strcmp(tensor_name, "output.weight") == 0; +} + +// +// tensor categorization for quantization +// +// (this is different from LLM_TN - we want broad categories, not specific tensor names per arch) +// + +static tensor_category tensor_get_category(const std::string & tensor_name) { + if (tensor_name_match_output_weight(tensor_name.c_str())) { + return tensor_category::OUTPUT; + } + if (tensor_name_match_token_embd(tensor_name.c_str())) { + return tensor_category::TOKEN_EMBD; + } + if (tensor_name.find("attn_qkv.weight") != std::string::npos) { + return tensor_category::ATTENTION_QKV; + } + if (tensor_name.find("attn_kv_b.weight") != std::string::npos) { + return tensor_category::ATTENTION_KV_B; + } + if (tensor_name.find("attn_v.weight") != std::string::npos) { + return tensor_category::ATTENTION_V; + } + if (tensor_name.find("attn_k.weight") != std::string::npos) { + return tensor_category::ATTENTION_K; + } + if (tensor_name.find("attn_q.weight") != std::string::npos) { + return tensor_category::ATTENTION_Q; + } + if (tensor_name.find("attn_output.weight") != std::string::npos) { + return tensor_category::ATTENTION_OUTPUT; + } + if (tensor_name.find("ffn_up") != std::string::npos) { + return tensor_category::FFN_UP; + } + if (tensor_name.find("ffn_gate") != std::string::npos) { + return tensor_category::FFN_GATE; + } + if (tensor_name.find("ffn_down") != std::string::npos) { + return tensor_category::FFN_DOWN; + } + return tensor_category::OTHER; +} + +// check if category is for attention-v-like tensors (more sensitive to quantization) +static bool category_is_attn_v(tensor_category cat) { + return cat == tensor_category::ATTENTION_V || + cat == tensor_category::ATTENTION_QKV || + cat == tensor_category::ATTENTION_KV_B; +} + +// +// quantization state +// + struct quantize_state_impl { const llama_model & model; const llama_model_quantize_params * params; @@ -89,20 +174,42 @@ struct quantize_state_impl { int i_ffn_gate = 0; int i_ffn_up = 0; - int n_k_quantized = 0; int n_fallback = 0; bool has_imatrix = false; - // used to figure out if a model shares tok_embd with the output weight - bool has_output = false; + // used to figure out if a model has tied embeddings (tok_embd shares weights with output) + bool has_tied_embeddings = true; // assume tied until we see output.weight - quantize_state_impl(const llama_model & model, const llama_model_quantize_params * params) - : model(model) - , params(params) - {} + // tensor type override patterns (compiled once, used twice) + std::vector> tensor_type_patterns; + + quantize_state_impl(const llama_model & model, const llama_model_quantize_params * params): + model(model), params(params) + { + // compile regex patterns once - they are expensive + if (params->tensor_types) { + const auto & tensor_types = *static_cast *>(params->tensor_types); + for (const auto & [tname, qtype] : tensor_types) { + tensor_type_patterns.emplace_back(std::regex(tname), qtype); + } + } + } }; +// per-tensor metadata, computed in the preliminary loop and used in the main loop +struct tensor_metadata { + ggml_type target_type; + tensor_category category; + std::string remapped_imatrix_name; + bool allows_quantization; + bool requires_imatrix; +}; + +// +// dequantization +// + static void llama_tensor_dequantize_impl( ggml_tensor * tensor, std::vector> & output, std::vector & workers, const size_t nelements, const int nthread @@ -175,12 +282,132 @@ static void llama_tensor_dequantize_impl( workers.clear(); } -static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_type, const ggml_tensor * tensor, llama_ftype ftype) { +// +// do we allow this tensor to be quantized? +// + +static bool tensor_allows_quantization(const llama_model_quantize_params * params, llm_arch arch, const ggml_tensor * tensor) { + // trivial checks first -- no string ops needed + if (params->only_copy) return false; + + // quantize only 2D and 3D tensors (experts) + if (ggml_n_dims(tensor) < 2) return false; + + const std::string name = ggml_get_name(tensor); + + // This used to be a regex, but has an extreme cost to compile times. + bool quantize = name.rfind("weight") == name.size() - 6; // ends with 'weight'? + + // do not quantize norm tensors + quantize &= name.find("_norm.weight") == std::string::npos; + + quantize &= params->quantize_output_tensor || name != "output.weight"; + + // do not quantize expert gating tensors + // NOTE: can't use LLM_TN here because the layer number is not known + quantize &= name.find("ffn_gate_inp.weight") == std::string::npos; + + // these are very small (e.g. 4x4) + quantize &= name.find("altup") == std::string::npos; + quantize &= name.find("laurel") == std::string::npos; + + // these are not too big so keep them as it is + quantize &= name.find("per_layer_model_proj") == std::string::npos; + + // do not quantize positional embeddings and token types (BERT) + quantize &= name != LLM_TN(arch)(LLM_TENSOR_POS_EMBD, "weight"); + quantize &= name != LLM_TN(arch)(LLM_TENSOR_TOKEN_TYPES, "weight"); + + // do not quantize Mamba/Kimi's small conv1d weights + // NOTE: can't use LLM_TN here because the layer number is not known + quantize &= name.find("ssm_conv1d") == std::string::npos; + quantize &= name.find("shortconv.conv.weight") == std::string::npos; + + // do not quantize RWKV's small yet 2D weights + quantize &= name.find("time_mix_first.weight") == std::string::npos; + quantize &= name.find("time_mix_w0.weight") == std::string::npos; + quantize &= name.find("time_mix_w1.weight") == std::string::npos; + quantize &= name.find("time_mix_w2.weight") == std::string::npos; + quantize &= name.find("time_mix_v0.weight") == std::string::npos; + quantize &= name.find("time_mix_v1.weight") == std::string::npos; + quantize &= name.find("time_mix_v2.weight") == std::string::npos; + quantize &= name.find("time_mix_a0.weight") == std::string::npos; + quantize &= name.find("time_mix_a1.weight") == std::string::npos; + quantize &= name.find("time_mix_a2.weight") == std::string::npos; + quantize &= name.find("time_mix_g1.weight") == std::string::npos; + quantize &= name.find("time_mix_g2.weight") == std::string::npos; + quantize &= name.find("time_mix_decay_w1.weight") == std::string::npos; + quantize &= name.find("time_mix_decay_w2.weight") == std::string::npos; + quantize &= name.find("time_mix_lerp_fused.weight") == std::string::npos; + + // do not quantize relative position bias (T5) + quantize &= name.find("attn_rel_b.weight") == std::string::npos; + + // do not quantize specific multimodal tensors + quantize &= name.find(".position_embd.") == std::string::npos; + + return quantize; +} + +// +// tensor type selection +// + +// incompatible tensor shapes are handled here - fallback to a compatible type +static ggml_type tensor_type_fallback(quantize_state_impl & qs, const ggml_tensor * t, const ggml_type target_type) { + ggml_type return_type = target_type; + + const int64_t ncols = t->ne[0]; + const int64_t qk_k = ggml_blck_size(target_type); + + if (ncols % qk_k != 0) { // this tensor's shape is incompatible with this quant + LLAMA_LOG_WARN("warning: %-36s - ncols %6" PRId64 " not divisible by %3" PRId64 " (required for type %7s) ", + t->name, ncols, qk_k, ggml_type_name(target_type)); + ++qs.n_fallback; + + switch (target_type) { + // types on the left: block size 256 + case GGML_TYPE_IQ1_S: + case GGML_TYPE_IQ1_M: + case GGML_TYPE_IQ2_XXS: + case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ2_S: + case GGML_TYPE_IQ3_XXS: + case GGML_TYPE_IQ3_S: // types on the right: block size 32 + case GGML_TYPE_IQ4_XS: return_type = GGML_TYPE_IQ4_NL; break; + case GGML_TYPE_Q2_K: + case GGML_TYPE_Q3_K: + case GGML_TYPE_TQ1_0: + case GGML_TYPE_TQ2_0: return_type = GGML_TYPE_Q4_0; break; + case GGML_TYPE_Q4_K: return_type = GGML_TYPE_Q5_0; break; + case GGML_TYPE_Q5_K: return_type = GGML_TYPE_Q5_1; break; + case GGML_TYPE_Q6_K: return_type = GGML_TYPE_Q8_0; break; + default: + throw std::runtime_error(format("no tensor type fallback is defined for type %s", + ggml_type_name(target_type))); + } + if (ncols % ggml_blck_size(return_type) != 0) { + // + // the fallback return type is still not compatible for this tensor! + // + // most likely, this tensor's first dimension is not divisible by 32. + // this is very rare. we can either abort the quantization, or + // fallback to F16 / F32. + // + LLAMA_LOG_WARN("(WARNING: must use F16 due to unusual shape) "); + return_type = GGML_TYPE_F16; + } + LLAMA_LOG_WARN("-> falling back to %7s\n", ggml_type_name(return_type)); + } + return return_type; +} + +// internal standard logic for selecting the target tensor type based on tensor category, ftype, and model arch +static ggml_type llama_tensor_get_type_impl(quantize_state_impl & qs, ggml_type new_type, const ggml_tensor * tensor, llama_ftype ftype, tensor_category category) { const std::string name = ggml_get_name(tensor); // TODO: avoid hardcoded tensor names - use the TN_* constants const llm_arch arch = qs.model.arch; - const auto tn = LLM_TN(arch); auto use_more_bits = [](int i_layer, int n_layers) -> bool { return i_layer < n_layers/8 || i_layer >= 7*n_layers/8 || (i_layer - n_layers/8)%3 == 2; @@ -204,7 +431,7 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t // for arches that share the same tensor between the token embeddings and the output, we quantize the token embeddings // with the quantization of the output tensor - if (name == tn(LLM_TENSOR_OUTPUT, "weight") || (!qs.has_output && name == tn(LLM_TENSOR_TOKEN_EMBD, "weight"))) { + if (category == tensor_category::OUTPUT || (qs.has_tied_embeddings && category == tensor_category::TOKEN_EMBD)) { if (qs.params->output_tensor_type < GGML_TYPE_COUNT) { new_type = qs.params->output_tensor_type; } else { @@ -234,7 +461,7 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t } else { new_type = GGML_TYPE_Q8_0; } - } else if (name == "token_embd.weight" || name == "per_layer_token_embd.weight") { + } else if (category == tensor_category::TOKEN_EMBD) { if (qs.params->token_embedding_type < GGML_TYPE_COUNT) { new_type = qs.params->token_embedding_type; } else { @@ -254,21 +481,21 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t } } else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XXS || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ1_S || ftype == LLAMA_FTYPE_MOSTLY_IQ2_S || ftype == LLAMA_FTYPE_MOSTLY_IQ2_M || ftype == LLAMA_FTYPE_MOSTLY_IQ1_M) { - if (name.find("attn_v.weight") != std::string::npos) { + if (category_is_attn_v(category)) { if (qs.model.hparams.n_gqa() >= 4 || qs.model.hparams.n_expert >= 4) new_type = GGML_TYPE_Q4_K; else new_type = ftype == LLAMA_FTYPE_MOSTLY_IQ2_S || ftype == LLAMA_FTYPE_MOSTLY_IQ2_M ? GGML_TYPE_IQ3_S : GGML_TYPE_Q2_K; ++qs.i_attention_wv; } - else if (qs.model.hparams.n_expert == 8 && name.find("attn_k.weight") != std::string::npos) { + else if (qs.model.hparams.n_expert == 8 && category == tensor_category::ATTENTION_K) { new_type = GGML_TYPE_Q4_K; } - else if (name.find("ffn_down") != std::string::npos) { + else if (category == tensor_category::FFN_DOWN) { if (qs.i_ffn_down < qs.n_ffn_down/8) { new_type = ftype == LLAMA_FTYPE_MOSTLY_IQ2_S || ftype == LLAMA_FTYPE_MOSTLY_IQ2_M ? GGML_TYPE_IQ3_S : GGML_TYPE_Q2_K; } ++qs.i_ffn_down; } - else if (name.find("attn_output.weight") != std::string::npos) { + else if (category == tensor_category::ATTENTION_OUTPUT) { if (qs.model.hparams.n_expert == 8) { new_type = GGML_TYPE_Q5_K; } else { @@ -276,7 +503,7 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_S || ftype == LLAMA_FTYPE_MOSTLY_IQ2_M) new_type = GGML_TYPE_IQ3_S; } } - } else if (name.find("attn_v.weight") != std::string::npos) { + } else if (category_is_attn_v(category)) { if (ftype == LLAMA_FTYPE_MOSTLY_Q2_K) { new_type = qs.model.hparams.n_gqa() >= 4 ? GGML_TYPE_Q4_K : GGML_TYPE_Q3_K; } @@ -314,7 +541,7 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t new_type = GGML_TYPE_Q8_0; } ++qs.i_attention_wv; - } else if (name.find("attn_k.weight") != std::string::npos) { + } else if (category == tensor_category::ATTENTION_K) { if (qs.model.hparams.n_expert == 8) { // for the 8-expert model, bumping this to Q8_0 trades just ~128MB // TODO: explore better strategies @@ -326,14 +553,14 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t else if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXS) { new_type = GGML_TYPE_IQ2_S; } - } else if (name.find("attn_q.weight") != std::string::npos) { + } else if (category == tensor_category::ATTENTION_Q) { if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XS) { new_type = GGML_TYPE_IQ3_XXS; } else if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXS) { new_type = GGML_TYPE_IQ2_S; } - } else if (name.find("ffn_down") != std::string::npos) { + } else if (category == tensor_category::FFN_DOWN) { auto info = layer_info(qs.i_ffn_down, qs.n_ffn_down, name.c_str()); int i_layer = info.first, n_layer = info.second; if (ftype == LLAMA_FTYPE_MOSTLY_Q2_K) new_type = GGML_TYPE_Q3_K; @@ -378,7 +605,7 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t new_type = ftype == LLAMA_FTYPE_MOSTLY_Q4_0 ? GGML_TYPE_Q4_1 : GGML_TYPE_Q5_1; } ++qs.i_ffn_down; - } else if (name.find("attn_output.weight") != std::string::npos) { + } else if (category == tensor_category::ATTENTION_OUTPUT) { if (arch != LLM_ARCH_FALCON) { if (qs.model.hparams.n_expert == 8) { if (ftype == LLAMA_FTYPE_MOSTLY_Q2_K || ftype == LLAMA_FTYPE_MOSTLY_IQ3_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXS || @@ -398,14 +625,14 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t if (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_L) new_type = GGML_TYPE_Q4_K; } } - else if (name.find("attn_qkv.weight") != std::string::npos) { + else if (category == tensor_category::ATTENTION_QKV) { if (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_M || ftype == LLAMA_FTYPE_MOSTLY_Q3_K_L || ftype == LLAMA_FTYPE_MOSTLY_IQ3_M) { new_type = GGML_TYPE_Q4_K; } else if (ftype == LLAMA_FTYPE_MOSTLY_Q4_K_M) new_type = GGML_TYPE_Q5_K; else if (ftype == LLAMA_FTYPE_MOSTLY_Q5_K_M) new_type = GGML_TYPE_Q6_K; } - else if (name.find("ffn_gate") != std::string::npos) { + else if (category == tensor_category::FFN_GATE) { auto info = layer_info(qs.i_ffn_gate, qs.n_ffn_gate, name.c_str()); int i_layer = info.first, n_layer = info.second; if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XS && (i_layer >= n_layer/8 && i_layer < 7*n_layer/8)) { @@ -413,7 +640,7 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t } ++qs.i_ffn_gate; } - else if (name.find("ffn_up") != std::string::npos) { + else if (category == tensor_category::FFN_UP) { auto info = layer_info(qs.i_ffn_up, qs.n_ffn_up, name.c_str()); int i_layer = info.first, n_layer = info.second; if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XS && (i_layer >= n_layer/8 && i_layer < 7*n_layer/8)) { @@ -425,6 +652,55 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t return new_type; } +// outer wrapper: determine the ggml_type that this tensor should be quantized to +static ggml_type llama_tensor_get_type(quantize_state_impl & qs, const llama_model_quantize_params * params, const ggml_tensor * tensor, ggml_type default_type, const tensor_metadata & tm) { + if (!tensor_allows_quantization(params, qs.model.arch, tensor)) { + return tensor->type; + } + if (params->token_embedding_type < GGML_TYPE_COUNT && tm.category == tensor_category::TOKEN_EMBD) { + return params->token_embedding_type; + } + if (params->output_tensor_type < GGML_TYPE_COUNT && tm.category == tensor_category::OUTPUT) { + return params->output_tensor_type; + } + + ggml_type new_type = default_type; + + // get more optimal quantization type based on the tensor shape, layer, etc. + if (!params->pure && ggml_is_quantized(default_type)) { + // if the user provided tensor types - use those + bool manual = false; + if (!qs.tensor_type_patterns.empty()) { + const std::string tensor_name(tensor->name); + for (const auto & [pattern, qtype] : qs.tensor_type_patterns) { + if (std::regex_search(tensor_name, pattern)) { + if (qtype != new_type) { + LLAMA_LOG_WARN("%s: %-36s - applying manual override: %s -> %s\n", + __func__, tensor_name.c_str(), ggml_type_name(new_type), ggml_type_name(qtype)); + new_type = qtype; + manual = true; + break; + } + } + } + } + + // if not manual - use the standard logic for choosing the quantization type based on the selected mixture + if (!manual) { + new_type = llama_tensor_get_type_impl(qs, new_type, tensor, params->ftype, tm.category); + } + + // incompatible tensor shapes are handled here - fallback to a compatible type + new_type = tensor_type_fallback(qs, tensor, new_type); + } + + return new_type; +} + +// +// quantization implementation +// + static size_t llama_tensor_quantize_impl(enum ggml_type new_type, const float * f32_data, void * new_data, const int64_t chunk_size, int64_t nrows, int64_t n_per_row, const float * imatrix, std::vector & workers, const int nthread) { if (nthread < 2) { // single-thread @@ -479,68 +755,94 @@ static size_t llama_tensor_quantize_impl(enum ggml_type new_type, const float * return new_size; } -static bool tensor_type_requires_imatrix(const ggml_tensor * t, const ggml_type dst_type, const llama_ftype ftype) { - return ( - dst_type == GGML_TYPE_IQ2_XXS || dst_type == GGML_TYPE_IQ2_XS || - dst_type == GGML_TYPE_IQ3_XXS || dst_type == GGML_TYPE_IQ1_S || - dst_type == GGML_TYPE_IQ2_S || dst_type == GGML_TYPE_IQ1_M || - ( // Q2_K_S is the worst k-quant type - only allow it without imatrix for token embeddings - dst_type == GGML_TYPE_Q2_K && ftype == LLAMA_FTYPE_MOSTLY_Q2_K_S && strcmp(t->name, "token_embd.weight") != 0 - ) - ); +// +// imatrix requirement check +// + +static bool tensor_requires_imatrix(const char * tensor_name, const ggml_type dst_type, const llama_ftype ftype) { + if (tensor_name_match_token_embd(tensor_name) || tensor_name_match_output_weight(tensor_name)) { + return false; + } + switch (dst_type) { + case GGML_TYPE_IQ3_XXS: + case GGML_TYPE_IQ2_XXS: + case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ2_S: + case GGML_TYPE_IQ1_M: + case GGML_TYPE_IQ1_S: + return true; + case GGML_TYPE_Q2_K: + // as a general rule, the k-type quantizations don't require imatrix data. + // the only exception is Q2_K tensors that are part of a Q2_K_S file. + return ftype == LLAMA_FTYPE_MOSTLY_Q2_K_S; + default: + return false; + } } +// +// given a file type, get the default tensor type +// + +static ggml_type llama_ftype_get_default_type(llama_ftype ftype) { + switch (ftype) { + case LLAMA_FTYPE_MOSTLY_Q4_0: return GGML_TYPE_Q4_0; + case LLAMA_FTYPE_MOSTLY_Q4_1: return GGML_TYPE_Q4_1; + case LLAMA_FTYPE_MOSTLY_Q5_0: return GGML_TYPE_Q5_0; + case LLAMA_FTYPE_MOSTLY_Q5_1: return GGML_TYPE_Q5_1; + case LLAMA_FTYPE_MOSTLY_Q8_0: return GGML_TYPE_Q8_0; + case LLAMA_FTYPE_MOSTLY_F16: return GGML_TYPE_F16; + case LLAMA_FTYPE_MOSTLY_BF16: return GGML_TYPE_BF16; + case LLAMA_FTYPE_ALL_F32: return GGML_TYPE_F32; + + case LLAMA_FTYPE_MOSTLY_MXFP4_MOE: return GGML_TYPE_MXFP4; + + // K-quants + case LLAMA_FTYPE_MOSTLY_Q2_K_S: + case LLAMA_FTYPE_MOSTLY_Q2_K: return GGML_TYPE_Q2_K; + case LLAMA_FTYPE_MOSTLY_IQ3_XS: return GGML_TYPE_IQ3_S; + case LLAMA_FTYPE_MOSTLY_Q3_K_S: + case LLAMA_FTYPE_MOSTLY_Q3_K_M: + case LLAMA_FTYPE_MOSTLY_Q3_K_L: return GGML_TYPE_Q3_K; + case LLAMA_FTYPE_MOSTLY_Q4_K_S: + case LLAMA_FTYPE_MOSTLY_Q4_K_M: return GGML_TYPE_Q4_K; + case LLAMA_FTYPE_MOSTLY_Q5_K_S: + case LLAMA_FTYPE_MOSTLY_Q5_K_M: return GGML_TYPE_Q5_K; + case LLAMA_FTYPE_MOSTLY_Q6_K: return GGML_TYPE_Q6_K; + case LLAMA_FTYPE_MOSTLY_TQ1_0: return GGML_TYPE_TQ1_0; + case LLAMA_FTYPE_MOSTLY_TQ2_0: return GGML_TYPE_TQ2_0; + case LLAMA_FTYPE_MOSTLY_IQ2_XXS: return GGML_TYPE_IQ2_XXS; + case LLAMA_FTYPE_MOSTLY_IQ2_XS: return GGML_TYPE_IQ2_XS; + case LLAMA_FTYPE_MOSTLY_IQ2_S: return GGML_TYPE_IQ2_XS; + case LLAMA_FTYPE_MOSTLY_IQ2_M: return GGML_TYPE_IQ2_S; + case LLAMA_FTYPE_MOSTLY_IQ3_XXS: return GGML_TYPE_IQ3_XXS; + case LLAMA_FTYPE_MOSTLY_IQ1_S: return GGML_TYPE_IQ1_S; + case LLAMA_FTYPE_MOSTLY_IQ1_M: return GGML_TYPE_IQ1_M; + case LLAMA_FTYPE_MOSTLY_IQ4_NL: return GGML_TYPE_IQ4_NL; + case LLAMA_FTYPE_MOSTLY_IQ4_XS: return GGML_TYPE_IQ4_XS; + case LLAMA_FTYPE_MOSTLY_IQ3_S: + case LLAMA_FTYPE_MOSTLY_IQ3_M: return GGML_TYPE_IQ3_S; + + default: throw std::runtime_error(format("invalid output file type %d\n", ftype)); + } +} + +// +// main quantization driver +// + static void llama_model_quantize_impl(const std::string & fname_inp, const std::string & fname_out, const llama_model_quantize_params * params) { ggml_type default_type; llama_ftype ftype = params->ftype; - switch (params->ftype) { - case LLAMA_FTYPE_MOSTLY_Q4_0: default_type = GGML_TYPE_Q4_0; break; - case LLAMA_FTYPE_MOSTLY_Q4_1: default_type = GGML_TYPE_Q4_1; break; - case LLAMA_FTYPE_MOSTLY_Q5_0: default_type = GGML_TYPE_Q5_0; break; - case LLAMA_FTYPE_MOSTLY_Q5_1: default_type = GGML_TYPE_Q5_1; break; - case LLAMA_FTYPE_MOSTLY_Q8_0: default_type = GGML_TYPE_Q8_0; break; - case LLAMA_FTYPE_MOSTLY_F16: default_type = GGML_TYPE_F16; break; - case LLAMA_FTYPE_MOSTLY_BF16: default_type = GGML_TYPE_BF16; break; - case LLAMA_FTYPE_ALL_F32: default_type = GGML_TYPE_F32; break; - - case LLAMA_FTYPE_MOSTLY_MXFP4_MOE: default_type = GGML_TYPE_MXFP4; break; - - // K-quants - case LLAMA_FTYPE_MOSTLY_Q2_K_S: - case LLAMA_FTYPE_MOSTLY_Q2_K: default_type = GGML_TYPE_Q2_K; break; - case LLAMA_FTYPE_MOSTLY_IQ3_XS: default_type = GGML_TYPE_IQ3_S; break; - case LLAMA_FTYPE_MOSTLY_Q3_K_S: - case LLAMA_FTYPE_MOSTLY_Q3_K_M: - case LLAMA_FTYPE_MOSTLY_Q3_K_L: default_type = GGML_TYPE_Q3_K; break; - case LLAMA_FTYPE_MOSTLY_Q4_K_S: - case LLAMA_FTYPE_MOSTLY_Q4_K_M: default_type = GGML_TYPE_Q4_K; break; - case LLAMA_FTYPE_MOSTLY_Q5_K_S: - case LLAMA_FTYPE_MOSTLY_Q5_K_M: default_type = GGML_TYPE_Q5_K; break; - case LLAMA_FTYPE_MOSTLY_Q6_K: default_type = GGML_TYPE_Q6_K; break; - case LLAMA_FTYPE_MOSTLY_TQ1_0: default_type = GGML_TYPE_TQ1_0; break; - case LLAMA_FTYPE_MOSTLY_TQ2_0: default_type = GGML_TYPE_TQ2_0; break; - case LLAMA_FTYPE_MOSTLY_IQ2_XXS: default_type = GGML_TYPE_IQ2_XXS; break; - case LLAMA_FTYPE_MOSTLY_IQ2_XS: default_type = GGML_TYPE_IQ2_XS; break; - case LLAMA_FTYPE_MOSTLY_IQ2_S: default_type = GGML_TYPE_IQ2_XS; break; - case LLAMA_FTYPE_MOSTLY_IQ2_M: default_type = GGML_TYPE_IQ2_S; break; - case LLAMA_FTYPE_MOSTLY_IQ3_XXS: default_type = GGML_TYPE_IQ3_XXS; break; - case LLAMA_FTYPE_MOSTLY_IQ1_S: default_type = GGML_TYPE_IQ1_S; break; - case LLAMA_FTYPE_MOSTLY_IQ1_M: default_type = GGML_TYPE_IQ1_M; break; - case LLAMA_FTYPE_MOSTLY_IQ4_NL: default_type = GGML_TYPE_IQ4_NL; break; - case LLAMA_FTYPE_MOSTLY_IQ4_XS: default_type = GGML_TYPE_IQ4_XS; break; - case LLAMA_FTYPE_MOSTLY_IQ3_S: default_type = GGML_TYPE_IQ3_S; break; - case LLAMA_FTYPE_MOSTLY_IQ3_M: default_type = GGML_TYPE_IQ3_S; break; - - default: throw std::runtime_error(format("invalid output file type %d\n", ftype)); - } - int nthread = params->nthread; if (nthread <= 0) { nthread = std::thread::hardware_concurrency(); } + default_type = llama_ftype_get_default_type(ftype); + // mmap consistently increases speed on Linux, and also increases speed on Windows with // hot cache. It may cause a slowdown on macOS, possibly related to free memory. #if defined(__linux__) || defined(_WIN32) @@ -556,7 +858,8 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std:: } std::vector splits = {}; - llama_model_loader ml(fname_inp, splits, use_mmap, /*use_direct_io*/ false, /*check_tensors*/ true, /*no_alloc*/ false, kv_overrides, nullptr); + llama_model_loader ml(/*metadata*/ nullptr, /*set_tensor_data*/ nullptr, /*set_tensor_data_ud*/ nullptr, + fname_inp, splits, use_mmap, /*use_direct_io*/ false, /*check_tensors*/ true, /*no_alloc*/ false, kv_overrides, nullptr); ml.init_mappings(false); // no prefetching llama_model model(llama_model_default_params()); @@ -574,7 +877,8 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std:: if (params->imatrix) { imatrix_data = static_cast>*>(params->imatrix); if (imatrix_data) { - LLAMA_LOG_INFO("================================ Have weights data with %d entries\n",int(imatrix_data->size())); + LLAMA_LOG_INFO("\n%s: have importance matrix data with %d entries\n", + __func__, (int)imatrix_data->size()); qs.has_imatrix = true; // check imatrix for nans or infs for (const auto & kv : *imatrix_data) { @@ -596,7 +900,7 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std:: } // copy the KV pairs from the input file - gguf_set_kv (ctx_out.get(), ml.meta.get()); + gguf_set_kv (ctx_out.get(), ml.metadata); gguf_set_val_u32(ctx_out.get(), "general.quantization_version", GGML_QNT_VERSION); // TODO: use LLM_KV gguf_set_val_u32(ctx_out.get(), "general.file_type", ftype); // TODO: use LLM_KV @@ -657,35 +961,7 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std:: }); } - for (const auto * it : tensors) { - const struct ggml_tensor * tensor = it->tensor; - - const std::string name = ggml_get_name(tensor); - - // TODO: avoid hardcoded tensor names - use the TN_* constants - if (name.find("attn_v.weight") != std::string::npos || - name.find("attn_qkv.weight") != std::string::npos || - name.find("attn_kv_b.weight")!= std::string::npos) { - ++qs.n_attention_wv; - } else if (name == LLM_TN(model.arch)(LLM_TENSOR_OUTPUT, "weight")) { - qs.has_output = true; - } - } - - qs.n_ffn_down = qs.n_ffn_gate = qs.n_ffn_up = (int)model.hparams.n_layer; - - size_t total_size_org = 0; - size_t total_size_new = 0; - - std::vector workers; - workers.reserve(nthread); - int idx = 0; - - std::vector> read_data; - std::vector> work; - std::vector> f32_conv_buf; - uint16_t n_split = 1; // Assume split index is continuous @@ -697,14 +973,68 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std:: std::vector ctx_outs(n_split); ctx_outs[0] = std::move(ctx_out); - // populate the original tensors so we get an initial meta data - for (const auto * it : tensors) { + // compute tensor metadata once and cache it + std::vector metadata(tensors.size()); + + // initialize quantization state before preliminary loop (counters for use_more_bits) + { + for (size_t i = 0; i < tensors.size(); ++i) { + const auto cat = tensor_get_category(tensors[i]->tensor->name); + if (category_is_attn_v(cat)) { + ++qs.n_attention_wv; + } + if (cat == tensor_category::OUTPUT) { + qs.has_tied_embeddings = false; + } + metadata[i].category = cat; // save and re-use the category while we're at it + } + // these also need to be set to n_layer by default + qs.n_ffn_down = qs.n_ffn_gate = qs.n_ffn_up = (int)qs.model.hparams.n_layer; + } + + // flag for --dry-run + bool will_require_imatrix = false; + + // + // preliminary iteration over all weights + // + + for (size_t i = 0; i < tensors.size(); ++i) { + const auto * it = tensors[i]; + const struct ggml_tensor * tensor = it->tensor; + const std::string name = ggml_get_name(tensor); + uint16_t i_split = params->keep_split ? it->idx : 0; - ggml_tensor * tensor = it->tensor; if (!ctx_outs[i_split]) { ctx_outs[i_split].reset(gguf_init_empty()); } gguf_add_tensor(ctx_outs[i_split].get(), tensor); + + metadata[i].allows_quantization = tensor_allows_quantization(params, model.arch, tensor); + + if (metadata[i].allows_quantization) { + metadata[i].target_type = llama_tensor_get_type(qs, params, tensor, default_type, metadata[i]); + } else { + metadata[i].target_type = tensor->type; + } + + metadata[i].requires_imatrix = tensor_requires_imatrix(tensor->name, metadata[i].target_type, ftype); + + if (params->imatrix) { + metadata[i].remapped_imatrix_name = remap_imatrix(tensor->name, mapped); + } else if (metadata[i].allows_quantization && metadata[i].requires_imatrix) { + if (params->dry_run) { + will_require_imatrix = true; + } else { + LLAMA_LOG_ERROR("\n============================================================================\n" + " ERROR: this quantization requires an importance matrix!\n" + " - offending tensor: %s\n" + " - target type: %s\n" + "============================================================================\n\n", + name.c_str(), ggml_type_name(metadata[i].target_type)); + throw std::runtime_error("this quantization requires an imatrix!"); + } + } } // Set split info if needed @@ -716,6 +1046,16 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std:: } } + size_t total_size_org = 0; + size_t total_size_new = 0; + + std::vector workers; + workers.reserve(nthread); + + std::vector> read_data; + std::vector> work; + std::vector> f32_conv_buf; + int cur_split = -1; std::ofstream fout; auto close_ofstream = [&]() { @@ -745,20 +1085,20 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std:: ::zeros(fout, meta_size); }; - const auto tn = LLM_TN(model.arch); - // no output file for --dry-run if (!params->dry_run) { new_ofstream(0); } - // flag for `--dry-run`, to let the user know if imatrix will be required for a real - // quantization, as a courtesy - bool will_require_imatrix = false; + // + // main loop: iterate over all weights + // - for (const auto * it : tensors) { - const auto & weight = *it; + for (size_t i = 0; i < tensors.size(); ++i) { + const auto & weight = *tensors[i]; + const auto & tm = metadata[i]; ggml_tensor * tensor = weight.tensor; + if (!params->dry_run && (weight.idx != cur_split && params->keep_split)) { close_ofstream(); new_ofstream(weight.idx); @@ -777,162 +1117,31 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std:: ml.load_data_for(tensor); } - LLAMA_LOG_INFO("[%4d/%4d] %36s - [%s], type = %6s, ", + LLAMA_LOG_INFO("[%4d/%4d] %-36s - [%s], type = %6s, ", ++idx, ml.n_tensors, ggml_get_name(tensor), llama_format_tensor_shape(tensor).c_str(), ggml_type_name(tensor->type)); - // This used to be a regex, but has an extreme cost to compile times. - bool quantize = name.rfind("weight") == name.size() - 6; // ends with 'weight'? + const ggml_type cur_type = tensor->type; + const ggml_type new_type = tm.target_type; - // quantize only 2D and 3D tensors (experts) - quantize &= (ggml_n_dims(tensor) >= 2); + // If we've decided to quantize to the same type the tensor is already + // in then there's nothing to do. + bool quantize = cur_type != new_type; - // do not quantize norm tensors - quantize &= name.find("_norm.weight") == std::string::npos; - - quantize &= params->quantize_output_tensor || name != "output.weight"; - quantize &= !params->only_copy; - - // do not quantize expert gating tensors - // NOTE: can't use LLM_TN here because the layer number is not known - quantize &= name.find("ffn_gate_inp.weight") == std::string::npos; - - // these are very small (e.g. 4x4) - quantize &= name.find("altup") == std::string::npos; - quantize &= name.find("laurel") == std::string::npos; - - // these are not too big so keep them as it is - quantize &= name.find("per_layer_model_proj") == std::string::npos; - - // do not quantize positional embeddings and token types (BERT) - quantize &= name != LLM_TN(model.arch)(LLM_TENSOR_POS_EMBD, "weight"); - quantize &= name != LLM_TN(model.arch)(LLM_TENSOR_TOKEN_TYPES, "weight"); - - // do not quantize Mamba /Kimi's small conv1d weights - // NOTE: can't use LLM_TN here because the layer number is not known - quantize &= name.find("ssm_conv1d") == std::string::npos; - quantize &= name.find("shortconv.conv.weight") == std::string::npos; - - // do not quantize RWKV's small yet 2D weights - quantize &= name.find("time_mix_first.weight") == std::string::npos; - quantize &= name.find("time_mix_w0.weight") == std::string::npos; - quantize &= name.find("time_mix_w1.weight") == std::string::npos; - quantize &= name.find("time_mix_w2.weight") == std::string::npos; - quantize &= name.find("time_mix_v0.weight") == std::string::npos; - quantize &= name.find("time_mix_v1.weight") == std::string::npos; - quantize &= name.find("time_mix_v2.weight") == std::string::npos; - quantize &= name.find("time_mix_a0.weight") == std::string::npos; - quantize &= name.find("time_mix_a1.weight") == std::string::npos; - quantize &= name.find("time_mix_a2.weight") == std::string::npos; - quantize &= name.find("time_mix_g1.weight") == std::string::npos; - quantize &= name.find("time_mix_g2.weight") == std::string::npos; - quantize &= name.find("time_mix_decay_w1.weight") == std::string::npos; - quantize &= name.find("time_mix_decay_w2.weight") == std::string::npos; - quantize &= name.find("time_mix_lerp_fused.weight") == std::string::npos; - - // do not quantize relative position bias (T5) - quantize &= name.find("attn_rel_b.weight") == std::string::npos; - - // do not quantize specific multimodal tensors - quantize &= name.find(".position_embd.") == std::string::npos; - - ggml_type new_type; void * new_data; size_t new_size; - if (quantize) { - new_type = default_type; - - // get more optimal quantization type based on the tensor shape, layer, etc. - if (!params->pure && ggml_is_quantized(default_type)) { - // if the user provided tensor types - use those - bool manual = false; - if (params->tensor_types) { - const std::vector & tensor_types = *static_cast *>(params->tensor_types); - const std::string tensor_name(tensor->name); - for (const auto & [tname, qtype] : tensor_types) { - if (std::regex pattern(tname); std::regex_search(tensor_name, pattern)) { - if (qtype != new_type) { - LLAMA_LOG_WARN("(manual override: %s -> %s) ", ggml_type_name(new_type), ggml_type_name(qtype)); - new_type = qtype; // if two or more types are specified for the same tensor, the last match wins - manual = true; - break; - } - } - } - } - - // if not manual - use the standard logic for choosing the quantization type based on the selected mixture - if (!manual) { - new_type = llama_tensor_get_type(qs, new_type, tensor, ftype); - } - - // incompatible tensor shapes are handled here - fallback to a compatible type - { - bool convert_incompatible_tensor = false; - - const int64_t nx = tensor->ne[0]; - const int64_t ny = tensor->ne[1]; - const int64_t qk_k = ggml_blck_size(new_type); - - if (nx % qk_k != 0) { - LLAMA_LOG_WARN("\n\n%s : tensor cols %" PRId64 " x %" PRId64 " are not divisible by %" PRId64 ", required for %s", __func__, nx, ny, qk_k, ggml_type_name(new_type)); - convert_incompatible_tensor = true; - } else { - ++qs.n_k_quantized; - } - - if (convert_incompatible_tensor) { - switch (new_type) { - case GGML_TYPE_TQ1_0: - case GGML_TYPE_TQ2_0: new_type = GGML_TYPE_Q4_0; break; // TODO: use a symmetric type instead - case GGML_TYPE_IQ2_XXS: - case GGML_TYPE_IQ2_XS: - case GGML_TYPE_IQ2_S: - case GGML_TYPE_IQ3_XXS: - case GGML_TYPE_IQ3_S: - case GGML_TYPE_IQ1_S: - case GGML_TYPE_IQ1_M: - case GGML_TYPE_Q2_K: - case GGML_TYPE_Q3_K: - case GGML_TYPE_IQ4_XS: new_type = GGML_TYPE_IQ4_NL; break; - case GGML_TYPE_Q4_K: new_type = GGML_TYPE_Q5_0; break; - case GGML_TYPE_Q5_K: new_type = GGML_TYPE_Q5_1; break; - case GGML_TYPE_Q6_K: new_type = GGML_TYPE_Q8_0; break; - default: throw std::runtime_error("\nUnsupported tensor size encountered\n"); - } - if (tensor->ne[0] % ggml_blck_size(new_type) != 0) { - new_type = GGML_TYPE_F16; - } - LLAMA_LOG_WARN(" - using fallback quantization %s\n", ggml_type_name(new_type)); - ++qs.n_fallback; - } - } - } - if (params->token_embedding_type < GGML_TYPE_COUNT && strcmp(tensor->name, "token_embd.weight") == 0) { - new_type = params->token_embedding_type; - } - if (params->output_tensor_type < GGML_TYPE_COUNT && strcmp(tensor->name, "output.weight") == 0) { - new_type = params->output_tensor_type; - } - - // If we've decided to quantize to the same type the tensor is already - // in then there's nothing to do. - quantize = tensor->type != new_type; - } - - // we have now decided on the target type for this tensor if (params->dry_run) { - // the --dry-run option calculates the final quantization size without quantizting + // the --dry-run option calculates the final quantization size without quantizing if (quantize) { new_size = ggml_nrows(tensor) * ggml_row_size(new_type, tensor->ne[0]); LLAMA_LOG_INFO("size = %8.2f MiB -> %8.2f MiB (%s)\n", tensor_size/1024.0/1024.0, new_size/1024.0/1024.0, ggml_type_name(new_type)); - if (!will_require_imatrix && tensor_type_requires_imatrix(tensor, new_type, params->ftype)) { + if (!will_require_imatrix && tm.requires_imatrix) { will_require_imatrix = true; } } else { @@ -945,7 +1154,6 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std:: } else { // no --dry-run, perform quantization if (!quantize) { - new_type = tensor->type; new_data = tensor->data; new_size = tensor_size; LLAMA_LOG_INFO("size = %8.3f MiB\n", tensor_size/1024.0/1024.0); @@ -954,7 +1162,7 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std:: const float * imatrix = nullptr; if (imatrix_data) { - auto it = imatrix_data->find(remap_imatrix(tensor->name, mapped)); + auto it = imatrix_data->find(tm.remapped_imatrix_name); if (it == imatrix_data->end()) { LLAMA_LOG_INFO("\n====== %s: did not find weights for %s\n", __func__, tensor->name); } else { @@ -968,14 +1176,14 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std:: // this is a significant error and it may be good idea to abort the process if this happens, // since many people will miss the error and not realize that most of the model is being quantized without an imatrix // tok_embd should be ignored in this case, since it always causes this warning - if (name != tn(LLM_TENSOR_TOKEN_EMBD, "weight")) { + if (!tensor_name_match_token_embd(tensor->name)) { throw std::runtime_error(format("imatrix size %d is different from tensor size %d for %s", int(it->second.size()), int(tensor->ne[0]*tensor->ne[2]), tensor->name)); } } } } - if (!imatrix && tensor_type_requires_imatrix(tensor, new_type, params->ftype)) { + if (!imatrix && tm.requires_imatrix) { LLAMA_LOG_ERROR("\n\n============================================================\n"); LLAMA_LOG_ERROR("Missing importance matrix for tensor %s in a very low-bit quantization\n", tensor->name); LLAMA_LOG_ERROR("The result will be garbage, so bailing out\n"); @@ -1020,29 +1228,6 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std:: const float * imatrix_03 = imatrix ? imatrix + i03 * n_per_row : nullptr; new_size += llama_tensor_quantize_impl(new_type, f32_data_03, new_data_03, chunk_size, nrows, n_per_row, imatrix_03, workers, nthread_use); - - // TODO: temporary sanity check that the F16 -> MXFP4 is lossless -#if 0 - if (new_type == GGML_TYPE_MXFP4) { - auto * x = f32_data_03; - - //LLAMA_LOG_INFO("nrows = %d, n_per_row = %d\n", nrows, n_per_row); - std::vector deq(nrows*n_per_row); - const ggml_type_traits * qtype = ggml_get_type_traits(new_type); - qtype->to_float(new_data_03, deq.data(), deq.size()); - - double err = 0.0f; - for (int i = 0; i < (int) deq.size(); ++i) { - err += fabsf(deq[i] - x[i]); - //if (fabsf(deq[i] - x[i]) > 0.00001 && i < 256) { - if (deq[i] != x[i]) { - LLAMA_LOG_INFO("deq[%d] = %f, x[%d] = %f\n", i, deq[i], i, x[i]); - } - } - //LLAMA_LOG_INFO("err = %f\n", err); - GGML_ASSERT(err == 0.00000); - } -#endif } LLAMA_LOG_INFO("size = %8.2f MiB -> %8.2f MiB\n", tensor_size/1024.0/1024.0, new_size/1024.0/1024.0); } @@ -1058,7 +1243,7 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std:: fout.write((const char *) new_data, new_size); zeros(fout, GGML_PAD(new_size, align) - new_size); } // no --dry-run - } // iterate over tensors + } // main loop if (!params->dry_run) { close_ofstream(); @@ -1075,7 +1260,7 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std:: if (qs.n_fallback > 0) { LLAMA_LOG_WARN("%s: WARNING: %d of %d tensor(s) required fallback quantization\n", - __func__, qs.n_fallback, qs.n_k_quantized + qs.n_fallback); + __func__, qs.n_fallback, ml.n_tensors); } } diff --git a/src/llama-vocab.cpp b/src/llama-vocab.cpp index ce83361dc7..13934339dd 100644 --- a/src/llama-vocab.cpp +++ b/src/llama-vocab.cpp @@ -1719,7 +1719,7 @@ private: }; void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) { - struct gguf_context * ctx = ml.meta.get(); + struct gguf_context * ctx = ml.metadata; // determine vocab type { @@ -2129,19 +2129,28 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) { throw std::runtime_error("cannot find tokenizer vocab in model file\n"); } + const uint32_t n_tokens = gguf_get_arr_n(ctx, token_idx); + const float * scores = nullptr; const int score_idx = gguf_find_key(ctx, kv(LLM_KV_TOKENIZER_SCORES).c_str()); if (score_idx != -1) { + const uint32_t n_scores = gguf_get_arr_n(ctx, score_idx); + if (n_scores < n_tokens) { + throw std::runtime_error("Index out of array bounds for scores (" + std::to_string(n_scores) + " < " + std::to_string(n_tokens) + ")\n"); + } scores = (const float * ) gguf_get_arr_data(ctx, score_idx); } const int * toktypes = nullptr; const int toktype_idx = gguf_find_key(ctx, kv(LLM_KV_TOKENIZER_TOKEN_TYPE).c_str()); if (toktype_idx != -1) { + const uint32_t n_toktypes = gguf_get_arr_n(ctx, toktype_idx); + if (n_toktypes < n_tokens) { + throw std::runtime_error("Index out of array bounds for toktypes (" + std::to_string(n_toktypes) + " < " + std::to_string(n_tokens) + ")\n"); + } toktypes = (const int * ) gguf_get_arr_data(ctx, toktype_idx); } - uint32_t n_tokens = gguf_get_arr_n(ctx, token_idx); id_to_token.resize(n_tokens); for (uint32_t i = 0; i < n_tokens; i++) { diff --git a/src/llama.cpp b/src/llama.cpp index 6da90d6f1f..872e659edc 100644 --- a/src/llama.cpp +++ b/src/llama.cpp @@ -1,5 +1,6 @@ #include "llama.h" +#include "ggml-cpp.h" #include "llama-impl.h" #include "llama-chat.h" @@ -12,6 +13,7 @@ #include "ggml.h" #include "ggml-backend.h" +#include "gguf.h" #include #include @@ -825,7 +827,8 @@ int64_t llama_time_us(void) { } // Returns 0 on success, -1 on error, and -2 on cancellation via llama_progress_callback -static int llama_model_load(const std::string & fname, std::vector & splits, llama_model & model, llama_model_params & params) { +static int llama_model_load(struct gguf_context * metadata, llama_model_set_tensor_data_t set_tensor_data, void * set_tensor_data_ud, + const std::string & fname, std::vector & splits, llama_model & model, llama_model_params & params) { // loading time will be recalculated after the first eval, so // we take page faults deferred by mmap() into consideration model.t_load_us = 0; @@ -834,7 +837,8 @@ static int llama_model_load(const std::string & fname, std::vector model.t_start_us = tm.t_start_us; try { - llama_model_loader ml(fname, splits, params.use_mmap, params.use_direct_io, params.check_tensors, params.no_alloc, params.kv_overrides, params.tensor_buft_overrides); + llama_model_loader ml(metadata, set_tensor_data, set_tensor_data_ud, fname, splits, params.use_mmap, params.use_direct_io, + params.check_tensors, params.no_alloc, params.kv_overrides, params.tensor_buft_overrides); ml.print_info(); @@ -880,9 +884,13 @@ static int llama_model_load(const std::string & fname, std::vector } static struct llama_model * llama_model_load_from_file_impl( + struct gguf_context * metadata, + llama_model_set_tensor_data_t set_tensor_data, + void * set_tensor_data_ud, const std::string & path_model, std::vector & splits, struct llama_model_params params) { + GGML_ASSERT((metadata == nullptr) != path_model.empty() && "exactly one out of metadata and path_model needs to be defined"); ggml_time_init(); if (!params.vocab_only && ggml_backend_reg_count() == 0) { @@ -1003,7 +1011,7 @@ static struct llama_model * llama_model_load_from_file_impl( props.memory_free/1024/1024); } - const int status = llama_model_load(path_model, splits, *model, params); + const int status = llama_model_load(metadata, set_tensor_data, set_tensor_data_ud, path_model, splits, *model, params); GGML_ASSERT(status <= 0); if (status < 0) { if (status == -1) { @@ -1019,6 +1027,18 @@ static struct llama_model * llama_model_load_from_file_impl( return model; } +struct llama_model * llama_model_init_from_user( + struct gguf_context * metadata, + llama_model_set_tensor_data_t set_tensor_data, + void * set_tensor_data_ud, + struct llama_model_params params) { + GGML_ASSERT(metadata != nullptr); + std::string path_model; + std::vector splits = {}; + params.use_mmap = false; + params.use_extra_bufts = false; + return llama_model_load_from_file_impl(metadata, set_tensor_data, set_tensor_data_ud, path_model, splits, params); +} // deprecated struct llama_model * llama_load_model_from_file( const char * path_model, @@ -1030,7 +1050,7 @@ struct llama_model * llama_model_load_from_file( const char * path_model, struct llama_model_params params) { std::vector splits = {}; - return llama_model_load_from_file_impl(path_model, splits, params); + return llama_model_load_from_file_impl(nullptr, nullptr, nullptr, path_model, splits, params); } struct llama_model * llama_model_load_from_splits( @@ -1046,11 +1066,11 @@ struct llama_model * llama_model_load_from_splits( for (size_t i = 0; i < n_paths; ++i) { splits.push_back(paths[i]); } - return llama_model_load_from_file_impl(splits.front(), splits, params); + return llama_model_load_from_file_impl(nullptr, nullptr, nullptr, splits.front(), splits, params); } void llama_model_save_to_file(const struct llama_model * model, const char * path_model) { - llama_model_saver ms(*model); + llama_model_saver ms(model); ms.add_kv_from_model(); ms.add_tensors_from_model(); ms.save(path_model); diff --git a/src/models/afmoe.cpp b/src/models/afmoe.cpp index 6a752a403f..9aabe25c96 100644 --- a/src/models/afmoe.cpp +++ b/src/models/afmoe.cpp @@ -1,8 +1,8 @@ #include "models.h" llm_build_afmoe::llm_build_afmoe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + const int64_t n_embd_head = hparams.n_embd_head_v(); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; @@ -127,7 +127,6 @@ llm_build_afmoe::llm_build_afmoe(const llama_model & model, const llm_graph_para n_expert, n_expert_used, LLM_FFN_SILU, hparams.expert_weights_norm, // norm_w (route_norm=True) - hparams.expert_weights_scale, // scale_w hparams.expert_weights_scale, // w_scale (route_scale=2.826) (llama_expert_gating_func_type) hparams.expert_gating_func, il); diff --git a/src/models/apertus.cpp b/src/models/apertus.cpp index 9af19c1bfe..4d65614e46 100644 --- a/src/models/apertus.cpp +++ b/src/models/apertus.cpp @@ -3,10 +3,10 @@ llm_build_apertus::llm_build_apertus(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/arcee.cpp b/src/models/arcee.cpp index aa6167dba1..20b9ffd49e 100644 --- a/src/models/arcee.cpp +++ b/src/models/arcee.cpp @@ -2,10 +2,10 @@ llm_build_arcee::llm_build_arcee(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/arctic.cpp b/src/models/arctic.cpp index e8f028a723..b712e08cbd 100644 --- a/src/models/arctic.cpp +++ b/src/models/arctic.cpp @@ -1,11 +1,10 @@ #include "models.h" - llm_build_arctic::llm_build_arctic(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -104,7 +103,7 @@ llm_build_arctic::llm_build_arctic(const llama_model & model, const llm_graph_pa nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(cur, "ffn_moe_out", il); diff --git a/src/models/baichuan.cpp b/src/models/baichuan.cpp index c04b0c98b0..abd03cd0b9 100644 --- a/src/models/baichuan.cpp +++ b/src/models/baichuan.cpp @@ -2,10 +2,10 @@ llm_build_baichuan::llm_build_baichuan(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -56,6 +56,7 @@ llm_build_baichuan::llm_build_baichuan(const llama_model & model, const llm_grap ); break; case LLM_TYPE_13B: + case LLM_TYPE_UNKNOWN: break; default: GGML_ABORT("fatal error"); diff --git a/src/models/bailingmoe.cpp b/src/models/bailingmoe.cpp index ed56b9c471..25e3369c31 100644 --- a/src/models/bailingmoe.cpp +++ b/src/models/bailingmoe.cpp @@ -1,6 +1,5 @@ #include "models.h" - llm_build_bailingmoe::llm_build_bailingmoe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { ggml_tensor * cur; ggml_tensor * inpL; @@ -97,7 +96,7 @@ llm_build_bailingmoe::llm_build_bailingmoe(const llama_model & model, const llm_ nullptr, n_expert, n_expert_used, LLM_FFN_SILU, hparams.expert_weights_norm, - false, hparams.expert_weights_scale, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/bailingmoe2.cpp b/src/models/bailingmoe2.cpp index fbf7b210c4..4209862466 100644 --- a/src/models/bailingmoe2.cpp +++ b/src/models/bailingmoe2.cpp @@ -1,13 +1,11 @@ #include "models.h" - - llm_build_bailingmoe2::llm_build_bailingmoe2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; @@ -90,7 +88,7 @@ llm_build_bailingmoe2::llm_build_bailingmoe2(const llama_model & model, const ll model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, hparams.expert_weights_norm, - true, hparams.expert_weights_scale, + hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/bert.cpp b/src/models/bert.cpp index bca0e254fc..8733179141 100644 --- a/src/models/bert.cpp +++ b/src/models/bert.cpp @@ -1,12 +1,10 @@ #include "models.h" - - llm_build_bert::llm_build_bert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; @@ -129,9 +127,17 @@ llm_build_bert::llm_build_bert(const llama_model & model, const llm_graph_params // feed-forward network if (hparams.moe_every_n_layers > 0 && il % hparams.moe_every_n_layers == 1) { // MoE branch - cur = build_moe_ffn(cur, model.layers[il].ffn_gate_inp, model.layers[il].ffn_up_exps, nullptr, - model.layers[il].ffn_down_exps, nullptr, hparams.n_expert, hparams.n_expert_used, - LLM_FFN_GELU, false, false, 0.0f, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); + cur = build_moe_ffn(cur, + model.layers[il].ffn_gate_inp, + model.layers[il].ffn_up_exps, + nullptr, + model.layers[il].ffn_down_exps, + nullptr, + hparams.n_expert, hparams.n_expert_used, + LLM_FFN_GELU, false, + hparams.expert_weights_scale, + LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, + il); cb(cur, "ffn_moe_out", il); } else if (model.arch == LLM_ARCH_BERT || model.arch == LLM_ARCH_NOMIC_BERT_MOE || model.arch == LLM_ARCH_JINA_BERT_V3) { diff --git a/src/models/bitnet.cpp b/src/models/bitnet.cpp index 331a3f1119..9f41b7d82d 100644 --- a/src/models/bitnet.cpp +++ b/src/models/bitnet.cpp @@ -2,9 +2,9 @@ llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; @@ -29,10 +29,7 @@ llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_pa // self-attention { // compute Q and K and RoPE them - ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur); - if (model.layers[il].wq_scale) { - Qcur = ggml_mul(ctx0, Qcur, model.layers[il].wq_scale); - } + ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur, model.layers[il].wq_s); cb(Qcur, "Qcur", il); if (model.layers[il].bq) { Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq); @@ -40,10 +37,7 @@ llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_pa } // B1.K - ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur); - if (model.layers[il].wk_scale) { - Kcur = ggml_mul(ctx0, Kcur, model.layers[il].wk_scale); - } + ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur, model.layers[il].wk_s); cb(Kcur, "Kcur", il); if (model.layers[il].bk) { Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk); @@ -51,10 +45,7 @@ llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_pa } // B1.V - ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur); - if (model.layers[il].wv_scale) { - Vcur = ggml_mul(ctx0, Vcur, model.layers[il].wv_scale); - } + ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur, model.layers[il].wv_s); cb(Vcur, "Vcur", il); if (model.layers[il].bv) { Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv); @@ -90,10 +81,7 @@ llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_pa LLM_NORM_RMS, il); cb(cur, "attn_sub_norm", il); - cur = build_lora_mm(model.layers[il].wo, cur); - if (model.layers[il].wo_scale) { - cur = ggml_mul(ctx0, cur, model.layers[il].wo_scale); - } + cur = build_lora_mm(model.layers[il].wo, cur, model.layers[il].wo_s); if (model.layers[il].bo) { cur = ggml_add(ctx0, cur, model.layers[il].bo); } @@ -115,8 +103,8 @@ llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_pa cb(cur, "ffn_norm", il); cur = build_ffn(cur, - model.layers[il].ffn_up, NULL, model.layers[il].ffn_up_scale, - model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate_scale, + model.layers[il].ffn_up, NULL, model.layers[il].ffn_up_s, + model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate_s, NULL, NULL, NULL, NULL, LLM_FFN_SILU, LLM_FFN_PAR, il); @@ -127,15 +115,15 @@ llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_pa LLM_NORM_RMS, il); cb(cur, "ffn_sub_norm", il); - cur = build_lora_mm(model.layers[il].ffn_down, cur); - if (model.layers[il].ffn_down_scale) { - cur = ggml_mul(ctx0, cur, model.layers[il].ffn_down_scale); - } + cur = build_lora_mm(model.layers[il].ffn_down, cur, model.layers[il].ffn_down_s); cb(cur, "ffn_down", il); cur = ggml_add(ctx0, cur, ffn_inp); cb(cur, "l_out", il); + cur = build_cvec(cur, il); + cb(cur, "l_out", il); + // input for next layer inpL = cur; } diff --git a/src/models/bloom.cpp b/src/models/bloom.cpp index 2c552d1d15..b1c19bb58a 100644 --- a/src/models/bloom.cpp +++ b/src/models/bloom.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_bloom::llm_build_bloom(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/chameleon.cpp b/src/models/chameleon.cpp index 184511aed4..2f24105fa1 100644 --- a/src/models/chameleon.cpp +++ b/src/models/chameleon.cpp @@ -3,10 +3,10 @@ #include llm_build_chameleon::llm_build_chameleon(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/chatglm.cpp b/src/models/chatglm.cpp index 2685d4fbcb..cd11581a55 100644 --- a/src/models/chatglm.cpp +++ b/src/models/chatglm.cpp @@ -2,10 +2,10 @@ llm_build_chatglm::llm_build_chatglm(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; @@ -111,8 +111,13 @@ llm_build_chatglm::llm_build_chatglm(const llama_model & model, const llm_graph_ } - inpL = ggml_add(ctx0, cur, ffn_inp); - cb(inpL, "l_out", il); + cur = ggml_add(ctx0, cur, ffn_inp); + + cur = build_cvec(cur, il); + cb(cur, "l_out", il); + + // input for next layer + inpL = cur; } cur = build_norm(inpL, diff --git a/src/models/codeshell.cpp b/src/models/codeshell.cpp index 0b3bdbff52..e8e13e143f 100644 --- a/src/models/codeshell.cpp +++ b/src/models/codeshell.cpp @@ -1,11 +1,11 @@ #include "models.h" llm_build_codeshell::llm_build_codeshell(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/cogvlm.cpp b/src/models/cogvlm.cpp index 0ceae3aaeb..fa7a54ba1c 100644 --- a/src/models/cogvlm.cpp +++ b/src/models/cogvlm.cpp @@ -2,11 +2,11 @@ llm_build_cogvlm::llm_build_cogvlm(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); const float kq_scale = 1.0f / sqrtf(float(n_embd_head)); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * inpL; ggml_tensor * cur; @@ -86,6 +86,10 @@ llm_build_cogvlm::llm_build_cogvlm(const llama_model & model, const llm_graph_pa cur = ggml_add(ctx0, cur, ffn_inp); cb(cur, "ffn_out", il); + cur = build_cvec(cur, il); + cb(cur, "l_out", il); + + // input for next layer inpL = cur; } diff --git a/src/models/cohere2-iswa.cpp b/src/models/cohere2-iswa.cpp index 9334b5e426..7c71a59ae7 100644 --- a/src/models/cohere2-iswa.cpp +++ b/src/models/cohere2-iswa.cpp @@ -1,9 +1,9 @@ #include "models.h" llm_build_cohere2_iswa::llm_build_cohere2_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); const float f_logit_scale = hparams.f_logit_scale; diff --git a/src/models/command-r.cpp b/src/models/command-r.cpp index 4d3b643b44..ba1230f041 100644 --- a/src/models/command-r.cpp +++ b/src/models/command-r.cpp @@ -4,9 +4,9 @@ llm_build_command_r::llm_build_command_r(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); const float f_logit_scale = hparams.f_logit_scale; diff --git a/src/models/dbrx.cpp b/src/models/dbrx.cpp index 6d2a0ebf1b..73eb5cd24e 100644 --- a/src/models/dbrx.cpp +++ b/src/models/dbrx.cpp @@ -1,12 +1,11 @@ #include "models.h" - llm_build_dbrx::llm_build_dbrx(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -89,7 +88,7 @@ llm_build_dbrx::llm_build_dbrx(const llama_model & model, const llm_graph_params nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(cur, "ffn_moe_out", il); diff --git a/src/models/deci.cpp b/src/models/deci.cpp index 7410a3a46d..ac448bfcaa 100644 --- a/src/models/deci.cpp +++ b/src/models/deci.cpp @@ -3,10 +3,10 @@ llm_build_deci::llm_build_deci(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/deepseek.cpp b/src/models/deepseek.cpp index 17866c0d88..3432359e03 100644 --- a/src/models/deepseek.cpp +++ b/src/models/deepseek.cpp @@ -1,13 +1,11 @@ #include "models.h" - - llm_build_deepseek::llm_build_deepseek(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -100,7 +98,7 @@ llm_build_deepseek::llm_build_deepseek(const llama_model & model, const llm_grap nullptr, n_expert, n_expert_used, LLM_FFN_SILU, false, - false, hparams.expert_weights_scale, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/deepseek2.cpp b/src/models/deepseek2.cpp index be81709c50..d437fe29e7 100644 --- a/src/models/deepseek2.cpp +++ b/src/models/deepseek2.cpp @@ -8,7 +8,7 @@ llm_build_deepseek2::llm_build_deepseek2(const llama_model & model, const llm_gr const int64_t n_embd_head_k = hparams.n_embd_head_k_mla(); const int64_t n_embd_head_v = hparams.n_embd_head_v_mla(); - const int64_t n_embd_head_qk_rope = hparams.n_rot; + const int64_t n_embd_head_qk_rope = hparams.n_rot(); const int64_t n_embd_head_qk_nope = n_embd_head_k - n_embd_head_qk_rope; const uint32_t kv_lora_rank = hparams.n_lora_kv; @@ -216,7 +216,7 @@ llm_build_deepseek2::llm_build_deepseek2(const llama_model & model, const llm_gr model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, hparams.expert_weights_norm, - hparams.expert_weights_scale, hparams.expert_weights_scale, + hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il, nullptr, diff --git a/src/models/delta-net-base.cpp b/src/models/delta-net-base.cpp index c57abbb5b7..6bc989c950 100644 --- a/src/models/delta-net-base.cpp +++ b/src/models/delta-net-base.cpp @@ -1,5 +1,7 @@ #include "models.h" +#include "llama-impl.h" + // utility to get one slice from the third dimension // input dim: [x, y, c, b] // output dim: [x, y, 1, b] @@ -223,9 +225,8 @@ std::pair llm_build_delta_net_base::build_delta_ne ggml_tensor * kg_t = ggml_cont(ctx0, ggml_transpose(ctx0, kg)); cb(kg_t, "key_gdiff_t", il); - ggml_tensor * s_t = ggml_transpose(ctx0, s); - s_t = ggml_cont_4d(ctx0, s_t, S_v, S_v, 1, H_v * n_seqs); - cb(s_t, "dnet_add_ch_state", il); + s = ggml_reshape_4d(ctx0, s, S_v, S_v, 1, H_v * n_seqs); + cb(s, "dnet_add_ch_state", il); // [CS, S_v, n_chunks, H_v * n_seqs] ggml_tensor * v_t = ggml_cont(ctx0, ggml_transpose(ctx0, v)); @@ -238,7 +239,7 @@ std::pair llm_build_delta_net_base::build_delta_ne ggml_tensor * ch_kg_t = get_slice_2d(ctx0, kg_t, chunk); // [ CS, S_k, 1, H_v * n_seqs] // [CS, S_v, 1, H_v * n_seqs] - ggml_tensor * v_t_p = ggml_mul_mat(ctx0, ch_k_cd, s_t); + ggml_tensor * v_t_p = ggml_mul_mat(ctx0, ch_k_cd, s); cb(v_t_p, "v_prime", il); // [CS, S_v, 1, H_v * n_seqs] @@ -250,7 +251,7 @@ std::pair llm_build_delta_net_base::build_delta_ne cb(v_attn, "v_attn", il); // [S_v, CS, 1, H_v * n_seqs] - ggml_tensor * attn_inter = ggml_mul_mat(ctx0, s_t, ch_q_g_exp); + ggml_tensor * attn_inter = ggml_mul_mat(ctx0, s, ch_q_g_exp); cb(attn_inter, "attn_inter", il); // [S_v, CS, 1, H_v * n_seqs] @@ -266,13 +267,11 @@ std::pair llm_build_delta_net_base::build_delta_ne // last_recurrent_state = last_recurrent_state * g_last + kgdmulvnew ggml_tensor * ch_g_last_exp_t = get_slice_2d(ctx0, g_last_exp_t, chunk); - s_t = ggml_mul(ctx0, s_t, ch_g_last_exp_t); - s_t = ggml_add(ctx0, s_t, kgv); - cb(s_t, "dnet_add_ch_state", il); + s = ggml_mul(ctx0, s, ch_g_last_exp_t); + s = ggml_add(ctx0, s, kgv); + cb(s, "dnet_add_ch_state", il); } - s_t = ggml_reshape_4d(ctx0, s_t, S_v, S_v, H_v, n_seqs); - // truncate padded tokens ggml_tensor * o = ggml_view_4d(ctx0, v, S_v, n_tokens, H_v, n_seqs, @@ -280,7 +279,7 @@ std::pair llm_build_delta_net_base::build_delta_ne ggml_row_size(v->type, S_v * CS * n_chunks), ggml_row_size(v->type, S_v * CS * n_chunks * H_v), 0); o = ggml_permute (ctx0, o, 0, 2, 1, 3); // [S_v, H_v, n_tokens, n_seqs] - s = ggml_transpose(ctx0, s_t); + s = ggml_reshape_4d(ctx0, s, S_v, S_v, H_v, n_seqs); cb(s, "output_state", il); return {o, s}; @@ -339,11 +338,9 @@ std::pair llm_build_delta_net_base::build_delta_ne g = ggml_exp(ctx0, g); s = ggml_mul(ctx0, s, g); - ggml_tensor * s_t = ggml_cont(ctx0, ggml_transpose(ctx0, s)); - // [1, S_v, H_v, n_seqs] ggml_tensor * sk; - sk = ggml_mul (ctx0, s_t, k); + sk = ggml_mul (ctx0, s, k); sk = ggml_sum_rows(ctx0, sk); // [S_v, 1, H_v, n_seqs] @@ -360,15 +357,89 @@ std::pair llm_build_delta_net_base::build_delta_ne k = ggml_repeat(ctx0, k, s); kd = ggml_mul (ctx0, k, d_t); - s_t = ggml_add(ctx0, s_t, kd); + s = ggml_add(ctx0, s, kd); - cb(s_t, "dnet_add_ar_state", il); + cb(s, "dnet_add_ar_state", il); - ggml_tensor * s_q = ggml_mul (ctx0, s_t, q); + ggml_tensor * s_q = ggml_mul (ctx0, s, q); ggml_tensor * o = ggml_sum_rows(ctx0, s_q); o = ggml_permute (ctx0, o, 2, 0, 1, 3); // [S_v, H_v, n_tokens, n_seqs] - s = ggml_transpose(ctx0, s_t); // [S_v, S_v, H_v, n_seqs] return {o, s}; } + +std::pair llm_build_delta_net_base::build_delta_net_fused( + ggml_tensor * q, + ggml_tensor * k, + ggml_tensor * v, + ggml_tensor * g, + ggml_tensor * b, + ggml_tensor * s, + int il) { + const int64_t S_k = q->ne[0]; + const int64_t H_k = q->ne[1]; + const int64_t n_tokens = q->ne[2]; + const int64_t n_seqs = q->ne[3]; + + const int64_t S_v = v->ne[0]; + const int64_t H_v = v->ne[1]; + + GGML_ASSERT(S_k == S_v); + GGML_ASSERT(H_v % H_k == 0); + + GGML_ASSERT(q->ne[0] == S_k && q->ne[1] == H_k && q->ne[2] == n_tokens && q->ne[3] == n_seqs); + GGML_ASSERT(k->ne[0] == S_k && k->ne[1] == H_k && k->ne[2] == n_tokens && k->ne[3] == n_seqs); + GGML_ASSERT(v->ne[0] == S_v && v->ne[1] == H_v && v->ne[2] == n_tokens && v->ne[3] == n_seqs); + + GGML_ASSERT(g->ne[0] == 1 || g->ne[0] == S_v); + GGML_ASSERT( g->ne[1] == H_v && g->ne[2] == n_tokens && g->ne[3] == n_seqs); + GGML_ASSERT(b->ne[0] == 1 && b->ne[1] == H_v && b->ne[2] == n_tokens && b->ne[3] == n_seqs); + GGML_ASSERT(s->ne[0] == S_v && s->ne[1] == S_v && s->ne[2] == H_v && s->ne[3] == n_seqs); + + ggml_tensor * result = ggml_gated_delta_net(ctx0, q, k, v, g, b, s); + if (n_tokens == 1) { + cb(result, LLAMA_TENSOR_NAME_FGDN_AR, il); + } else { + cb(result, LLAMA_TENSOR_NAME_FGDN_CH, il); + } + + ggml_tensor * output = ggml_view_4d(ctx0, result, + S_v, H_v, n_tokens, n_seqs, + ggml_row_size(result->type, S_v), + ggml_row_size(result->type, S_v * H_v), + ggml_row_size(result->type, S_v * H_v * n_tokens), 0); + + ggml_tensor * new_state = ggml_view_4d(ctx0, result, + S_v, S_v, H_v, n_seqs, + ggml_row_size(result->type, S_v), + ggml_row_size(result->type, S_v * S_v), + ggml_row_size(result->type, S_v * S_v * H_v), + ggml_row_size(result->type, S_v * H_v * n_tokens * n_seqs)); + + return {output, new_state}; +} + +std::pair llm_build_delta_net_base::build_delta_net( + ggml_tensor * q, + ggml_tensor * k, + ggml_tensor * v, + ggml_tensor * g, + ggml_tensor * b, + ggml_tensor * s, + int il) { + const int64_t n_seq_tokens = q->ne[2]; + + if (n_seq_tokens == 1) { + if (cparams.fused_gdn_ar) { + return build_delta_net_fused(q, k, v, g, b, s, il); + } + return build_delta_net_autoregressive(q, k, v, g, b, s, il); + } + + if (cparams.fused_gdn_ch) { + return build_delta_net_fused(q, k, v, g, b, s, il); + } + + return build_delta_net_chunking(q, k, v, g, b, s, il); +} diff --git a/src/models/dots1.cpp b/src/models/dots1.cpp index 09c36f82fe..07236dd27c 100644 --- a/src/models/dots1.cpp +++ b/src/models/dots1.cpp @@ -1,13 +1,11 @@ #include "models.h" - - llm_build_dots1::llm_build_dots1(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -91,7 +89,7 @@ llm_build_dots1::llm_build_dots1(const llama_model & model, const llm_graph_para model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, hparams.expert_weights_norm, - true, hparams.expert_weights_scale, + hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/dream.cpp b/src/models/dream.cpp index 2aafbae139..4edc8530cb 100644 --- a/src/models/dream.cpp +++ b/src/models/dream.cpp @@ -5,10 +5,10 @@ llm_build_dream::llm_build_dream(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { //copied from qwen2 - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/ernie4-5-moe.cpp b/src/models/ernie4-5-moe.cpp index 0d96d14e6f..63baf152c4 100644 --- a/src/models/ernie4-5-moe.cpp +++ b/src/models/ernie4-5-moe.cpp @@ -1,13 +1,11 @@ #include "models.h" - - llm_build_ernie4_5_moe::llm_build_ernie4_5_moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -103,7 +101,7 @@ llm_build_ernie4_5_moe::llm_build_ernie4_5_moe(const llama_model & model, const model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/ernie4-5.cpp b/src/models/ernie4-5.cpp index 99aead5328..d548de0547 100644 --- a/src/models/ernie4-5.cpp +++ b/src/models/ernie4-5.cpp @@ -2,10 +2,10 @@ llm_build_ernie4_5::llm_build_ernie4_5(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/eurobert.cpp b/src/models/eurobert.cpp index 86e3176edc..4ca9af873e 100644 --- a/src/models/eurobert.cpp +++ b/src/models/eurobert.cpp @@ -1,9 +1,9 @@ #include "models.h" llm_build_eurobert::llm_build_eurobert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; @@ -82,6 +82,7 @@ llm_build_eurobert::llm_build_eurobert(const llama_model & model, const llm_grap cur = ggml_add(ctx0, cur, ffn_inp); + // input for next layer inpL = cur; } cur = inpL; diff --git a/src/models/exaone-moe.cpp b/src/models/exaone-moe.cpp index bef5b2ad35..ea75701c52 100644 --- a/src/models/exaone-moe.cpp +++ b/src/models/exaone-moe.cpp @@ -1,12 +1,11 @@ #include "models.h" - llm_build_exaone_moe::llm_build_exaone_moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_k; + const int64_t n_embd_head = hparams.n_embd_head_k(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_v); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_v()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -100,7 +99,7 @@ llm_build_exaone_moe::llm_build_exaone_moe(const llama_model & model, const llm_ model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, hparams.expert_weights_norm, - true, hparams.expert_weights_scale, + hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/exaone.cpp b/src/models/exaone.cpp index 62602b284d..d4eea58e2f 100644 --- a/src/models/exaone.cpp +++ b/src/models/exaone.cpp @@ -4,10 +4,10 @@ llm_build_exaone::llm_build_exaone(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/exaone4.cpp b/src/models/exaone4.cpp index 8b7e3dc06e..755af3b747 100644 --- a/src/models/exaone4.cpp +++ b/src/models/exaone4.cpp @@ -4,10 +4,10 @@ template llm_build_exaone4::llm_build_exaone4(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_k; + const int64_t n_embd_head = hparams.n_embd_head_k(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_v); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_v()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/falcon-h1.cpp b/src/models/falcon-h1.cpp index 785a7e5e66..ff842d93a4 100644 --- a/src/models/falcon-h1.cpp +++ b/src/models/falcon-h1.cpp @@ -2,7 +2,7 @@ llm_build_falcon_h1::llm_build_falcon_h1(const llama_model & model, const llm_graph_params & params) : llm_build_mamba_base(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/falcon.cpp b/src/models/falcon.cpp index db1ccdb500..9fcba50887 100644 --- a/src/models/falcon.cpp +++ b/src/models/falcon.cpp @@ -2,11 +2,11 @@ llm_build_falcon::llm_build_falcon(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/gemma-embedding.cpp b/src/models/gemma-embedding.cpp index 944c198bf9..98110d45e3 100644 --- a/src/models/gemma-embedding.cpp +++ b/src/models/gemma-embedding.cpp @@ -2,7 +2,7 @@ llm_build_gemma_embedding::llm_build_gemma_embedding(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_k; + const int64_t n_embd_head = hparams.n_embd_head_k(); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/gemma.cpp b/src/models/gemma.cpp index 4893d9af4b..1869efd389 100644 --- a/src/models/gemma.cpp +++ b/src/models/gemma.cpp @@ -2,7 +2,7 @@ llm_build_gemma::llm_build_gemma(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/gemma2-iswa.cpp b/src/models/gemma2-iswa.cpp index 7a9198193a..3927ddd297 100644 --- a/src/models/gemma2-iswa.cpp +++ b/src/models/gemma2-iswa.cpp @@ -1,7 +1,7 @@ #include "models.h" llm_build_gemma2_iswa::llm_build_gemma2_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_k; + const int64_t n_embd_head = hparams.n_embd_head_k(); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/gemma3.cpp b/src/models/gemma3.cpp index dec3fc4b8b..bbb4d9a81e 100644 --- a/src/models/gemma3.cpp +++ b/src/models/gemma3.cpp @@ -2,7 +2,7 @@ template llm_build_gemma3::llm_build_gemma3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_k; + const int64_t n_embd_head = hparams.n_embd_head_k(); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/gemma3n-iswa.cpp b/src/models/gemma3n-iswa.cpp index 7db6d3bf4e..8ce2ae39c2 100644 --- a/src/models/gemma3n-iswa.cpp +++ b/src/models/gemma3n-iswa.cpp @@ -3,7 +3,7 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params), model(model), - n_embd_head(model.hparams.n_embd_head_k), + n_embd_head(model.hparams.n_embd_head_k()), n_embd_altup(model.hparams.n_embd_altup), n_altup(model.hparams.n_altup), i_altup_act(model.hparams.i_altup_act) { diff --git a/src/models/glm4-moe.cpp b/src/models/glm4-moe.cpp index 003f70f739..7938545ed8 100644 --- a/src/models/glm4-moe.cpp +++ b/src/models/glm4-moe.cpp @@ -1,9 +1,9 @@ #include "models.h" llm_build_glm4_moe::llm_build_glm4_moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); int sections[4]; std::copy(std::begin(hparams.rope_sections), std::begin(hparams.rope_sections) + 4, sections); @@ -128,7 +128,7 @@ llm_build_glm4_moe::llm_build_glm4_moe(const llama_model & model, const llm_grap model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, hparams.expert_weights_norm, - true, hparams.expert_weights_scale, + hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il); cb(routed_out, "ffn_moe_out", il); diff --git a/src/models/glm4.cpp b/src/models/glm4.cpp index bcd837b30d..b6ad8febed 100644 --- a/src/models/glm4.cpp +++ b/src/models/glm4.cpp @@ -3,10 +3,10 @@ llm_build_glm4::llm_build_glm4(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); int sections[4]; std::copy(std::begin(hparams.rope_sections), std::begin(hparams.rope_sections) + 4, sections); diff --git a/src/models/gpt2.cpp b/src/models/gpt2.cpp index 60761c8e76..cb1238f2d3 100644 --- a/src/models/gpt2.cpp +++ b/src/models/gpt2.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_gpt2::llm_build_gpt2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * pos; diff --git a/src/models/gptneox.cpp b/src/models/gptneox.cpp index 2151b14e93..1c8fe6c836 100644 --- a/src/models/gptneox.cpp +++ b/src/models/gptneox.cpp @@ -2,10 +2,10 @@ llm_build_gptneox::llm_build_gptneox(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/granite-hybrid.cpp b/src/models/granite-hybrid.cpp index 726ecdcca7..9b54a38c38 100644 --- a/src/models/granite-hybrid.cpp +++ b/src/models/granite-hybrid.cpp @@ -1,10 +1,9 @@ #include "models.h" - llm_build_granite_hybrid::llm_build_granite_hybrid(const llama_model & model, const llm_graph_params & params) : llm_build_mamba_base(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + const int64_t n_embd_head = hparams.n_embd_head_v(); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; @@ -160,7 +159,7 @@ ggml_tensor * llm_build_granite_hybrid::build_layer_ffn(ggml_tensor * cur, nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/granite.cpp b/src/models/granite.cpp index 18748e9c26..7a7e1664c2 100644 --- a/src/models/granite.cpp +++ b/src/models/granite.cpp @@ -1,15 +1,14 @@ #include "models.h" - llm_build_granite::llm_build_granite( const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -175,7 +174,7 @@ ggml_tensor * llm_build_granite::build_layer_ffn( nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/grok.cpp b/src/models/grok.cpp index 3c54dfee63..580d63e36a 100644 --- a/src/models/grok.cpp +++ b/src/models/grok.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_grok::llm_build_grok(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -99,7 +99,7 @@ llm_build_grok::llm_build_grok(const llama_model & model, const llm_graph_params nullptr, n_expert, n_expert_used, LLM_FFN_GELU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/grovemoe.cpp b/src/models/grovemoe.cpp index 56b6db9a3d..aa60d3e938 100644 --- a/src/models/grovemoe.cpp +++ b/src/models/grovemoe.cpp @@ -1,14 +1,12 @@ #include "models.h" - - llm_build_grovemoe::llm_build_grovemoe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); const int64_t n_chunk_expert = n_expert / hparams.n_group_experts; - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -90,7 +88,7 @@ llm_build_grovemoe::llm_build_grovemoe(const llama_model & model, const llm_grap nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il, probs); @@ -106,7 +104,7 @@ llm_build_grovemoe::llm_build_grovemoe(const llama_model & model, const llm_grap nullptr, n_chunk_expert, n_expert_used > n_chunk_expert ? n_chunk_expert : n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il, probs); diff --git a/src/models/hunyuan-dense.cpp b/src/models/hunyuan-dense.cpp index 7d5dcc7828..6a51707c85 100644 --- a/src/models/hunyuan-dense.cpp +++ b/src/models/hunyuan-dense.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_hunyuan_dense::llm_build_hunyuan_dense(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/hunyuan-moe.cpp b/src/models/hunyuan-moe.cpp index 77e39de5b8..806c30b366 100644 --- a/src/models/hunyuan-moe.cpp +++ b/src/models/hunyuan-moe.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_hunyuan_moe::llm_build_hunyuan_moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -119,8 +119,7 @@ llm_build_hunyuan_moe::llm_build_hunyuan_moe(const llama_model & model, const ll n_expert, n_expert_used, LLM_FFN_SILU, true, // norm_topk_prob - false, - 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(cur_moe, "ffn_moe_out", il); diff --git a/src/models/internlm2.cpp b/src/models/internlm2.cpp index 387e821127..441d250268 100644 --- a/src/models/internlm2.cpp +++ b/src/models/internlm2.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_internlm2::llm_build_internlm2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/jais.cpp b/src/models/jais.cpp index 3e3376e6a6..b28243901a 100644 --- a/src/models/jais.cpp +++ b/src/models/jais.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_jais::llm_build_jais(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; @@ -66,8 +66,14 @@ llm_build_jais::llm_build_jais(const llama_model & model, const llm_graph_params LLM_FFN_SILU, LLM_FFN_PAR, il); cb(cur, "ffn_out", il); } - inpL = ggml_add(ctx0, cur, ffn_inp); - cb(inpL, "l_out", il); + + cur = ggml_add(ctx0, cur, ffn_inp); + + cur = build_cvec(cur, il); + cb(cur, "l_out", il); + + // input for next layer + inpL = cur; } cur = build_norm(inpL, model.output_norm, diff --git a/src/models/jais2.cpp b/src/models/jais2.cpp index a69fcaa3bb..2cfe484eb5 100644 --- a/src/models/jais2.cpp +++ b/src/models/jais2.cpp @@ -3,10 +3,10 @@ // JAIS-2 model graph builder // Uses: LayerNorm (not RMSNorm), relu2 activation, separate Q/K/V, RoPE embeddings llm_build_jais2::llm_build_jais2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/jamba.cpp b/src/models/jamba.cpp index ceab581740..c0c89de187 100644 --- a/src/models/jamba.cpp +++ b/src/models/jamba.cpp @@ -1,7 +1,7 @@ #include "models.h" llm_build_jamba::llm_build_jamba(const llama_model & model, const llm_graph_params & params) : llm_build_mamba_base(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); ggml_tensor * cur; ggml_tensor * inpL; @@ -76,7 +76,7 @@ llm_build_jamba::llm_build_jamba(const llama_model & model, const llm_graph_para nullptr, n_expert, n_expert_used, LLM_FFN_SILU, false, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(cur, "ffn_moe_out", il); diff --git a/src/models/kimi-linear.cpp b/src/models/kimi-linear.cpp index 83d11241f8..f189b71076 100644 --- a/src/models/kimi-linear.cpp +++ b/src/models/kimi-linear.cpp @@ -1,5 +1,4 @@ #include "models.h" -#include "ggml.h" #include "llama-memory-recurrent.h" @@ -103,7 +102,7 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll const int64_t kv_lora_rank = hparams.n_lora_kv; // qk_rope_head_dim = 64 (from Kimi config) which is hparams.n_rot // Confirmed from tensor shape: wkv_a_mqa [2304, 576] = [n_embd, kv_lora_rank + qk_rope_head_dim] - const int64_t n_embd_head_qk_rope = hparams.n_rot; // config.qk_rope_head_dim + const int64_t n_embd_head_qk_rope = hparams.n_rot(); // config.qk_rope_head_dim const int64_t n_embd_head_qk_nope = n_embd_head_k_mla - n_embd_head_qk_rope; // 192 - 64 = 128 // Attention scale for MLA const float kq_scale_mla = 1.0f / sqrtf((float)n_embd_head_k_mla); @@ -118,12 +117,7 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll ggml_build_forward_expand(gf, cur); - // Check layer type by checking which tensors exist - // KDA layers have ssm_a_log tensor, MLA layers have wkv_a_mqa tensor - bool is_kda = (layer.ssm_a != nullptr); - bool is_mla = (layer.wkv_a_mqa != nullptr); - - if (is_kda) { + if (hparams.is_recurrent(il)) { // === KDA Layer (Kimi Delta Attention) with Recurrent State === // Reference: vLLM kda.py const auto * mctx_cur = inp_rs->mctx; @@ -175,9 +169,7 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll Kcur = ggml_l2_norm(ctx0, Kcur, eps_norm); // Choose between build_delta_net_chunking and build_delta_net_recurrent based on n_tokens - std::pair attn_out = n_seq_tokens == 1 ? - build_delta_net_autoregressive(Qcur, Kcur, Vcur, g1, beta, state, il) : - build_delta_net_chunking(Qcur, Kcur, Vcur, g1, beta, state, il); + auto attn_out = build_delta_net(Qcur, Kcur, Vcur, g1, beta, state, il); ggml_tensor * output = ggml_cont(ctx0, attn_out.first); ggml_tensor * new_state = attn_out.second; @@ -211,7 +203,7 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll cur = ggml_mul_mat(ctx0, layer.wo, gated); cb(cur, "kda_out", il); - } else if (is_mla) { + } else { // === MLA Layer (Multi-head Latent Attention) without KV Cache === // Reference: vLLM mla.py // Step 1: Q projection and reshape @@ -310,9 +302,6 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll cur = build_attn(inp_attn_kv, layer.wo, NULL, Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale_mla, il); cb(cur, "mla_out", il); } - } else { - // Unknown layer type - this should not happen - GGML_ABORT("Kimi layer is neither KDA nor MLA - missing required tensors"); } // On last layer, select only the output tokens @@ -349,7 +338,7 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll hparams.n_expert, hparams.n_expert_used, LLM_FFN_SILU, true, - true, hparams.expert_weights_scale, + hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il); cb(moe_out, "ffn_moe_out", il); @@ -373,6 +362,7 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll cur = build_cvec(cur, il); cb(cur, "l_out", il); + // input for next layer inpL = cur; } cur = inpL; diff --git a/src/models/lfm2.cpp b/src/models/lfm2.cpp index cf01ad6255..925c3dc9b2 100644 --- a/src/models/lfm2.cpp +++ b/src/models/lfm2.cpp @@ -23,17 +23,23 @@ llm_build_lfm2::llm_build_lfm2(const llama_model & model, const llm_graph_ }; auto build_moe_feed_forward = [&model, this](ggml_tensor * cur, int il) -> ggml_tensor * { return build_moe_ffn(cur, - model.layers[il].ffn_gate_inp, model.layers[il].ffn_up_exps, - model.layers[il].ffn_gate_exps, model.layers[il].ffn_down_exps, - model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, true, false, 0.0, - static_cast(hparams.expert_gating_func), il); + model.layers[il].ffn_gate_inp, + model.layers[il].ffn_up_exps, + model.layers[il].ffn_gate_exps, + model.layers[il].ffn_down_exps, + model.layers[il].ffn_exp_probs_b, + n_expert, n_expert_used, + LLM_FFN_SILU, true, + hparams.expert_weights_scale, + static_cast(hparams.expert_gating_func), + il); }; auto build_attn_block = [&model, this](ggml_tensor * cur, ggml_tensor * inp_pos, inp_attn_type * inp_attn, int il) -> ggml_tensor * { GGML_ASSERT(hparams.n_embd_v_gqa(il) == hparams.n_embd_k_gqa(il)); - const auto n_embd_head = hparams.n_embd_head_v; + const auto n_embd_head = hparams.n_embd_head_v(); const auto n_head_kv = hparams.n_head_kv(il); auto * q = build_lora_mm(model.layers[il].wq, cur); @@ -171,6 +177,9 @@ llm_build_lfm2::llm_build_lfm2(const llama_model & model, const llm_graph_ cb(ffn_norm_out, "model.layers.{}.ffn_out", il); cur = ggml_add(ctx0, cur, ffn_out); + + cur = build_cvec(cur, il); + cb(cur, "l_out", il); } cur = build_norm(cur, model.output_norm, NULL, LLM_NORM_RMS, -1); diff --git a/src/models/llada-moe.cpp b/src/models/llada-moe.cpp index 5f64686f5f..18de88fde1 100644 --- a/src/models/llada-moe.cpp +++ b/src/models/llada-moe.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_llada_moe::llm_build_llada_moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -90,7 +90,7 @@ llm_build_llada_moe::llm_build_llada_moe(const llama_model & model, const llm_gr nullptr, n_expert, n_expert_used, LLM_FFN_SILU, false, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(cur, "ffn_moe_out", il); diff --git a/src/models/llada.cpp b/src/models/llada.cpp index 857033660a..0dac9d616a 100644 --- a/src/models/llada.cpp +++ b/src/models/llada.cpp @@ -2,10 +2,10 @@ llm_build_llada::llm_build_llada(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { // LLaDA is similar to LLaMA but uses non-causal attention for diffusion - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/llama-iswa.cpp b/src/models/llama-iswa.cpp index 61dd2c179f..67cb9a10ec 100644 --- a/src/models/llama-iswa.cpp +++ b/src/models/llama-iswa.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_llama_iswa::llm_build_llama_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -134,7 +134,7 @@ llm_build_llama_iswa::llm_build_llama_iswa(const llama_model & model, const llm_ nullptr, n_expert, n_expert_used, LLM_FFN_SILU, false, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID, il); diff --git a/src/models/llama.cpp b/src/models/llama.cpp index 42b5fcdf42..e08ae0c0b0 100644 --- a/src/models/llama.cpp +++ b/src/models/llama.cpp @@ -2,10 +2,10 @@ template llm_build_llama::llm_build_llama(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -43,19 +43,19 @@ llm_build_llama::llm_build_llama(const llama_model & model, const llm_gra ggml_tensor * rope_factors = model.get_rope_factors(cparams, il); // compute Q and K and RoPE them - ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur); + ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur, model.layers[il].wq_s); cb(Qcur, "Qcur", il); if (model.layers[il].bq) { Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq); cb(Qcur, "Qcur", il); } - ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur); + ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur, model.layers[il].wk_s); cb(Kcur, "Kcur", il); if (model.layers[il].bk) { Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk); cb(Kcur, "Kcur", il); } - ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur); + ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur, model.layers[il].wv_s); cb(Vcur, "Vcur", il); if (model.layers[il].bv) { Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv); @@ -91,6 +91,9 @@ llm_build_llama::llm_build_llama(const llama_model & model, const llm_gra cur = build_attn(inp_attn, model.layers[il].wo, model.layers[il].bo, Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il); + if (model.layers[il].wo_s) { + cur = ggml_mul(ctx0, cur, model.layers[il].wo_s); + } cb(cur, "attn_out", il); } if (il == n_layer - 1 && inp_out_ids) { @@ -109,9 +112,9 @@ llm_build_llama::llm_build_llama(const llama_model & model, const llm_gra cb(cur, "ffn_norm", il); cur = build_ffn(cur, - model.layers[il].ffn_up, model.layers[il].ffn_up_b, NULL, - model.layers[il].ffn_gate, model.layers[il].ffn_gate_b, NULL, - model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL, + model.layers[il].ffn_up, model.layers[il].ffn_up_b, model.layers[il].ffn_up_s, + model.layers[il].ffn_gate, model.layers[il].ffn_gate_b, model.layers[il].ffn_gate_s, + model.layers[il].ffn_down, model.layers[il].ffn_down_b, model.layers[il].ffn_down_s, NULL, LLM_FFN_SILU, LLM_FFN_PAR, il); cb(cur, "ffn_out", il); @@ -130,9 +133,13 @@ llm_build_llama::llm_build_llama(const llama_model & model, const llm_gra nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, - il); + il, + nullptr, nullptr, + model.layers[il].ffn_up_exps_s, + model.layers[il].ffn_gate_exps_s, + model.layers[il].ffn_down_exps_s); cb(cur, "ffn_moe_out", il); } cur = ggml_add(ctx0, cur, ffn_inp); diff --git a/src/models/maincoder.cpp b/src/models/maincoder.cpp index da57308167..a72b7790a1 100644 --- a/src/models/maincoder.cpp +++ b/src/models/maincoder.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_maincoder::llm_build_maincoder(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/mamba-base.cpp b/src/models/mamba-base.cpp index aaac9487df..c37f29c487 100644 --- a/src/models/mamba-base.cpp +++ b/src/models/mamba-base.cpp @@ -30,6 +30,7 @@ ggml_tensor * llm_build_mamba_base::build_mamba_layer(llm_graph_input_rs * inp, GGML_ASSERT(n_seqs != 0); GGML_ASSERT(ubatch.equal_seqs()); GGML_ASSERT(ubatch.n_tokens == n_seq_tokens * n_seqs); + GGML_ASSERT(d_inner % n_head == 0); ggml_tensor * conv_states_all = mctx_cur->get_r_l(il); ggml_tensor * ssm_states_all = mctx_cur->get_s_l(il); @@ -41,7 +42,7 @@ ggml_tensor * llm_build_mamba_base::build_mamba_layer(llm_graph_input_rs * inp, cur = ggml_reshape_3d(ctx0, cur, cur->ne[0], n_seq_tokens, n_seqs); // {n_embd, 2*d_inner} @ {n_embd, n_seq_tokens, n_seqs} => {2*d_inner, n_seq_tokens, n_seqs} - ggml_tensor * xz = build_lora_mm(layer.ssm_in, cur); + ggml_tensor * xz = build_lora_mm(layer.ssm_in, cur, layer.ssm_in_s); // split the above in two // => {d_inner, n_seq_tokens, n_seqs} ggml_tensor * x = ggml_view_3d(ctx0, xz, d_inner, xz->ne[1], xz->ne[2], xz->nb[1], xz->nb[2], 0); @@ -136,7 +137,7 @@ ggml_tensor * llm_build_mamba_base::build_mamba_layer(llm_graph_input_rs * inp, y = ggml_swiglu_split(ctx0, ggml_cont(ctx0, z), y); // {d_inner, n_embd} @ {d_inner, n_seq_tokens, n_seqs} => {n_embd, n_seq_tokens, n_seqs} - cur = build_lora_mm(layer.ssm_out, y); + cur = build_lora_mm(layer.ssm_out, y, layer.ssm_out_s); } // {n_embd, n_seq_tokens, n_seqs} => {n_embd, n_tokens} @@ -167,6 +168,9 @@ ggml_tensor * llm_build_mamba_base::build_mamba2_layer(llm_graph_input_rs * inp, GGML_ASSERT(n_seqs != 0); GGML_ASSERT(ubatch.equal_seqs()); GGML_ASSERT(ubatch.n_tokens == n_seq_tokens * n_seqs); + GGML_ASSERT(d_inner % n_head == 0); + GGML_ASSERT(d_inner % d_state == 0); + GGML_ASSERT(d_inner % n_group == 0); ggml_tensor * conv_states_all = mctx_cur->get_r_l(il); ggml_tensor * ssm_states_all = mctx_cur->get_s_l(il); @@ -180,7 +184,7 @@ ggml_tensor * llm_build_mamba_base::build_mamba2_layer(llm_graph_input_rs * inp, // d_in_proj = 2 * self.d_inner + 2 * self.ngroups * self.d_state + self.nheads // {n_embd, d_in_proj} @ {n_embd, n_seq_tokens, n_seqs} => {d_in_proj, n_seq_tokens, n_seqs} - ggml_tensor * zxBCdt = build_lora_mm(model.layers[il].ssm_in, cur); + ggml_tensor * zxBCdt = build_lora_mm(model.layers[il].ssm_in, cur, model.layers[il].ssm_in_s); // split the above in three ggml_tensor * z = ggml_view_4d(ctx0, zxBCdt, head_dim, n_head, n_seq_tokens, n_seqs, head_dim * zxBCdt->nb[0], @@ -274,7 +278,7 @@ ggml_tensor * llm_build_mamba_base::build_mamba2_layer(llm_graph_input_rs * inp, y = ggml_reshape_3d(ctx0, y, d_inner, n_seq_tokens, n_seqs); // {d_inner, n_embd} @ {d_inner, n_seq_tokens, n_seqs} => {n_embd, n_seq_tokens, n_seqs} - cur = build_lora_mm(model.layers[il].ssm_out, y); + cur = build_lora_mm(model.layers[il].ssm_out, y, model.layers[il].ssm_out_s); } // {n_embd, n_seq_tokens, n_seqs} => {n_embd, n_tokens} diff --git a/src/models/mimo2-iswa.cpp b/src/models/mimo2-iswa.cpp index edc87cc9f0..06956915ea 100644 --- a/src/models/mimo2-iswa.cpp +++ b/src/models/mimo2-iswa.cpp @@ -1,4 +1,3 @@ - #include "models.h" llm_build_mimo2_iswa::llm_build_mimo2_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { @@ -88,10 +87,17 @@ llm_build_mimo2_iswa::llm_build_mimo2_iswa(const llama_model & model, const llm_ cb(cur, "ffn_out", il); } else { // MoE branch - cur = build_moe_ffn(cur, model.layers[il].ffn_gate_inp, model.layers[il].ffn_up_exps, - model.layers[il].ffn_gate_exps, model.layers[il].ffn_down_exps, - model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, true, false, - 0.0, LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID, il); + cur = build_moe_ffn(cur, + model.layers[il].ffn_gate_inp, + model.layers[il].ffn_up_exps, + model.layers[il].ffn_gate_exps, + model.layers[il].ffn_down_exps, + model.layers[il].ffn_exp_probs_b, + n_expert, n_expert_used, + LLM_FFN_SILU, true, + hparams.expert_weights_scale, + LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID, + il); cb(cur, "ffn_moe_out", il); } diff --git a/src/models/minicpm3.cpp b/src/models/minicpm3.cpp index 297cc34ba5..89dd710515 100644 --- a/src/models/minicpm3.cpp +++ b/src/models/minicpm3.cpp @@ -5,10 +5,10 @@ llm_build_minicpm3::llm_build_minicpm3(const llama_model & model, const llm_grap const int64_t n_embd_base = 256; const float scale_embd = 12.0f; const float scale_depth = 1.4f; - const float kq_scale = 1.0f / sqrtf(float(hparams.n_embd_head_k)); + const float kq_scale = 1.0f / sqrtf(float(hparams.n_embd_head_k())); - const uint32_t n_embd_head_qk_rope = hparams.n_rot; - const uint32_t n_embd_head_qk_nope = hparams.n_embd_head_k - hparams.n_rot; + const uint32_t n_embd_head_qk_rope = hparams.n_rot(); + const uint32_t n_embd_head_qk_nope = hparams.n_embd_head_k() - hparams.n_rot(); const uint32_t kv_lora_rank = hparams.n_lora_kv; @@ -51,21 +51,21 @@ llm_build_minicpm3::llm_build_minicpm3(const llama_model & model, const llm_grap LLM_NORM_RMS, il); cb(q, "q", il); - // {q_lora_rank, n_head * hparams.n_embd_head_k} * {q_lora_rank, n_tokens} -> {n_head * hparams.n_embd_head_k, n_tokens} + // {q_lora_rank, n_head * hparams.n_embd_head_k()} * {q_lora_rank, n_tokens} -> {n_head * hparams.n_embd_head_k(), n_tokens} q = ggml_mul_mat(ctx0, model.layers[il].wq_b, q); cb(q, "q", il); // split into {n_head * n_embd_head_qk_nope, n_tokens} ggml_tensor * q_nope = ggml_view_3d(ctx0, q, n_embd_head_qk_nope, n_head, n_tokens, - ggml_row_size(q->type, hparams.n_embd_head_k), - ggml_row_size(q->type, hparams.n_embd_head_k * n_head), + ggml_row_size(q->type, hparams.n_embd_head_k()), + ggml_row_size(q->type, hparams.n_embd_head_k() * n_head), 0); cb(q_nope, "q_nope", il); // and {n_head * n_embd_head_qk_rope, n_tokens} ggml_tensor * q_pe = ggml_view_3d(ctx0, q, n_embd_head_qk_rope, n_head, n_tokens, - ggml_row_size(q->type, hparams.n_embd_head_k), - ggml_row_size(q->type, hparams.n_embd_head_k * n_head), + ggml_row_size(q->type, hparams.n_embd_head_k()), + ggml_row_size(q->type, hparams.n_embd_head_k() * n_head), ggml_row_size(q->type, n_embd_head_qk_nope)); cb(q_pe, "q_pe", il); @@ -97,15 +97,15 @@ llm_build_minicpm3::llm_build_minicpm3(const llama_model & model, const llm_grap // split into {n_head * n_embd_head_qk_nope, n_tokens} ggml_tensor * k_nope = ggml_view_3d(ctx0, kv, n_embd_head_qk_nope, n_head, n_tokens, - ggml_row_size(kv->type, n_embd_head_qk_nope + hparams.n_embd_head_v), - ggml_row_size(kv->type, n_head * (n_embd_head_qk_nope + hparams.n_embd_head_v)), + ggml_row_size(kv->type, n_embd_head_qk_nope + hparams.n_embd_head_v()), + ggml_row_size(kv->type, n_head * (n_embd_head_qk_nope + hparams.n_embd_head_v())), 0); cb(k_nope, "k_nope", il); // and {n_head * n_embd_head_v, n_tokens} - ggml_tensor * v_states = ggml_view_3d(ctx0, kv, hparams.n_embd_head_v, n_head, n_tokens, - ggml_row_size(kv->type, (n_embd_head_qk_nope + hparams.n_embd_head_v)), - ggml_row_size(kv->type, (n_embd_head_qk_nope + hparams.n_embd_head_v)*n_head), + ggml_tensor * v_states = ggml_view_3d(ctx0, kv, hparams.n_embd_head_v(), n_head, n_tokens, + ggml_row_size(kv->type, (n_embd_head_qk_nope + hparams.n_embd_head_v())), + ggml_row_size(kv->type, (n_embd_head_qk_nope + hparams.n_embd_head_v())*n_head), ggml_row_size(kv->type, (n_embd_head_qk_nope))); cb(v_states, "v_states", il); diff --git a/src/models/minimax-m2.cpp b/src/models/minimax-m2.cpp index f7001badf7..83d0916c08 100644 --- a/src/models/minimax-m2.cpp +++ b/src/models/minimax-m2.cpp @@ -1,11 +1,10 @@ - #include "models.h" llm_build_minimax_m2::llm_build_minimax_m2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - // GGML_ASSERT(n_embd_head == hparams.n_rot); this is wrong in case of minimax, head_dim = 128, n_rot = 64 + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + // GGML_ASSERT(n_embd_head == n_rot); this is wrong in case of minimax, head_dim = 128, n_rot = 64 ggml_tensor * cur; ggml_tensor * inpL; @@ -91,7 +90,7 @@ llm_build_minimax_m2::llm_build_minimax_m2(const llama_model & model, const llm_ model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il); cb(cur, "ffn_moe_out", il); diff --git a/src/models/mistral3.cpp b/src/models/mistral3.cpp index 0b67223591..42a5117ff0 100644 --- a/src/models/mistral3.cpp +++ b/src/models/mistral3.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_mistral3::llm_build_mistral3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -127,7 +127,7 @@ llm_build_mistral3::llm_build_mistral3(const llama_model & model, const llm_grap nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(cur, "ffn_moe_out", il); diff --git a/src/models/models.h b/src/models/models.h index cf9ba04e7f..a86b2b1ebd 100644 --- a/src/models/models.h +++ b/src/models/models.h @@ -44,6 +44,26 @@ struct llm_build_delta_net_base : public llm_graph_context { ggml_tensor * b, ggml_tensor * s, int il); + + // use the ggml_gated_delta_net fused operator + std::pair build_delta_net_fused( + ggml_tensor * q, + ggml_tensor * k, + ggml_tensor * v, + ggml_tensor * g, + ggml_tensor * b, + ggml_tensor * s, + int il); + + // choose one of two implementations above based on the number of tokens + std::pair build_delta_net( + ggml_tensor * q, + ggml_tensor * k, + ggml_tensor * v, + ggml_tensor * g, + ggml_tensor * b, + ggml_tensor * s, + int il); }; struct llm_build_rwkv6_base : public llm_graph_context { diff --git a/src/models/modern-bert.cpp b/src/models/modern-bert.cpp index 32066c712b..26020584c6 100644 --- a/src/models/modern-bert.cpp +++ b/src/models/modern-bert.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_modern_bert::llm_build_modern_bert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/mpt.cpp b/src/models/mpt.cpp index 2328e027a7..ce44a805f5 100644 --- a/src/models/mpt.cpp +++ b/src/models/mpt.cpp @@ -3,10 +3,10 @@ llm_build_mpt::llm_build_mpt(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * pos; diff --git a/src/models/nemotron-h.cpp b/src/models/nemotron-h.cpp index d61d62a8c9..d3fccfb70d 100644 --- a/src/models/nemotron-h.cpp +++ b/src/models/nemotron-h.cpp @@ -2,8 +2,8 @@ llm_build_nemotron_h::llm_build_nemotron_h(const llama_model & model, const llm_graph_params & params) : llm_build_mamba_base(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + const int64_t n_embd_head = hparams.n_embd_head_v(); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; @@ -107,16 +107,25 @@ ggml_tensor * llm_build_nemotron_h::build_attention_layer(ggml_tensor * ggml_tensor * llm_build_nemotron_h::build_ffn_layer(ggml_tensor * cur, const llama_model & model, int il) { if (model.layers[il].ffn_gate_inp == nullptr) { cur = build_ffn(cur, - model.layers[il].ffn_up, model.layers[il].ffn_up_b, NULL, + model.layers[il].ffn_up, model.layers[il].ffn_up_b, model.layers[il].ffn_up_s, NULL, NULL, NULL, - model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL, + model.layers[il].ffn_down, model.layers[il].ffn_down_b, model.layers[il].ffn_down_s, NULL, LLM_FFN_RELU_SQR, LLM_FFN_PAR, il); cb(cur, "ffn_out", il); } else { - ggml_tensor * ffn_inp = cur; + ggml_tensor * inp_emb = cur; + ggml_tensor * inp_latent = cur; + + if (model.layers[il].ffn_latent_down) { + inp_latent = ggml_mul_mat(ctx0, model.layers[il].ffn_latent_down, cur); + } + + ggml_tensor * router_logits = build_lora_mm(model.layers[il].ffn_gate_inp, cur); + cb(router_logits, "ffn_moe_logits", il); + ggml_tensor * moe_out = - build_moe_ffn(ffn_inp, + build_moe_ffn(inp_latent, model.layers[il].ffn_gate_inp, model.layers[il].ffn_up_exps, nullptr, // no gate @@ -124,15 +133,23 @@ ggml_tensor * llm_build_nemotron_h::build_ffn_layer(ggml_tensor * cur, const lla model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_RELU_SQR, hparams.expert_weights_norm, - true, hparams.expert_weights_scale, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID, - il); + il, + router_logits, nullptr, + model.layers[il].ffn_up_exps_s, + nullptr, // no gate + model.layers[il].ffn_down_exps_s); cb(moe_out, "ffn_moe_out", il); - ggml_tensor * ffn_shexp = build_ffn(ffn_inp, - model.layers[il].ffn_up_shexp, NULL, NULL, - NULL /* no gate */ , NULL, NULL, - model.layers[il].ffn_down_shexp, NULL, NULL, + if (model.layers[il].ffn_latent_up) { + moe_out = ggml_mul_mat(ctx0, model.layers[il].ffn_latent_up, moe_out); + } + + ggml_tensor * ffn_shexp = build_ffn(inp_emb, + model.layers[il].ffn_up_shexp, NULL, model.layers[il].ffn_up_shexp_s, + NULL /* no gate */ , NULL, NULL, + model.layers[il].ffn_down_shexp, NULL, model.layers[il].ffn_down_shexp_s, NULL, LLM_FFN_RELU_SQR, LLM_FFN_PAR, il); cb(ffn_shexp, "ffn_shexp", il); diff --git a/src/models/nemotron.cpp b/src/models/nemotron.cpp index fcead041f0..34aa6fa5ec 100644 --- a/src/models/nemotron.cpp +++ b/src/models/nemotron.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_nemotron::llm_build_nemotron(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - //GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + //GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/neo-bert.cpp b/src/models/neo-bert.cpp index 7c32bfca5f..2fdf4a3692 100644 --- a/src/models/neo-bert.cpp +++ b/src/models/neo-bert.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_neo_bert::llm_build_neo_bert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/olmo.cpp b/src/models/olmo.cpp index bbd623f111..26f4b6ee62 100644 --- a/src/models/olmo.cpp +++ b/src/models/olmo.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_olmo::llm_build_olmo(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/olmo2.cpp b/src/models/olmo2.cpp index 713552dab8..5076359e3f 100644 --- a/src/models/olmo2.cpp +++ b/src/models/olmo2.cpp @@ -2,10 +2,10 @@ template llm_build_olmo2::llm_build_olmo2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/olmoe.cpp b/src/models/olmoe.cpp index b8b6988f89..83a56a0b3b 100644 --- a/src/models/olmoe.cpp +++ b/src/models/olmoe.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_olmoe::llm_build_olmoe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -92,7 +92,7 @@ llm_build_olmoe::llm_build_olmoe(const llama_model & model, const llm_graph_para nullptr, n_expert, n_expert_used, LLM_FFN_SILU, false, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(cur, "ffn_moe_out", il); diff --git a/src/models/openai-moe-iswa.cpp b/src/models/openai-moe-iswa.cpp index dbe3ca1851..403f130bc4 100644 --- a/src/models/openai-moe-iswa.cpp +++ b/src/models/openai-moe-iswa.cpp @@ -95,7 +95,7 @@ llm_build_openai_moe_iswa::llm_build_openai_moe_iswa(const llama_model & model, nullptr, n_expert, n_expert_used, LLM_FFN_SWIGLU_OAI_MOE, false, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX_WEIGHT, il); cb(cur, "ffn_moe_out", il); diff --git a/src/models/openelm.cpp b/src/models/openelm.cpp index fbf682ec83..5df6fe3e3c 100644 --- a/src/models/openelm.cpp +++ b/src/models/openelm.cpp @@ -1,9 +1,9 @@ #include "models.h" llm_build_openelm::llm_build_openelm(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/orion.cpp b/src/models/orion.cpp index bb02273bfe..48c01efe36 100644 --- a/src/models/orion.cpp +++ b/src/models/orion.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_orion::llm_build_orion(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/paddleocr.cpp b/src/models/paddleocr.cpp index 39a368df53..340455c2d5 100644 --- a/src/models/paddleocr.cpp +++ b/src/models/paddleocr.cpp @@ -5,10 +5,10 @@ llm_build_paddleocr::llm_build_paddleocr(const llama_model & model, const llm_gr // NOTE: same with qwen2vl.cpp, but bias tensors are optional - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/pangu-embedded.cpp b/src/models/pangu-embedded.cpp index 664572a500..1cf0938e68 100644 --- a/src/models/pangu-embedded.cpp +++ b/src/models/pangu-embedded.cpp @@ -2,10 +2,10 @@ llm_build_pangu_embedded::llm_build_pangu_embedded(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/phi2.cpp b/src/models/phi2.cpp index 22dbf61076..32d40d71fb 100644 --- a/src/models/phi2.cpp +++ b/src/models/phi2.cpp @@ -2,10 +2,10 @@ llm_build_phi2::llm_build_phi2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * attn_norm_output; diff --git a/src/models/phi3.cpp b/src/models/phi3.cpp index c8e5da33db..3d11a9459c 100644 --- a/src/models/phi3.cpp +++ b/src/models/phi3.cpp @@ -2,10 +2,10 @@ template llm_build_phi3::llm_build_phi3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; @@ -114,7 +114,7 @@ llm_build_phi3::llm_build_phi3(const llama_model & model, const llm_graph_ nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(cur, "ffn_moe_out", il); diff --git a/src/models/plamo.cpp b/src/models/plamo.cpp index 04ff709f9c..b7a7121104 100644 --- a/src/models/plamo.cpp +++ b/src/models/plamo.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_plamo::llm_build_plamo(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/plamo2.cpp b/src/models/plamo2.cpp index 3af236843b..0bde0b3d8f 100644 --- a/src/models/plamo2.cpp +++ b/src/models/plamo2.cpp @@ -27,7 +27,7 @@ llm_build_plamo2::llm_build_plamo2(const llama_model & model, const llm_graph_pa cur = build_norm(inpL, model.layers[il].attn_norm, NULL, LLM_NORM_RMS, il); // check if this layer is Mamba or Attention - bool is_mamba_layer = hparams.is_recurrent(il); + const bool is_mamba_layer = hparams.is_recurrent(il); if (is_mamba_layer) { // PLaMo-2 Mamba layer @@ -71,6 +71,7 @@ llm_build_plamo2::llm_build_plamo2(const llama_model & model, const llm_graph_pa cur = ggml_add(ctx0, cur, residual); cb(cur, "ffn_residual", il); + // input for next layer inpL = cur; } @@ -106,9 +107,9 @@ ggml_tensor * llm_build_plamo2::build_plamo2_attn_layer(llm_graph_input_attn_kv cb(qkv, "wqkv", il); // split QKV tensor into Q, K, V - const int64_t n_embd_head_q = hparams.n_embd_head_k; - const int64_t n_embd_head_k = hparams.n_embd_head_k; - const int64_t n_embd_head_v = hparams.n_embd_head_v; + const int64_t n_embd_head_q = hparams.n_embd_head_k(); + const int64_t n_embd_head_k = hparams.n_embd_head_k(); + const int64_t n_embd_head_v = hparams.n_embd_head_v(); int32_t n_head = hparams.n_head(il); int32_t n_head_kv = hparams.n_head_kv(il); @@ -171,6 +172,8 @@ ggml_tensor * llm_build_plamo2::build_plamo2_mamba_layer(llm_graph_input_rs * in GGML_ASSERT(n_seqs != 0); GGML_ASSERT(ubatch.equal_seqs()); GGML_ASSERT(ubatch.n_tokens == n_seq_tokens * n_seqs); + GGML_ASSERT(d_inner % n_head == 0); + GGML_ASSERT(n_group == 0); ggml_tensor * conv_states_all = mctx_cur->get_r_l(il); ggml_tensor * ssm_states_all = mctx_cur->get_s_l(il); diff --git a/src/models/plamo3.cpp b/src/models/plamo3.cpp index 55c8064679..7cb9da6e7d 100644 --- a/src/models/plamo3.cpp +++ b/src/models/plamo3.cpp @@ -3,8 +3,8 @@ template llm_build_plamo3::llm_build_plamo3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t head_dim_q = hparams.n_embd_head_k; - const int64_t head_dim_v = hparams.n_embd_head_v; + const int64_t head_dim_q = hparams.n_embd_head_k(); + const int64_t head_dim_v = hparams.n_embd_head_v(); ggml_tensor * cur; ggml_tensor * inpL = build_inp_embd(model.tok_embd); @@ -109,6 +109,8 @@ llm_build_plamo3::llm_build_plamo3(const llama_model & model, const llm_gr cur = build_cvec(cur, il); cb(cur, "l_out", il); + + // input for next layer inpL = cur; } diff --git a/src/models/plm.cpp b/src/models/plm.cpp index 612a487c56..bcb651ce54 100644 --- a/src/models/plm.cpp +++ b/src/models/plm.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_plm::llm_build_plm(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const float kq_scale = 1.0f/sqrtf(float(hparams.n_embd_head_k)); + const float kq_scale = 1.0f/sqrtf(float(hparams.n_embd_head_k())); - const uint32_t n_embd_head_qk_rope = hparams.n_rot; - const uint32_t n_embd_head_qk_nope = hparams.n_embd_head_k - hparams.n_rot; + const uint32_t n_embd_head_qk_rope = hparams.n_rot(); + const uint32_t n_embd_head_qk_nope = hparams.n_embd_head_k() - hparams.n_rot(); const uint32_t kv_lora_rank = hparams.n_lora_kv; @@ -38,15 +38,15 @@ llm_build_plm::llm_build_plm(const llama_model & model, const llm_graph_params & // split into {n_head * n_embd_head_qk_nope, n_tokens} ggml_tensor * q_nope = ggml_view_3d(ctx0, q, n_embd_head_qk_nope, n_head, n_tokens, - ggml_row_size(q->type, hparams.n_embd_head_k), - ggml_row_size(q->type, hparams.n_embd_head_k * n_head), + ggml_row_size(q->type, hparams.n_embd_head_k()), + ggml_row_size(q->type, hparams.n_embd_head_k() * n_head), 0); cb(q_nope, "q_nope", il); // and {n_head * n_embd_head_qk_rope, n_tokens} ggml_tensor * q_pe = ggml_view_3d(ctx0, q, n_embd_head_qk_rope, n_head, n_tokens, - ggml_row_size(q->type, hparams.n_embd_head_k), - ggml_row_size(q->type, hparams.n_embd_head_k * n_head), + ggml_row_size(q->type, hparams.n_embd_head_k()), + ggml_row_size(q->type, hparams.n_embd_head_k() * n_head), ggml_row_size(q->type, n_embd_head_qk_nope)); cb(q_pe, "q_pe", il); @@ -78,23 +78,23 @@ llm_build_plm::llm_build_plm(const llama_model & model, const llm_graph_params & // split into {n_head * n_embd_head_qk_nope, n_tokens} ggml_tensor * k_nope = ggml_view_3d(ctx0, kv, n_embd_head_qk_nope, n_head, n_tokens, - ggml_row_size(kv->type, n_embd_head_qk_nope + hparams.n_embd_head_v), - ggml_row_size(kv->type, n_head * (n_embd_head_qk_nope + hparams.n_embd_head_v)), + ggml_row_size(kv->type, n_embd_head_qk_nope + hparams.n_embd_head_v()), + ggml_row_size(kv->type, n_head * (n_embd_head_qk_nope + hparams.n_embd_head_v())), 0); cb(k_nope, "k_nope", il); // and {n_head * n_embd_head_v, n_tokens} - ggml_tensor * v_states = ggml_view_3d(ctx0, kv, hparams.n_embd_head_v, n_head, n_tokens, - ggml_row_size(kv->type, (n_embd_head_qk_nope + hparams.n_embd_head_v)), - ggml_row_size(kv->type, (n_embd_head_qk_nope + hparams.n_embd_head_v)*n_head), + ggml_tensor * v_states = ggml_view_3d(ctx0, kv, hparams.n_embd_head_v(), n_head, n_tokens, + ggml_row_size(kv->type, (n_embd_head_qk_nope + hparams.n_embd_head_v())), + ggml_row_size(kv->type, (n_embd_head_qk_nope + hparams.n_embd_head_v())*n_head), ggml_row_size(kv->type, (n_embd_head_qk_nope))); cb(v_states, "v_states", il); v_states = ggml_cont(ctx0, v_states); cb(v_states, "v_states", il); - v_states = ggml_view_2d(ctx0, v_states, hparams.n_embd_head_v * n_head, n_tokens, - ggml_row_size(kv->type, hparams.n_embd_head_v * n_head), + v_states = ggml_view_2d(ctx0, v_states, hparams.n_embd_head_v() * n_head, n_tokens, + ggml_row_size(kv->type, hparams.n_embd_head_v() * n_head), 0); cb(v_states, "v_states", il); diff --git a/src/models/qwen.cpp b/src/models/qwen.cpp index 31fd9b7376..7390f1320b 100644 --- a/src/models/qwen.cpp +++ b/src/models/qwen.cpp @@ -2,9 +2,9 @@ llm_build_qwen::llm_build_qwen(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/qwen2.cpp b/src/models/qwen2.cpp index 3da4dea3c1..58c1062250 100644 --- a/src/models/qwen2.cpp +++ b/src/models/qwen2.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_qwen2::llm_build_qwen2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/qwen2moe.cpp b/src/models/qwen2moe.cpp index 49142b7123..60761789dc 100644 --- a/src/models/qwen2moe.cpp +++ b/src/models/qwen2moe.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_qwen2moe::llm_build_qwen2moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -94,7 +94,7 @@ llm_build_qwen2moe::llm_build_qwen2moe(const llama_model & model, const llm_grap nullptr, n_expert, n_expert_used, LLM_FFN_SILU, false, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/qwen2vl.cpp b/src/models/qwen2vl.cpp index 9be38675cf..9004bab9db 100644 --- a/src/models/qwen2vl.cpp +++ b/src/models/qwen2vl.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_qwen2vl::llm_build_qwen2vl(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/qwen3.cpp b/src/models/qwen3.cpp index a5cfffa531..5208166847 100644 --- a/src/models/qwen3.cpp +++ b/src/models/qwen3.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_qwen3::llm_build_qwen3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -30,13 +30,13 @@ llm_build_qwen3::llm_build_qwen3(const llama_model & model, const llm_graph_para // self-attention { // compute Q and K and RoPE them - ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur); + ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur, model.layers[il].wq_s); cb(Qcur, "Qcur", il); - ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur); + ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur, model.layers[il].wk_s); cb(Kcur, "Kcur", il); - ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur); + ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur, model.layers[il].wv_s); cb(Vcur, "Vcur", il); Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens); @@ -68,6 +68,9 @@ llm_build_qwen3::llm_build_qwen3(const llama_model & model, const llm_graph_para cur = build_attn(inp_attn, model.layers[il].wo, model.layers[il].bo, Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il); + if (model.layers[il].wo_s) { + cur = ggml_mul(ctx0, cur, model.layers[il].wo_s); + } } if (il == n_layer - 1 && inp_out_ids) { cur = ggml_get_rows(ctx0, cur, inp_out_ids); @@ -83,9 +86,9 @@ llm_build_qwen3::llm_build_qwen3(const llama_model & model, const llm_graph_para cb(cur, "ffn_norm", il); cur = build_ffn(cur, - model.layers[il].ffn_up, NULL, NULL, - model.layers[il].ffn_gate, NULL, NULL, - model.layers[il].ffn_down, NULL, NULL, + model.layers[il].ffn_up, NULL, model.layers[il].ffn_up_s, + model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate_s, + model.layers[il].ffn_down, NULL, model.layers[il].ffn_down_s, NULL, LLM_FFN_SILU, LLM_FFN_PAR, il); cb(cur, "ffn_out", il); diff --git a/src/models/qwen35.cpp b/src/models/qwen35.cpp index bacf7a4c2e..e0e48d2a4f 100644 --- a/src/models/qwen35.cpp +++ b/src/models/qwen35.cpp @@ -4,9 +4,9 @@ llm_build_qwen35::llm_build_qwen35(const llama_model & model, const llm_graph_params & params) : llm_build_delta_net_base(params), model(model) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); int sections[4]; std::copy(std::begin(hparams.rope_sections), std::begin(hparams.rope_sections) + 4, sections); @@ -64,6 +64,9 @@ llm_build_qwen35::llm_build_qwen35(const llama_model & model, const llm_graph_pa cur = ggml_add(ctx0, cur, ffn_residual); cb(cur, "post_ffn", il); + cur = build_cvec(cur, il); + cb(cur, "l_out", il); + // Input for next layer inpL = cur; } @@ -90,11 +93,11 @@ std::pair llm_build_qwen35::build_qkvz( const int64_t n_seqs = ubatch.n_seqs; const int64_t n_seq_tokens = ubatch.n_seq_tokens; - ggml_tensor * qkv_mixed = build_lora_mm(model.layers[il].wqkv, input); + ggml_tensor * qkv_mixed = build_lora_mm(model.layers[il].wqkv, input, model.layers[il].wqkv_s); qkv_mixed = ggml_reshape_3d(ctx0, qkv_mixed, qkv_mixed->ne[0], n_seq_tokens, n_seqs); cb(qkv_mixed, "linear_attn_qkv_mixed", il); - ggml_tensor * z = build_lora_mm(model.layers[il].wqkv_gate, input); + ggml_tensor * z = build_lora_mm(model.layers[il].wqkv_gate, input, model.layers[il].wqkv_gate_s); cb(z, "z", il); return { qkv_mixed, z }; @@ -117,13 +120,13 @@ ggml_tensor * llm_build_qwen35::build_layer_attn( ggml_tensor * inp_pos, int * sections, int il) { - const int64_t n_embd_head = hparams.n_embd_head_v; - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + const int64_t n_embd_head = hparams.n_embd_head_v(); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); // Order: joint QG projection, QG split, Q norm, KV projection, K norm, RoPE, attention // Qwen3Next uses a single Q projection that outputs query + gate - ggml_tensor * Qcur_full = build_lora_mm(model.layers[il].wq, cur); // [ (n_embd_head * 2) * n_head, n_tokens ] + ggml_tensor * Qcur_full = build_lora_mm(model.layers[il].wq, cur, model.layers[il].wq_s); // [ (n_embd_head * 2) * n_head, n_tokens ] cb(Qcur_full, "Qcur_full", il); ggml_tensor * Qcur = ggml_view_3d(ctx0, Qcur_full, n_embd_head, n_head, n_tokens, @@ -135,10 +138,10 @@ ggml_tensor * llm_build_qwen35::build_layer_attn( Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, nullptr, LLM_NORM_RMS, il); cb(Qcur, "Qcur_normed", il); - ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur); + ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur, model.layers[il].wk_s); cb(Kcur, "Kcur", il); - ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur); + ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur, model.layers[il].wv_s); cb(Vcur, "Vcur", il); // Apply K normalization @@ -186,7 +189,7 @@ ggml_tensor * llm_build_qwen35::build_layer_attn( cur = ggml_mul(ctx0, cur, gate_sigmoid); cb(cur, "attn_gated", il); - cur = build_lora_mm(model.layers[il].wo, cur); + cur = build_lora_mm(model.layers[il].wo, cur, model.layers[il].wo_s); cb(cur, "attn_output", il); return cur; @@ -217,14 +220,14 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear( ggml_tensor * qkv_mixed = qkvz.first; ggml_tensor * z = qkvz.second; - ggml_tensor * beta = build_lora_mm(model.layers[il].ssm_beta, cur); + ggml_tensor * beta = build_lora_mm(model.layers[il].ssm_beta, cur, model.layers[il].ssm_beta_s); beta = ggml_reshape_4d(ctx0, beta, 1, num_v_heads, n_seq_tokens, n_seqs); cb(beta, "beta", il); beta = ggml_sigmoid(ctx0, beta); - ggml_tensor * alpha = build_lora_mm(model.layers[il].ssm_alpha, cur); - alpha = ggml_cont_3d(ctx0, alpha, num_v_heads, n_seq_tokens, n_seqs); + ggml_tensor * alpha = build_lora_mm(model.layers[il].ssm_alpha, cur, model.layers[il].ssm_alpha_s); + alpha = ggml_reshape_3d(ctx0, alpha, num_v_heads, n_seq_tokens, n_seqs); cb(alpha, "alpha", il); ggml_tensor * alpha_biased = ggml_add(ctx0, alpha, model.layers[il].ssm_dt); @@ -321,9 +324,9 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear( //v_conv = ggml_cont_4d(ctx0, v_conv, head_v_dim, num_v_heads, n_seq_tokens, n_seqs); // if head keys and value keys are different, repeat to force tensors into matching shapes - if (num_k_heads != num_v_heads) { + // note: need explicit repeat only if we are not using the fused GDN + if (num_k_heads != num_v_heads && (!cparams.fused_gdn_ar || !cparams.fused_gdn_ch)) { GGML_ASSERT(num_v_heads % num_k_heads == 0); - // TODO: try to avoid these explicit repeats by utilizing op broadcast q_conv = ggml_repeat_4d(ctx0, q_conv, head_k_dim, num_v_heads, n_seq_tokens, n_seqs); k_conv = ggml_repeat_4d(ctx0, k_conv, head_k_dim, num_v_heads, n_seq_tokens, n_seqs); } @@ -332,13 +335,8 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear( cb(k_conv, "k_conv_predelta", il); cb(v_conv, "v_conv_predelta", il); - // Choose between build_delta_net_chunking, build_delta_net_recurrent, and build_delta_net_autoregressive based on n_tokens - std::pair attn_out; // pair of (output, new_state) - if (n_seq_tokens == 1) { - attn_out = build_delta_net_autoregressive(q_conv, k_conv, v_conv, gate, beta, state, il); - } else { - attn_out = build_delta_net_chunking(q_conv, k_conv, v_conv, gate, beta, state, il); - } + auto attn_out = build_delta_net(q_conv, k_conv, v_conv, gate, beta, state, il); + ggml_tensor * output = attn_out.first; ggml_tensor * new_state = attn_out.second; cb(output, "attn_output", il); @@ -361,7 +359,7 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear( cb(final_output, "final_output", il); // Output projection - cur = build_lora_mm(model.layers[il].ssm_out, final_output); + cur = build_lora_mm(model.layers[il].ssm_out, final_output, model.layers[il].ssm_out_s); cb(cur, "linear_attn_out", il); // Reshape back to original dimensions @@ -375,9 +373,9 @@ ggml_tensor * llm_build_qwen35::build_layer_ffn(ggml_tensor * cur, const int il) GGML_ASSERT(model.layers[il].ffn_gate_inp == nullptr); cur = build_ffn(cur, - model.layers[il].ffn_up, NULL, NULL, - model.layers[il].ffn_gate, NULL, NULL, - model.layers[il].ffn_down, NULL, NULL, + model.layers[il].ffn_up, NULL, model.layers[il].ffn_up_s, + model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate_s, + model.layers[il].ffn_down, NULL, model.layers[il].ffn_down_s, NULL, LLM_FFN_SILU, LLM_FFN_PAR, il); cb(cur, "ffn_out", il); diff --git a/src/models/qwen35moe.cpp b/src/models/qwen35moe.cpp index 22d708f206..15baea80b6 100644 --- a/src/models/qwen35moe.cpp +++ b/src/models/qwen35moe.cpp @@ -4,9 +4,9 @@ llm_build_qwen35moe::llm_build_qwen35moe(const llama_model & model, const llm_graph_params & params) : llm_build_delta_net_base(params), model(model) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); int sections[4]; std::copy(std::begin(hparams.rope_sections), std::begin(hparams.rope_sections) + 4, sections); @@ -64,6 +64,9 @@ llm_build_qwen35moe::llm_build_qwen35moe(const llama_model & model, const llm_gr cur = ggml_add(ctx0, cur, ffn_residual); cb(cur, "post_moe", il); + cur = build_cvec(cur, il); + cb(cur, "l_out", il); + // Input for next layer inpL = cur; } @@ -90,11 +93,11 @@ std::pair llm_build_qwen35moe::build_qkvz( const int64_t n_seqs = ubatch.n_seqs; const int64_t n_seq_tokens = ubatch.n_seq_tokens; - ggml_tensor * qkv_mixed = build_lora_mm(model.layers[il].wqkv, input); + ggml_tensor * qkv_mixed = build_lora_mm(model.layers[il].wqkv, input, model.layers[il].wqkv_s); qkv_mixed = ggml_reshape_3d(ctx0, qkv_mixed, qkv_mixed->ne[0], n_seq_tokens, n_seqs); cb(qkv_mixed, "linear_attn_qkv_mixed", il); - ggml_tensor * z = build_lora_mm(model.layers[il].wqkv_gate, input); + ggml_tensor * z = build_lora_mm(model.layers[il].wqkv_gate, input, model.layers[il].wqkv_gate_s); cb(z, "z", il); return { qkv_mixed, z }; @@ -117,13 +120,13 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn( ggml_tensor * inp_pos, int * sections, int il) { - const int64_t n_embd_head = hparams.n_embd_head_v; - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + const int64_t n_embd_head = hparams.n_embd_head_v(); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); // Order: joint QG projection, QG split, Q norm, KV projection, K norm, RoPE, attention // Qwen3Next uses a single Q projection that outputs query + gate - ggml_tensor * Qcur_full = build_lora_mm(model.layers[il].wq, cur); // [ (n_embd_head * 2) * n_head, n_tokens ] + ggml_tensor * Qcur_full = build_lora_mm(model.layers[il].wq, cur, model.layers[il].wq_s); // [ (n_embd_head * 2) * n_head, n_tokens ] cb(Qcur_full, "Qcur_full", il); ggml_tensor * Qcur = ggml_view_3d(ctx0, Qcur_full, n_embd_head, n_head, n_tokens, @@ -135,10 +138,10 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn( Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, nullptr, LLM_NORM_RMS, il); cb(Qcur, "Qcur_normed", il); - ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur); + ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur, model.layers[il].wk_s); cb(Kcur, "Kcur", il); - ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur); + ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur, model.layers[il].wv_s); cb(Vcur, "Vcur", il); // Apply K normalization @@ -186,7 +189,7 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn( cur = ggml_mul(ctx0, cur, gate_sigmoid); cb(cur, "attn_gated", il); - cur = build_lora_mm(model.layers[il].wo, cur); + cur = build_lora_mm(model.layers[il].wo, cur, model.layers[il].wo_s); cb(cur, "attn_output", il); return cur; @@ -217,14 +220,14 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear( ggml_tensor * qkv_mixed = qkvz.first; ggml_tensor * z = qkvz.second; - ggml_tensor * beta = build_lora_mm(model.layers[il].ssm_beta, cur); + ggml_tensor * beta = build_lora_mm(model.layers[il].ssm_beta, cur, model.layers[il].ssm_beta_s); beta = ggml_reshape_4d(ctx0, beta, 1, num_v_heads, n_seq_tokens, n_seqs); cb(beta, "beta", il); beta = ggml_sigmoid(ctx0, beta); - ggml_tensor * alpha = build_lora_mm(model.layers[il].ssm_alpha, cur); - alpha = ggml_cont_3d(ctx0, alpha, num_v_heads, n_seq_tokens, n_seqs); + ggml_tensor * alpha = build_lora_mm(model.layers[il].ssm_alpha, cur, model.layers[il].ssm_alpha_s); + alpha = ggml_reshape_3d(ctx0, alpha, num_v_heads, n_seq_tokens, n_seqs); cb(alpha, "alpha", il); ggml_tensor * alpha_biased = ggml_add(ctx0, alpha, model.layers[il].ssm_dt); @@ -321,9 +324,9 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear( //v_conv = ggml_cont_4d(ctx0, v_conv, head_v_dim, num_v_heads, n_seq_tokens, n_seqs); // if head keys and value keys are different, repeat to force tensors into matching shapes - if (num_k_heads != num_v_heads) { + // note: need explicit repeat only if we are not using the fused GDN + if (num_k_heads != num_v_heads && (!cparams.fused_gdn_ar || !cparams.fused_gdn_ch)) { GGML_ASSERT(num_v_heads % num_k_heads == 0); - // TODO: try to avoid these explicit repeats by utilizing op broadcast q_conv = ggml_repeat_4d(ctx0, q_conv, head_k_dim, num_v_heads, n_seq_tokens, n_seqs); k_conv = ggml_repeat_4d(ctx0, k_conv, head_k_dim, num_v_heads, n_seq_tokens, n_seqs); } @@ -332,13 +335,8 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear( cb(k_conv, "k_conv_predelta", il); cb(v_conv, "v_conv_predelta", il); - // Choose between build_delta_net_chunking, build_delta_net_recurrent, and build_delta_net_autoregressive based on n_tokens - std::pair attn_out; // pair of (output, new_state) - if (n_seq_tokens == 1) { - attn_out = build_delta_net_autoregressive(q_conv, k_conv, v_conv, gate, beta, state, il); - } else { - attn_out = build_delta_net_chunking(q_conv, k_conv, v_conv, gate, beta, state, il); - } + auto attn_out = build_delta_net(q_conv, k_conv, v_conv, gate, beta, state, il); + ggml_tensor * output = attn_out.first; ggml_tensor * new_state = attn_out.second; cb(output, "attn_output", il); @@ -361,7 +359,7 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear( cb(final_output, "final_output", il); // Output projection - cur = build_lora_mm(model.layers[il].ssm_out, final_output); + cur = build_lora_mm(model.layers[il].ssm_out, final_output, model.layers[il].ssm_out_s); cb(cur, "linear_attn_out", il); // Reshape back to original dimensions @@ -376,21 +374,28 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_ffn(ggml_tensor * cur, const int ggml_tensor * moe_out = build_moe_ffn(cur, - model.layers[il].ffn_gate_inp, model.layers[il].ffn_up_exps, - model.layers[il].ffn_gate_exps, model.layers[il].ffn_down_exps, + model.layers[il].ffn_gate_inp, + model.layers[il].ffn_up_exps, + model.layers[il].ffn_gate_exps, + model.layers[il].ffn_down_exps, nullptr, - n_expert, n_expert_used, LLM_FFN_SILU, - true, false, 0.0, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il, - nullptr, model.layers[il].ffn_gate_up_exps); + n_expert, n_expert_used, + LLM_FFN_SILU, true, + hparams.expert_weights_scale, + LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il, + nullptr, model.layers[il].ffn_gate_up_exps, + model.layers[il].ffn_up_exps_s, + model.layers[il].ffn_gate_exps_s, + model.layers[il].ffn_down_exps_s); cb(moe_out, "ffn_moe_out", il); // Add shared experts if present - following Qwen3Next reference implementation if (model.layers[il].ffn_up_shexp != nullptr) { ggml_tensor * ffn_shexp = build_ffn(cur, - model.layers[il].ffn_up_shexp, NULL, NULL, - model.layers[il].ffn_gate_shexp, NULL, NULL, - model.layers[il].ffn_down_shexp, NULL, NULL, + model.layers[il].ffn_up_shexp, NULL, model.layers[il].ffn_up_shexp_s, + model.layers[il].ffn_gate_shexp, NULL, model.layers[il].ffn_gate_shexp_s, + model.layers[il].ffn_down_shexp, NULL, model.layers[il].ffn_down_shexp_s, NULL, LLM_FFN_SILU, LLM_FFN_PAR, il); cb(ffn_shexp, "ffn_shexp", il); diff --git a/src/models/qwen3moe.cpp b/src/models/qwen3moe.cpp index 888534fb34..dba46618ff 100644 --- a/src/models/qwen3moe.cpp +++ b/src/models/qwen3moe.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_qwen3moe::llm_build_qwen3moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -30,13 +30,13 @@ llm_build_qwen3moe::llm_build_qwen3moe(const llama_model & model, const llm_grap // self_attention { // compute Q and K and RoPE them - ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur); + ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur, model.layers[il].wq_s); cb(Qcur, "Qcur", il); - ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur); + ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur, model.layers[il].wk_s); cb(Kcur, "Kcur", il); - ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur); + ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur, model.layers[il].wv_s); cb(Vcur, "Vcur", il); Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens); @@ -68,6 +68,9 @@ llm_build_qwen3moe::llm_build_qwen3moe(const llama_model & model, const llm_grap cur = build_attn(inp_attn, model.layers[il].wo, model.layers[il].bo, Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il); + if (model.layers[il].wo_s) { + cur = ggml_mul(ctx0, cur, model.layers[il].wo_s); + } } if (il == n_layer - 1 && inp_out_ids) { cur = ggml_get_rows(ctx0, cur, inp_out_ids); @@ -91,9 +94,13 @@ llm_build_qwen3moe::llm_build_qwen3moe(const llama_model & model, const llm_grap nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, - il); + il, + nullptr, nullptr, + model.layers[il].ffn_up_exps_s, + model.layers[il].ffn_gate_exps_s, + model.layers[il].ffn_down_exps_s); cb(moe_out, "ffn_moe_out", il); cur = moe_out; diff --git a/src/models/qwen3next.cpp b/src/models/qwen3next.cpp index f2621200f2..dbfc0874db 100644 --- a/src/models/qwen3next.cpp +++ b/src/models/qwen3next.cpp @@ -56,6 +56,9 @@ llm_build_qwen3next::llm_build_qwen3next(const llama_model & model, const llm_gr cur = ggml_add(ctx0, cur, ffn_residual); cb(cur, "post_moe", il); + cur = build_cvec(cur, il); + cb(cur, "l_out", il); + // Input for next layer inpL = cur; } @@ -100,8 +103,8 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn( ggml_tensor * cur, ggml_tensor * inp_pos, int il) { - const int64_t n_embd_head = hparams.n_embd_head_v; - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + const int64_t n_embd_head = hparams.n_embd_head_v(); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); // Order: joint QG projection, QG split, Q norm, KV projection, K norm, RoPE, attention @@ -406,6 +409,7 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn_linear( //v_conv = ggml_cont_4d(ctx0, v_conv, head_v_dim, num_v_heads, n_seq_tokens, n_seqs); // if head keys and value keys are different, repeat to force tensors into matching shapes + // TODO: avoid repeats for fused GDN, needs broadcast configuration for GDN op [TAG_GGML_GDN_BCAST] if (num_k_heads != num_v_heads) { GGML_ASSERT(num_v_heads % num_k_heads == 0); int64_t repeat_factor = num_v_heads / num_k_heads; @@ -431,13 +435,8 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn_linear( cb(k_conv, "k_conv_predelta", il); cb(v_conv, "v_conv_predelta", il); - // Choose between build_delta_net_chunking, build_delta_net_recurrent, and build_delta_net_autoregressive based on n_tokens - std::pair attn_out; // pair of (output, new_state) - if (n_seq_tokens == 1) { - attn_out = build_delta_net_autoregressive(q_conv, k_conv, v_conv, gate, beta, state, il); - } else { - attn_out = build_delta_net_chunking(q_conv, k_conv, v_conv, gate, beta, state, il); - } + auto attn_out = build_delta_net(q_conv, k_conv, v_conv, gate, beta, state, il); + ggml_tensor * output = attn_out.first; ggml_tensor * new_state = attn_out.second; cb(output, "attn_output", il); @@ -475,11 +474,15 @@ ggml_tensor * llm_build_qwen3next::build_layer_ffn(ggml_tensor * cur, const int // MoE branch ggml_tensor * moe_out = build_moe_ffn(cur, - model.layers[il].ffn_gate_inp, model.layers[il].ffn_up_exps, - model.layers[il].ffn_gate_exps, model.layers[il].ffn_down_exps, + model.layers[il].ffn_gate_inp, + model.layers[il].ffn_up_exps, + model.layers[il].ffn_gate_exps, + model.layers[il].ffn_down_exps, nullptr, - n_expert, n_expert_used, LLM_FFN_SILU, - true, false, 0.0, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il, + n_expert, n_expert_used, + LLM_FFN_SILU, true, + hparams.expert_weights_scale, + LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il, nullptr, model.layers[il].ffn_gate_up_exps); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/qwen3vl-moe.cpp b/src/models/qwen3vl-moe.cpp index e5e1a2150c..195daea66c 100644 --- a/src/models/qwen3vl-moe.cpp +++ b/src/models/qwen3vl-moe.cpp @@ -4,10 +4,10 @@ llm_build_qwen3vlmoe::llm_build_qwen3vlmoe(const llama_model & model, const llm_ const size_t n_deepstack_layers = hparams.n_deepstack_layers; const int64_t n_embd = hparams.n_embd; - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -99,7 +99,7 @@ llm_build_qwen3vlmoe::llm_build_qwen3vlmoe(const llama_model & model, const llm_ nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/qwen3vl.cpp b/src/models/qwen3vl.cpp index 0f8315b324..bbd5f42ba5 100644 --- a/src/models/qwen3vl.cpp +++ b/src/models/qwen3vl.cpp @@ -4,10 +4,10 @@ llm_build_qwen3vl::llm_build_qwen3vl(const llama_model & model, const llm_graph_ const size_t n_deepstack_layers = hparams.n_deepstack_layers; const int64_t n_embd = hparams.n_embd; - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/refact.cpp b/src/models/refact.cpp index ff5eb2841d..140700d9e2 100644 --- a/src/models/refact.cpp +++ b/src/models/refact.cpp @@ -1,9 +1,9 @@ #include "models.h" llm_build_refact::llm_build_refact(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/rnd1.cpp b/src/models/rnd1.cpp index 46b3dc3efc..c8e1f43400 100644 --- a/src/models/rnd1.cpp +++ b/src/models/rnd1.cpp @@ -2,10 +2,10 @@ // RND1 is a Qwen3Moe AR model converted to diffusion model. llm_build_rnd1::llm_build_rnd1(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -93,7 +93,7 @@ llm_build_rnd1::llm_build_rnd1(const llama_model & model, const llm_graph_params nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/seed-oss.cpp b/src/models/seed-oss.cpp index 0dc33c50ba..a4d0b75d84 100644 --- a/src/models/seed-oss.cpp +++ b/src/models/seed-oss.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_seed_oss::llm_build_seed_oss(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/smallthinker.cpp b/src/models/smallthinker.cpp index 4c497ca76f..0f7ef462b0 100644 --- a/src/models/smallthinker.cpp +++ b/src/models/smallthinker.cpp @@ -2,10 +2,10 @@ template llm_build_smallthinker::llm_build_smallthinker(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params){ - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; @@ -93,7 +93,7 @@ llm_build_smallthinker::llm_build_smallthinker(const llama_model & model, nullptr, n_expert, n_expert_used, LLM_FFN_RELU, true, - false, 0.0, + hparams.expert_weights_scale, static_cast(hparams.expert_gating_func), il, probs); @@ -101,6 +101,7 @@ llm_build_smallthinker::llm_build_smallthinker(const llama_model & model, cur = ffn_out; cur = ggml_add(ctx0, cur, ffn_inp); + cur = build_cvec(cur, il); cb(cur, "l_out", il); diff --git a/src/models/smollm3.cpp b/src/models/smollm3.cpp index 97c30deed5..e267fd8f32 100644 --- a/src/models/smollm3.cpp +++ b/src/models/smollm3.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_smollm3::llm_build_smollm3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/stablelm.cpp b/src/models/stablelm.cpp index bed1915c00..ff5aced93b 100644 --- a/src/models/stablelm.cpp +++ b/src/models/stablelm.cpp @@ -1,9 +1,9 @@ #include "models.h" llm_build_stablelm::llm_build_stablelm(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/starcoder.cpp b/src/models/starcoder.cpp index e197af4a8c..941cee9821 100644 --- a/src/models/starcoder.cpp +++ b/src/models/starcoder.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_starcoder::llm_build_starcoder(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/starcoder2.cpp b/src/models/starcoder2.cpp index e40ef2cb74..a5965aceb3 100644 --- a/src/models/starcoder2.cpp +++ b/src/models/starcoder2.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_starcoder2::llm_build_starcoder2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/step35-iswa.cpp b/src/models/step35-iswa.cpp index f8737815a6..c80cb26c5a 100644 --- a/src/models/step35-iswa.cpp +++ b/src/models/step35-iswa.cpp @@ -52,7 +52,7 @@ llm_build_step35_iswa::llm_build_step35_iswa(const llama_model & model, const ll // RoPE (partial rotary factors per layer) const bool is_swa = hparams.is_swa(il); ggml_tensor * rope_factors = is_swa ? nullptr : model.get_rope_factors(cparams, il); - const int64_t n_rot_l = is_swa ? hparams.n_rot : (hparams.n_rot / 2); + const int64_t n_rot_l = hparams.n_rot(il); Qcur = ggml_rope_ext( ctx0, Qcur, inp_pos, rope_factors, n_rot_l, rope_type, n_ctx_orig, freq_base_l, freq_scale_l, @@ -119,9 +119,6 @@ llm_build_step35_iswa::llm_build_step35_iswa(const llama_model & model, const ll cb(cur, "ffn_out", il); } else { // MoE routed experts - const bool norm_w = hparams.expert_weights_norm; - const float w_scale = hparams.expert_weights_scale; - const bool scale_w = w_scale != 0.0f; ggml_tensor * moe_out = build_moe_ffn(cur, model.layers[il].ffn_gate_inp, model.layers[il].ffn_up_exps, @@ -129,8 +126,8 @@ llm_build_step35_iswa::llm_build_step35_iswa(const llama_model & model, const ll model.layers[il].ffn_down_exps, model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, - LLM_FFN_SILU, - norm_w, scale_w, w_scale, + LLM_FFN_SILU, hparams.expert_weights_norm, + hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il); cb(moe_out, "ffn_moe_out", il); @@ -148,9 +145,11 @@ llm_build_step35_iswa::llm_build_step35_iswa(const llama_model & model, const ll cb(cur, "ffn_out", il); } cur = ggml_add(ctx0, cur, ffn_inp); + cur = build_cvec(cur, il); cb(cur, "l_out", il); + // input for next layer inpL = cur; } diff --git a/src/models/t5-dec.cpp b/src/models/t5-dec.cpp index 297e450de7..8ca8372bd4 100644 --- a/src/models/t5-dec.cpp +++ b/src/models/t5-dec.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_t5_dec::llm_build_t5_dec(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); //const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/t5-enc.cpp b/src/models/t5-enc.cpp index 70e1d80dcd..395dfb5104 100644 --- a/src/models/t5-enc.cpp +++ b/src/models/t5-enc.cpp @@ -1,9 +1,9 @@ #include "models.h" llm_build_t5_enc::llm_build_t5_enc(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/src/models/xverse.cpp b/src/models/xverse.cpp index 364797dd31..3a8dfafcce 100644 --- a/src/models/xverse.cpp +++ b/src/models/xverse.cpp @@ -1,10 +1,10 @@ #include "models.h" llm_build_xverse::llm_build_xverse(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { - const int64_t n_embd_head = hparams.n_embd_head_v; + const int64_t n_embd_head = hparams.n_embd_head_v(); - GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); - GGML_ASSERT(n_embd_head == hparams.n_rot); + GGML_ASSERT(n_embd_head == hparams.n_embd_head_k()); + GGML_ASSERT(n_embd_head == n_rot); ggml_tensor * cur; ggml_tensor * inpL; diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt index 46ab7a0cef..9582164b58 100644 --- a/tests/CMakeLists.txt +++ b/tests/CMakeLists.txt @@ -149,6 +149,7 @@ endif () if (NOT WIN32 OR NOT BUILD_SHARED_LIBS) # these tests are disabled on Windows because they use internal functions not exported with LLAMA_API (when building with shared libraries) llama_build_and_test(test-sampling.cpp) + llama_build_and_test(test-reasoning-budget.cpp) llama_build_and_test(test-grammar-parser.cpp) llama_build_and_test(test-grammar-integration.cpp) llama_build_and_test(test-llama-grammar.cpp) @@ -185,6 +186,8 @@ if (NOT WIN32 OR NOT BUILD_SHARED_LIBS) #llama_test(test-tokenizer-1-spm NAME test-tokenizer-1-baichuan ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-baichuan.gguf) # llama_build_and_test(test-double-float.cpp) # SLOW + + llama_build_and_test(test-llama-archs.cpp) endif() llama_build_and_test(test-chat-peg-parser.cpp peg-parser/simple-tokenize.cpp) @@ -257,6 +260,7 @@ endif() set(LLAMA_TEST_NAME test-mtmd-c-api) llama_build_and_test(test-mtmd-c-api.c) target_link_libraries(${LLAMA_TEST_NAME} PRIVATE mtmd) +unset(LLAMA_TEST_NAME) # GGUF model data fetcher library for tests that need real model metadata # Only compile when cpp-httplib has SSL support (CPPHTTPLIB_OPENSSL_SUPPORT) @@ -281,4 +285,5 @@ target_link_libraries(${TEST_TARGET} PRIVATE llama) llama_build_and_test(test-alloc.cpp) target_include_directories(test-alloc PRIVATE ${PROJECT_SOURCE_DIR}/ggml/src) - +llama_build(export-graph-ops.cpp) +target_include_directories(export-graph-ops PRIVATE ${PROJECT_SOURCE_DIR}/ggml/src) diff --git a/tests/export-graph-ops.cpp b/tests/export-graph-ops.cpp new file mode 100644 index 0000000000..754089d068 --- /dev/null +++ b/tests/export-graph-ops.cpp @@ -0,0 +1,169 @@ +#include "arg.h" +#include "common.h" +#include "log.h" +#include "llama.h" +#include "../src/llama-ext.h" +#include "ggml.h" + +#include +#include +#include +#include +#include + +struct input_tensor { + ggml_type type; + std::array ne; + std::array nb; + + input_tensor(ggml_type type, int64_t * ne, size_t * nb): type(type) { + memcpy(this->ne.data(), ne, 4 * sizeof(int64_t)); + memcpy(this->nb.data(), nb, 4 * sizeof(size_t)); + } + + bool operator<(const input_tensor &b) const { + return std::tie(type, ne, nb) < + std::tie(b.type, b.ne, b.nb); + } + + void serialize(std::ostream& out) const { + out << type << ' '; + for (size_t i = 0; i < 4; i++) { + out << ne[i] << ' '; + } + for (size_t i = 0; i < 4; i++) { + out << nb[i] << ' '; + } + } +}; + +struct test_object { + ggml_op op; + ggml_type type; + std::array ne; + std::vector op_params; + std::vector sources; + std::string name; + + void serialize(std::ostream& out) const { + out << op << ' ' << type << ' '; + for (size_t i = 0; i < 4; i++) { + out << ne[i] << ' '; + } + + out << op_params.size() << ' '; + for (size_t i = 0; i < op_params.size(); i++) { + out << op_params[i] << ' '; + } + + out << sources.size() << ' '; + for (size_t s = 0; s < sources.size(); s++) { + sources[s].serialize(out); + } + + if (!name.empty()) { + out << name; + } else { + out << '-'; + } + + out << '\n'; + } + + bool operator<(const test_object &b) const { + return std::tie(op, type, ne, op_params, sources) < + std::tie(b.op, b.type, b.ne, b.op_params, b.sources); + } +}; + +static void extract_graph_ops(ggml_cgraph * cgraph, const char * label, std::set & tests) { + int n_nodes = ggml_graph_n_nodes(cgraph); + int n_skipped = 0; + int n_before = (int) tests.size(); + for (int i = 0; i < n_nodes; i++) { + ggml_tensor * node = ggml_graph_node(cgraph, i); + + if (node->op == GGML_OP_NONE || node->op == GGML_OP_VIEW || node->op == GGML_OP_RESHAPE || node->op == GGML_OP_PERMUTE || node->op == GGML_OP_TRANSPOSE) { + n_skipped++; + continue; + } + + test_object test; + + test.op = node->op; + test.type = node->type; + memcpy(&test.ne, node->ne, 4 * sizeof(int64_t)); + + test.op_params.resize(GGML_MAX_OP_PARAMS / sizeof(int32_t)); + memcpy(test.op_params.data(), node->op_params, GGML_MAX_OP_PARAMS); + + for (size_t s = 0; s < GGML_MAX_SRC; s++) { + if (node->src[s] == nullptr) { + break; + } + + test.sources.emplace_back(node->src[s]->type, node->src[s]->ne, node->src[s]->nb); + } + + test.name = node->name; + tests.insert(test); + } + + int n_new = (int) tests.size() - n_before; + LOG_INF("%s: %d unique ops, %d total nodes, %d skipped (view ops)\n", + label, n_new, n_nodes, n_skipped); +} + +int main(int argc, char ** argv) { + common_params params; + params.out_file = "tests.txt"; + + if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_EXPORT_GRAPH_OPS)) { + return 1; + } + + common_init(); + + // Load CPU-only + ggml_backend_dev_t cpu_device = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU); + params.devices = { cpu_device, nullptr }; + params.fit_params = false; + params.n_gpu_layers = 0; + + params.warmup = false; + + auto init_result = common_init_from_params(params); + + llama_context * ctx = init_result->context(); + + const uint32_t n_seqs = llama_n_seq_max(ctx); + const uint32_t n_tokens = std::min(llama_n_ctx(ctx), llama_n_ubatch(ctx)); + + std::set tests; + + auto * gf_pp = llama_graph_reserve(ctx, n_tokens, n_seqs, n_tokens); + if (!gf_pp) { + throw std::runtime_error("failed to reserve prompt processing graph"); + } + extract_graph_ops(gf_pp, "pp", tests); + + auto * gf_tg = llama_graph_reserve(ctx, n_seqs, n_seqs, n_seqs); + if (!gf_tg) { + throw std::runtime_error("failed to reserve token generation graph"); + } + extract_graph_ops(gf_tg, "tg", tests); + + LOG_INF("%d unique ops total\n", (int) tests.size()); + + std::ofstream f(params.out_file); + + if (!f.is_open()) { + throw std::runtime_error("Unable to open output file"); + } + + for (const auto& test : tests) { + test.serialize(f); + } + + return 0; +} diff --git a/tests/peg-parser/test-basic.cpp b/tests/peg-parser/test-basic.cpp index 872f16a78d..b6af61491d 100644 --- a/tests/peg-parser/test-basic.cpp +++ b/tests/peg-parser/test-basic.cpp @@ -120,7 +120,7 @@ void test_basic(testing & t) { return p.literal("hello") + p.optional(p.literal(" world")); }); - auto ctx = common_peg_parse_context("hello", false); + auto ctx = common_peg_parse_context("hello"); auto result = parser.parse(ctx); t.assert_equal("optional_absent", true, result.success()); t.assert_equal("optional_absent_end", 5u, result.end); @@ -132,7 +132,7 @@ void test_basic(testing & t) { return p.literal("hello") + p.optional(p.literal(" world")); }); - auto ctx = common_peg_parse_context("hello ", true); + auto ctx = common_peg_parse_context("hello ", COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_equal("partial_match_need_more", true, result.need_more_input()); }); @@ -215,7 +215,7 @@ void test_basic(testing & t) { t.test("sequence_partial_match_1", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("") + p.literal(""); }); - auto ctx = common_peg_parse_context("") + p.literal(""); }); - auto ctx = common_peg_parse_context("") + p.literal(""); }); - auto ctx = common_peg_parse_context("I am common_chat_combinator_parser", true); + auto ctx = common_peg_parse_context("I am common_chat_combinator_parser", COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_equal("sequence_no_match", true, result.fail()); }); @@ -260,7 +260,7 @@ void test_basic(testing & t) { t.test("choices_partial_match_1", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("option1") | p.literal("option2"); }); - auto ctx = common_peg_parse_context("opt", true); + auto ctx = common_peg_parse_context("opt", COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_equal("choices_partial_match_1", true, result.need_more_input()); }); @@ -270,7 +270,7 @@ void test_basic(testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("choice_a") | p.literal("choice_b"); }); - auto ctx = common_peg_parse_context("choice", true); + auto ctx = common_peg_parse_context("choice", COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_equal("choices_partial_match_2", true, result.need_more_input()); }); @@ -279,7 +279,7 @@ void test_basic(testing & t) { t.test("choices_full_match_1", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("first") | p.literal("second"); }); - auto ctx = common_peg_parse_context("first", false); + auto ctx = common_peg_parse_context("first"); auto result = parser.parse(ctx); t.assert_equal("choices_full_match_1", true, result.success()); }); @@ -288,7 +288,7 @@ void test_basic(testing & t) { t.test("choices_full_match_2", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("alpha") | p.literal("beta"); }); - auto ctx = common_peg_parse_context("beta", false); + auto ctx = common_peg_parse_context("beta"); auto result = parser.parse(ctx); t.assert_equal("choices_full_match_2", true, result.success()); }); @@ -297,7 +297,7 @@ void test_basic(testing & t) { t.test("choices_no_match", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("good") | p.literal("better"); }); - auto ctx = common_peg_parse_context("best", false); + auto ctx = common_peg_parse_context("best"); auto result = parser.parse(ctx); t.assert_equal("choices_no_match", true, result.fail()); }); @@ -306,7 +306,7 @@ void test_basic(testing & t) { t.test("zero_or_more_partial_match_1", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.zero_or_more(p.literal("ab")); }); - auto ctx = common_peg_parse_context("a", true); + auto ctx = common_peg_parse_context("a", COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_equal("zero_or_more_partial_match_1", true, result.need_more_input()); }); @@ -315,7 +315,7 @@ void test_basic(testing & t) { t.test("zero_or_more_partial_match_2", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.zero_or_more(p.literal("xy")); }); - auto ctx = common_peg_parse_context("xyx", true); + auto ctx = common_peg_parse_context("xyx", COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_equal("zero_or_more_partial_match_2", true, result.need_more_input()); }); @@ -324,7 +324,7 @@ void test_basic(testing & t) { t.test("zero_or_more_full_match", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.zero_or_more(p.literal("test")); }); - auto ctx = common_peg_parse_context("test", false); + auto ctx = common_peg_parse_context("test"); auto result = parser.parse(ctx); t.assert_equal("zero_or_more_full_match", true, result.success()); }); @@ -333,7 +333,7 @@ void test_basic(testing & t) { t.test("one_or_more_partial_match_1", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.one_or_more(p.literal("repeat")); }); - auto ctx = common_peg_parse_context("rep", true); + auto ctx = common_peg_parse_context("rep", COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_equal("one_or_more_partial_match_1", true, result.need_more_input()); }); @@ -342,7 +342,7 @@ void test_basic(testing & t) { t.test("one_or_more_partial_match_2", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.one_or_more(p.literal("ab")); }); - auto ctx = common_peg_parse_context("aba", true); + auto ctx = common_peg_parse_context("aba", COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_equal("one_or_more_partial_match_2", true, result.need_more_input()); }); @@ -351,7 +351,7 @@ void test_basic(testing & t) { t.test("one_or_more_full_match", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.one_or_more(p.literal("single")); }); - auto ctx = common_peg_parse_context("single", false); + auto ctx = common_peg_parse_context("single"); auto result = parser.parse(ctx); t.assert_equal("one_or_more_full_match", true, result.success()); }); @@ -360,7 +360,7 @@ void test_basic(testing & t) { t.test("one_or_more_no_match", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.one_or_more(p.literal("()")); }); - auto ctx = common_peg_parse_context("success", false); + auto ctx = common_peg_parse_context("success"); auto result = parser.parse(ctx); t.assert_equal("one_or_more_no_match", true, result.fail()); }); @@ -376,7 +376,7 @@ void test_basic(testing & t) { return p.rule("value", p.ref("number") | p.ref("list")); }); - common_peg_parse_context ctx("1", false); + common_peg_parse_context ctx("1"); auto result = value_parser.parse(ctx); t.assert_equal("result_is_success", true, result.success()); @@ -390,7 +390,7 @@ void test_basic(testing & t) { return p.rule("value", p.ref("number") | p.ref("list")); }); - common_peg_parse_context ctx("[1]", false); + common_peg_parse_context ctx("[1]"); auto result = value_parser.parse(ctx); t.assert_equal("result_is_success", true, result.success()); @@ -404,7 +404,7 @@ void test_basic(testing & t) { return p.rule("value", p.ref("number") | p.ref("list")); }); - common_peg_parse_context ctx("[[2]]", false); + common_peg_parse_context ctx("[[2]]"); auto result = value_parser.parse(ctx); t.assert_equal("result_is_success", true, result.success()); @@ -418,7 +418,7 @@ void test_basic(testing & t) { return p.rule("value", p.ref("number") | p.ref("list")); }); - common_peg_parse_context ctx("[[[3]]]", false); + common_peg_parse_context ctx("[[[3]]]"); auto result = value_parser.parse(ctx); t.assert_equal("result_is_success", true, result.success()); @@ -432,7 +432,7 @@ void test_basic(testing & t) { return p.rule("value", p.ref("number") | p.ref("list")); }); - common_peg_parse_context ctx("[[", true); + common_peg_parse_context ctx("[[", COMMON_PEG_PARSE_FLAG_LENIENT); auto result = value_parser.parse(ctx); t.assert_equal("result_is_need_more_input", true, result.need_more_input()); @@ -446,7 +446,7 @@ void test_basic(testing & t) { return p.rule("value", p.ref("number") | p.ref("list")); }); - common_peg_parse_context ctx("[a]", false); + common_peg_parse_context ctx("[a]"); auto result = value_parser.parse(ctx); t.assert_equal("result_is_fail", true, result.fail()); @@ -458,8 +458,8 @@ void test_basic(testing & t) { return p.marker(); }); - common_peg_parse_context ctx_square("[marker]", false); - common_peg_parse_context ctx_sharp("", false); + common_peg_parse_context ctx_square("[marker]"); + common_peg_parse_context ctx_sharp(""); auto result_square = bracket_parser.parse(ctx_square); auto result_sharp = bracket_parser.parse(ctx_sharp); diff --git a/tests/peg-parser/test-json-parser.cpp b/tests/peg-parser/test-json-parser.cpp index 48351cd66f..5dd00115ce 100644 --- a/tests/peg-parser/test-json-parser.cpp +++ b/tests/peg-parser/test-json-parser.cpp @@ -46,7 +46,7 @@ void test_json_parser(testing &t) { auto json = build_peg_parser([](common_peg_parser_builder & p) { return p.json(); }); std::string input = R"({"name": "test", "value": )"; - common_peg_parse_context ctx(input, true); + common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = json.parse(ctx); @@ -58,7 +58,7 @@ void test_json_parser(testing &t) { auto json = build_peg_parser([](common_peg_parser_builder & p) { return p.json(); }); std::string input = R"([1, 2, 3, )"; - common_peg_parse_context ctx(input, true); + common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = json.parse(ctx); @@ -70,7 +70,7 @@ void test_json_parser(testing &t) { auto json = build_peg_parser([](common_peg_parser_builder & p) { return p.json(); }); std::string input = R"({"data": {"nested": )"; - common_peg_parse_context ctx(input, true); + common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = json.parse(ctx); @@ -84,7 +84,7 @@ void test_json_parser(testing &t) { t.test("success", [&](testing &t) { std::string input = R"("name": "bob")"; - common_peg_parse_context ctx(input, false); + common_peg_parse_context ctx(input); auto result = parser.parse(ctx); t.assert_true("success", result.success()); @@ -92,7 +92,7 @@ void test_json_parser(testing &t) { t.test("partial", [&](testing &t) { std::string input = R"("name": "bo)"; - common_peg_parse_context ctx(input, true); + common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_true("need more input", result.need_more_input()); @@ -100,7 +100,7 @@ void test_json_parser(testing &t) { t.test("failed", [&](testing &t) { std::string input = R"([])"; - common_peg_parse_context ctx(input, false); + common_peg_parse_context ctx(input); auto result = parser.parse(ctx); t.assert_true("fail", result.fail()); diff --git a/tests/peg-parser/test-python-dict-parser.cpp b/tests/peg-parser/test-python-dict-parser.cpp index d9946a4916..1a549106b8 100644 --- a/tests/peg-parser/test-python-dict-parser.cpp +++ b/tests/peg-parser/test-python-dict-parser.cpp @@ -85,7 +85,7 @@ void test_python_dict_parser(testing &t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); }); std::string input = "{'name': 'test', 'value': "; - common_peg_parse_context ctx(input, true); + common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); @@ -97,7 +97,7 @@ void test_python_dict_parser(testing &t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); }); std::string input = "{'name': 'test"; - common_peg_parse_context ctx(input, true); + common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); @@ -197,7 +197,7 @@ void test_python_dict_parser(testing &t) { // Test single-quoted string content parser directly t.test("single-quoted string content parser", [](testing &t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { - return p.sequence({ p.literal("'"), p.single_quoted_string_content(), p.literal("'"), p.space() }); + return p.sequence({ p.literal("'"), p.string_content('\''), p.literal("'"), p.space() }); }); t.test("simple string", [&](testing &t) { @@ -229,7 +229,7 @@ void test_python_dict_parser(testing &t) { t.test("incomplete string", [&](testing &t) { std::string input = "'hello"; - common_peg_parse_context ctx(input, true); + common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_true("need_more_input", result.need_more_input()); diff --git a/tests/peg-parser/test-unicode.cpp b/tests/peg-parser/test-unicode.cpp index 19d9b9e41c..24663d7017 100644 --- a/tests/peg-parser/test-unicode.cpp +++ b/tests/peg-parser/test-unicode.cpp @@ -58,7 +58,7 @@ void test_unicode(testing &t) { std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input); t.test(test_name, [&](testing &t) { - common_peg_parse_context ctx(tc.input, true); + common_peg_parse_context ctx(tc.input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); // Assert result type matches @@ -101,7 +101,7 @@ void test_unicode(testing &t) { std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input); t.test(test_name, [&](testing &t) { - common_peg_parse_context ctx(tc.input, true); + common_peg_parse_context ctx(tc.input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); // Assert result type matches @@ -142,7 +142,7 @@ void test_unicode(testing &t) { std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input); t.test(test_name, [&](testing &t) { - common_peg_parse_context ctx(tc.input, true); + common_peg_parse_context ctx(tc.input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); // Assert result type matches @@ -187,7 +187,7 @@ void test_unicode(testing &t) { std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input); t.test(test_name, [&](testing &t) { - common_peg_parse_context ctx(tc.input, true); + common_peg_parse_context ctx(tc.input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); // Assert result type matches @@ -225,7 +225,7 @@ void test_unicode(testing &t) { std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input); t.test(test_name, [&](testing &t) { - common_peg_parse_context ctx(tc.input, false); + common_peg_parse_context ctx(tc.input); auto result = parser.parse(ctx); assert_result_equal(t, tc.expected_result, result.type); @@ -259,7 +259,7 @@ void test_unicode(testing &t) { std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input); t.test(test_name, [&](testing &t) { - common_peg_parse_context ctx(tc.input, true); + common_peg_parse_context ctx(tc.input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); assert_result_equal(t, tc.expected_result, result.type); @@ -293,7 +293,7 @@ void test_unicode(testing &t) { std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input); t.test(test_name, [&](testing &t) { - common_peg_parse_context ctx(tc.input, false); + common_peg_parse_context ctx(tc.input); auto result = parser.parse(ctx); assert_result_equal(t, tc.expected_result, result.type); @@ -327,10 +327,10 @@ void test_unicode(testing &t) { t.test(test_name, [&](testing &t) { auto parser = build_peg_parser([](common_peg_parser_builder& p) { - return p.sequence({p.json_string_content(), p.literal("\"")}); + return p.sequence({p.string_content('"'), p.literal("\"")}); }); - common_peg_parse_context ctx(tc.input, false); + common_peg_parse_context ctx(tc.input); auto result = parser.parse(ctx); assert_result_equal(t, tc.expected_result, result.type); @@ -364,10 +364,10 @@ void test_unicode(testing &t) { t.test(test_name, [&](testing &t) { auto parser = build_peg_parser([](common_peg_parser_builder& p) { - return p.json_string_content(); + return p.string_content('"'); }); - common_peg_parse_context ctx(tc.input, true); + common_peg_parse_context ctx(tc.input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); assert_result_equal(t, tc.expected_result, result.type); @@ -390,9 +390,6 @@ void test_unicode(testing &t) { // Invalid continuation byte {std::string("\xC3\x28"), "", COMMON_PEG_PARSE_RESULT_FAIL}, - - // Overlong encoding (security issue) - {std::string("\xC0\x80"), "", COMMON_PEG_PARSE_RESULT_FAIL}, }; for (size_t i = 0; i < test_cases.size(); i++) { @@ -401,10 +398,10 @@ void test_unicode(testing &t) { t.test(test_name, [&](testing &t) { auto parser = build_peg_parser([](common_peg_parser_builder& p) { - return p.json_string_content(); + return p.string_content('"'); }); - common_peg_parse_context ctx(tc.input, false); + common_peg_parse_context ctx(tc.input); auto result = parser.parse(ctx); assert_result_equal(t, tc.expected_result, result.type); @@ -430,10 +427,10 @@ void test_unicode(testing &t) { t.test(test_name, [&](testing &t) { auto parser = build_peg_parser([](common_peg_parser_builder& p) { - return p.sequence({p.json_string_content(), p.literal("\"")}); + return p.sequence({p.string_content('"'), p.literal("\"")}); }); - common_peg_parse_context ctx(tc.input, false); + common_peg_parse_context ctx(tc.input); auto result = parser.parse(ctx); assert_result_equal(t, tc.expected_result, result.type); diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp index faa771e086..c9896cc11e 100644 --- a/tests/test-backend-ops.cpp +++ b/tests/test-backend-ops.cpp @@ -31,10 +31,12 @@ #include #include #include +#include #include #include #include #include +#include #include #include #include @@ -3665,6 +3667,51 @@ struct test_rwkv_wkv6 : public test_case { } }; +// GGML_OP_GATED_DELTA_NET +struct test_gated_delta_net : public test_case { + const ggml_type type; + + const int64_t head_count; + const int64_t head_size; + const int64_t n_seq_tokens; + const int64_t n_seqs; + const int v_repeat; + const bool permuted; + const bool kda; + + std::string vars() override { + return VARS_TO_STR8(type, head_count, head_size, n_seq_tokens, n_seqs, v_repeat, permuted, kda); + } + + test_gated_delta_net(ggml_type type = GGML_TYPE_F32, + int64_t head_count = 4, int64_t head_size = 16, int64_t n_seq_tokens = 1, int64_t n_seqs = 1, + int v_repeat = 1, bool permuted = false, bool kda = false) + : type(type), head_count(head_count), head_size(head_size), n_seq_tokens(n_seq_tokens), n_seqs(n_seqs), + v_repeat(v_repeat), permuted(permuted), kda(kda) {} + + ggml_tensor * build_graph(ggml_context * ctx) override { + ggml_tensor * q; + ggml_tensor * k; + ggml_tensor * v; + if (permuted) { + // create with dims 1 and 2 swapped, then permute back to get non-contiguous layout + q = ggml_permute(ctx, ggml_new_tensor_4d(ctx, type, head_size, n_seq_tokens, head_count, n_seqs), 0, 2, 1, 3); + k = ggml_permute(ctx, ggml_new_tensor_4d(ctx, type, head_size, n_seq_tokens, head_count, n_seqs), 0, 2, 1, 3); + v = ggml_permute(ctx, ggml_new_tensor_4d(ctx, type, head_size, n_seq_tokens, head_count * v_repeat, n_seqs), 0, 2, 1, 3); + } else { + q = ggml_new_tensor_4d(ctx, type, head_size, head_count, n_seq_tokens, n_seqs); + k = ggml_new_tensor_4d(ctx, type, head_size, head_count, n_seq_tokens, n_seqs); + v = ggml_new_tensor_4d(ctx, type, head_size, head_count * v_repeat, n_seq_tokens, n_seqs); + } + const int64_t g_ne0 = kda ? head_size : 1; + ggml_tensor * g = ggml_new_tensor_4d(ctx, type, g_ne0, head_count * v_repeat, n_seq_tokens, n_seqs); + ggml_tensor * beta = ggml_new_tensor_4d(ctx, type, 1, head_count * v_repeat, n_seq_tokens, n_seqs); + ggml_tensor * state = ggml_new_tensor_2d(ctx, type, head_size * v_repeat * head_size * head_count, n_seqs); + ggml_tensor * out = ggml_gated_delta_net(ctx, q, k, v, g, beta, state); + return out; + } +}; + // GGML_OP_GATED_LINEAR_ATTN struct test_gla : public test_case { const ggml_type type; @@ -6603,6 +6650,236 @@ struct test_diag : public test_case { } }; +// Deserializable generic test case +struct input_tensor { + ggml_type type; + std::array ne; + std::array nb; // strides (0 = use default contiguous strides) +}; + +static bool is_non_contiguous(const input_tensor & src) { + if (src.nb[0] == 0) { + return false; + } + const size_t default_nb0 = ggml_type_size(src.type); + const size_t default_nb1 = default_nb0 * (src.ne[0] / ggml_blck_size(src.type)); + const size_t default_nb2 = default_nb1 * src.ne[1]; + const size_t default_nb3 = default_nb2 * src.ne[2]; + return src.nb[0] != default_nb0 || + src.nb[1] != default_nb1 || + src.nb[2] != default_nb2 || + src.nb[3] != default_nb3; +} + +static std::string var_to_str(const std::vector& sources) { + std::ostringstream oss; + bool first = true; + for (const auto& src : sources) { + if (!first) oss << ","; + oss << ggml_type_name(src.type) << "[" << src.ne[0] << "," << src.ne[1] << "," << src.ne[2] << "," << src.ne[3] << "]"; + if (is_non_contiguous(src)) { + oss << "nb[" << src.nb[0] << "," << src.nb[1] << "," << src.nb[2] << "," << src.nb[3] << "]"; + } + first = false; + } + return oss.str(); +} + +static std::string var_to_str(const std::array& params) { + std::ostringstream oss; + oss << "["; + bool first = true; + for (size_t i = 0; i < params.size(); ++i) { + if (params[i] != 0) { + if (!first) oss << ","; + oss << i << ":" << params[i]; + first = false; + } + } + oss << "]"; + return oss.str(); +} + + +struct test_generic_op : public test_case { + const ggml_op op; + const ggml_type type; + const std::array ne; + const std::array op_params; + + const std::vector sources; + const std::string name; + + std::string vars() override { + if (name.empty()) { + return VARS_TO_STR4(type, ne, op_params, sources); + } + + return VARS_TO_STR5(name, type, ne, op_params, sources); + } + + test_generic_op(ggml_op op, ggml_type type, std::array ne, + std::array op_params, + std::vector sources, std::string name = "") + : op(op), type(type), ne(ne), op_params(op_params), sources(sources), name(std::move(name)) {} + + ggml_tensor * build_graph(ggml_context * ctx) override { + const size_t source_count = std::min(sources.size(), (size_t)GGML_MAX_SRC); + + std::array source_tensors; + for (size_t i = 0; i < source_count; ++i) { + const input_tensor& src = sources[i]; + + if (is_non_contiguous(src)) { + size_t total_size; + const size_t blck_size = ggml_blck_size(src.type); + if (blck_size == 1) { + total_size = ggml_type_size(src.type); + for (int d = 0; d < 4; d++) { + total_size += (src.ne[d] - 1) * src.nb[d]; + } + } else { + total_size = src.ne[0] * src.nb[0] / blck_size; + for (int d = 1; d < 4; d++) { + total_size += (src.ne[d] - 1) * src.nb[d]; + } + } + + // Convert bytes to elements, padded to block size for quantized types + const size_t type_size = ggml_type_size(src.type); + size_t backing_elements = (total_size * blck_size + type_size - 1) / type_size; + backing_elements = ((backing_elements + blck_size - 1) / blck_size) * blck_size; + ggml_tensor * backing = ggml_new_tensor_1d(ctx, src.type, backing_elements); + source_tensors[i] = ggml_view_4d(ctx, backing, + src.ne[0], src.ne[1], src.ne[2], src.ne[3], + src.nb[1], src.nb[2], src.nb[3], 0); + // nb[0] does not get set by view_4d, so set it manually + source_tensors[i]->nb[0] = src.nb[0]; + } else { + source_tensors[i] = ggml_new_tensor_4d(ctx, src.type, src.ne[0], src.ne[1], src.ne[2], src.ne[3]); + } + } + + // Ops with an inplace flag create a view of src[0] as their output. + bool inplace = false; + if (op == GGML_OP_SET || op == GGML_OP_ACC) { + inplace = op_params[4] != 0; + } else if (op == GGML_OP_ADD_REL_POS) { + inplace = op_params[0] != 0; + } + + ggml_tensor * out; + if (inplace && source_count > 0) { + out = ggml_view_tensor(ctx, source_tensors[0]); + } else { + out = ggml_new_tensor_4d(ctx, type, ne[0], ne[1], ne[2], ne[3]); + } + out->op = op; + for (size_t i = 0; i < source_count; ++i) { + out->src[i] = source_tensors[i]; + } + + memcpy(out->op_params, op_params.data(), GGML_MAX_OP_PARAMS); + ggml_set_name(out, "out"); + + return out; + } + + double max_nmse_err() override { + switch (op) { + case GGML_OP_MUL_MAT: + case GGML_OP_MUL_MAT_ID: + case GGML_OP_OUT_PROD: + case GGML_OP_CONV_TRANSPOSE_2D: + case GGML_OP_IM2COL: + case GGML_OP_CONV_2D: + case GGML_OP_CONV_3D: + case GGML_OP_SET_ROWS: + case GGML_OP_CPY: + return 5e-4; + case GGML_OP_SOFT_MAX: + return 1e-6; + case GGML_OP_RWKV_WKV7: + return 5e-3; + case GGML_OP_FLASH_ATTN_EXT: + { + // Scale error with kv length to account for accumulating floating point error + const int64_t kv = sources[1].ne[1]; + return 5e-4 * std::max(1.0, kv / 20000.0); + } + default: + return 1e-7; + } + } + + void initialize_tensors(ggml_context * ctx) override { + ggml_tensor * out = ggml_get_tensor(ctx, "out"); + + std::random_device rd; + std::default_random_engine rng(rd()); + + for (size_t i = 0; i < sources.size() && i < GGML_MAX_SRC; i++) { + ggml_tensor * t = out->src[i]; + if (!t) { + break; + } + + // FLASH_ATTN_EXT: src[3] is the KQ mask + if (op == GGML_OP_FLASH_ATTN_EXT && i == 3) { + init_tensor_kq_mask(t); + continue; + } + + if (t->type == GGML_TYPE_I32 || t->type == GGML_TYPE_I64) { + if (op == GGML_OP_GET_ROWS || op == GGML_OP_GET_ROWS_BACK) { + const int64_t num_rows = sources[0].ne[1]; + const int64_t nels = ggml_nelements(t); + std::vector data(nels); + std::uniform_int_distribution dist(0, num_rows - 1); + for (int64_t i = 0; i < nels; i++) { + data[i] = dist(rng); + } + ggml_backend_tensor_set(t, data.data(), 0, nels * sizeof(int32_t)); + } else if (op == GGML_OP_SET_ROWS) { + init_set_rows_row_ids(t, ne[1]); + } else if (op == GGML_OP_ROPE) { + const int mode = op_params[2]; + const int64_t nels = (mode & GGML_ROPE_TYPE_MROPE) ? ne[2] * 4 : ne[2]; + std::vector data(nels); + std::uniform_int_distribution dist(0, ne[2] - 1); + for (int64_t i = 0; i < nels; i++) { + data[i] = dist(rng); + } + ggml_backend_tensor_set(t, data.data(), 0, nels * sizeof(int32_t)); + } else if (op == GGML_OP_MUL_MAT_ID || op == GGML_OP_ADD_ID) { + const int64_t n_expert = (op == GGML_OP_MUL_MAT_ID) ? sources[0].ne[2] : sources[1].ne[1]; + for (int64_t r = 0; r < ggml_nrows(t); r++) { + std::vector data(t->ne[0]); + for (int32_t i = 0; i < t->ne[0]; i++) { + data[i] = i % n_expert; + } + std::shuffle(data.begin(), data.end(), rng); + ggml_backend_tensor_set(t, data.data(), r * t->nb[1], t->ne[0] * sizeof(int32_t)); + } + } else if (op == GGML_OP_SSM_SCAN) { + for (int64_t r = 0; r < ggml_nrows(t); r++) { + std::vector data(t->ne[0]); + for (int32_t i = 0; i < t->ne[0]; i++) { + data[i] = i; + } + std::shuffle(data.begin(), data.end(), rng); + ggml_backend_tensor_set(t, data.data(), r * t->nb[1], t->ne[0] * sizeof(int32_t)); + } + } else { + init_tensor_uniform(t); + } + } else { + init_tensor_uniform(t); + } + } + } +}; + enum llm_norm_type { LLM_NORM, @@ -7611,7 +7888,7 @@ static std::vector> make_test_cases_eval() { test_cases.emplace_back(new test_softcap(GGML_TYPE_F32, {10, 10, 10, 10}, 50.0f)); test_cases.emplace_back(new test_silu_back()); - for (float eps : { 0.0f, 1e-6f, 1e-4f, 1e-1f }) { + for (float eps : { 0.0f, 1e-6f, 1e-4f, 1e-1f, 10.f }) { for (uint32_t n : { 64, 1025 }) { for (bool v : { false, true }) { test_cases.emplace_back(new test_norm(GGML_TYPE_F32, { n, 5, 4, 3 }, v, eps)); @@ -7809,10 +8086,6 @@ static std::vector> make_test_cases_eval() { test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F32, 1056, 1, 67, {1, 1}, {4, 1}, {0, 2, 1, 3})); test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F32, GGML_TYPE_F32, 16, 32, 32, { 1, 1}, {1, 1}, {0, 1, 2, 3}, 64, 3)); test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F32, GGML_TYPE_F32, 64, 77, 77, {12,1}, {1,1})); - test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F32, 2, 1, 3, {128, 1024}, {1, 1})); - test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F32, 2, 3, 4, {128, 1024}, {1, 1})); - test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F32, 2, 1, 3, {128*1024, 1}, {1, 1}, {0, 2, 1, 3})); - test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F32, 2, 1, 3, {128*1024, 1}, {1, 1}, {0, 1, 2, 3}, 64)); test_cases.emplace_back(new test_mul_mat(GGML_TYPE_Q4_0, GGML_TYPE_F32, 576, 512, 576, {1,1}, {1,1})); test_cases.emplace_back(new test_mul_mat(GGML_TYPE_Q4_0, GGML_TYPE_F32, 1, 2048, 8192, {1, 1}, {1, 1})); @@ -8303,11 +8576,12 @@ static std::vector> make_test_cases_eval() { } } - for (int hsk : { 40, 64, 72, 80, 96, 128, 192, 256, 576 }) { + for (int hsk : { 40, 64, 72, 80, 96, 128, 192, 256, 320, 576 }) { for (int hsv : { 40, 64, 72, 80, 96, 128, 192, 256, 512 }) { - if (hsk != 192 && hsk != 576 && hsk != hsv) continue; + if (hsk != 192 && hsk != 320 && hsk != 576 && hsk != hsv) continue; if (hsk == 192 && (hsv != 128 && hsv != 192)) continue; if (hsk == 576 && hsv != 512) continue; // DeepSeek MLA + if (hsk == 320 && hsv != 256) continue; // MLA for (bool mask : { true, false } ) { for (bool sinks : { true, false } ) { @@ -8316,12 +8590,13 @@ static std::vector> make_test_cases_eval() { for (float logit_softcap : {0.0f, 10.0f}) { if (hsk != 128 && logit_softcap != 0.0f) continue; for (int nh : { 1, 4 }) { - if (nh == 1 && hsk != 576) continue; // GLM 4.7 Flash + if (nh == 1 && hsk != 320 && hsk != 576) continue; // GLM 4.7 Flash for (int nr3 : { 1, 3, }) { if (hsk > 64 && nr3 > 1) continue; // skip broadcast for large head sizes - for (int nr2 : { 1, 4, 12, 20 }) { + for (int nr2 : { 1, 4, 12, 20, 32 }) { if (nr2 == 12 && hsk != 128) continue; if (nr2 == 20 && (nh != 1 || hsk != 576)) continue; + if (nr2 == 32 && (nh != 1 || hsk != 320)) continue; //for (int kv : { 1, 17, 31, 33, 61, 113, 65, 127, 129, 130, 255, 260, 371, 380, 407, 512, 1024, }) { for (int kv : { 113, 512, 1024, }) { if (nr2 != 1 && kv != 512) continue; @@ -8405,6 +8680,26 @@ static std::vector> make_test_cases_eval() { } } + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 128, 1, 1)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 16, 1, 1)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 16, 1, 1, 1, true, true)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 16, 1, 1, 1, false, true)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 16, 64, 1, 2)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 4, 1)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 4, 2)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 8, 32, 4, 2, 2)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 4, 2, 1, true)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 4, 1, 1, true)); + // KDA (vector gate) + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 1, 1, 1, false, true)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 1, 2, 1, false, true)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 16, 1, 2, 1, false, true)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 32, 4, 1, 1, false, true)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 4, 2, 1, false, true)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 8, 32, 4, 2, 2, false, true)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 4, 2, 1, true, true)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 16, 4, 2, 1, true, true)); + #if 0 // these tests are disabled to save execution time, sbut they can be handy for debugging test_cases.emplace_back(new test_llama(2, true)); @@ -8670,11 +8965,92 @@ static std::vector> make_test_cases_perf() { test_cases.emplace_back(new test_acc(GGML_TYPE_F32, {256, 17, 2, 3}, {128, 16, 2, 3}, 2)); test_cases.emplace_back(new test_acc(GGML_TYPE_F32, {256, 17, 2, 3}, {64, 16, 2, 3}, 3)); + // GATED_DELTA_NET: realistic model configurations + // TG: n_seq_tokens=1 (autoregressive) + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 128, 1, 1)); // Qwen3.5-like: 32 heads, d=128 + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 16, 64, 1, 1)); // smaller model + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 128, 1, 1, 1, false, true)); // KDA + // PP: n_seq_tokens=64,256 (prompt processing) + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 128, 64, 1)); // PP-64 + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 128, 256, 1)); // PP-256 + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 128, 512, 1)); // PP-512 + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 128, 1024, 1)); // PP-1024 + // Small model configs (fewer heads = less GPU occupancy for autoregressive) + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 128, 64, 1)); // 4h PP-64 + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 128, 256, 1)); // 4h PP-256 + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 128, 512, 1)); // 4h PP-512 + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 128, 1024, 1)); // 4h PP-1024 + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 128, 64, 1, 1, false, true)); // KDA PP-64 + + return test_cases; +} + +static std::vector> make_test_cases_from_file(const char * path) { + std::ifstream f(path); + + if (!f.is_open()) { + throw std::runtime_error("Unable to read test file"); + } + + std::vector> test_cases; + + std::string line; + + while (std::getline(f, line)) { + std::istringstream iss(line); + + ggml_op op; + ggml_type type; + std::array ne; + std::array op_params = {}; + std::string name; + uint64_t tmp; + + iss >> tmp; + op = (ggml_op)tmp; + iss >> tmp; + type = (ggml_type)tmp; + + for (size_t i = 0; i < 4; i++) { + iss >> ne[i]; + } + + iss >> tmp; + for (size_t i = 0; i < tmp && i < op_params.size(); i++) { + iss >> op_params[i]; + } + + iss >> tmp; + + size_t num_src = std::min((uint64_t)GGML_MAX_SRC, tmp); + std::vector sources(num_src); + for (size_t i = 0; i < num_src; i++) { + input_tensor& src = sources[i]; + iss >> tmp; + src.type = (ggml_type)tmp; + + for (size_t i = 0; i < 4; i++) { + iss >> src.ne[i]; + } + for (size_t i = 0; i < 4; i++) { + iss >> src.nb[i]; + } + } + + iss >> name; + + if (name.length() == 1 && name[0] == '-') { + name = ""; + } + + test_cases.emplace_back(new test_generic_op(op, type, ne, op_params, sources, std::move(name))); + } + return test_cases; } static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op_names_filter, const char * params_filter, - printer * output_printer) { + printer * output_printer, const char * test_file_path) { auto filter_test_cases = [](std::vector> & test_cases, const char * params_filter) { if (params_filter == nullptr) { return; @@ -8692,9 +9068,26 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op } }; + std::vector> test_cases; + + if (test_file_path == nullptr) { + switch (mode) { + case MODE_TEST: + case MODE_GRAD: + case MODE_SUPPORT: + test_cases = make_test_cases_eval(); + break; + case MODE_PERF: + test_cases = make_test_cases_perf(); + break; + } + } else { + test_cases = make_test_cases_from_file(test_file_path); + } + + filter_test_cases(test_cases, params_filter); + if (mode == MODE_TEST) { - auto test_cases = make_test_cases_eval(); - filter_test_cases(test_cases, params_filter); ggml_backend_t backend_cpu = ggml_backend_init_by_type(GGML_BACKEND_DEVICE_TYPE_CPU, NULL); if (backend_cpu == NULL) { test_operation_info info("", "", "CPU"); @@ -8734,8 +9127,6 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op } if (mode == MODE_GRAD) { - auto test_cases = make_test_cases_eval(); - filter_test_cases(test_cases, params_filter); size_t n_ok = 0; for (auto & test : test_cases) { if (test->eval_grad(backend, op_names_filter, output_printer)) { @@ -8748,8 +9139,6 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op } if (mode == MODE_PERF) { - auto test_cases = make_test_cases_perf(); - filter_test_cases(test_cases, params_filter); for (auto & test : test_cases) { test->eval_perf(backend, op_names_filter, output_printer); } @@ -8757,9 +9146,6 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op } if (mode == MODE_SUPPORT) { - auto test_cases = make_test_cases_eval(); - filter_test_cases(test_cases, params_filter); - // Filter out fusion cases test_cases.erase( std::remove_if(test_cases.begin(), test_cases.end(), [](const std::unique_ptr & tc) { @@ -8878,7 +9264,8 @@ static void show_test_coverage() { } static void usage(char ** argv) { - printf("Usage: %s [mode] [-o ] [-b ] [-p ] [--output ] [--list-ops] [--show-coverage]\n", argv[0]); + printf("Usage: %s [mode] [-o ] [-b ] [-p ] [--output ] [--list-ops]", argv[0]); + printf(" [--show-coverage] [--test-file ]\n"); printf(" valid modes:\n"); printf(" - test (default, compare with CPU backend for correctness)\n"); printf(" - grad (compare gradients from backpropagation with method of finite differences)\n"); @@ -8889,6 +9276,7 @@ static void usage(char ** argv) { printf(" --output specifies output format (default: console, options: console, sql, csv)\n"); printf(" --list-ops lists all available GGML operations\n"); printf(" --show-coverage shows test coverage\n"); + printf(" --test-file reads test operators from a test file generated by llama-export-graph-ops\n"); } int main(int argc, char ** argv) { @@ -8897,6 +9285,7 @@ int main(int argc, char ** argv) { const char * op_names_filter = nullptr; const char * backend_filter = nullptr; const char * params_filter = nullptr; + const char * test_file_path = nullptr; for (int i = 1; i < argc; i++) { if (strcmp(argv[i], "test") == 0) { @@ -8944,6 +9333,13 @@ int main(int argc, char ** argv) { } else if (strcmp(argv[i], "--show-coverage") == 0) { show_test_coverage(); return 0; + } else if (strcmp(argv[i], "--test-file") == 0) { + if (i + 1 < argc) { + test_file_path = argv[++i]; + } else { + usage(argv); + return 1; + } } else { usage(argv); return 1; @@ -8996,7 +9392,7 @@ int main(int argc, char ** argv) { false, "", ggml_backend_dev_description(dev), total / 1024 / 1024, free / 1024 / 1024, true)); - bool ok = test_backend(backend, mode, op_names_filter, params_filter, output_printer.get()); + bool ok = test_backend(backend, mode, op_names_filter, params_filter, output_printer.get(), test_file_path); if (ok) { n_ok++; diff --git a/tests/test-backend-sampler.cpp b/tests/test-backend-sampler.cpp index d4cd62c71e..58361ae80a 100644 --- a/tests/test-backend-sampler.cpp +++ b/tests/test-backend-sampler.cpp @@ -89,6 +89,7 @@ struct test_context { cparams.n_batch = 512; cparams.samplers = configs.data(); cparams.n_samplers = configs.size(); + cparams.kv_unified = true; // If n_seq_max is not specified, calculate it from configs if (n_seq_max < 0) { diff --git a/tests/test-chat-auto-parser.cpp b/tests/test-chat-auto-parser.cpp index f2364862c5..0ba51ba235 100644 --- a/tests/test-chat-auto-parser.cpp +++ b/tests/test-chat-auto-parser.cpp @@ -22,6 +22,7 @@ static void test_calculate_diff_split_no_common(testing & t); static void test_calculate_diff_split_single_char(testing & t); static void test_calculate_diff_split_overlaps(testing & t); static void test_calculate_diff_split_tag_boundaries(testing & t); +static void test_calculate_diff_split_generation_prompt(testing & t); static void test_calculate_diff_split(testing & t); static void test_until_common_prefix_basic(testing & t); @@ -179,6 +180,7 @@ static void test_calculate_diff_split(testing & t) { t.test("calculate_diff_split single char", test_calculate_diff_split_single_char); t.test("calculate_diff_split overlaps", test_calculate_diff_split_overlaps); t.test("calculate_diff_split tag boundaries", test_calculate_diff_split_tag_boundaries); + t.test("calculate_diff_split generation prompt", test_calculate_diff_split_generation_prompt); } static void test_calculate_diff_split_basic(testing & t) { @@ -502,6 +504,39 @@ static void test_calculate_diff_split_tag_boundaries(testing & t) { } } +static void test_calculate_diff_split_generation_prompt(testing & t) { + // ChatML thinking template: left is a prefix of right, generation_prompt is the appended part. + // The trailing \n in left matches the trailing \n in the generation_prompt, causing + // the suffix matcher to steal it and rotate the diff result. + { + // Simplified reproduction: left ends with \n, right = left + "<|im_start|>assistant\n\n" + std::string left = "<|im_start|>user\nHello<|im_end|>\n"; + std::string right = left + "<|im_start|>assistant\n\n"; + diff_split result = calculate_diff_split(left, right); + t.assert_equal("chatml prefix", left, result.prefix); + t.assert_equal("chatml left", "", result.left); + t.assert_equal("chatml right should be generation prompt", + "<|im_start|>assistant\n\n", result.right); + t.assert_equal("chatml suffix", "", result.suffix); + } + + { + // More realistic: longer conversation ending with tool_response + std::string common = + "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n" + "<|im_start|>user\nSearch for files<|im_end|>\n" + "<|im_start|>assistant\n\nLet me search.\n\n\n" + "\n\n\n<|im_end|>\n" + "<|im_start|>user\n\nNo files found\n<|im_end|>\n"; + std::string left = common; + std::string right = common + "<|im_start|>assistant\n\n"; + diff_split result = calculate_diff_split(left, right); + t.assert_equal("tool_response left", "", result.left); + t.assert_equal("tool_response right should be generation prompt", + "<|im_start|>assistant\n\n", result.right); + } +} + static void test_until_common_prefix(testing & t) { t.test("until_common_prefix basic", test_until_common_prefix_basic); } @@ -1292,11 +1327,11 @@ static void test_nemotron_reasoning_detection(testing & t) { // Check reasoning markers t.assert_equal("reasoning_start should be ''", "", analysis.reasoning.start); - t.assert_equal("reasoning_end should be '\\n'", "\n", analysis.reasoning.end); + t.assert_equal("reasoning_end should be ''", "", analysis.reasoning.end); // Check reasoning mode detection - // Nemotron uses forced closed reasoning with add_generation_prompt - t.assert_equal("reasoning should be FORCED_CLOSED", reasoning_mode::FORCED_CLOSED, analysis.reasoning.mode); + // Nemotron uses tag-based reasoning; prefill handles the template's forced markers + t.assert_equal("reasoning should be TAG_BASED", reasoning_mode::TAG_BASED, analysis.reasoning.mode); // Make sure reasoning markers don't spill over to content markers t.assert_equal("content start should be empty", "", analysis.content.start); @@ -1478,7 +1513,7 @@ static void test_standard_json_tools_openai(testing & t) { R"({"id": "call_abc123", "function": {"name": "get_current_weather", "arguments": {"location": "NYC"}}})" ""; - common_peg_parse_context ctx(input, false); + common_peg_parse_context ctx(input); auto result = parser.parse(ctx); if (!t.assert_true("parse success", result.success())) { @@ -1524,7 +1559,7 @@ static void test_standard_json_tools_cohere(testing & t) { R"({"tool_call_id": 0, "tool_name": "get_current_weather", "parameters": {"location": "NYC", "unit": "celsius"}})" "]<|END_ACTION|>"; - common_peg_parse_context ctx(input, false); + common_peg_parse_context ctx(input); auto result = parser.parse(ctx); if (!t.assert_true("parse success", result.success())) { @@ -1570,7 +1605,7 @@ static void test_standard_json_tools_function_key(testing & t) { R"({"get_current_weather": {"id": "call-0001", "args": {"location": "NYC", "unit": "celsius"}}})" "]"; - common_peg_parse_context ctx(input, false); + common_peg_parse_context ctx(input); auto result = parser.parse(ctx); if (!t.assert_true("parse success", result.success())) { @@ -1845,7 +1880,7 @@ static void test_tagged_args_with_embedded_quotes(testing & t) { "\n" ""; - common_peg_parse_context ctx(input, false); + common_peg_parse_context ctx(input); auto result = parser.parse(ctx); if (!t.assert_true("parse success", result.success())) { diff --git a/tests/test-chat-peg-parser.cpp b/tests/test-chat-peg-parser.cpp index 7626ca12db..908b13fd0c 100644 --- a/tests/test-chat-peg-parser.cpp +++ b/tests/test-chat-peg-parser.cpp @@ -145,7 +145,7 @@ static void test_example_native(testing & t) { common_reasoning_format reasoning_format; json json_schema; bool parallel_tool_calls; - bool thinking_forced_open; + std::string generation_prompt; std::string input; // Expect @@ -157,14 +157,8 @@ static void test_example_native(testing & t) { auto build_parser = [](const test_case & tc) { return build_chat_peg_parser([&](common_chat_peg_builder & p) { auto reasoning_in_content = (tc.reasoning_format == COMMON_REASONING_FORMAT_NONE); - auto reasoning = p.eps(); - if (tc.thinking_forced_open) { - // If thinking is forced open, expect a closing tag - reasoning = p.reasoning(p.until("")) + "" + p.space(); - } else { - // Otherwise, optionally accept thinking wrapped in tags - reasoning = p.optional("" + p.reasoning(p.until("")) + "" + p.space()); - } + // Always use optional TAG_BASED pattern; generation_prompt is prepended to input + auto reasoning = p.optional("" + p.reasoning(p.until("")) + "" + p.space()); // tool calling parser if (tc.tools.is_array() && !tc.tools.empty()) { @@ -190,78 +184,91 @@ static void test_example_native(testing & t) { std::vector test_cases = std::vector{ { - /* .name = */ "content with thinking_forced_open = false", + /* .name = */ "content with reasoning (no generation_prompt)", /* .tools = */ {}, /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE, /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, /* .json_schema = */ {}, /* .parallel_tool_calls = */ false, - /* .thinking_forced_open = */ false, + /* .generation_prompt = */ "", /* .input = */ ("The user said hello, I must say hello back\nHello"), /* .expect_reasoning = */ "The user said hello, I must say hello back", /* .expect_content = */ "Hello", /* .expect_tool_calls = */ {}, }, { - /* .name = */ "content with thinking_forced_open = false and no reasoning", + /* .name = */ "content without reasoning (no generation_prompt)", /* .tools = */ {}, /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE, /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, /* .json_schema = */ {}, /* .parallel_tool_calls = */ false, - /* .thinking_forced_open = */ false, + /* .generation_prompt = */ "", /* .input = */ ("Hello"), /* .expect_reasoning = */ "", /* .expect_content = */ "Hello", /* .expect_tool_calls = */ {}, }, { - /* .name = */ "content with thinking_forced_open = false and reasoning_format = none", + /* .name = */ "content with reasoning_format = none (tags appear in content)", /* .tools = */ {}, /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE, /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE, /* .json_schema = */ {}, /* .parallel_tool_calls = */ false, - /* .thinking_forced_open = */ true, + /* .generation_prompt = */ "", /* .input = */ ("The user said hello, I must say hello back\nHello"), /* .expect_reasoning = */ "", /* .expect_content = */ "The user said hello, I must say hello back\nHello", /* .expect_tool_calls = */ {}, }, { - /* .name = */ "content with thinking_forced_open = true", + /* .name = */ "content with reasoning generation_prompt", /* .tools = */ {}, /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE, /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, /* .json_schema = */ {}, /* .parallel_tool_calls = */ false, - /* .thinking_forced_open = */ true, + /* .generation_prompt = */ "", /* .input = */ ("The user said hello, I must say hello back\nHello"), /* .expect_reasoning = */ "The user said hello, I must say hello back", /* .expect_content = */ "Hello", /* .expect_tool_calls = */ {}, }, { - /* .name = */ "content with thinking_forced_open = true and reasoning_format = none", + /* .name = */ "content with reasoning generation_prompt and reasoning_format = none", /* .tools = */ {}, /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE, /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE, /* .json_schema = */ {}, /* .parallel_tool_calls = */ false, - /* .thinking_forced_open = */ true, + /* .generation_prompt = */ "", /* .input = */ ("The user said hello, I must say hello back\nHello"), /* .expect_reasoning = */ "", /* .expect_content = */ "The user said hello, I must say hello back\nHello", /* .expect_tool_calls = */ {}, }, { - /* .name = */ "tools with tool_choice = auto and no parallel_tool_calls", + /* .name = */ "content with closed reasoning generation_prompt (empty reasoning discarded)", + /* .tools = */ {}, + /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE, + /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, + /* .json_schema = */ {}, + /* .parallel_tool_calls = */ false, + /* .generation_prompt = */ "", + /* .input = */ ("Hello"), + /* .expect_reasoning = */ "", + /* .expect_content = */ "Hello", + /* .expect_tool_calls = */ {}, + }, + { + /* .name = */ "tools with reasoning generation_prompt", /* .tools = */ create_tools(), /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_AUTO, /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, /* .json_schema = */ {}, /* .parallel_tool_calls = */ false, - /* .thinking_forced_open = */ true, + /* .generation_prompt = */ "", /* .input = */ ("I must get the weather in New York\n" "[" @@ -277,13 +284,13 @@ static void test_example_native(testing & t) { } }, }, { - /* .name = */ "tools with tool_choice = auto and parallel_tool_calls", + /* .name = */ "parallel tools with reasoning generation_prompt", /* .tools = */ create_tools(), /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_AUTO, /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, /* .json_schema = */ {}, /* .parallel_tool_calls = */ true, - /* .thinking_forced_open = */ true, + /* .generation_prompt = */ "", /* .input = */ ("I must get the weather in New York and San Francisco and a 3 day forecast of each.\nLet me " "search that for you." @@ -321,7 +328,7 @@ static void test_example_native(testing & t) { } }, }, { - /* .name = */ "response_format with thinking_forced_open = true", + /* .name = */ "response_format with reasoning generation_prompt", /* .tools = */ {}, /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE, /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, @@ -333,7 +340,7 @@ static void test_example_native(testing & t) { { "due_date", { { "type", "string" } } } } }, { "required", { "invoice_number", "amount", "due_date" } } }, /* .parallel_tool_calls = */ false, - /* .thinking_forced_open = */ true, + /* .generation_prompt = */ "", /* .input = */ ("I must produce the invoice in the requested format\n" R"({"invoice_number": "INV-2025-001", "amount": 1250.50, "due_date": "2025-12-31"})"), @@ -361,7 +368,8 @@ static void test_example_native(testing & t) { t.log(line); } - common_peg_parse_context ctx(tc.input, false); + std::string effective_input = tc.generation_prompt + tc.input; + common_peg_parse_context ctx(effective_input); auto result = parser.parse(ctx); t.assert_true("success", result.success()); @@ -458,7 +466,7 @@ static void test_example_qwen3_coder(testing & t) { for (auto it = tokens.begin(); it != tokens.end(); it++) { std::string in = std::accumulate(tokens.begin(), it + 1, std::string()); - common_peg_parse_context ctx(in, it + 1 < tokens.end()); + common_peg_parse_context ctx(in, (it + 1 < tokens.end()) ? COMMON_PEG_PARSE_FLAG_LENIENT : COMMON_PEG_PARSE_FLAG_NONE); auto result = parser.parse(ctx); if (!t.assert_equal("not fail", false, result.fail())) { @@ -523,7 +531,7 @@ static void test_example_qwen3_non_coder(testing & t) { "\"fahrenheit\"}}" ""; - common_peg_parse_context ctx(input, false); + common_peg_parse_context ctx(input); auto result = parser.parse(ctx); t.assert_true("success", result.success()); @@ -556,7 +564,7 @@ static void test_example_qwen3_non_coder(testing & t) { for (auto it = tokens.begin(); it != tokens.end(); it++) { std::string in = std::accumulate(tokens.begin(), it + 1, std::string()); - common_peg_parse_context ctx(in, it + 1 < tokens.end()); + common_peg_parse_context ctx(in, (it + 1 < tokens.end()) ? COMMON_PEG_PARSE_FLAG_LENIENT : COMMON_PEG_PARSE_FLAG_NONE); auto result = parser.parse(ctx); if (!t.assert_equal("not fail", false, result.fail())) { @@ -597,9 +605,9 @@ void test_command7_parser_compare(testing & t) { auto response = "<|START_RESPONSE|>" << p.content(p.until("<|END_RESPONSE|>")) << "<|END_RESPONSE|>"; - auto tool_call_id = p.atomic("\"tool_call_id\"" << (":" << ("\"" + p.tool_id(p.json_string_content()) + "\""))); + auto tool_call_id = p.atomic("\"tool_call_id\"" << (":" << ("\"" + p.tool_id(p.string_content('"')) + "\""))); auto tool_call_name = - p.atomic("\"tool_name\"" << (":" << ("\"" + p.tool_name(p.json_string_content()) + "\""))); + p.atomic("\"tool_name\"" << (":" << ("\"" + p.tool_name(p.string_content('"')) + "\""))); auto tool_call_args = "\"parameters\"" << (":" << p.tool_args(p.json())); auto tool_call_fields = p.rule("tool-call-fields", tool_call_id | tool_call_name | tool_call_args); @@ -617,7 +625,7 @@ void test_command7_parser_compare(testing & t) { auto test_current = [&](const common_peg_arena & p, const std::string & input, bool is_partial, bool print_results) { - common_peg_parse_context ctx(input, is_partial); + common_peg_parse_context ctx(input, is_partial ? COMMON_PEG_PARSE_FLAG_LENIENT : COMMON_PEG_PARSE_FLAG_NONE); auto result = p.parse(ctx); common_chat_msg msg; @@ -780,7 +788,7 @@ static void test_prefix_tool_names(testing & t) { "" ""; - common_peg_parse_context ctx(input, false); + common_peg_parse_context ctx(input); auto result = parser.parse(ctx); t.assert_true("success", result.success()); @@ -814,7 +822,7 @@ static void test_prefix_tool_names(testing & t) { for (auto it = tokens.begin(); it != tokens.end(); it++) { std::string in = std::accumulate(tokens.begin(), it + 1, std::string()); - common_peg_parse_context ctx(in, it + 1 < tokens.end()); + common_peg_parse_context ctx(in, (it + 1 < tokens.end()) ? COMMON_PEG_PARSE_FLAG_LENIENT : COMMON_PEG_PARSE_FLAG_NONE); auto result = parser.parse(ctx); if (!t.assert_equal("not fail", false, result.fail())) { @@ -864,7 +872,7 @@ static void test_prefix_tool_names(testing & t) { "" ""; - common_peg_parse_context ctx(input, false); + common_peg_parse_context ctx(input); auto result = parser.parse(ctx); t.assert_true("success", result.success()); @@ -931,7 +939,7 @@ static void test_tagged_peg_parser(testing & t) { return p.tag("prefix", p.until(":")) + ":" + p.tag("value", p.rest()) + p.end(); }); - auto result = parser.parse_and_extract("key:val", true); + auto result = parser.parse_and_extract("key:val", COMMON_PEG_PARSE_FLAG_LENIENT); t.assert_true("not fail", !result.result.fail()); t.assert_equal("prefix tag", "key", result.tags.at("prefix")); t.assert_equal("value tag", "val", result.tags.at("value")); diff --git a/tests/test-chat.cpp b/tests/test-chat.cpp index 0bd95af5d4..575d240791 100644 --- a/tests/test-chat.cpp +++ b/tests/test-chat.cpp @@ -800,258 +800,6 @@ const common_chat_msg message_assist_call_python_lines_unclosed = const common_chat_msg message_assist_json_content = simple_assist_msg("{\n \"response\": \"Hello, world!\\nWhat's up?\"\n}"); -struct delta_data { - std::string delta; - common_chat_params params; -}; - -static delta_data init_delta(const struct common_chat_templates * tmpls, - const std::vector & end_tokens, - const common_chat_msg & user_message, - const common_chat_msg & delta_message, - const std::vector & tools, - const common_chat_tool_choice & tool_choice) { - common_chat_templates_inputs inputs; - inputs.parallel_tool_calls = true; - inputs.messages.push_back(user_message); - inputs.tools = tools; - inputs.tool_choice = tool_choice; - auto params_prefix = common_chat_templates_apply(tmpls, inputs); - - inputs.messages.push_back(delta_message); - inputs.add_generation_prompt = false; - auto params_full = common_chat_templates_apply(tmpls, inputs); - - std::string prefix = params_prefix.prompt; - std::string full = params_full.prompt; - - if (full == prefix) { - throw std::runtime_error("Full message is the same as the prefix"); - } - - size_t common_prefix_length = 0; - for (size_t i = 0; i < prefix.size() && i < full.size(); ++i) { - if (prefix[i] != full[i]) { - break; - } - if (prefix[i] == '<') { - // DeepSeek R1's template (as of 20250209) adds a trailing if add_generation_prompt, - // but it removes thinking tags for past messages. - // The prefix and full strings diverge at vs. <｜tool▁calls▁begin｜>, we avoid consuming the leading <. - continue; - } - common_prefix_length = i + 1; - } - auto delta = full.substr(common_prefix_length); - - // Strip end tokens - for (const auto & end_token : end_tokens) { - // rfind to find the last occurrence - auto pos = delta.rfind(end_token); - if (pos != std::string::npos) { - delta = delta.substr(0, pos); - break; - } - } - return { delta, params_full }; -} - -/* - Applies the template to 1 user message w/ add_generation_prompt=true, then w/ the test message w/ add_generation_prompt=false, - gets the diff, removes any end tokens and parses the result w/ the grammar, checking that - the parsed message is the same as the test_message -*/ -static void test_templates(const struct common_chat_templates * tmpls, - const std::vector & end_tokens, - const common_chat_msg & test_message, - const std::vector & tools = {}, - const std::string & expected_delta = "", - bool expect_grammar_triggered = true, - bool test_grammar_if_triggered = true, - common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_NONE, - bool ignore_whitespace_differences = false) { - common_chat_msg user_message; - user_message.role = "user"; - user_message.content = "Hello, world!"; - - common_chat_templates_inputs inputs_tools; - inputs_tools.messages = { message_user }; - inputs_tools.tools = { special_function_tool }; - - common_chat_params params = common_chat_templates_apply(tmpls, inputs_tools); - - for (const auto & tool_choice : - std::vector{ COMMON_CHAT_TOOL_CHOICE_AUTO, COMMON_CHAT_TOOL_CHOICE_REQUIRED }) { - auto data = init_delta(tmpls, end_tokens, user_message, test_message, tools, tool_choice); - if (!expected_delta.empty()) { - if (ignore_whitespace_differences) { - assert_equals(string_strip(expected_delta), string_strip(data.delta)); - } else { - assert_equals(expected_delta, data.delta); - } - } - - if (expect_grammar_triggered) { - // TODO @ngxson : refactor common_chat_parse to avoid passing format/reasoning_format every time - common_chat_parser_params parser_params; - parser_params.format = data.params.format; - parser_params.reasoning_format = reasoning_format; - if (!parser_params.parser.empty()) { - parser_params.parser = common_peg_arena(); - parser_params.parser.load(params.parser); - } - const auto msg = common_chat_parse(data.delta, /* is_partial= */ false, parser_params); - assert_msg_equals(test_message, msg, ignore_whitespace_differences); - } - - if (!test_message.tool_calls.empty()) { - GGML_ASSERT(!data.params.grammar.empty()); - } - if (!data.params.grammar.empty()) { - auto grammar = build_grammar(data.params.grammar); - if (!grammar) { - throw std::runtime_error("Failed to build grammar"); - } - auto earliest_trigger_pos = std::string::npos; - auto constrained = data.delta; - for (const auto & trigger : data.params.grammar_triggers) { - size_t pos = std::string::npos; - std::smatch match; - switch (trigger.type) { - case COMMON_GRAMMAR_TRIGGER_TYPE_WORD: - { - const auto & word = trigger.value; - pos = constrained.find(word); - break; - } - case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN: - { - const auto & pattern = std::regex(trigger.value); - if (std::regex_search(constrained, match, pattern)) { - pos = match.position(pattern.mark_count()); - } - break; - } - case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL: - { - const auto & pattern = trigger.value; - if (std::regex_match(constrained, match, std::regex(pattern))) { - auto mpos = std::string::npos; - for (size_t i = 1; i < match.size(); ++i) { - if (match[i].length() > 0) { - mpos = match.position(i); - break; - } - } - if (mpos == std::string::npos) { - mpos = match.position(0); - } - pos = mpos; - } - break; - } - default: - throw std::runtime_error("Unknown trigger type"); - } - if (pos == std::string::npos) { - continue; - } - if (earliest_trigger_pos == std::string::npos || pos < earliest_trigger_pos) { - earliest_trigger_pos = pos; - } - } - auto grammar_triggered = false; - if (earliest_trigger_pos != std::string::npos) { - constrained = constrained.substr(earliest_trigger_pos); - grammar_triggered = true; - } - if (data.params.grammar_lazy) { - assert_equals(expect_grammar_triggered, grammar_triggered); - } - - if (grammar_triggered && test_grammar_if_triggered && !match_string(constrained, grammar.get())) { - throw std::runtime_error("Failed to match delta against grammar:\n\n" + data.delta + - "\n\nConstrained: " + constrained + "\n\nGrammar: " + data.params.grammar); - } - } - } -} - -/** - * Test if streaming=true is consistent with streaming=false for given partial parser - * Also test if there is any problem with partial message - */ -template -static void test_parser_with_streaming(const common_chat_msg & expected, const std::string & raw_message, T parse_msg) { - constexpr auto utf8_truncate_safe_len = [](const std::string_view s) -> size_t { - auto len = s.size(); - if (len == 0) { - return 0; - } - auto i = len; - for (size_t back = 0; back < 4 && i > 0; ++back) { - --i; - unsigned char c = s[i]; - if ((c & 0x80) == 0) { - return len; - } - if ((c & 0xC0) == 0xC0) { - size_t expected_len = 0; - if ((c & 0xE0) == 0xC0) { - expected_len = 2; - } else if ((c & 0xF0) == 0xE0) { - expected_len = 3; - } else if ((c & 0xF8) == 0xF0) { - expected_len = 4; - } else { - return i; - } - if (len - i >= expected_len) { - return len; - } - return i; - } - } - return len - std::min(len, size_t(3)); - }; - constexpr auto utf8_truncate_safe_view = [utf8_truncate_safe_len](const std::string_view s) { - return s.substr(0, utf8_truncate_safe_len(s)); - }; - - auto merged = simple_assist_msg(""); - auto last_msg = parse_msg(""); - for (size_t i = 1; i <= raw_message.size(); ++i) { - auto curr_msg = parse_msg(std::string(utf8_truncate_safe_view(std::string_view(raw_message).substr(0, i)))); - if (curr_msg == simple_assist_msg("")) { - continue; - } - LOG_INF("Streaming msg: %s\n", common_chat_msgs_to_json_oaicompat({ curr_msg }).dump().c_str()); - for (auto diff : common_chat_msg_diff::compute_diffs(last_msg, curr_msg)) { - LOG_INF("Streaming diff: %s\n", common_chat_msg_diff_to_json_oaicompat(diff).dump().c_str()); - if (!diff.reasoning_content_delta.empty()) { - merged.reasoning_content += diff.reasoning_content_delta; - } - if (!diff.content_delta.empty()) { - merged.content += diff.content_delta; - } - if (diff.tool_call_index != std::string::npos) { - if (!diff.tool_call_delta.name.empty()) { - merged.tool_calls.push_back({ diff.tool_call_delta.name, "", "" }); - } - if (!diff.tool_call_delta.arguments.empty()) { - GGML_ASSERT(!merged.tool_calls.empty()); - merged.tool_calls.back().arguments += diff.tool_call_delta.arguments; - } - } - LOG_INF("Streaming merged: %s\n", common_chat_msgs_to_json_oaicompat({ merged }).dump().c_str()); - } - assert_msg_equals(curr_msg, merged, true); - last_msg = curr_msg; - } - assert_msg_equals(expected, parse_msg(raw_message), true); - assert_msg_equals(expected, merged, true); -} - // Use for PEG parser implementations struct peg_test_case { common_chat_templates_inputs params; @@ -1074,8 +822,7 @@ struct make_peg_parser { } common_chat_msg parse(const std::string & msg, bool is_partial) const { - common_chat_parser_params parser_params; - parser_params.format = params_.format; + common_chat_parser_params parser_params(params_); parser_params.debug = detailed_debug_; return common_chat_peg_parse(arena_, msg, is_partial, parser_params); } @@ -1248,6 +995,16 @@ static void test_peg_parser(common_chat_templates * tmpls, grammar_triggered = true; } + // For non-lazy grammars, prepend reasoning prefill to grammar input, just like + // PEG parsing does. The grammar includes the full reasoning pattern (e.g. optional + // ...), but the model output may start mid-reasoning if the template + // already placed the opening tag in the prompt. + // For lazy grammars, the grammar only activates from the trigger position, so the + // reasoning prefill is irrelevant — reasoning is handled by the PEG parser. + if (!parser.params_.generation_prompt.empty() && earliest_trigger_pos == std::string::npos) { + constrained = parser.params_.generation_prompt + constrained; + } + // Test the constrained portion against the grammar if (grammar_triggered && !tc.is_partial) { auto result = match_string_detailed(constrained, grammar.get()); @@ -1434,9 +1191,7 @@ static void test_msgs_oaicompat_json_conversion() { " \"type\": \"function\",\n" " \"function\": {\n" " \"name\": \"python\",\n" - " \"arguments\": {\n" - " \"code\": \"print('hey')\"\n" - " }\n" + " \"arguments\": \"{\\\"code\\\":\\\"print('hey')\\\"}\"\n" " }\n" " }\n" " ]\n" @@ -1525,11 +1280,13 @@ static void test_template_output_peg_parsers(bool detailed_debug) { tst.test("[THINK]I'm\nthinking[/THINK]Hello, world!\nWhat's up?") .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .enable_thinking(true) .expect(message_assist_thoughts) .run(); tst.test(R"([TOOL_CALLS]special_function[ARGS]{"arg1":1})") .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .enable_thinking(true) .tools({ special_function_tool }) .expect(message_assist_call) .run(); @@ -1538,6 +1295,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) { "[THINK]I'm\nthinking[/THINK]" R"([TOOL_CALLS]special_function[ARGS]{"arg1":1})") .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .enable_thinking(true) .tools({ special_function_tool }) .expect(message_assist_call_thoughts) .run(); @@ -1571,12 +1329,15 @@ static void test_template_output_peg_parsers(bool detailed_debug) { // NVIDIA Nemotron-3 Nano auto tst = peg_tester("models/templates/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16.jinja", detailed_debug); - tst.test("Hello, world!\nWhat's up?").enable_thinking(false).expect(message_assist).run(); + tst.test("Hello, world!\nWhat's up?"). + enable_thinking(false). + reasoning_format(COMMON_REASONING_FORMAT_AUTO). + expect(message_assist).run(); tst.test("I'm\nthinking\n\nHello, world!\nWhat's up?") - .enable_thinking(false) + .enable_thinking(true) .reasoning_format(COMMON_REASONING_FORMAT_NONE) - .expect_content("I'm\nthinking\n\nHello, world!\nWhat's up?") + .expect_content("\nI'm\nthinking\n\nHello, world!\nWhat's up?") .run(); tst.test("I'm\nthinking\n\nHello, world!\nWhat's up?") @@ -1736,7 +1497,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) { .expect(simple_assist_msg("The answer is 42.", "Let me think about this...")) .run(); - tst.test("Hello, world!").expect(simple_assist_msg("Hello, world!")).run(); + tst.test("Hello, world!").reasoning_format(COMMON_REASONING_FORMAT_AUTO).expect(simple_assist_msg("Hello, world!")).run(); } { // NousResearch-Hermes-2-Pro and Hermes-3 (tool calling models) @@ -2052,6 +1813,8 @@ static void test_template_output_peg_parsers(bool detailed_debug) { "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": " "\"XYZCITY\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>") .tools({ get_time_tool }) + .enable_thinking(false) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) .expect(message_with_tool_calls("get_time", "{\"city\":\"XYZCITY\"}")) .run(); } @@ -2097,7 +1860,8 @@ static void test_template_output_peg_parsers(bool detailed_debug) { { auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug); - tst.test("CONTENT").expect(simple_assist_msg("CONTENT", "")).run(); + tst.test("CONTENT").enable_thinking(false).reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK). + expect(simple_assist_msg("CONTENT", "")).run(); } // GLM-4.6 tests - format: function_name\n...\n...\n @@ -2160,6 +1924,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) { "arg11" "arg22" "") + .enable_thinking(false) .parallel_tool_calls(true) .tools({ special_function_tool, special_function_tool_with_optional_param @@ -2169,6 +1934,79 @@ static void test_template_output_peg_parsers(bool detailed_debug) { { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} }, }) .run(); + + // #20650: tool with no required args, model emits name with no arg tags. + { + static common_chat_tool no_args_tool{ + "read_file_diff_md", "Reads a file diff", + R"({"type":"object","properties":{"review_id":{"type":"string"},"file_id":{"type":"string"}}})", + }; + tst.test( + "Let me read the diff content." + "" + "read_file_diff_md") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .tools({ no_args_tool }) + .expect_reasoning("Let me read the diff content.") + .expect_tool_calls({{ "read_file_diff_md", "{}", {} }}) + .run(); + } + } + + // Verify the throw path produces a readable error message, not std::out_of_range. + // #20424 introduced effective_input = generation_prompt + input, but the throw + // uses input.substr(result.end) where result.end is in effective_input space. + { + auto tmpls = common_chat_templates_ptr( + common_chat_templates_init(nullptr, read_file("models/templates/GLM-4.7-Flash.jinja"))); + + static common_chat_tool weather_tool{ + "get_weather", "Get weather", + R"({"type":"object","properties":{"city":{"type":"string"}},"required":["city"]})", + }; + + common_chat_templates_inputs inputs; + inputs.tools = { weather_tool }; + inputs.enable_thinking = true; + inputs.reasoning_format = COMMON_REASONING_FORMAT_AUTO; + inputs.add_generation_prompt = true; + inputs.use_jinja = true; + common_chat_msg msg; + msg.role = "user"; + msg.content = "get_weather"; + inputs.messages = { msg }; + + auto params = common_chat_templates_apply(tmpls.get(), inputs); + common_peg_arena arena; + arena.load(params.parser); + common_chat_parser_params pp(params); + + // generation_prompt is non-empty for thinking models, so result.end + // will be offset by generation_prompt.size() into effective_input space. + assert(!pp.generation_prompt.empty()); + + std::string bad_input = + "Thinking.\n" + "" + "get_weather" + "cityTokyo" + "\n"; + + bool got_runtime_error = false; + bool got_out_of_range = false; + std::string error_msg; + try { + common_chat_peg_parse(arena, bad_input, /*is_partial=*/false, pp); + } catch (const std::out_of_range & e) { + got_out_of_range = true; + error_msg = e.what(); + } catch (const std::runtime_error & e) { + got_runtime_error = true; + error_msg = e.what(); + } + GGML_ASSERT(!got_out_of_range && "throw path crashed with out_of_range (input.substr in effective_input space)"); + GGML_ASSERT(got_runtime_error && "throw path should produce std::runtime_error with parse position"); } // Kimi-K2-Thinking tests - custom parser @@ -2389,6 +2227,78 @@ static void test_template_output_peg_parsers(bool detailed_debug) { .run(); } + // LFM2-8B-A1B tests - uses <|tool_list_start|>/<|tool_list_end|> and <|tool_call_start|>[name(args)]<|tool_call_end|> + { + auto tst = peg_tester("models/templates/LFM2-8B-A1B.jinja", detailed_debug); + + // Basic content only + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); + + // Single tool call without reasoning + tst.test("<|tool_call_start|>[special_function(arg1=1)]<|tool_call_end|>") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + + // Tool call with string argument + tst.test("<|tool_call_start|>[get_time(city=\"XYZCITY\")]<|tool_call_end|>") + .tools({ get_time_tool }) + .expect(message_with_tool_calls("get_time", "{\"city\":\"XYZCITY\"}")) + .run(); + + // Tool call with reasoning (enable_thinking=true) + tst.test("I'm\nthinking<|tool_call_start|>[special_function(arg1=1)]<|tool_call_end|>") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .tools({ special_function_tool }) + .expect(message_assist_call_thoughts) + .run(); + + // Multiple tool calls (parallel) + tst.test("<|tool_call_start|>[special_function(arg1=1), special_function_with_opt(arg1=1, arg2=2)]<|tool_call_end|>") + .parallel_tool_calls(true) + .tools({ + special_function_tool, special_function_tool_with_optional_param + }) + .expect_tool_calls({ + { "special_function", R"({"arg1": 1})", {} }, + { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} }, + }) + .run(); + + // Tool call with reasoning and content + tst.test("I need to call a function" + "Let me check the time.<|tool_call_start|>[get_time(city=\"Paris\")]<|tool_call_end|>") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .tools({ get_time_tool }) + .expect(message_with_reasoning_content_and_multiple_tool_calls( + "I need to call a function", "Let me check the time.", { { "get_time", "{\"city\":\"Paris\"}" } } + )) + .run(); + + // Python tool with multiline code in string + tst.test("<|tool_call_start|>[python(code=\"def hello():\\n print('hey')\")]<|tool_call_end|>") + .tools({ python_tool }) + .expect_tool_calls({ + { "python", R"#({"code": "def hello():\\n print('hey')"})#", "" } + }) + .run(); + + // Partial tool call (streaming) + tst.test("<|tool_call_start|>[special_function(arg1=") + .tools({ special_function_tool }) + .is_partial(true) + .expect(simple_assist_msg("", "", "special_function", "{\"arg1\": ")) + .run(); + + // Tool call with empty arguments + tst.test("<|tool_call_start|>[empty_args()]<|tool_call_end|>") + .tools({ empty_args_tool }) + .expect(simple_assist_msg("", "", "empty_args", "{}")) + .run(); + } + // Apertus-8B-Instruct tests - FUNC_NAME_AS_KEY format // Format: <|tools_prefix|>[{"function_name": {...arguments...}}]<|tools_suffix|> { @@ -2404,10 +2314,11 @@ static void test_template_output_peg_parsers(bool detailed_debug) { { auto tst = peg_tester("models/templates/MiniMax-M2.jinja", detailed_debug); tst.test( - "\n\n\n\n1\n\n") .tools({ special_function_tool }) .expect(message_assist_call) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) .run(); } @@ -2470,8 +2381,8 @@ static void test_template_output_peg_parsers(bool detailed_debug) { // Functionary v3.2 - recipient-based format: >>>recipient\n{content} { auto tst = peg_tester("models/templates/meetkai-functionary-medium-v3.2.jinja", detailed_debug); - tst.test(">>>all\nHello, world!\nWhat's up?").expect(message_assist).run(); - tst.test(">>>special_function\n{\"arg1\": 1}") + tst.test("all\nHello, world!\nWhat's up?").expect(message_assist).run(); + tst.test("special_function\n{\"arg1\": 1}") .tools({ special_function_tool }) .expect(message_assist_call) .run(); @@ -2491,8 +2402,8 @@ static void test_template_output_peg_parsers(bool detailed_debug) { // Note: Template uses forced-open mode (prompt ends with ), so input shouldn't include opening tag { auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja", detailed_debug); - tst.test("Hello, world!\nWhat's up?") - .enable_thinking(true) // Forced open + tst.test("Hello, world!\nWhat's up?") + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) .expect(message_assist) .run(); tst.test("I'm\nthinkingHello, world!\nWhat's up?") @@ -2504,14 +2415,15 @@ static void test_template_output_peg_parsers(bool detailed_debug) { // llama-cpp DeepSeek R1 template (always forced-open thinking) { auto tst = peg_tester("models/templates/llama-cpp-deepseek-r1.jinja", detailed_debug); - tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); + tst.test("Hello, world!\nWhat's up?").expect(message_assist).reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK).run(); tst.test("I'm\nthinkingHello, world!\nWhat's up?") .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) .expect(message_assist_thoughts) .run(); tst.test( - "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n" + "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n" "```json\n{\"arg1\": 1}```<｜tool▁call▁end｜><｜tool▁calls▁end｜>") + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) .tools({ special_function_tool }) .parallel_tool_calls(true) .expect(message_assist_call) @@ -2521,7 +2433,9 @@ static void test_template_output_peg_parsers(bool detailed_debug) { // Note: Template uses forced-open mode (prompt ends with ), so input shouldn't include opening tag { auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja", detailed_debug); - tst.test("Hello, world!\nWhat's up?").enable_thinking(true).expect(message_assist).run(); + tst.test("Hello, world!\nWhat's up?").enable_thinking(true). + reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK). + expect(message_assist).run(); tst.test("I'm\nthinkingHello, world!\nWhat's up?") .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) .expect(message_assist_thoughts) @@ -2530,6 +2444,8 @@ static void test_template_output_peg_parsers(bool detailed_debug) { "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n" "```json\n{\"arg1\": 1}```<｜tool▁call▁end｜><｜tool▁calls▁end｜>") .tools({ special_function_tool }) + .enable_thinking(false) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) .expect(message_assist_call) .run(); } @@ -2559,12 +2475,12 @@ static void test_template_output_peg_parsers(bool detailed_debug) { // Apriel 1.6 Thinker (reasoning-only support) { auto tst = peg_tester("models/templates/Apriel-1.6-15b-Thinker-fixed.jinja", detailed_debug); - tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); // Implicit reasoning start (forced open) tst.test("I'm\nthinking\n[BEGIN FINAL RESPONSE]\nHello, world!\nWhat's up?") .reasoning_format(COMMON_REASONING_FORMAT_AUTO) - .expect(message_assist_thoughts) + .enable_thinking(true) + .expect(simple_assist_msg("Hello, world!\nWhat's up?", "Here are my reasoning steps:\nI'm\nthinking")) .run(); // Reasoning + Tool calls @@ -2572,8 +2488,9 @@ static void test_template_output_peg_parsers(bool detailed_debug) { "I'm\nthinking\n[BEGIN FINAL RESPONSE]\n[{\"name\": \"special_function\", \"arguments\": " "{\"arg1\": 1}}]") .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .enable_thinking(true) .tools({ special_function_tool }) - .expect(message_assist_call_thoughts) + .expect(simple_assist_msg("", "Here are my reasoning steps:\nI'm\nthinking", "special_function", "{\"arg1\":1}")) .run(); } @@ -2630,7 +2547,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) { // Analysis channel (reasoning) with final channel (content) tst.test( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>\n<|channel|>final<|message|>Hello, world!\nWhat's " + "<|channel|>analysis<|message|>I'm\nthinking<|end|><|start|>assistant<|channel|>final<|message|>Hello, world!\nWhat's " "up?") .reasoning_format(COMMON_REASONING_FORMAT_AUTO) .expect(message_assist_thoughts) @@ -2643,15 +2560,6 @@ static void test_template_output_peg_parsers(bool detailed_debug) { .expect_reasoning("I'm\nthinking") .run(); - // Reasoning format none - reasoning stays in content - tst.test( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>\n<|channel|>final<|message|>Hello, world!\nWhat's " - "up?") - .reasoning_format(COMMON_REASONING_FORMAT_NONE) - .expect_content( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>Hello, world!\nWhat's up?") - .run(); - // Tool call with recipient in role header: " to=functions.NAME<|channel|>analysis<|message|>JSON" tst.test(" to=functions.special_function<|channel|>analysis<|message|>{\"arg1\": 1}") .tools({ special_function_tool }) @@ -2678,37 +2586,16 @@ static void test_template_output_peg_parsers(bool detailed_debug) { // Tool call with reasoning + content (analysis first, then tool call) tst.test( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>\n" + "<|channel|>analysis<|message|>I'm\nthinking<|end|>" "<|start|>assistant to=functions.special_function<|channel|>analysis<|message|>{\"arg1\": 1}") .reasoning_format(COMMON_REASONING_FORMAT_AUTO) .tools({ special_function_tool }) .expect(message_assist_call_thoughts) .run(); - // Tool calling with extra channel before + // Complex tool calling tst.test( - "<|channel|>analysis<|message|>I'm\nthinking<|end|><|start|>assistant<|channel|>commentary" - " to=functions.special_function <|message|>{\"arg1\": 1}") - .reasoning_format(COMMON_REASONING_FORMAT_AUTO) - .tools({ special_function_tool }) - .expect(message_assist_call_thoughts) - .run(); - - // Reasoning after final channel - // Tool calling after final channel - tst.test( - "<|channel|>final<|message|><|end|>" - "<|start|>assistant<|channel|>analysis<|message|>Thinking about edit..." - ) - .reasoning_format(COMMON_REASONING_FORMAT_AUTO) - .expect_reasoning("Thinking about edit...") - .expect_content("") - .run(); - - // Tool calling after final channel - tst.test( - "<|channel|>final<|message|><|end|>" - "<|start|>assistant<|channel|>analysis<|message|>Thinking about edit...<|end|>" + "<|channel|>analysis<|message|>Thinking about edit...<|end|>" "<|start|>assistant<|channel|>commentary to=functions.edit <|constrain|>json" "<|message|>{\"oldString\": \"if (part < railCount - 1) {\", \"newString\": \"if (part < 4) {\", \"replaceAll\": false}" ) @@ -2743,19 +2630,17 @@ static void test_template_output_peg_parsers(bool detailed_debug) { }) .run(); - // Parallel tool calls + // Structured output tst.test( - " to=functions.special_function<|channel|>analysis<|message|>{\"arg1\": 1}\n" - "<|start|>assistant to=functions.special_function_with_opt<|channel|>analysis<|message|>{\"arg1\": 1, " - "\"arg2\": 2}") - .parallel_tool_calls(true) - .tools({ - special_function_tool, special_function_tool_with_optional_param - }) - .expect_tool_calls({ - { "special_function", R"({"arg1": 1})", {} }, - { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} }, - }) + "<|channel|>analysis<|message|>I need to output the invoice details in JSON<|end|>" + "<|start|>assistant<|channel|>final <|constrain|>json" + "<|message|>" + R"({"amount": 123.45, "date": "2025-12-03"})" + ) + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .json_schema(invoice_schema) + .expect_reasoning("I need to output the invoice details in JSON") + .expect_content(R"({"amount": 123.45, "date": "2025-12-03"})") .run(); } @@ -2947,6 +2832,80 @@ static void test_template_output_peg_parsers(bool detailed_debug) { .run(); } + + // GigaChat V3 + { + auto tst = peg_tester("models/templates/GigaChat3-10B-A1.8B.jinja", detailed_debug); + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); + tst.test("<|message_sep|>\n\nfunction call<|role_sep|>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + + tst.test( + "Hello, world!\nWhat's up?" + "<|message_sep|>\n\nfunction call<|role_sep|>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}" + ) + .tools({ special_function_tool }) + .expect(message_assist_call_content) + .run(); + } + + // GigaChat V3.1 + { + auto tst = peg_tester("models/templates/GigaChat3.1-10B-A1.8B.jinja", detailed_debug); + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); + tst.test("<|function_call|>{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + + tst.test( + "Hello, world!\nWhat's up?" + "<|function_call|>{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}" + ) + .tools({ special_function_tool }) + .expect(message_assist_call_content) + .run(); + } +} + +// Test the developer role to system workaround with a simple mock template +static void test_developer_role_to_system_workaround() { + LOG_DBG("%s\n", __func__); + + // Simple mock template that supports system role + const std::string mock_template = + "{%- for message in messages -%}\n" + " {{- '<|' + message.role + '|>' + message.content + '<|end|>' -}}\n" + "{%- endfor -%}\n" + "{%- if add_generation_prompt -%}\n" + " {{- '<|assistant|>' -}}\n" + "{%- endif -%}"; + + auto tmpls = common_chat_templates_ptr(common_chat_templates_init(/* model= */ nullptr, mock_template)); + + // Test case 1: Developer message - should be changed to system + // After simplification we only test this case + { + common_chat_templates_inputs inputs; + common_chat_msg developer_msg; + developer_msg.role = "developer"; + developer_msg.content = "You are a helpful developer assistant."; + inputs.messages = { developer_msg }; + inputs.add_generation_prompt = false; + + auto params = common_chat_templates_apply(tmpls.get(), inputs); + + // The developer role should have been changed to system + if (params.prompt.find("<|developer|>") != std::string::npos) { + throw std::runtime_error("Test failed: developer role was not changed to system"); + } + if (params.prompt.find("<|system|>You are a helpful developer assistant.<|end|>") == std::string::npos) { + throw std::runtime_error("Test failed: system message not found in output"); + } + LOG_ERR("Test 1 passed: developer role changed to system\n"); + } } static void test_msg_diffs_compute() { @@ -3085,6 +3044,7 @@ int main(int argc, char ** argv) { test_msg_diffs_compute(); test_msgs_oaicompat_json_conversion(); test_tools_oaicompat_json_conversion(); + test_developer_role_to_system_workaround(); test_template_output_peg_parsers(detailed_debug); std::cout << "\n[chat] All tests passed!" << '\n'; } diff --git a/tests/test-grammar-integration.cpp b/tests/test-grammar-integration.cpp index 7aa7e58a5c..4d5d13dd0d 100644 --- a/tests/test-grammar-integration.cpp +++ b/tests/test-grammar-integration.cpp @@ -15,8 +15,12 @@ using json = nlohmann::ordered_json; +static llama_grammar * build_grammar_with_root(const std::string & grammar_str, const char * grammar_root) { + return llama_grammar_init_impl(nullptr, grammar_str.c_str(), grammar_root, false, nullptr, 0, nullptr, 0); +} + static llama_grammar * build_grammar(const std::string & grammar_str) { - return llama_grammar_init_impl(nullptr, grammar_str.c_str(), "root", false, nullptr, 0, nullptr, 0); + return build_grammar_with_root(grammar_str, "root"); } static bool test_build_grammar_fails(const std::string & grammar_str) { @@ -784,6 +788,24 @@ static void test_quantifiers() { "0xFF 0x12 0xAB 0x00 0x00 0x00", } ); + test_grammar( + "segfault", + // Grammar + R"""( + root ::= ( [x]* )* + )""", + // Passing strings + { + "", + "x", + "xx" + }, + // Failing strings + { + "y", + "yy" + } + ); } static void test_failure_missing_root() { @@ -860,6 +882,36 @@ static void test_failure_left_recursion() { fprintf(stderr, " ✅︎ Passed\n"); } +static void test_failure_missing_root_symbol() { + fprintf(stderr, "⚫ Testing missing root symbol:\n"); + + const std::string grammar_str = R"""( + root ::= "foobar" + )"""; + + llama_grammar * failure_result = build_grammar_with_root(grammar_str, "nonexistent"); + assert(failure_result == nullptr); + + fprintf(stderr, " ✅︎ Passed\n"); +} + +static void test_custom_root_symbol_check() { + fprintf(stderr, "⚫ Testing custom root symbol check:\n"); + + const std::string custom_root_grammar_str = R"""( + foobar ::= "foobar" + )"""; + + llama_grammar * failure_result = build_grammar_with_root(custom_root_grammar_str, "root"); + assert(failure_result == nullptr); + + llama_grammar * success_result = build_grammar_with_root(custom_root_grammar_str, "foobar"); + assert(success_result != nullptr); + llama_grammar_free_impl(success_result); + + fprintf(stderr, " ✅︎ Passed\n"); +} + static void test_json_schema() { // Note that this is similar to the regular grammar tests, // but we convert each json schema to a grammar before parsing. @@ -1433,6 +1485,8 @@ int main() { test_failure_missing_root(); test_failure_missing_reference(); test_failure_left_recursion(); + test_failure_missing_root_symbol(); + test_custom_root_symbol_check(); test_json_schema(); fprintf(stdout, "All tests passed.\n"); return 0; diff --git a/tests/test-grammar-parser.cpp b/tests/test-grammar-parser.cpp index 03ae78ff73..6abc43461b 100644 --- a/tests/test-grammar-parser.cpp +++ b/tests/test-grammar-parser.cpp @@ -145,6 +145,10 @@ int main() root ::= "a"{,}" )"""); + verify_failure(R"""( + root ::= (((((([^x]*){0,99}){0,99}){0,99}){0,99}){0,99}){0,99} + )"""); + verify_failure(R"""( root ::= "a"{,10}" )"""); diff --git a/tests/test-jinja.cpp b/tests/test-jinja.cpp index 05ea8ca9e9..ef9c8f73c8 100644 --- a/tests/test-jinja.cpp +++ b/tests/test-jinja.cpp @@ -1897,8 +1897,9 @@ import sys from datetime import datetime from jinja2.sandbox import SandboxedEnvironment -tmpl = json.loads(sys.argv[1]) -vars_json = json.loads(sys.argv[2]) +merged_input = json.loads(sys.stdin.buffer.read().decode("utf-8")) +tmpl = merged_input["tmpl"] +vars_json = merged_input["vars"] env = SandboxedEnvironment( trim_blocks=True, @@ -1915,14 +1916,15 @@ env.globals["raise_exception"] = raise_exception template = env.from_string(tmpl) result = template.render(**vars_json) -print(result, end='') +sys.stdout.buffer.write(result.encode()) )"; static void test_template_py(testing & t, const std::string & name, const std::string & tmpl, const json & vars, const std::string & expect) { t.test(name, [&tmpl, &vars, &expect](testing & t) { // Prepare arguments - std::string tmpl_json = json(tmpl).dump(); - std::string vars_json = vars.dump(); + json merged; + merged["tmpl"] = json(tmpl); + merged["vars"] = vars; #ifdef _WIN32 const char * python_executable = "python.exe"; @@ -1930,7 +1932,7 @@ static void test_template_py(testing & t, const std::string & name, const std::s const char * python_executable = "python3"; #endif - const char * command_line[] = {python_executable, "-c", py_script.c_str(), tmpl_json.c_str(), vars_json.c_str(), NULL}; + const char * command_line[] = {python_executable, "-c", py_script.c_str(), NULL}; struct subprocess_s subprocess; int options = subprocess_option_combined_stdout_stderr @@ -1944,6 +1946,20 @@ static void test_template_py(testing & t, const std::string & name, const std::s t.assert_true("subprocess creation", false); return; } + FILE * p_stdin = subprocess_stdin(&subprocess); + + // Write input + std::string input = merged.dump(); + auto written = fwrite(input.c_str(), 1, input.size(), p_stdin); + if (written != input.size()) { + t.log("Failed to write complete input to subprocess stdin"); + t.assert_true("subprocess stdin write", false); + subprocess_destroy(&subprocess); + return; + } + fflush(p_stdin); + fclose(p_stdin); // Close stdin to signal EOF to the Python process + subprocess.stdin_file = nullptr; // Read output std::string output; diff --git a/tests/test-json-schema-to-grammar.cpp b/tests/test-json-schema-to-grammar.cpp index eb33804c9a..ac697c4d24 100755 --- a/tests/test-json-schema-to-grammar.cpp +++ b/tests/test-json-schema-to-grammar.cpp @@ -569,6 +569,55 @@ static void test_all(const std::string & lang, std::function +#include +#include +#include +#include +#include +#include +#include +#include + +// normalized mean squared error = mse(a, b) / mse(a, 0) +static double nmse(const std::vector & a, const std::vector & b) { + GGML_ASSERT(a.size() == b.size()); + double mse_a_b = 0.0; + double mse_a_0 = 0.0; + + for (size_t i = 0; i < a.size(); i++) { + float a_i = a[i]; + float b_i = b[i]; + + mse_a_b += (a_i - b_i) * (a_i - b_i); + mse_a_0 += a_i * a_i; + } + + return mse_a_b / mse_a_0; +} + +static void set_tensor_data(struct ggml_tensor * tensor, void * userdata) { + std::hash hasher; + std::mt19937 gen(hasher(tensor->name) + *(const size_t *) userdata); + std::normal_distribution dis(0.0f, 1.0e-2f); + + const int64_t ne = ggml_nelements(tensor); + if (tensor->type == GGML_TYPE_F32) { + std::vector tmp(ne); + for (int64_t i = 0; i < ne; i++) { + tmp[i] = dis(gen); + } + ggml_backend_tensor_set(tensor, tmp.data(), 0, ggml_nbytes(tensor)); + } else if (tensor->type == GGML_TYPE_F16) { + std::vector tmp(ne); + for (int64_t i = 0; i < ne; i++) { + tmp[i] = ggml_fp32_to_fp16(dis(gen)); + } + ggml_backend_tensor_set(tensor, tmp.data(), 0, ggml_nbytes(tensor)); + } else { + GGML_ABORT("fatal error"); + } +} + +static void usage(char ** argv) { + printf("Usage: %s [-a/--arch arch] [-s/--seed seed] [-v/--verbose]\n", argv[0]); +} + +static std::vector get_tokens(const uint32_t n_tokens, const uint32_t n_vocab, const size_t seed){ + std::mt19937 gen(seed); + std::uniform_int_distribution<> dis(0, n_vocab - 1); + std::vector ret; + ret.reserve(n_tokens); + for (uint32_t i = 0; i < n_tokens; i++) { + ret.push_back(dis(gen)); + } + return ret; +} + +static gguf_context_ptr get_gguf_ctx(const llm_arch arch, const bool moe) { + gguf_context_ptr ret(gguf_init_empty()); + llama_model_saver ms(arch, ret.get()); + const uint32_t n_ctx = 128; + + uint32_t n_vocab = 128; + uint32_t n_embd = 256; + uint32_t n_head = 2; + uint32_t n_ff = 384; + uint32_t n_layer = 2; + if (arch == LLM_ARCH_LLAMA4) { + n_layer = 4; // hparams.n_no_rope_layer_step is hard-coded to 4 + } else if (arch == LLM_ARCH_GEMMA3N) { + n_embd = 64; + n_head = 1; + n_ff = 96; + } else if (arch == LLM_ARCH_DEEPSEEK2 + || arch == LLM_ARCH_GLM_DSA + || arch == LLM_ARCH_KIMI_LINEAR + || arch == LLM_ARCH_MISTRAL4) { + n_embd = 128; + n_head = 1; + n_ff = 192; + } else if (arch == LLM_ARCH_NEMOTRON_H || arch == LLM_ARCH_NEMOTRON_H_MOE) { + n_layer = 3; + } else if (arch == LLM_ARCH_CHAMELEON) { + n_vocab = 10240; + } else if (arch == LLM_ARCH_GEMMA3N) { + n_layer = 22; // hparams.n_layer_kv_from_start = 20 is hardcoded + } + + const uint32_t n_embd_head = n_embd / n_head; + + ms.add_kv(LLM_KV_GENERAL_ARCHITECTURE, llm_arch_name(arch)); + ms.add_kv(LLM_KV_VOCAB_SIZE, n_vocab); + ms.add_kv(LLM_KV_CONTEXT_LENGTH, n_ctx); + ms.add_kv(LLM_KV_EMBEDDING_LENGTH, n_embd); + ms.add_kv(LLM_KV_FEATURES_LENGTH, n_embd); + ms.add_kv(LLM_KV_BLOCK_COUNT, n_layer); + ms.add_kv(LLM_KV_LEADING_DENSE_BLOCK_COUNT, uint32_t(1)); + + if (arch == LLM_ARCH_NEMOTRON_H || arch == LLM_ARCH_NEMOTRON_H_MOE) { + std::vector n_ff_per_layer; + n_ff_per_layer.reserve(n_layer); + for (uint32_t il = 0; il < n_layer; il++) { + n_ff_per_layer.push_back(il <= 1 ? 0 : n_ff); + } + ms.add_kv(LLM_KV_FEED_FORWARD_LENGTH, n_ff_per_layer); + } else { + ms.add_kv(LLM_KV_FEED_FORWARD_LENGTH, n_ff); + } + + ms.add_kv(LLM_KV_USE_PARALLEL_RESIDUAL, false); + ms.add_kv(LLM_KV_LOGIT_SCALE, 1.0f); + ms.add_kv(LLM_KV_TIME_MIX_EXTRA_DIM, uint32_t(64)); + ms.add_kv(LLM_KV_TIME_DECAY_EXTRA_DIM, uint32_t(128)); + ms.add_kv(LLM_KV_FULL_ATTENTION_INTERVAL, uint32_t(2)); + + if (arch == LLM_ARCH_PLAMO2 || arch == LLM_ARCH_JAMBA || arch == LLM_ARCH_NEMOTRON_H || arch == LLM_ARCH_NEMOTRON_H_MOE || + arch == LLM_ARCH_GRANITE_HYBRID || arch == LLM_ARCH_LFM2 || arch == LLM_ARCH_LFM2MOE || arch == LLM_ARCH_KIMI_LINEAR) { + GGML_ASSERT(n_layer >= 2); + std::vector n_head_per_layer; + n_head_per_layer.reserve(n_layer); + for (uint32_t il = 0; il < n_layer; il++) { + n_head_per_layer.push_back(il == 1 ? 0 : n_head); + } + ms.add_kv(LLM_KV_ATTENTION_HEAD_COUNT, n_head_per_layer); + ms.add_kv(LLM_KV_ATTENTION_HEAD_COUNT_KV, n_head_per_layer); + } else { + ms.add_kv(LLM_KV_ATTENTION_HEAD_COUNT, n_head); + ms.add_kv(LLM_KV_ATTENTION_HEAD_COUNT_KV, n_head); + } + + ms.add_kv(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, 8.0f); + if (arch == LLM_ARCH_DEEPSEEK2 + || arch == LLM_ARCH_GLM_DSA + || arch == LLM_ARCH_KIMI_LINEAR + || arch == LLM_ARCH_MISTRAL4) { + ms.add_kv(LLM_KV_ATTENTION_KEY_LENGTH, uint32_t(576)); + ms.add_kv(LLM_KV_ATTENTION_VALUE_LENGTH, uint32_t(512)); + ms.add_kv(LLM_KV_ROPE_DIMENSION_COUNT, uint32_t(64)); + ms.add_kv(LLM_KV_ATTENTION_KEY_LENGTH_MLA, uint32_t(192)); + ms.add_kv(LLM_KV_ATTENTION_VALUE_LENGTH_MLA, uint32_t(128)); + } + ms.add_kv(LLM_KV_ATTENTION_CLAMP_KQV, 1.0f); + ms.add_kv(LLM_KV_ATTENTION_LAYERNORM_EPS, 1e-5f); + ms.add_kv(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, 1e-5f); + ms.add_kv(LLM_KV_ATTENTION_GROUPNORM_EPS, 1e-5f); + ms.add_kv(LLM_KV_ATTENTION_GROUPNORM_GROUPS, uint32_t(8)); + ms.add_kv(LLM_KV_ATTENTION_Q_LORA_RANK, uint32_t(512)); + ms.add_kv(LLM_KV_ATTENTION_KV_LORA_RANK, uint32_t(512)); + ms.add_kv(LLM_KV_ATTENTION_RELATIVE_BUCKETS_COUNT, uint32_t(8)); + ms.add_kv(LLM_KV_ATTENTION_SLIDING_WINDOW, n_ctx/8); + + if (arch == LLM_ARCH_MIMO2 || arch == LLM_ARCH_STEP35) { + std::vector pattern; + pattern.reserve(n_layer); + for (uint32_t il = 0; il < n_layer; il++) { + pattern.push_back(il % 2); + } + ms.add_kv(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, pattern); + } else { + ms.add_kv(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, uint32_t(2)); + } + + ms.add_kv(LLM_KV_ATTENTION_INDEXER_HEAD_COUNT, uint32_t(1)); + ms.add_kv(LLM_KV_ATTENTION_INDEXER_KEY_LENGTH, uint32_t(64)); + ms.add_kv(LLM_KV_ATTENTION_INDEXER_TOP_K, uint32_t(8)); + ms.add_kv(LLM_KV_ROPE_DIMENSION_SECTIONS, std::vector({n_embd_head/4, n_embd_head/4, n_embd_head/4, n_embd_head/4})); + ms.add_kv(LLM_KV_TOKENIZER_MODEL, "no_vocab"); + // ms.add_kv(LLM_KV_DENSE_2_FEAT_OUT, n_embd); + // ms.add_kv(LLM_KV_DENSE_3_FEAT_IN, n_embd); + + if (moe) { + ms.add_kv(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, n_ff); + ms.add_kv(LLM_KV_INTERLEAVE_MOE_LAYER_STEP, uint32_t(2)); + ms.add_kv(LLM_KV_EXPERT_COUNT, uint32_t(2)); + ms.add_kv(LLM_KV_EXPERT_USED_COUNT, uint32_t(1)); + ms.add_kv(LLM_KV_EXPERT_SHARED_COUNT, uint32_t(1)); + ms.add_kv(LLM_KV_EXPERT_GATING_FUNC, uint32_t(2)); // sigmoid + ms.add_kv(LLM_KV_EXPERT_GROUP_SCALE, 1.0f); + ms.add_kv(LLM_KV_EXPERTS_PER_GROUP, uint32_t(1)); + } + + ms.add_kv(LLM_KV_POSNET_EMBEDDING_LENGTH, n_embd); + ms.add_kv(LLM_KV_POSNET_BLOCK_COUNT, n_layer); + ms.add_kv(LLM_KV_CONVNEXT_EMBEDDING_LENGTH, n_embd); + ms.add_kv(LLM_KV_CONVNEXT_BLOCK_COUNT, n_layer); + ms.add_kv(LLM_KV_XIELU_ALPHA_N, 1.0f); + ms.add_kv(LLM_KV_XIELU_ALPHA_P, 1.0f); + ms.add_kv(LLM_KV_XIELU_BETA, 1.0f); + ms.add_kv(LLM_KV_XIELU_EPS, 1.0e-7f); + ms.add_kv(LLM_KV_SSM_INNER_SIZE, arch == LLM_ARCH_QWEN3NEXT || arch == LLM_ARCH_QWEN35 || arch == LLM_ARCH_QWEN35MOE ? 64 : 2*n_embd); + ms.add_kv(LLM_KV_SSM_CONV_KERNEL, uint32_t(4)); + ms.add_kv(LLM_KV_SSM_STATE_SIZE, uint32_t(32)); + ms.add_kv(LLM_KV_SSM_TIME_STEP_RANK, n_head); + ms.add_kv(LLM_KV_SSM_GROUP_COUNT, arch == LLM_ARCH_PLAMO2 ? 0 : uint32_t(2)); + ms.add_kv(LLM_KV_KDA_HEAD_DIM, uint32_t(128)); + ms.add_kv(LLM_KV_WKV_HEAD_SIZE, n_embd/n_head); + ms.add_kv(LLM_KV_SHORTCONV_L_CACHE, uint32_t(3)); + + for (uint32_t il = 0; il < n_layer; il++) { + ggml_tensor t; + memset(&t, 0, sizeof(ggml_tensor)); + t.type = GGML_TYPE_F16; + ggml_format_name(&t, "conv%" PRIu32 "d.weight", il); + gguf_add_tensor(ms.gguf_ctx, &t); + ggml_format_name(&t, "posnet.%" PRIu32 ".conv1.weight", il); + gguf_add_tensor(ms.gguf_ctx, &t); + ggml_format_name(&t, "posnet.%" PRIu32 ".conv2.weight", il); + gguf_add_tensor(ms.gguf_ctx, &t); + ggml_format_name(&t, "convnext.%" PRIu32 ".dw.weight", il); + gguf_add_tensor(ms.gguf_ctx, &t); + } + return ret; +} + +static std::pair get_model_and_ctx( + struct gguf_context * gguf_ctx, const size_t seed, const std::vector & devs) { + llama_model_params model_params = llama_model_default_params(); + std::vector devs_copy = devs; + devs_copy.push_back(nullptr); + model_params.devices = devs_copy.data(); + + llama_context_params ctx_params = llama_context_default_params(); + ctx_params.n_ctx = 0; + ctx_params.n_threads = 4; + ctx_params.n_threads_batch = 4; + + size_t tmp = seed; + llama_model_ptr model(llama_model_init_from_user(gguf_ctx, set_tensor_data, &tmp, model_params)); + if (!model) { + throw std::runtime_error("failed to create llama model"); + } + llama_context_ptr lctx(llama_init_from_model(model.get(), ctx_params)); + if (!lctx) { + throw std::runtime_error("failed to create llama context"); + } + return std::make_pair(std::move(model), std::move(lctx)); +} + +static std::vector get_logits( + llama_model * model, llama_context * lctx, const std::vector & tokens, bool encode = false) { + const uint32_t n_vocab = llama_vocab_n_tokens(llama_model_get_vocab(model)); + const uint32_t n_ctx = llama_n_ctx(lctx); + const uint32_t n_tokens = tokens.size(); + llama_batch batch = llama_batch_init(n_ctx, 0, 1); + GGML_ASSERT(n_tokens <= n_ctx); + for (uint32_t pos = 0; pos < n_tokens; pos++) { + common_batch_add(batch, tokens[pos], pos, {0}, true); + } + batch.n_tokens = n_tokens; + if (encode) { + if (llama_encode(lctx, batch)) { + llama_batch_free(batch); + throw std::runtime_error("failed to encode batch"); + } + } + if (llama_decode(lctx, batch)) { + llama_batch_free(batch); + throw std::runtime_error("failed to decode batch"); + } + + std::vector ret; + ret.reserve(n_tokens*n_vocab); + for (uint32_t i = 0; i < n_tokens; i++) { + const float * logits_ith = llama_get_logits_ith(lctx, i); + for (uint32_t j = 0; j < n_vocab; j++) { + ret.push_back(logits_ith[j]); + } + } + llama_batch_free(batch); + return ret; +} + +static bool moe_mandatory(const llm_arch arch) { + switch (arch) { + case LLM_ARCH_LLAMA4: + case LLM_ARCH_GROK: + case LLM_ARCH_QWEN2MOE: + case LLM_ARCH_QWEN3MOE: + case LLM_ARCH_QWEN3NEXT: + case LLM_ARCH_QWEN3VLMOE: + case LLM_ARCH_QWEN35MOE: + case LLM_ARCH_PHIMOE: + case LLM_ARCH_DBRX: + case LLM_ARCH_OLMOE: + case LLM_ARCH_ARCTIC: + case LLM_ARCH_DEEPSEEK: + case LLM_ARCH_DEEPSEEK2: + case LLM_ARCH_GLM4_MOE: + case LLM_ARCH_GLM_DSA: + case LLM_ARCH_EXAONE_MOE: + case LLM_ARCH_BAILINGMOE: + case LLM_ARCH_BAILINGMOE2: + case LLM_ARCH_DOTS1: + case LLM_ARCH_AFMOE: + case LLM_ARCH_ERNIE4_5: + case LLM_ARCH_ERNIE4_5_MOE: + case LLM_ARCH_HUNYUAN_MOE: + case LLM_ARCH_OPENAI_MOE: + case LLM_ARCH_LFM2MOE: + case LLM_ARCH_SMALLTHINKER: + case LLM_ARCH_LLADA_MOE: + case LLM_ARCH_GROVEMOE: + case LLM_ARCH_MINIMAX_M2: + case LLM_ARCH_RND1: + case LLM_ARCH_PADDLEOCR: + case LLM_ARCH_MIMO2: + case LLM_ARCH_KIMI_LINEAR: + case LLM_ARCH_STEP35: + case LLM_ARCH_MISTRAL4: + return true; + default: + return false; + } +} + +static bool moe_implemented(const llm_arch arch) { + if (moe_mandatory(arch)) { + return true; + } + switch (arch) { + case LLM_ARCH_LLAMA: + case LLM_ARCH_REFACT: + case LLM_ARCH_MINICPM: + case LLM_ARCH_GRANITE: + case LLM_ARCH_GRANITE_MOE: + case LLM_ARCH_MISTRAL3: + case LLM_ARCH_LLAMA_EMBED: + return true; + default: + return false; + } +} + +static int save_models(const llm_arch target_arch, const size_t seed, const ggml_log_level log_level, const std::string & dir) { + GGML_ABORT("llama_model_save_to_file is broken"); + struct user_data_t { + struct { + ggml_log_callback callback; + void * user_data; + } original_logger; + ggml_log_level min_level; // prints below this log level go to debug log + }; + user_data_t ud; + llama_log_get(&ud.original_logger.callback, &ud.original_logger.user_data); + ud.min_level = log_level; + + llama_log_set([](ggml_log_level level, const char * text, void * user_data) { + const user_data_t * ud = (const user_data_t *) user_data; + const ggml_log_level level_eff = level >= ud->min_level ? level : GGML_LOG_LEVEL_DEBUG; + ud->original_logger.callback(level_eff, text, ud->original_logger.user_data); + }, &ud); + + for (const llm_arch & arch : llm_arch_all()) { + if (target_arch != LLM_ARCH_UNKNOWN && arch != target_arch) { + continue; + } + if (arch == LLM_ARCH_CLIP || arch == LLM_ARCH_GPTJ || arch == LLM_ARCH_UNKNOWN) { + continue; // These models don't have usable implementations. + } + for (bool moe : {false, true}) { + if (moe && !moe_implemented(arch)) { + continue; + } + if (!moe && moe_mandatory(arch)) { + continue; + } + gguf_context_ptr gguf_ctx = get_gguf_ctx(arch, moe); + auto model_and_ctx = get_model_and_ctx(gguf_ctx.get(), seed, {}); + const std::string path = dir + "/" + llm_arch_name(arch) + (moe ? "-moe.gguf" : "-dense.gguf"); + LOG_INF("%s: Saving %s model (%s) to %s...\n", __func__, llm_arch_name(arch), moe ? "MoE" : "dense", path.c_str()); + llama_model_save_to_file(model_and_ctx.first.get(), path.c_str()); + } + } + llama_log_set(ud.original_logger.callback, ud.original_logger.user_data); + return 0; +} + +static int test_backends(const llm_arch target_arch, const size_t seed, const ggml_log_level log_level) { + struct user_data_t { + struct { + ggml_log_callback callback; + void * user_data; + } original_logger; + ggml_log_level min_level; // prints below this log level go to debug log + }; + user_data_t ud; + llama_log_get(&ud.original_logger.callback, &ud.original_logger.user_data); + ud.min_level = log_level; + + llama_log_set([](ggml_log_level level, const char * text, void * user_data) { + const user_data_t * ud = (const user_data_t *) user_data; + const ggml_log_level level_eff = level >= ud->min_level ? level : GGML_LOG_LEVEL_DEBUG; + ud->original_logger.callback(level_eff, text, ud->original_logger.user_data); + }, &ud); + + const std::vector tokens = get_tokens(128, 128, seed); + + bool all_ok = true; + common_log_flush(common_log_main()); + printf("|%15s|%30s|%6s|%8s|%6s|\n", "Model arch.", "Device", "Config", "NMSE", "Status"); + printf("|---------------|------------------------------|------|--------|------|\n"); + for (const llm_arch & arch : llm_arch_all()) { + if (target_arch != LLM_ARCH_UNKNOWN && arch != target_arch) { + continue; + } + if (arch == LLM_ARCH_CLIP || arch == LLM_ARCH_GPTJ || arch == LLM_ARCH_UNKNOWN) { + continue; // These models don't have usable implementations. + } + if (arch == LLM_ARCH_WAVTOKENIZER_DEC) { + continue; // FIXME CUDA backend crashes. + } + if (arch == LLM_ARCH_LLAMA_EMBED || arch == LLM_ARCH_GEMMA_EMBEDDING || arch == LLM_ARCH_T5ENCODER) { + continue; // FIXME Embedding (?) models produce inconsistent results. + } + if (arch == LLM_ARCH_RWKV6 || arch == LLM_ARCH_RWKV6QWEN2 || arch == LLM_ARCH_RWKV7 || arch == LLM_ARCH_ARWKV7) { + continue; // FIXME RWKV models hang indefinitely. + } + if (arch == LLM_ARCH_BERT || arch == LLM_ARCH_MODERN_BERT || arch == LLM_ARCH_NOMIC_BERT || arch == LLM_ARCH_NOMIC_BERT_MOE || + arch == LLM_ARCH_NEO_BERT || arch == LLM_ARCH_JINA_BERT_V2 || arch == LLM_ARCH_JINA_BERT_V3 || arch == LLM_ARCH_EUROBERT) { + continue; // TODO vocab + } + if (arch == LLM_ARCH_PLM) { + continue; // TODO tensor shapes + } + + // FIXME some models are segfaulting with WebGPU: +#ifdef GGML_USE_WEBGPU + if (arch == LLM_ARCH_QWEN3NEXT || arch == LLM_ARCH_QWEN35 || arch == LLM_ARCH_QWEN35MOE || arch == LLM_ARCH_KIMI_LINEAR) { + continue; + } +#endif // GGML_USE_WEBGPU + + const bool encode = arch == LLM_ARCH_T5; + for (bool moe : {false, true}) { + if (moe && !moe_implemented(arch)) { + continue; + } + if (!moe && moe_mandatory(arch)) { + continue; + } + gguf_context_ptr gguf_ctx = get_gguf_ctx(arch, moe); + auto model_and_ctx_cpu = get_model_and_ctx(gguf_ctx.get(), seed, {}); + const std::vector logits_cpu = get_logits(model_and_ctx_cpu.first.get(), model_and_ctx_cpu.second.get(), tokens, encode); + for (size_t i = 0; i < ggml_backend_dev_count(); i++) { + ggml_backend_dev_t dev = ggml_backend_dev_get(i); + if (ggml_backend_dev_type(dev) == GGML_BACKEND_DEVICE_TYPE_CPU) { + continue; + } + auto model_and_ctx_dev = get_model_and_ctx(gguf_ctx.get(), seed, {dev}); + const std::vector logits_dev = get_logits(model_and_ctx_dev.first.get(), model_and_ctx_dev.second.get(), tokens, encode); + const double nmse_val = nmse(logits_cpu, logits_dev); + const bool ok = nmse_val <= 1e-4; + all_ok = all_ok && ok; + char nmse_str[10]; + snprintf(nmse_str, sizeof(nmse_str), "%.2e", nmse_val); + printf("|%15s|%30s|%6s|%8s|%17s|\n", llm_arch_name(arch), ggml_backend_dev_description(dev), + moe ? "MoE" : "Dense", nmse_str, ok ? "\033[1;32mOK\033[0m" : "\033[1;31mFAIL\033[0m"); + } + } + } + llama_log_set(ud.original_logger.callback, ud.original_logger.user_data); + return all_ok ? 0 : 1; +} + +int main(int argc, char ** argv) { + // FIXME these tests are disabled in the CI for macOS-latest-cmake-arm64 because they are segfaulting + common_init(); + std::random_device rd; + + llm_arch arch = LLM_ARCH_UNKNOWN; + size_t seed = rd(); + ggml_log_level log_level = GGML_LOG_LEVEL_ERROR; + std::string out; + + for (int i = 1; i < argc; i++) { + if (strcmp(argv[i], "-a") == 0 || strcmp(argv[i], "--arch") == 0) { + if (i + 1 < argc) { + const std::string arch_name = argv[++i]; + arch = llm_arch_from_string(arch_name); + if (arch == LLM_ARCH_UNKNOWN) { + LOG_ERR("%s: unkown LLM architecture: %s\n", __func__, arch_name.c_str()); + return 1; + } + } else { + usage(argv); + return 1; + } + } + if (strcmp(argv[i], "-s") == 0 || strcmp(argv[i], "--seed") == 0) { + if (i + 1 < argc) { + seed = std::stoull(argv[++i]); + } else { + usage(argv); + return 1; + } + } + if (strcmp(argv[i], "-v") == 0 || strcmp(argv[i], "--verbose") == 0) { + log_level = GGML_LOG_LEVEL_INFO; + continue; + } + if (strcmp(argv[i], "-o") == 0 || strcmp(argv[i], "--out") == 0) { + if (i + 1 < argc) { + out = argv[++i]; + } else { + usage(argv); + return 1; + } + } + } + + try { + if (!out.empty()) { + return save_models(arch, seed, log_level, out); + } + return test_backends(arch, seed, log_level); + } catch (const std::exception & err) { + fprintf(stderr, "encountered runtime error: %s\n", err.what()); + return -1; + } +} diff --git a/tests/test-llama-grammar.cpp b/tests/test-llama-grammar.cpp index fd45d5ada8..25f432a2f5 100644 --- a/tests/test-llama-grammar.cpp +++ b/tests/test-llama-grammar.cpp @@ -123,25 +123,27 @@ int main() std::vector> expected_stacks = { { - {LLAMA_GRETYPE_RULE_REF, 5}, + {LLAMA_GRETYPE_CHAR, 61}, + {LLAMA_GRETYPE_RULE_REF, 7}, + {LLAMA_GRETYPE_CHAR, 40}, + }, + { + {LLAMA_GRETYPE_CHAR, 61}, + {LLAMA_GRETYPE_RULE_REF, 7}, + {LLAMA_GRETYPE_RULE_REF, 3}, + {LLAMA_GRETYPE_CHAR, 48}, + }, + { + {LLAMA_GRETYPE_CHAR, 61}, + {LLAMA_GRETYPE_RULE_REF, 7}, + {LLAMA_GRETYPE_RULE_REF, 3}, + {LLAMA_GRETYPE_CHAR, 48}, + }, + { {LLAMA_GRETYPE_CHAR, 61}, {LLAMA_GRETYPE_RULE_REF, 7}, {LLAMA_GRETYPE_CHAR, 97}, }, - { - {LLAMA_GRETYPE_RULE_REF, 5}, - {LLAMA_GRETYPE_CHAR, 61}, - {LLAMA_GRETYPE_RULE_REF, 7}, - {LLAMA_GRETYPE_RULE_REF, 3}, - {LLAMA_GRETYPE_CHAR, 48}, - }, - { - {LLAMA_GRETYPE_RULE_REF, 5}, - {LLAMA_GRETYPE_CHAR, 61}, - {LLAMA_GRETYPE_RULE_REF, 7}, - {LLAMA_GRETYPE_RULE_REF, 3}, - {LLAMA_GRETYPE_CHAR, 48}, - }, { {LLAMA_GRETYPE_RULE_REF, 5}, {LLAMA_GRETYPE_CHAR, 61}, @@ -149,26 +151,24 @@ int main() {LLAMA_GRETYPE_CHAR, 40}, }, { + {LLAMA_GRETYPE_RULE_REF, 5}, + {LLAMA_GRETYPE_CHAR, 61}, + {LLAMA_GRETYPE_RULE_REF, 7}, + {LLAMA_GRETYPE_RULE_REF, 3}, + {LLAMA_GRETYPE_CHAR, 48}, + }, + { + {LLAMA_GRETYPE_RULE_REF, 5}, + {LLAMA_GRETYPE_CHAR, 61}, + {LLAMA_GRETYPE_RULE_REF, 7}, + {LLAMA_GRETYPE_RULE_REF, 3}, + {LLAMA_GRETYPE_CHAR, 48}, + }, + { + {LLAMA_GRETYPE_RULE_REF, 5}, {LLAMA_GRETYPE_CHAR, 61}, {LLAMA_GRETYPE_RULE_REF, 7}, {LLAMA_GRETYPE_CHAR, 97}, - }, - { - {LLAMA_GRETYPE_CHAR, 61}, - {LLAMA_GRETYPE_RULE_REF, 7}, - {LLAMA_GRETYPE_RULE_REF, 3}, - {LLAMA_GRETYPE_CHAR, 48}, - }, - { - {LLAMA_GRETYPE_CHAR, 61}, - {LLAMA_GRETYPE_RULE_REF, 7}, - {LLAMA_GRETYPE_RULE_REF, 3}, - {LLAMA_GRETYPE_CHAR, 48}, - }, - { - {LLAMA_GRETYPE_CHAR, 61}, - {LLAMA_GRETYPE_RULE_REF, 7}, - {LLAMA_GRETYPE_CHAR, 40}, }}; auto index = 0; @@ -195,9 +195,9 @@ int main() } std::vector next_candidates; - next_candidates.resize(24); + next_candidates.resize(23); - for (size_t i = 0; i < 24; ++i) + for (size_t i = 0; i < 23; ++i) { uint32_t *cp = new uint32_t[2]; // dynamically allocate memory for code_point cp[0] = 37 + i; @@ -210,7 +210,6 @@ int main() {0, 37}, {1, 38}, {2, 39}, - {3, 40}, {4, 41}, {5, 42}, {6, 43}, @@ -268,6 +267,7 @@ int main() {0, 37}, {1, 38}, {2, 39}, + {3, 40}, {4, 41}, {5, 42}, {6, 43}, @@ -287,13 +287,11 @@ int main() {20, 57}, {21, 58}, {22, 59}, - {23, 60}, }, { {0, 37}, {1, 38}, {2, 39}, - {3, 40}, {4, 41}, {5, 42}, {6, 43}, @@ -351,6 +349,7 @@ int main() {0, 37}, {1, 38}, {2, 39}, + {3, 40}, {4, 41}, {5, 42}, {6, 43}, @@ -370,7 +369,6 @@ int main() {20, 57}, {21, 58}, {22, 59}, - {23, 60}, }, }; diff --git a/tests/test-quantize-fns.cpp b/tests/test-quantize-fns.cpp index 037c0582bb..a8fb192623 100644 --- a/tests/test-quantize-fns.cpp +++ b/tests/test-quantize-fns.cpp @@ -20,8 +20,10 @@ constexpr float MAX_QUANTIZATION_TOTAL_ERROR_TERNARY = 0.01f; constexpr float MAX_QUANTIZATION_TOTAL_ERROR_2BITS = 0.0075f; constexpr float MAX_QUANTIZATION_TOTAL_ERROR_3BITS = 0.0040f; constexpr float MAX_QUANTIZATION_TOTAL_ERROR_3BITS_XXS = 0.0050f; +constexpr float MAX_QUANTIZATION_TOTAL_ERROR_FP4 = 0.0030f; constexpr float MAX_DOT_PRODUCT_ERROR = 0.02f; constexpr float MAX_DOT_PRODUCT_ERROR_LOWBIT = 0.04f; +constexpr float MAX_DOT_PRODUCT_ERROR_FP4 = 0.03f; constexpr float MAX_DOT_PRODUCT_ERROR_TERNARY = 0.15f; static const char* RESULT_STR[] = {"ok", "FAILED"}; @@ -149,7 +151,8 @@ int main(int argc, char * argv[]) { type == GGML_TYPE_IQ2_S ? MAX_QUANTIZATION_TOTAL_ERROR_2BITS : type == GGML_TYPE_Q3_K ? MAX_QUANTIZATION_TOTAL_ERROR_3BITS : type == GGML_TYPE_IQ3_S ? MAX_QUANTIZATION_TOTAL_ERROR_3BITS : - type == GGML_TYPE_IQ3_XXS ? MAX_QUANTIZATION_TOTAL_ERROR_3BITS_XXS : MAX_QUANTIZATION_TOTAL_ERROR; + type == GGML_TYPE_IQ3_XXS ? MAX_QUANTIZATION_TOTAL_ERROR_3BITS_XXS : + type == GGML_TYPE_NVFP4 ? MAX_QUANTIZATION_TOTAL_ERROR_FP4 : MAX_QUANTIZATION_TOTAL_ERROR; failed = !(total_error < max_quantization_error); num_failed += failed; if (failed || verbose) { @@ -169,6 +172,8 @@ int main(int argc, char * argv[]) { ? MAX_DOT_PRODUCT_ERROR_LOWBIT : type == GGML_TYPE_TQ1_0 || type == GGML_TYPE_TQ2_0 ? MAX_DOT_PRODUCT_ERROR_TERNARY + : type == GGML_TYPE_NVFP4 + ? MAX_DOT_PRODUCT_ERROR_FP4 : MAX_DOT_PRODUCT_ERROR; failed = !(vec_dot_error < max_allowed_error); num_failed += failed; diff --git a/tests/test-reasoning-budget.cpp b/tests/test-reasoning-budget.cpp new file mode 100644 index 0000000000..ab540a8463 --- /dev/null +++ b/tests/test-reasoning-budget.cpp @@ -0,0 +1,238 @@ +#include "reasoning-budget.h" +#include "unicode.h" + +#include "llama.h" +#include "ggml.h" + +#ifdef NDEBUG +#undef NDEBUG +#endif + +#include +#include +#include +#include +#include + +// Reasoning budget sampler test helper +// These tests use nullptr vocab which safely falls back to treating all tokens as complete +// (The UTF-8 boundary detection logic is tested separately in test_utf8_boundary_detection) +static void test_reasoning_budget( + const char * test_name, + const std::vector & sequence, + const std::vector & start_tokens, + const std::vector & end_tokens, + const std::vector & forced_tokens, + int32_t budget, + common_reasoning_budget_state initial_state, + size_t expected_force_start, // token index where forcing should start (SIZE_MAX = never) + size_t expected_force_end // token index where forcing should end (after this, no more forcing) +) { + // Find the maximum token ID to ensure our vocab covers all tokens + llama_token max_token = 0; + for (auto t : sequence) max_token = std::max(max_token, t); + for (auto t : start_tokens) max_token = std::max(max_token, t); + for (auto t : end_tokens) max_token = std::max(max_token, t); + for (auto t : forced_tokens) max_token = std::max(max_token, t); + + // Create a minimal sampler with mock vocabulary + // For this test, we use nullptr as vocab since we're testing state transitions + // The UTF-8 boundary check will treat all tokens as complete (safe fallback) + auto * sampler = common_reasoning_budget_init( + nullptr, // vocab - not used for basic state machine tests + start_tokens, + end_tokens, + forced_tokens, + budget, + initial_state + ); + + // Create a test token data array for checking forcing behavior + // Vocab size must be large enough to include all tokens (start, end, forced, sequence) + std::vector cur; + const size_t n_vocab = (size_t)max_token + 1; + for (size_t i = 0; i < n_vocab; i++) { + cur.emplace_back(llama_token_data{(llama_token)i, logf((float)(i+1)), 0.0f}); + } + llama_token_data_array cur_p = { cur.data(), cur.size(), -1, false }; + + size_t actual_force_start = SIZE_MAX; + size_t actual_force_end = SIZE_MAX; + + // Feed the sequence and track when forcing occurs + for (size_t i = 0; i < sequence.size(); i++) { + llama_sampler_accept(sampler, sequence[i]); + + // Check if we're in forcing state by applying and seeing if logits are modified + cur_p.selected = -1; + for (size_t j = 0; j < cur.size(); j++) { + cur[j].logit = logf((float)(j+1)); // reset logits + } + + llama_sampler_apply(sampler, &cur_p); + + // Check if forcing is active (all logits except one should be -INFINITY) + size_t finite_count = 0; + llama_token finite_token = -1; + for (size_t j = 0; j < cur.size(); j++) { + if (std::isfinite(cur[j].logit)) { + finite_count++; + finite_token = cur[j].id; + } + } + + fprintf(stderr, " i=%zu: token=%d, finite_count=%zu, finite_token=%d\n", i, (int)sequence[i], finite_count, (int)finite_token); + + if (finite_count == 1) { + if (actual_force_start == SIZE_MAX) { + actual_force_start = i; + } + actual_force_end = i; + } else if (actual_force_start != SIZE_MAX && actual_force_end != SIZE_MAX) { + // Forcing stopped + break; + } + } + + llama_sampler_free(sampler); + + // Verify forcing occurred at expected positions + if (expected_force_start == SIZE_MAX) { + if (actual_force_start != SIZE_MAX) { + fprintf(stderr, "Test '%s' FAILED: Expected no forcing, but forcing occurred at %zu\n", test_name, actual_force_start); + GGML_ASSERT(false && "Expected no forcing, but forcing occurred"); + } + } else { + if (actual_force_start == SIZE_MAX) { + fprintf(stderr, "Test '%s' FAILED: Expected forcing but none occurred\n", test_name); + GGML_ASSERT(false && "Expected forcing but none occurred"); + } + if (actual_force_start != expected_force_start) { + fprintf(stderr, "Test '%s' FAILED: Forcing started at %zu, expected %zu\n", test_name, actual_force_start, expected_force_start); + GGML_ASSERT(false && "Forcing started at wrong position"); + } + } + + if (expected_force_end != SIZE_MAX) { + if (actual_force_end < expected_force_end) { + fprintf(stderr, "Test '%s' FAILED: Forcing ended at %zu, expected >= %zu\n", test_name, actual_force_end, expected_force_end); + GGML_ASSERT(false && "Forcing ended too early"); + } + } + + fprintf(stderr, " Test '%s' passed (force_start=%zu, force_end=%zu)\n", test_name, actual_force_start, actual_force_end); + (void)sequence; +} + +// UTF-8 boundary detection unit test +// Tests common_utf8_is_complete() from reasoning-budget.h +static void test_utf8_boundary_detection() { + // Complete sequences + GGML_ASSERT(common_utf8_is_complete("hello")); + GGML_ASSERT(common_utf8_is_complete("")); + GGML_ASSERT(common_utf8_is_complete("\xC2\xA0")); // complete 2-byte UTF-8 (U+00A0) + GGML_ASSERT(common_utf8_is_complete("\xE2\x80\x9C")); // complete 3-byte UTF-8 (left double quote) + GGML_ASSERT(common_utf8_is_complete("\xF0\x9F\x98\x80")); // complete 4-byte UTF-8 (emoji) + GGML_ASSERT(common_utf8_is_complete("abc\xC3\xA9")); // ASCII + complete 2-byte + + // Incomplete sequences + GGML_ASSERT(!common_utf8_is_complete(std::string("\xC2", 1))); // 2-byte start, missing continuation + GGML_ASSERT(!common_utf8_is_complete(std::string("\xE2\x80", 2))); // 3-byte start + 1 cont, missing 1 + GGML_ASSERT(!common_utf8_is_complete(std::string("\xE2", 1))); // 3-byte start, missing 2 + GGML_ASSERT(!common_utf8_is_complete(std::string("\xF0\x9F\x98", 3))); // 4-byte start + 2 cont, missing 1 + GGML_ASSERT(!common_utf8_is_complete(std::string("\xF0\x9F", 2))); // 4-byte start + 1 cont, missing 2 + GGML_ASSERT(!common_utf8_is_complete(std::string("\xF0", 1))); // 4-byte start, missing 3 + GGML_ASSERT(!common_utf8_is_complete(std::string("\x80", 1))); // orphan continuation byte + + // Mixed: ASCII followed by start of multi-byte + GGML_ASSERT(!common_utf8_is_complete(std::string("hello\xC3", 6))); // ASCII + incomplete 2-byte + GGML_ASSERT(common_utf8_is_complete(std::string("hello\xC3\xA9", 7))); // ASCII + complete 2-byte +} + +int main(void) { + // Reasoning budget sampler tests + printf("Testing reasoning budget sampler... "); + + // Test 1: Basic budget with start/end tokens - no forcing (natural end before budget exhausted) + { + const std::vector start = {100}; // start token + const std::vector end = {101}; // end token + const std::vector forced = {102}; // forced token (not used in this test) + const std::vector sequence = {100, 50, 51, 101, 52}; // start, two tokens, end, one more + + test_reasoning_budget("natural end before budget exhausted", sequence, start, end, forced, + 5, // budget of 5 tokens + REASONING_BUDGET_IDLE, + SIZE_MAX, SIZE_MAX); // no forcing expected (natural end) + } + + // Test 2: Budget exhausted, forcing should occur + // Flow: i=0 accept(100)->COUNTING, i=1 accept(50)->remaining=1, i=2 accept(51)->remaining=0->FORCING + // Forcing is active at i=2 and i=3 (when apply() is called while in FORCING state) + // At i=4, force_pos becomes 2 which equals forced_tokens.size(), so state becomes DONE + { + const std::vector start = {100}; + const std::vector end = {101}; + const std::vector forced = {102, 101}; // forced message + end + const std::vector sequence = {100, 50, 51, 52, 53}; // start + 4 tokens (budget=2) + + test_reasoning_budget("budget exhausted forcing", sequence, start, end, forced, + 2, // budget of 2 tokens + REASONING_BUDGET_IDLE, + 2, // forcing starts at i=2 (after accept(51) depletes budget, apply() forces) + 3); // forcing continues through i=3 (at i=4 state becomes DONE) + } + + // Test 3: Activate immediately with budget=0, forcing should start right away + // Flow: Since no start token in sequence, state stays IDLE (no start/end configured means passthrough) + // This test needs start token to be in the sequence or use activate_immediately with start token present + { + const std::vector start = {100}; + const std::vector end = {101}; + const std::vector forced = {102, 101}; + const std::vector sequence = {100, 50, 51, 52}; // start token first, then 3 tokens + + test_reasoning_budget("activate immediately budget=0", sequence, start, end, forced, + 0, // budget of 0 tokens + REASONING_BUDGET_COUNTING, // starts counting, promoted to FORCING since budget=0 + 0, // forcing starts at i=0 (after accept(100), budget=0 goes straight to FORCING) + 1); // forcing continues through i=1 (at i=2 state becomes DONE) + } + + // Test 4: No start/end tokens configured - passthrough (no forcing) + { + const std::vector start = {}; + const std::vector end = {}; + const std::vector forced = {102}; + const std::vector sequence = {50, 51, 52, 53}; + + test_reasoning_budget("no start/end configured", sequence, start, end, forced, + 2, // budget + REASONING_BUDGET_IDLE, + SIZE_MAX, SIZE_MAX); // no forcing (no start/end configured) + } + + // Test 5: Activate immediately with budget > 0, count down then force + // Flow: i=0 accept(50)->remaining=1, i=1 accept(51)->remaining=0->FORCING + // So forcing starts at i=1 (apply after accept sees FORCING with force_pos=0) + { + const std::vector start = {100}; + const std::vector end = {101}; + const std::vector forced = {102, 101}; + const std::vector sequence = {50, 51, 52, 53}; + + test_reasoning_budget("activate immediately with budget", sequence, start, end, forced, + 2, // budget of 2 tokens + REASONING_BUDGET_COUNTING, + 1, // forcing starts at i=1 (after 2 accepts deplete budget) + 2); // forcing continues through i=2 + } + + printf("OK (5 tests passed)\n"); + + printf("Testing UTF-8 boundary detection... "); + test_utf8_boundary_detection(); + printf("OK\n"); + + return 0; +} diff --git a/tests/test-tokenizer-random.py b/tests/test-tokenizer-random.py index 93e697607e..25af4ee63b 100644 --- a/tests/test-tokenizer-random.py +++ b/tests/test-tokenizer-random.py @@ -16,8 +16,7 @@ import random import unicodedata from pathlib import Path -from typing import Any, Iterator, cast -from typing_extensions import Buffer +from typing import Any, Iterator import cffi from transformers import AutoTokenizer, PreTrainedTokenizer @@ -114,7 +113,7 @@ class LibLlamaModel: while num < 0 and len(self.text_buff) < (16 << 20): self.text_buff = self.ffi.new("uint8_t[]", -2 * num) num = self.lib.llama_detokenize(self.model, self.token_ids, len(ids), self.text_buff, len(self.text_buff), remove_special, unparse_special) - return str(cast(Buffer, self.ffi.buffer(self.text_buff, num)), encoding="utf-8", errors="replace") # replace errors with '\uFFFD' + return str(self.ffi.buffer(self.text_buff, num), encoding="utf-8", errors="replace") # replace errors with '\uFFFD' # pyright: ignore[reportArgumentType] class Tokenizer: @@ -438,7 +437,7 @@ def compare_tokenizers(tokenizer1: TokenizerGroundtruth, tokenizer2: TokenizerLl decode_errors = 0 MAX_ERRORS = 10 - logger.info("%s: %s" % (generator.__qualname__, "ini")) + logger.info("%s: %s" % (getattr(generator, "__qualname__", ""), "ini")) for text in generator: # print(repr(text), text.encode()) # print(repr(text), hex(ord(text[0])), text.encode()) @@ -477,7 +476,7 @@ def compare_tokenizers(tokenizer1: TokenizerGroundtruth, tokenizer2: TokenizerLl break t_total = time.perf_counter() - t_start - logger.info(f"{generator.__qualname__}: end, {t_encode1=:.3f} {t_encode2=:.3f} {t_decode1=:.3f} {t_decode2=:.3f} {t_total=:.3f}") + logger.info(f"{getattr(generator, '__qualname__', '')}: end, {t_encode1=:.3f} {t_encode2=:.3f} {t_decode1=:.3f} {t_decode2=:.3f} {t_total=:.3f}") def main(argv: list[str] | None = None): diff --git a/tools/CMakeLists.txt b/tools/CMakeLists.txt index 7c63b3aae5..b433c91d85 100644 --- a/tools/CMakeLists.txt +++ b/tools/CMakeLists.txt @@ -38,4 +38,5 @@ else() add_subdirectory(export-lora) endif() add_subdirectory(fit-params) + add_subdirectory(results) endif() diff --git a/tools/cli/README.md b/tools/cli/README.md index 22d3fc87e9..c344cab2a8 100644 --- a/tools/cli/README.md +++ b/tools/cli/README.md @@ -83,7 +83,7 @@ | `-m, --model FNAME` | model path to load
(env: LLAMA_ARG_MODEL) | | `-mu, --model-url MODEL_URL` | model download url (default: unused)
(env: LLAMA_ARG_MODEL_URL) | | `-dr, --docker-repo [/][:quant]` | Docker Hub model repository. repo is optional, default to ai/. quant is optional, default to :latest.
example: gemma3
(default: unused)
(env: LLAMA_ARG_DOCKER_REPO) | -| `-hf, -hfr, --hf-repo /[:quant]` | Hugging Face model repository; quant is optional, case-insensitive, default to Q4_K_M, or falls back to the first file in the repo if Q4_K_M doesn't exist.
mmproj is also downloaded automatically if available. to disable, add --no-mmproj
example: unsloth/phi-4-GGUF:q4_k_m
(default: unused)
(env: LLAMA_ARG_HF_REPO) | +| `-hf, -hfr, --hf-repo /[:quant]` | Hugging Face model repository; quant is optional, case-insensitive, default to Q4_K_M, or falls back to the first file in the repo if Q4_K_M doesn't exist.
mmproj is also downloaded automatically if available. to disable, add --no-mmproj
example: ggml-org/GLM-4.7-Flash-GGUF:Q4_K_M
(default: unused)
(env: LLAMA_ARG_HF_REPO) | | `-hfd, -hfrd, --hf-repo-draft /[:quant]` | Same as --hf-repo, but for the draft model (default: unused)
(env: LLAMA_ARG_HFD_REPO) | | `-hff, --hf-file FILE` | Hugging Face model file. If specified, it will override the quant in --hf-repo (default: unused)
(env: LLAMA_ARG_HF_FILE) | | `-hfv, -hfrv, --hf-repo-v /[:quant]` | Hugging Face model repository for the vocoder model (default: unused)
(env: LLAMA_ARG_HF_REPO_V) | diff --git a/tools/cli/cli.cpp b/tools/cli/cli.cpp index d43d105490..65d14e9728 100644 --- a/tools/cli/cli.cpp +++ b/tools/cli/cli.cpp @@ -57,6 +57,8 @@ struct cli_context { std::vector input_files; task_params defaults; bool verbose_prompt; + int reasoning_budget = -1; + std::string reasoning_budget_message; // thread for showing "loading" animation std::atomic loading_show; @@ -73,6 +75,8 @@ struct cli_context { // defaults.return_progress = true; // TODO: show progress verbose_prompt = params.verbose_prompt; + reasoning_budget = params.reasoning_budget; + reasoning_budget_message = params.reasoning_budget_message; } std::string generate_completion(result_timings & out_timings) { @@ -95,6 +99,24 @@ struct cli_context { task.params.chat_parser_params.parser.load(chat_params.parser); } + // reasoning budget sampler + if (reasoning_budget >= 0 && !chat_params.thinking_end_tag.empty()) { + const llama_vocab * vocab = llama_model_get_vocab( + llama_get_model(ctx_server.get_llama_context())); + + task.params.sampling.reasoning_budget_tokens = reasoning_budget; + task.params.sampling.generation_prompt = chat_params.generation_prompt; + + if (!chat_params.thinking_start_tag.empty()) { + task.params.sampling.reasoning_budget_start = + common_tokenize(vocab, chat_params.thinking_start_tag, false, true); + } + task.params.sampling.reasoning_budget_end = + common_tokenize(vocab, chat_params.thinking_end_tag, false, true); + task.params.sampling.reasoning_budget_forced = + common_tokenize(vocab, reasoning_budget_message + chat_params.thinking_end_tag, false, true); + } + rd.post_task({std::move(task)}); } @@ -193,7 +215,8 @@ struct cli_context { inputs.parallel_tool_calls = false; inputs.add_generation_prompt = true; inputs.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; - inputs.enable_thinking = common_chat_templates_support_enable_thinking(chat_params.tmpls.get()); + inputs.force_pure_content = chat_params.force_pure_content; + inputs.enable_thinking = chat_params.enable_thinking ? common_chat_templates_support_enable_thinking(chat_params.tmpls.get()) : false; // Apply chat template to the list of messages return common_chat_templates_apply(chat_params.tmpls.get(), inputs); diff --git a/tools/completion/README.md b/tools/completion/README.md index f868c2c7d7..b5eeba7334 100644 --- a/tools/completion/README.md +++ b/tools/completion/README.md @@ -166,7 +166,7 @@ llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --ignore-eos -n -1 | `-m, --model FNAME` | model path to load
(env: LLAMA_ARG_MODEL) | | `-mu, --model-url MODEL_URL` | model download url (default: unused)
(env: LLAMA_ARG_MODEL_URL) | | `-dr, --docker-repo [/][:quant]` | Docker Hub model repository. repo is optional, default to ai/. quant is optional, default to :latest.
example: gemma3
(default: unused)
(env: LLAMA_ARG_DOCKER_REPO) | -| `-hf, -hfr, --hf-repo /[:quant]` | Hugging Face model repository; quant is optional, case-insensitive, default to Q4_K_M, or falls back to the first file in the repo if Q4_K_M doesn't exist.
mmproj is also downloaded automatically if available. to disable, add --no-mmproj
example: unsloth/phi-4-GGUF:q4_k_m
(default: unused)
(env: LLAMA_ARG_HF_REPO) | +| `-hf, -hfr, --hf-repo /[:quant]` | Hugging Face model repository; quant is optional, case-insensitive, default to Q4_K_M, or falls back to the first file in the repo if Q4_K_M doesn't exist.
mmproj is also downloaded automatically if available. to disable, add --no-mmproj
example: ggml-org/GLM-4.7-Flash-GGUF:Q4_K_M
(default: unused)
(env: LLAMA_ARG_HF_REPO) | | `-hfd, -hfrd, --hf-repo-draft /[:quant]` | Same as --hf-repo, but for the draft model (default: unused)
(env: LLAMA_ARG_HFD_REPO) | | `-hff, --hf-file FILE` | Hugging Face model file. If specified, it will override the quant in --hf-repo (default: unused)
(env: LLAMA_ARG_HF_FILE) | | `-hfv, -hfrv, --hf-repo-v /[:quant]` | Hugging Face model repository for the vocoder model (default: unused)
(env: LLAMA_ARG_HF_REPO_V) | diff --git a/tools/completion/completion.cpp b/tools/completion/completion.cpp index 2e0f087184..58d598fcc0 100644 --- a/tools/completion/completion.cpp +++ b/tools/completion/completion.cpp @@ -308,6 +308,7 @@ int main(int argc, char ** argv) { inputs.use_jinja = g_params->use_jinja; inputs.messages = chat_msgs; inputs.add_generation_prompt = !params.prompt.empty(); + inputs.force_pure_content = params.force_pure_content_parser; prompt = common_chat_templates_apply(chat_templates.get(), inputs).prompt; } diff --git a/tools/llama-bench/llama-bench.cpp b/tools/llama-bench/llama-bench.cpp index 7a75026550..21173576cc 100644 --- a/tools/llama-bench/llama-bench.cpp +++ b/tools/llama-bench/llama-bench.cpp @@ -20,6 +20,7 @@ #include #include "common.h" +#include "download.h" #include "ggml.h" #include "llama.h" @@ -312,6 +313,9 @@ static std::vector parse_int_range(const std::string & s) { struct cmd_params { std::vector model; + std::vector hf_repo; + std::vector hf_file; + std::string hf_token; std::vector n_prompt; std::vector n_gen; std::vector> n_pg; @@ -351,6 +355,9 @@ struct cmd_params { static const cmd_params cmd_params_defaults = { /* model */ { "models/7B/ggml-model-q4_0.gguf" }, + /* hf_repo */ {}, + /* hf_file */ {}, + /* hf_token */ "", /* n_prompt */ { 512 }, /* n_gen */ { 128 }, /* n_pg */ {}, @@ -372,7 +379,7 @@ static const cmd_params cmd_params_defaults = { /* devices */ { {} }, /* tensor_split */ { std::vector(llama_max_devices(), 0.0f) }, /* tensor_buft_overrides*/ { std::vector{ { nullptr, nullptr } } }, - /* use_mmap */ { false }, + /* use_mmap */ { true }, /* use_direct_io */ { false }, /* embeddings */ { false }, /* no_op_offload */ { false }, @@ -393,74 +400,57 @@ static void print_usage(int /* argc */, char ** argv) { printf("\n"); printf("options:\n"); printf(" -h, --help\n"); - printf(" --numa numa mode (default: disabled)\n"); - printf(" -r, --repetitions number of times to repeat each test (default: %d)\n", - cmd_params_defaults.reps); - printf(" --prio <-1|0|1|2|3> process/thread priority (default: %d)\n", - cmd_params_defaults.prio); - printf(" --delay <0...N> (seconds) delay between each test (default: %d)\n", - cmd_params_defaults.delay); - printf(" -o, --output output format printed to stdout (default: %s)\n", - output_format_str(cmd_params_defaults.output_format)); - printf(" -oe, --output-err output format printed to stderr (default: %s)\n", - output_format_str(cmd_params_defaults.output_format_stderr)); - printf(" --list-devices list available devices and exit\n"); - printf(" -v, --verbose verbose output\n"); - printf(" --progress print test progress indicators\n"); - printf(" --no-warmup skip warmup runs before benchmarking\n"); + printf(" --numa numa mode (default: disabled)\n"); + printf(" -r, --repetitions number of times to repeat each test (default: %d)\n", cmd_params_defaults.reps); + printf(" --prio <-1|0|1|2|3> process/thread priority (default: %d)\n", cmd_params_defaults.prio); + printf(" --delay <0...N> (seconds) delay between each test (default: %d)\n", cmd_params_defaults.delay); + printf(" -o, --output output format printed to stdout (default: %s)\n", output_format_str(cmd_params_defaults.output_format)); + printf(" -oe, --output-err output format printed to stderr (default: %s)\n", output_format_str(cmd_params_defaults.output_format_stderr)); + printf(" --list-devices list available devices and exit\n"); + printf(" -v, --verbose verbose output\n"); + printf(" --progress print test progress indicators\n"); + printf(" --no-warmup skip warmup runs before benchmarking\n"); if (llama_supports_rpc()) { - printf(" -rpc, --rpc register RPC devices (comma separated)\n"); + printf(" -rpc, --rpc register RPC devices (comma separated)\n"); } printf("\n"); printf("test parameters:\n"); - printf(" -m, --model (default: %s)\n", join(cmd_params_defaults.model, ",").c_str()); - printf(" -p, --n-prompt (default: %s)\n", - join(cmd_params_defaults.n_prompt, ",").c_str()); - printf(" -n, --n-gen (default: %s)\n", join(cmd_params_defaults.n_gen, ",").c_str()); - printf(" -pg (default: %s)\n", - join(transform_to_str(cmd_params_defaults.n_pg, pair_str), ",").c_str()); - printf(" -d, --n-depth (default: %s)\n", - join(cmd_params_defaults.n_depth, ",").c_str()); - printf(" -b, --batch-size (default: %s)\n", - join(cmd_params_defaults.n_batch, ",").c_str()); - printf(" -ub, --ubatch-size (default: %s)\n", - join(cmd_params_defaults.n_ubatch, ",").c_str()); - printf(" -ctk, --cache-type-k (default: %s)\n", - join(transform_to_str(cmd_params_defaults.type_k, ggml_type_name), ",").c_str()); - printf(" -ctv, --cache-type-v (default: %s)\n", - join(transform_to_str(cmd_params_defaults.type_v, ggml_type_name), ",").c_str()); - printf(" -t, --threads (default: %s)\n", - join(cmd_params_defaults.n_threads, ",").c_str()); - printf(" -C, --cpu-mask (default: %s)\n", - join(cmd_params_defaults.cpu_mask, ",").c_str()); - printf(" --cpu-strict <0|1> (default: %s)\n", - join(cmd_params_defaults.cpu_strict, ",").c_str()); - printf(" --poll <0...100> (default: %s)\n", join(cmd_params_defaults.poll, ",").c_str()); - printf(" -ngl, --n-gpu-layers (default: %s)\n", - join(cmd_params_defaults.n_gpu_layers, ",").c_str()); - printf(" -ncmoe, --n-cpu-moe (default: %s)\n", - join(cmd_params_defaults.n_cpu_moe, ",").c_str()); - printf(" -sm, --split-mode (default: %s)\n", - join(transform_to_str(cmd_params_defaults.split_mode, split_mode_str), ",").c_str()); - printf(" -mg, --main-gpu (default: %s)\n", - join(cmd_params_defaults.main_gpu, ",").c_str()); - printf(" -nkvo, --no-kv-offload <0|1> (default: %s)\n", - join(cmd_params_defaults.no_kv_offload, ",").c_str()); - printf(" -fa, --flash-attn <0|1> (default: %s)\n", - join(cmd_params_defaults.flash_attn, ",").c_str()); - printf(" -dev, --device (default: auto)\n"); - printf(" -mmp, --mmap <0|1> (default: %s)\n", - join(cmd_params_defaults.use_mmap, ",").c_str()); - printf(" -dio, --direct-io <0|1> (default: %s)\n", - join(cmd_params_defaults.use_direct_io, ",").c_str()); - printf(" -embd, --embeddings <0|1> (default: %s)\n", - join(cmd_params_defaults.embeddings, ",").c_str()); - printf(" -ts, --tensor-split (default: 0)\n"); + printf(" -m, --model (default: %s)\n", join(cmd_params_defaults.model, ",").c_str()); + printf(" -hf, -hfr, --hf-repo /[:quant] Hugging Face model repository; quant is optional, case-insensitive\n"); + printf(" default to Q4_K_M, or falls back to the first file in the repo if Q4_K_M doesn't exist.\n"); + printf(" example: ggml-org/GLM-4.7-Flash-GGUF:Q4_K_M\n"); + printf(" (default: unused)\n"); + printf(" -hff, --hf-file Hugging Face model file. If specified, it will override the quant in --hf-repo\n"); + printf(" (default: unused)\n"); + printf(" -hft, --hf-token Hugging Face access token\n"); + printf(" (default: value from HF_TOKEN environment variable)\n"); + printf(" -p, --n-prompt (default: %s)\n", join(cmd_params_defaults.n_prompt, ",").c_str()); + printf(" -n, --n-gen (default: %s)\n", join(cmd_params_defaults.n_gen, ",").c_str()); + printf(" -pg (default: %s)\n", join(transform_to_str(cmd_params_defaults.n_pg, pair_str), ",").c_str()); + printf(" -d, --n-depth (default: %s)\n", join(cmd_params_defaults.n_depth, ",").c_str()); + printf(" -b, --batch-size (default: %s)\n", join(cmd_params_defaults.n_batch, ",").c_str()); + printf(" -ub, --ubatch-size (default: %s)\n", join(cmd_params_defaults.n_ubatch, ",").c_str()); + printf(" -ctk, --cache-type-k (default: %s)\n", join(transform_to_str(cmd_params_defaults.type_k, ggml_type_name), ",").c_str()); + printf(" -ctv, --cache-type-v (default: %s)\n", join(transform_to_str(cmd_params_defaults.type_v, ggml_type_name), ",").c_str()); + printf(" -t, --threads (default: %s)\n", join(cmd_params_defaults.n_threads, ",").c_str()); + printf(" -C, --cpu-mask (default: %s)\n", join(cmd_params_defaults.cpu_mask, ",").c_str()); + printf(" --cpu-strict <0|1> (default: %s)\n", join(cmd_params_defaults.cpu_strict, ",").c_str()); + printf(" --poll <0...100> (default: %s)\n", join(cmd_params_defaults.poll, ",").c_str()); + printf(" -ngl, --n-gpu-layers (default: %s)\n", join(cmd_params_defaults.n_gpu_layers, ",").c_str()); + printf(" -ncmoe, --n-cpu-moe (default: %s)\n", join(cmd_params_defaults.n_cpu_moe, ",").c_str()); + printf(" -sm, --split-mode (default: %s)\n", join(transform_to_str(cmd_params_defaults.split_mode, split_mode_str), ",").c_str()); + printf(" -mg, --main-gpu (default: %s)\n", join(cmd_params_defaults.main_gpu, ",").c_str()); + printf(" -nkvo, --no-kv-offload <0|1> (default: %s)\n", join(cmd_params_defaults.no_kv_offload, ",").c_str()); + printf(" -fa, --flash-attn <0|1> (default: %s)\n", join(cmd_params_defaults.flash_attn, ",").c_str()); + printf(" -dev, --device (default: auto)\n"); + printf(" -mmp, --mmap <0|1> (default: %s)\n", join(cmd_params_defaults.use_mmap, ",").c_str()); + printf(" -dio, --direct-io <0|1> (default: %s)\n", join(cmd_params_defaults.use_direct_io, ",").c_str()); + printf(" -embd, --embeddings <0|1> (default: %s)\n", join(cmd_params_defaults.embeddings, ",").c_str()); + printf(" -ts, --tensor-split (default: 0)\n"); printf(" -ot --override-tensor =;...\n"); - printf(" (default: disabled)\n"); - printf(" -nopo, --no-op-offload <0|1> (default: 0)\n"); - printf(" --no-host <0|1> (default: %s)\n", - join(cmd_params_defaults.no_host, ",").c_str()); + printf(" (default: disabled)\n"); + printf(" -nopo, --no-op-offload <0|1> (default: 0)\n"); + printf(" --no-host <0|1> (default: %s)\n", join(cmd_params_defaults.no_host, ",").c_str()); printf("\n"); printf( "Multiple values can be given for each parameter by separating them with ','\n" @@ -514,6 +504,10 @@ static cmd_params parse_cmd_params(int argc, char ** argv) { params.progress = cmd_params_defaults.progress; params.no_warmup = cmd_params_defaults.no_warmup; + if (const char * env = getenv("HF_TOKEN")) { + params.hf_token = env; + } + for (int i = 1; i < argc; i++) { arg = argv[i]; if (arg.compare(0, arg_prefix.size(), arg_prefix) == 0) { @@ -531,6 +525,26 @@ static cmd_params parse_cmd_params(int argc, char ** argv) { } auto p = string_split(argv[i], split_delim); params.model.insert(params.model.end(), p.begin(), p.end()); + } else if (arg == "-hf" || arg == "-hfr" || arg == "--hf-repo") { + if (++i >= argc) { + invalid_param = true; + break; + } + auto p = string_split(argv[i], split_delim); + params.hf_repo.insert(params.hf_repo.end(), p.begin(), p.end()); + } else if (arg == "-hff" || arg == "--hf-file") { + if (++i >= argc) { + invalid_param = true; + break; + } + auto p = string_split(argv[i], split_delim); + params.hf_file.insert(params.hf_file.end(), p.begin(), p.end()); + } else if (arg == "-hft" || arg == "--hf-token") { + if (++i >= argc) { + invalid_param = true; + break; + } + params.hf_token = argv[i]; } else if (arg == "-p" || arg == "--n-prompt") { if (++i >= argc) { invalid_param = true; @@ -961,6 +975,44 @@ static cmd_params parse_cmd_params(int argc, char ** argv) { exit(1); } + if (!params.hf_repo.empty()) { + for (size_t i = 0; i < params.hf_repo.size(); i++) { + common_params_model model; + + // step 1: no `-hff` provided, we auto-detect based on the `-hf` flag + if (params.hf_file.empty() || params.hf_file[i].empty()) { + auto auto_detected = common_get_hf_file(params.hf_repo[i], params.hf_token, false); + if (auto_detected.repo.empty() || auto_detected.ggufFile.empty()) { + exit(1); + } + + model.name = params.hf_repo[i]; + model.hf_repo = auto_detected.repo; + model.hf_file = auto_detected.ggufFile; + } else { + model.hf_file = params.hf_file[i]; + } + + // step 2: construct the model cache path + std::string clean_fname = model.hf_repo + "_" + model.hf_file; + string_replace_all(clean_fname, "\\", "_"); + string_replace_all(clean_fname, "/", "_"); + model.path = fs_get_cache_file(clean_fname); + + // step 3: download the model if not exists + std::string model_endpoint = get_model_endpoint(); + model.url = model_endpoint + model.hf_repo + "/resolve/main/" + model.hf_file; + + bool ok = common_download_model(model, params.hf_token, false); + if (!ok) { + fprintf(stderr, "error: failed to download model from %s\n", model.url.c_str()); + exit(1); + } + + params.model.push_back(model.path); + } + } + // set defaults if (params.model.empty()) { params.model = cmd_params_defaults.model; diff --git a/tools/mtmd/CMakeLists.txt b/tools/mtmd/CMakeLists.txt index 3be3c27e87..a39de8c928 100644 --- a/tools/mtmd/CMakeLists.txt +++ b/tools/mtmd/CMakeLists.txt @@ -62,6 +62,10 @@ set_target_properties(mtmd PROPERTIES PUBLIC_HEADER "${MTMD_PUBLIC_HEADERS}") +set_target_properties(mtmd + PROPERTIES + PRIVATE_HEADER debug/mtmd-debug.h) + install(TARGETS mtmd LIBRARY PUBLIC_HEADER) if (NOT MSVC) @@ -96,3 +100,9 @@ if(LLAMA_TOOLS_INSTALL) endif() target_link_libraries (${TARGET} PRIVATE common mtmd Threads::Threads) target_compile_features(${TARGET} PRIVATE cxx_std_17) + +# mtmd-debug tool +add_executable(llama-mtmd-debug debug/mtmd-debug.cpp) +set_target_properties(llama-mtmd-debug PROPERTIES OUTPUT_NAME llama-mtmd-debug) +target_link_libraries(llama-mtmd-debug PRIVATE common mtmd Threads::Threads) +target_compile_features(llama-mtmd-debug PRIVATE cxx_std_17) diff --git a/tools/mtmd/clip-graph.h b/tools/mtmd/clip-graph.h index 4c7f7504cf..3604bf77e8 100644 --- a/tools/mtmd/clip-graph.h +++ b/tools/mtmd/clip-graph.h @@ -41,6 +41,11 @@ struct clip_graph { virtual ~clip_graph() = default; virtual ggml_cgraph * build() = 0; + // wrapper around ggml_mul_mat, allow hooking (e.g. LoRA, clamping) depending on the model + // tensor w should be the weight matrix, and tensor x should be the input + virtual ggml_tensor * build_mm(ggml_tensor * w, ggml_tensor * x) const; + // TODO: build_mm(w, b, x) to support bias + // // utility functions // diff --git a/tools/mtmd/clip-impl.h b/tools/mtmd/clip-impl.h index 0c3cf8670a..3eb66f9145 100644 --- a/tools/mtmd/clip-impl.h +++ b/tools/mtmd/clip-impl.h @@ -216,6 +216,7 @@ enum projector_type { PROJECTOR_TYPE_GEMMA3, PROJECTOR_TYPE_GEMMA3NV, PROJECTOR_TYPE_GEMMA3NA, + PROJECTOR_TYPE_PHI4, PROJECTOR_TYPE_IDEFICS3, PROJECTOR_TYPE_PIXTRAL, PROJECTOR_TYPE_QWEN25VL, @@ -253,6 +254,7 @@ static std::map PROJECTOR_TYPE_NAMES = { { PROJECTOR_TYPE_GEMMA3, "gemma3"}, { PROJECTOR_TYPE_GEMMA3NV, "gemma3nv"}, { PROJECTOR_TYPE_GEMMA3NA, "gemma3na"}, + { PROJECTOR_TYPE_PHI4, "phi4"}, { PROJECTOR_TYPE_IDEFICS3, "idefics3"}, { PROJECTOR_TYPE_PIXTRAL, "pixtral"}, { PROJECTOR_TYPE_ULTRAVOX, "ultravox"}, @@ -577,10 +579,9 @@ static void print_tensor_data(ggml_tensor * t, uint8_t * data, int64_t n) { } } -void clip_debug_encode(clip_ctx * ctx, int h, int w, float fill_value); - // // API used internally with mtmd // projector_type clip_get_projector_type(const struct clip_ctx * ctx); +void clip_set_debug_output_embeddings(struct clip_ctx * ctx, bool debug); diff --git a/tools/mtmd/clip.cpp b/tools/mtmd/clip.cpp index b70bad33b6..44a19189ea 100644 --- a/tools/mtmd/clip.cpp +++ b/tools/mtmd/clip.cpp @@ -159,6 +159,8 @@ struct clip_ctx { clip_flash_attn_type flash_attn_type = CLIP_FLASH_ATTN_TYPE_AUTO; bool is_allocated = false; + bool debug_output_embeddings = false; + clip_ctx(clip_context_params & ctx_params) { flash_attn_type = ctx_params.flash_attn_type; backend_cpu = ggml_backend_init_by_type(GGML_BACKEND_DEVICE_TYPE_CPU, nullptr); @@ -205,6 +207,8 @@ struct clip_ctx { if (ctx_params.cb_eval != nullptr) { ggml_backend_sched_set_eval_callback(sched.get(), ctx_params.cb_eval, ctx_params.cb_eval_user_data); } + + debug_output_embeddings = std::getenv("MTMD_DEBUG_EMBEDDINGS") != nullptr; } ~clip_ctx() { @@ -251,6 +255,10 @@ clip_graph::clip_graph(clip_ctx * ctx, const clip_image_f32 & img) : gf = ggml_new_graph_custom(ctx0, ctx->max_nodes, false); } +ggml_tensor * clip_graph::build_mm(ggml_tensor * w, ggml_tensor * x) const { + return ggml_mul_mat(ctx0, w, x); +} + void clip_graph::cb(ggml_tensor * cur, const char * name, int il) const { if (il >= 0) { ggml_format_name(cur, "%s-%d", name, il); @@ -322,7 +330,7 @@ ggml_tensor * clip_graph::build_vit( ggml_tensor * Vcur = nullptr; if (layer.qkv_w != nullptr) { // fused qkv - cur = ggml_mul_mat(ctx0, layer.qkv_w, cur); + cur = build_mm(layer.qkv_w, cur); if (layer.qkv_b != nullptr) { cur = ggml_add(ctx0, cur, layer.qkv_b); } @@ -356,17 +364,17 @@ ggml_tensor * clip_graph::build_vit( } else { // separate q, k, v - Qcur = ggml_mul_mat(ctx0, layer.q_w, cur); + Qcur = build_mm(layer.q_w, cur); if (layer.q_b) { Qcur = ggml_add(ctx0, Qcur, layer.q_b); } - Kcur = ggml_mul_mat(ctx0, layer.k_w, cur); + Kcur = build_mm(layer.k_w, cur); if (layer.k_b) { Kcur = ggml_add(ctx0, Kcur, layer.k_b); } - Vcur = ggml_mul_mat(ctx0, layer.v_w, cur); + Vcur = build_mm(layer.v_w, cur); if (layer.v_b) { Vcur = ggml_add(ctx0, Vcur, layer.v_b); } @@ -513,7 +521,7 @@ ggml_tensor * clip_graph::build_ffn( ffn_op_type type_op, int il) const { - ggml_tensor * tmp = up ? ggml_mul_mat(ctx0, up, cur) : cur; + ggml_tensor * tmp = up ? build_mm(up, cur) : cur; cb(tmp, "ffn_up", il); if (up_b) { @@ -522,7 +530,7 @@ ggml_tensor * clip_graph::build_ffn( } if (gate) { - cur = ggml_mul_mat(ctx0, gate, cur); + cur = build_mm(gate, cur); cb(cur, "ffn_gate", il); if (gate_b) { @@ -576,7 +584,7 @@ ggml_tensor * clip_graph::build_ffn( } if (down) { - cur = ggml_mul_mat(ctx0, down, cur); + cur = build_mm(down, cur); } if (down_b) { @@ -642,7 +650,7 @@ ggml_tensor * clip_graph::build_attn( cb(cur, "kqv_out", il); if (wo) { - cur = ggml_mul_mat(ctx0, wo, cur); + cur = build_mm(wo, cur); } if (wo_b) { @@ -792,6 +800,7 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32 case PROJECTOR_TYPE_IDEFICS3: case PROJECTOR_TYPE_LFM2: case PROJECTOR_TYPE_JANUS_PRO: + case PROJECTOR_TYPE_PHI4: { builder = std::make_unique(ctx, img); } break; @@ -1144,6 +1153,13 @@ struct clip_model_loader { // ref: https://huggingface.co/LiquidAI/LFM2.5-VL-1.6B/blob/main/processor_config.json hparams.set_limit_image_tokens(64, 256); } break; + case PROJECTOR_TYPE_PHI4: + { + hparams.n_merge = 1; + get_u32(KEY_IMAGE_MIN_PIXELS, hparams.image_min_pixels); + get_u32(KEY_IMAGE_MAX_PIXELS, hparams.image_max_pixels); + hparams.set_warmup_n_tokens(16*16); + } break; case PROJECTOR_TYPE_PIXTRAL: case PROJECTOR_TYPE_LIGHTONOCR: { @@ -1841,6 +1857,13 @@ struct clip_model_loader { model.mm_1_w = get_tensor(string_format(TN_LLAVA_PROJ, 1, "weight")); model.mm_1_b = get_tensor(string_format(TN_LLAVA_PROJ, 1, "bias")); } break; + case PROJECTOR_TYPE_PHI4: + { + model.mm_0_w = get_tensor(string_format(TN_LLAVA_PROJ, 0, "weight")); + model.mm_0_b = get_tensor(string_format(TN_LLAVA_PROJ, 0, "bias")); + model.mm_2_w = get_tensor(string_format(TN_LLAVA_PROJ, 2, "weight")); + model.mm_2_b = get_tensor(string_format(TN_LLAVA_PROJ, 2, "bias")); + } break; case PROJECTOR_TYPE_LFM2A: { for (int i : {0, 2, 3, 5, 6}) { @@ -2178,8 +2201,6 @@ struct clip_init_result clip_init(const char * fname, struct clip_context_params // TODO: we don't support audio for Gemma 3N, but GGUF contains audio tensors // we can remove this check when we implement audio support for Gemma 3N skip_audio = ctx_vision->model.proj_type == PROJECTOR_TYPE_GEMMA3NV; - - // clip_debug_encode(ctx_vision, 24*14, 24*14, 0.5f); } if (loader.has_audio && !skip_audio) { @@ -3157,6 +3178,7 @@ bool clip_image_preprocess(struct clip_ctx * ctx, const clip_image_u8 * img, str res_imgs->entries.push_back(std::move(img_f32)); } break; + case PROJECTOR_TYPE_PHI4: case PROJECTOR_TYPE_PIXTRAL: case PROJECTOR_TYPE_LIGHTONOCR: { @@ -3383,6 +3405,7 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im case PROJECTOR_TYPE_MLP: case PROJECTOR_TYPE_MLP_NORM: case PROJECTOR_TYPE_JANUS_PRO: + case PROJECTOR_TYPE_PHI4: { // do nothing } break; @@ -3884,6 +3907,7 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima case PROJECTOR_TYPE_VOXTRAL: case PROJECTOR_TYPE_MUSIC_FLAMINGO: case PROJECTOR_TYPE_JANUS_PRO: + case PROJECTOR_TYPE_PHI4: case PROJECTOR_TYPE_COGVLM: { // do nothing @@ -3963,7 +3987,7 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima } // Debug: dump final embeddings if MTMD_DEBUG_EMBEDDINGS is set - if (std::getenv("MTMD_DEBUG_EMBEDDINGS") != nullptr) { + if (ctx->debug_output_embeddings) { const int64_t n_embd = embeddings->ne[0]; const int64_t n_tokens = embeddings->ne[1]; std::vector emb_data(n_embd * n_tokens); @@ -4013,6 +4037,7 @@ int clip_n_mmproj_embd(const struct clip_ctx * ctx) { case PROJECTOR_TYPE_LDPV2: return ctx->model.mm_model_peg_0_b->ne[0]; case PROJECTOR_TYPE_MLP: + case PROJECTOR_TYPE_PHI4: case PROJECTOR_TYPE_PIXTRAL: case PROJECTOR_TYPE_LIGHTONOCR: return ctx->model.mm_2_w->ne[1]; @@ -4141,14 +4166,7 @@ const clip_hparams * clip_get_hparams(const struct clip_ctx * ctx) { // // API for debugging // -void clip_debug_encode(clip_ctx * ctx, int h, int w, float fill_value) { - clip_image_f32 img; - img.nx = w; - img.ny = h; - img.buf.resize(h * w * 3); - for (int i = 0; i < h * w * 3; i++) { - img.buf[i] = static_cast(fill_value); - } - clip_image_encode(ctx, 1, &img, nullptr); - GGML_ASSERT(img.buf.empty() && "expected, always stop here"); + +void clip_set_debug_output_embeddings(clip_ctx * ctx, bool enable) { + ctx->debug_output_embeddings = enable; } diff --git a/tools/mtmd/debug/mtmd-debug.cpp b/tools/mtmd/debug/mtmd-debug.cpp new file mode 100644 index 0000000000..d42806ec3f --- /dev/null +++ b/tools/mtmd/debug/mtmd-debug.cpp @@ -0,0 +1,229 @@ +#include "mtmd-debug.h" + +#include "arg.h" +#include "debug.h" +#include "log.h" +#include "common.h" +#include "llama.h" +#include "ggml.h" +#include "mtmd.h" +#include "mtmd-helper.h" + +#include +#include +#include +#include +#include + +// INTERNAL TOOL FOR DEBUGGING PURPOSES ONLY +// NOT INTENDED FOR PUBLIC USE + +static void show_additional_info(int /*argc*/, char ** argv) { + LOG( + "Internal debugging tool for mtmd; See mtmd-debug.md for the pytorch equivalent code\n" + "Note: we repurpose some args from other examples, they will have different meaning here\n" + "\n" + "Usage: %s -m --mmproj -p -n --image --audio